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Staff ML Engineer designs, trains, and ships ML systems for governance and security capabilities while building infrastructure, data pipelines, and evaluation frameworks for Docker's Intelligence team.
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the worldâs largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
Dockerâs long-term vision is to become the runtime for trusted autonomy. As agents become more capable and autonomous, governance, policy, identity, and audit become foundational.
The Intelligence team builds intelligence-driven product capabilities that make software and agent execution on Docker safer, more effective, more trustworthy, and more efficient. Because Docker sits at the intersection of models, tools, software, identities, credentials, networks, and execution, we have visibility into behavior and context few other platforms can see, and we think that visibility is the foundation for a new layer of value across the platform.
Weâre hiring a Staff ML Engineer as one of the founding engineers on Intelligence Org. Youâll work directly with the teamâs first engineers and manager to figure out what to build, how to build it, and how it fits into the broader Docker platform. This is a hands-on builder role with staff-level scope: youâll shape technical direction, ship the first versions of intelligence capabilities into customer hands, and grow the foundations (data, evaluation, infrastructure) the team will rely on as it scales.
Design, train, evaluate, and ship ML systems that power governance and security capabilities, starting with problems like prompt injection detection, behavioral anomaly detection, trust scoring, and policy recommendations.
Build the supporting infrastructure: data pipelines, feature stores, model serving, evaluation harnesses, and the feedback loops that make iteration fast.
Make pragmatic build-vs-buy calls. Use frontier models, off-the-shelf tooling, and managed services to move quickly; invest in custom systems where they create durable advantage.
Set technical direction for the teamâs ML work. Own the architecture, evaluation methodology, model lifecycle, and the bar for shipping.
Help recruit, mentor, and shape the team as it grows.
This role may require participation in a 24â7 on-call rotation for the Agentic Platform; carry genuine pager responsibility for the services you build and operate
5+ years of deep applied ML/AI expertise with a track record of shipping production systems. Experience in fraud, abuse, safety, security, or trust domains, where adversarial dynamics, imbalanced data, and high-stakes decisions is valuable.
8+ yearsof professional, hands-on, full-time software engineering experience in backend, infrastructure, or platform engineering.
Bachelorâs degree in Computer Science, Engineering, or a related field, or equivalent practical experience
Youâve built and owned the systems around ML models, i.e. data pipelines, serving, evaluation, monitoring etc. and have shipped customer-facing products end to end.
You use modern AI tools fluently in your day-to-day work and have a sharp instinct for when frontier models can replace traditional ML, when they canât, and when to combine the two.
Experience with LLM-based systems in production - evaluation, prompt engineering, fine-tuning, retrieval, guardrails, agent frameworks.
Familiarity with the agent / MCP ecosystem.
Youâre energized by an early-stage effort where the roadmap is being written as the work happens, and you make crisp decisions with incomplete information.
Collaborative and low-ego. You work well across teams, write clearly, and bring others along.
Docker considers visa sponsorship on a case-by-case basis based on business needs.
Perks
Freedom & flexibility; fit your work around your life
Designated quarterly Whaleness Days plus end of year Whaleness break
Home office setup; we want you comfortable while you work
16 weeks of paid Parental leave (after 6 months of employment)
Technology stipend equivalent to $100 USD net/month
PTO plan that encourages you to take time to do the things you enjoy
Training stipend for conferences, courses and classes
Equity; we are a growing start-up and want all employees to have a share in the success of the company
Docker Swag
Medical benefits, retirement and holidays vary by country
Remote-first culture, with offices in Seattle and Paris
Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be.
#LI-REMOTE
Senior Staff Software Engineer owns the architecture of a distributed, mission-critical on-premises endpoint protection platform across multiple teams.
At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.
SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.
Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.
Weâre looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Senior Staff Software Engineer on our Self-Hosted team, you will own the architecture of SentinelOneâs self-hosted (on-prem) Endpoint Protection platform across multiple teams â a distributed, mission-critical security system deployed inside customer-controlled enterprise, government, and regulated environments. You will set the standard for how the platform achieves high availability, scalability, and reliability on infrastructure we donât operate ourselves, and influence the engineering roadmap for the product line. You are a recognized subject-matter expert who reviews and elevates the work of other senior engineers and drives complex, cross-team designs to completion.
Primary responsibilities include:
Ideal candidates will have:
AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.
We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:
Equity & Rewards
Time Off & Wellbeing
Insurance & Financial Security
Work Perks & Flexibility
Wellness & Lifestyle
This U.S. role has a base pay range that will vary based on the location of the candidate. For some locations, a different pay range may apply. If so, this range will be provided to you during the recruiting process. You can also reach out to the recruiter with any questions.
Base Salary Range
$184,000â$253,000 USD
SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
SentinelOne participates in the E-Verify Program for all U.S. based roles.
Defines and drives system-wide architectural direction for a clinical platform backend, establishing technical standards and security practices across multiple engineering teams.
Heartflow is a medical technology company advancing the diagnosis and management of coronary artery disease, the #1 cause of death worldwide, using cutting-edge technology. The flagship productâan AI-driven, non-invasive cardiac test supported by the ACC/AHA Chest Pain Guidelines called the Heartflow FFRCT Analysisâprovides a color-coded, 3D model of a patientâs coronary arteries indicating the impact blockages have on blood flow to the heart. Heartflow is the first AI-driven non-invasive integrated heart care solution across the CCTA pathway that helps clinicians identify stenoses in the coronary arteries (RoadMapâ˘Analysis), assess coronary blood flow (FFRCT Analysis), and characterize and quantify coronary atherosclerosis (Plaque Analysis). Our pipeline of products is growing and so is our team; join us in helping to revolutionize precision heartcare.
Heartflow is a publicly traded company (HTFL) that has received international recognition for exceptional strides in healthcare innovation, is supported by medical societies around the world, cleared for use in the US, UK, Europe, Japan and Canada, and has been used for more than 500,000 patients worldwide.
We are seeking a Staff System Architect who will define and drive system-wide architectural direction. In this role, you will own the technical strategy for the backend of our clinical platform, ensuring it is scalable, secure, and built to support HeartFlowâs mission for the long term.
We arenât just looking for an engineer; we are looking for a systems thinker who can shape architectural standards across teams, align technical direction with business strategy, and ensure our platform is built for the long term. You will work at the intersection of complex medical data and organizational scalability, ensuring our systems are robust, secure, and ready for growth
Job Responsibilities
Qualifications required
Education: Bachelorâs degree in Computer Science, Engineering, or related discipline, or equivalent experience.
Experience: 15+ years of relevant industry experience, including significant time in senior or staff-level roles with cross-team architectural responsibility
Technical Proficiency:
Project Experience:
Leadership Skills: Proven experience setting technical vision and architectural standards; track record of mentoring senior engineers and influencing engineering culture organization-wide.
Methodologies: Experience with Agile development methodologies and project management tools.
Security Knowledge: Strong understanding of web and OWASP security best practices.
DevOps: Experience with DevOps best practices (e.g., CI/CD pipelines).
Regulatory Understanding: Experience with or demonstrable experience with FDA regulations and compliance requirements for medical software.
Collaboration: Demonstrated ability to work in a fast-paced, collaborative environment.
How you stand out
A reasonable estimate of the base salary compensation range is $200,000 to $275,000, plus bonus and equity. #LI-Hybrid
Heartflow is an Equal Opportunity Employer. We are committed to a work environment that supports, inspires, and respects all individuals and do not discriminate against any employee or applicant because of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. This policy applies to every aspect of employment at Heartflow, including recruitment, hiring, training, relocation, promotion, and termination.
Positions posted for Heartflow are not intended for or open to third party recruiters / agencies. Submission of any unsolicited resumes for these positions will be considered to be free referrals.
Heartflow has become aware of a fraud where unknown entities are posing as Heartflow recruiters in an attempt to obtain personal information from individuals as part of our application or job offer process. Before providing any personal information to outside parties, please verify the following: A) all legitimate Heartflow recruiter email addresses end with â@heartflow.comâ and B) the position described is found on our careers site at www.heartflow.com/about/careers/.
Leads an engineering team building and scaling a centralized observability platform with metrics, tracing, alerting, and AI/ML monitoring capabilities across the company.
For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and itâs what we show up for every day.
The Observability Platform team is seeking a Senior Manager of Engineering to build and lead a centralized platform capability that gives Smartsheet full-stack visibility into our most complex and consequential systems. This role owns the engineering strategy and execution for a dedicated platform consolidating multiple platforms, serving engineering teams across the company, including the Data & AI Platform, Commerce, and Infrastructure pillars.
You will lead a team based with strategic ownership spanning metrics, distributed tracing, alerting, log analytics, SLO/SLA management, and AI/ML observability integrations tied to SmartAssist and our agentic AI workstreams on Amazon Bedrock and MLflow. This is a high-leverage, high-visibility role at the intersection of platform reliability and AI-native engineering.
Current US Perks & Benefits:
Smartsheet provides a competitive base salary range for roles that may be hired in different geographic areas we are licensed to operate our business from. Actual compensation is determined by several factors including, but not limited to, level of professional, educational experience, skills, and specific candidate location. In addition, this role will be eligible for a market competitive incentive opportunity.
US Base Salary Pay Range
$205,000â$275,000 USD
Get to Know Us:
At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. Youâll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional pathsâbecause we know that impact comes from individuals who care deeply and challenge thoughtfully. When youâre doing work that stretches you, excites you, and connects you to something bigger, thatâs magic at work. Letâs build whatâs next, together.
Equal Opportunity Employer:
Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.
#LI-Remote
Lead AI engineering teams in designing, delivering, and optimizing production-ready generative AI solutions while mentoring engineers and guiding technical strategy.
We are looking for a passionate and skilled AI engineer to lead the AI engineering practice at a team or program level. In this role, you will guide the design and delivery of generative AI solutions, shape the technical roadmap for your team(s), and ensure high standards of engineering excellence. You will provide technical leadership to a small group of engineers, collaborate with product and business partners, and act as a trusted technical consultant for stakeholders.
There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.
At Thoughtworks, we use AI tools to support our recruitment team with administrative tasks such as drafting communications, scheduling interviews and writing job descriptions.
Crucially, our AI tools do not screen, assess, rank or make hiring decisions. Every application is reviewed by our team and all selection decisions are made exclusively by our interviewers and hiring managers.
We are committed to fairness and responsible AI. We actively manage our AI systems by testing, monitoring for biased outcomes and implementing mitigation measures. We hold our third-party vendors to these same high standards through a rigorous governance process. For additional information, please see our full Thoughtworks AI Policy for Recruitment.
Thoughtworks is an equal-opportunity employer. We are committed to providing equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable federal, state, or local law. We prohibit discrimination and harassment of any kind and are dedicated to providing a work environment free from discrimination and harassment. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, stermination, layoff, recall, transfer, leaves of absence, compensation, and training.
Thoughtworks is also an affirmative action employer of veterans and individuals with disabilities.
For additional information, please see the Thoughtworks, Inc. Equal Employment Opportunity & Affirmative Action Policy Statement.
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment in the United States.
Thoughtworks is committed to providing reasonable accommodations to qualified applicants with disabilities or sincerely held religious beliefs, practices, or observances, in accordance with applicable law.
If you need a reasonable accommodation to complete any part of the application process, participate in interviews, or otherwise engage in the hiring process, you may request an accommodation by completing this form or speaking with your recruiter. Requests may be made at any stage of the application or interview process.
Once a request is received, Thoughtworks will engage in an interactive process with the applicant to determine an appropriate accommodation. Applicants are not required to disclose medical diagnoses or detailed personal information in order to request an accommodation. All accommodation requests will be handled in a timely, confidential, and respectful manner, consistent with applicable legal requirements.
Requesting an accommodation will not negatively affect your consideration for employment. Company prohibits retaliation against any applicant for requesting an accommodation or participating in the accommodation process. Accommodations made during the recruitment process are not a guarantee of future or continued accommodations once hired. If you are hired by Thoughtworks, and require an accommodation to perform the essential functions of your role, you may be asked to engage in our reasonable accommodation process.
As a technology consultancy, the projects we undertake are subject to change based on client needs and agreements. While we strive for consistency, please be aware that project scope or availability may shift, or projects may even be cancelled, during the recruitment and selection process, which is often outside of our direct control. Should the project related to this vacancy be significantly altered or cancelled, all impacted candidates will be promptly and duly informed of the change
Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, weâre pushing boundaries through our purposeful and impactful work. For 30+ years, weâve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, letâs be extraordinary.
#LI-Onsite
Benefits: https://www.thoughtworks.com/en-us/careers/benefits
The annual salary range posted is subject to many factors and may vary depending on experience, geographic location, job responsibilities, performance, skills and/or training.
Salary
$198,000â$261,000 USD
See here our AI policy.
Lead AI engineer designing and delivering generative AI solutions, guiding a cross-functional team, and establishing best practices for production-ready AI systems.
We are looking for a passionate and skilled AI engineer to lead the AI engineering practice at a team or program level. In this role, you will guide the design and delivery of generative AI solutions, shape the technical roadmap for your team(s), and ensure high standards of engineering excellence. You will provide technical leadership to a small group of engineers, collaborate with product and business partners, and act as a trusted technical consultant for stakeholders.
There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.
At Thoughtworks, we use AI tools to support our recruitment team with administrative tasks such as drafting communications, scheduling interviews and writing job descriptions.
Crucially, our AI tools do not screen, assess, rank or make hiring decisions. Every application is reviewed by our team and all selection decisions are made exclusively by our interviewers and hiring managers.
We are committed to fairness and responsible AI. We actively manage our AI systems by testing, monitoring for biased outcomes and implementing mitigation measures. We hold our third-party vendors to these same high standards through a rigorous governance process. For additional information, please see our full Thoughtworks AI Policy for Recruitment.
Thoughtworks is an equal-opportunity employer. We are committed to providing equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable federal, state, or local law. We prohibit discrimination and harassment of any kind and are dedicated to providing a work environment free from discrimination and harassment. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, stermination, layoff, recall, transfer, leaves of absence, compensation, and training.
Thoughtworks is also an affirmative action employer of veterans and individuals with disabilities.
For additional information, please see the Thoughtworks, Inc. Equal Employment Opportunity & Affirmative Action Policy Statement.
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment in the United States.
Thoughtworks is committed to providing reasonable accommodations to qualified applicants with disabilities or sincerely held religious beliefs, practices, or observances, in accordance with applicable law.
If you need a reasonable accommodation to complete any part of the application process, participate in interviews, or otherwise engage in the hiring process, you may request an accommodation by completing this form or speaking with your recruiter. Requests may be made at any stage of the application or interview process.
Once a request is received, Thoughtworks will engage in an interactive process with the applicant to determine an appropriate accommodation. Applicants are not required to disclose medical diagnoses or detailed personal information in order to request an accommodation. All accommodation requests will be handled in a timely, confidential, and respectful manner, consistent with applicable legal requirements.
Requesting an accommodation will not negatively affect your consideration for employment. Company prohibits retaliation against any applicant for requesting an accommodation or participating in the accommodation process. Accommodations made during the recruitment process are not a guarantee of future or continued accommodations once hired. If you are hired by Thoughtworks, and require an accommodation to perform the essential functions of your role, you may be asked to engage in our reasonable accommodation process.
As a technology consultancy, the projects we undertake are subject to change based on client needs and agreements. While we strive for consistency, please be aware that project scope or availability may shift, or projects may even be cancelled, during the recruitment and selection process, which is often outside of our direct control. Should the project related to this vacancy be significantly altered or cancelled, all impacted candidates will be promptly and duly informed of the change
Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, weâre pushing boundaries through our purposeful and impactful work. For 30+ years, weâve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, letâs be extraordinary.
#LI-Remote
Benefits: https://www.thoughtworks.com/en-us/careers/benefits
The annual salary range posted is subject to many factors and may vary depending on experience, geographic location, job responsibilities, performance, skills and/or training.
Salary
$198,000â$261,000 USD
See here our AI policy.
Staff ML Engineer designing, training, and shipping ML systems for governance and security capabilities while building supporting infrastructure and setting technical direction for the Intelligence team.
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the worldâs largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
Dockerâs long-term vision is to become the runtime for trusted autonomy. As agents become more capable and autonomous, governance, policy, identity, and audit become foundational.
The Intelligence team builds intelligence-driven product capabilities that make software and agent execution on Docker safer, more effective, more trustworthy, and more efficient. Because Docker sits at the intersection of models, tools, software, identities, credentials, networks, and execution, we have visibility into behavior and context few other platforms can see, and we think that visibility is the foundation for a new layer of value across the platform.
Weâre hiring a Staff ML Engineer as one of the founding engineers on Intelligence Org. Youâll work directly with the teamâs first engineers and manager to figure out what to build, how to build it, and how it fits into the broader Docker platform. This is a hands-on builder role with staff-level scope: youâll shape technical direction, ship the first versions of intelligence capabilities into customer hands, and grow the foundations (data, evaluation, infrastructure) the team will rely on as it scales.
Design, train, evaluate, and ship ML systems that power governance and security capabilities, starting with problems like prompt injection detection, behavioral anomaly detection, trust scoring, and policy recommendations.
Build the supporting infrastructure: data pipelines, feature stores, model serving, evaluation harnesses, and the feedback loops that make iteration fast.
Make pragmatic build-vs-buy calls. Use frontier models, off-the-shelf tooling, and managed services to move quickly; invest in custom systems where they create durable advantage.
Set technical direction for the teamâs ML work. Own the architecture, evaluation methodology, model lifecycle, and the bar for shipping.
Help recruit, mentor, and shape the team as it grows.
This role may require participation in a 24â7 on-call rotation for the Agentic Platform; carry genuine pager responsibility for the services you build and operate
5+ years of deep applied ML/AI expertise with a track record of shipping production systems. Experience in fraud, abuse, safety, security, or trust domains, where adversarial dynamics, imbalanced data, and high-stakes decisions is valuable.
8+ yearsof professional, hands-on, full-time software engineering experience in backend, infrastructure, or platform engineering.
Bachelorâs degree in Computer Science, Engineering, or a related field, or equivalent practical experience
Youâve built and owned the systems around ML models, i.e. data pipelines, serving, evaluation, monitoring etc. and have shipped customer-facing products end to end.
You use modern AI tools fluently in your day-to-day work and have a sharp instinct for when frontier models can replace traditional ML, when they canât, and when to combine the two.
Experience with LLM-based systems in production - evaluation, prompt engineering, fine-tuning, retrieval, guardrails, agent frameworks.
Familiarity with the agent / MCP ecosystem.
Youâre energized by an early-stage effort where the roadmap is being written as the work happens, and you make crisp decisions with incomplete information.
Collaborative and low-ego. You work well across teams, write clearly, and bring others along.
Docker considers visa sponsorship on a case-by-case basis based on business needs.
Perks
Freedom & flexibility; fit your work around your life
Designated quarterly Whaleness Days plus end of year Whaleness break
Home office setup; we want you comfortable while you work
16 weeks of paid Parental leave (after 6 months of employment)
Technology stipend equivalent to $100 USD net/month
PTO plan that encourages you to take time to do the things you enjoy
Training stipend for conferences, courses and classes
Equity; we are a growing start-up and want all employees to have a share in the success of the company
Docker Swag
Medical benefits, retirement and holidays vary by country
Remote-first culture, with offices in Seattle and Paris
Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be.
#LI-REMOTE
Staff-level ML engineer designs, trains, and deploys machine learning systems for security and governance capabilities on Docker's platform, including infrastructure and evaluation frameworks.
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the worldâs largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
Dockerâs long-term vision is to become the runtime for trusted autonomy. As agents become more capable and autonomous, governance, policy, identity, and audit become foundational.
The Intelligence team builds intelligence-driven product capabilities that make software and agent execution on Docker safer, more effective, more trustworthy, and more efficient. Because Docker sits at the intersection of models, tools, software, identities, credentials, networks, and execution, we have visibility into behavior and context few other platforms can see, and we think that visibility is the foundation for a new layer of value across the platform.
Weâre hiring a Staff ML Engineer as one of the founding engineers on Intelligence Org. Youâll work directly with the teamâs first engineers and manager to figure out what to build, how to build it, and how it fits into the broader Docker platform. This is a hands-on builder role with staff-level scope: youâll shape technical direction, ship the first versions of intelligence capabilities into customer hands, and grow the foundations (data, evaluation, infrastructure) the team will rely on as it scales.
Design, train, evaluate, and ship ML systems that power governance and security capabilities, starting with problems like prompt injection detection, behavioral anomaly detection, trust scoring, and policy recommendations.
Build the supporting infrastructure: data pipelines, feature stores, model serving, evaluation harnesses, and the feedback loops that make iteration fast.
Make pragmatic build-vs-buy calls. Use frontier models, off-the-shelf tooling, and managed services to move quickly; invest in custom systems where they create durable advantage.
Set technical direction for the teamâs ML work. Own the architecture, evaluation methodology, model lifecycle, and the bar for shipping.
Help recruit, mentor, and shape the team as it grows.
This role may require participation in a 24â7 on-call rotation for the Agentic Platform; carry genuine pager responsibility for the services you build and operate
5+ years of deep applied ML/AI expertise with a track record of shipping production systems. Experience in fraud, abuse, safety, security, or trust domains, where adversarial dynamics, imbalanced data, and high-stakes decisions is valuable.
8+ yearsof professional, hands-on, full-time software engineering experience in backend, infrastructure, or platform engineering.
Bachelorâs degree in Computer Science, Engineering, or a related field, or equivalent practical experience
Youâve built and owned the systems around ML models, i.e. data pipelines, serving, evaluation, monitoring etc. and have shipped customer-facing products end to end.
You use modern AI tools fluently in your day-to-day work and have a sharp instinct for when frontier models can replace traditional ML, when they canât, and when to combine the two.
Experience with LLM-based systems in production - evaluation, prompt engineering, fine-tuning, retrieval, guardrails, agent frameworks.
Familiarity with the agent / MCP ecosystem.
Youâre energized by an early-stage effort where the roadmap is being written as the work happens, and you make crisp decisions with incomplete information.
Collaborative and low-ego. You work well across teams, write clearly, and bring others along.
Docker considers visa sponsorship on a case-by-case basis based on business needs.
Perks
Freedom & flexibility; fit your work around your life
Designated quarterly Whaleness Days plus end of year Whaleness break
Home office setup; we want you comfortable while you work
16 weeks of paid Parental leave (after 6 months of employment)
Technology stipend equivalent to $100 USD net/month
PTO plan that encourages you to take time to do the things you enjoy
Training stipend for conferences, courses and classes
Equity; we are a growing start-up and want all employees to have a share in the success of the company
Docker Swag
Medical benefits, retirement and holidays vary by country
Remote-first culture, with offices in Seattle and Paris
Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be.
#LI-REMOTE
Senior Staff Software Engineer owns the architecture of SentinelOne's self-hosted endpoint protection platform, driving complex cross-team designs and setting standards for high availability and scalability.
At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.
SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.
Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.
Weâre looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Senior Staff Software Engineer on our Self-Hosted team, you will own the architecture of SentinelOneâs self-hosted (on-prem) Endpoint Protection platform across multiple teams â a distributed, mission-critical security system deployed inside customer-controlled enterprise, government, and regulated environments. You will set the standard for how the platform achieves high availability, scalability, and reliability on infrastructure we donât operate ourselves, and influence the engineering roadmap for the product line. You are a recognized subject-matter expert who reviews and elevates the work of other senior engineers and drives complex, cross-team designs to completion.
Primary responsibilities include:
Ideal candidates will have:
AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.
We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:
Equity & Rewards
Time Off & Wellbeing
Insurance & Financial Security
Work Perks & Flexibility
Wellness & Lifestyle
This U.S. role has a base pay range that will vary based on the location of the candidate. For some locations, a different pay range may apply. If so, this range will be provided to you during the recruiting process. You can also reach out to the recruiter with any questions.
Base Salary Range
$184,000â$253,000 USD
SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
SentinelOne participates in the E-Verify Program for all U.S. based roles.
Defines system-wide architectural strategy and technical standards for a medical AI platform's backend, ensuring scalability, security, and alignment with business goals across engineering teams.
Heartflow is a medical technology company advancing the diagnosis and management of coronary artery disease, the #1 cause of death worldwide, using cutting-edge technology. The flagship productâan AI-driven, non-invasive cardiac test supported by the ACC/AHA Chest Pain Guidelines called the Heartflow FFRCT Analysisâprovides a color-coded, 3D model of a patientâs coronary arteries indicating the impact blockages have on blood flow to the heart. Heartflow is the first AI-driven non-invasive integrated heart care solution across the CCTA pathway that helps clinicians identify stenoses in the coronary arteries (RoadMapâ˘Analysis), assess coronary blood flow (FFRCT Analysis), and characterize and quantify coronary atherosclerosis (Plaque Analysis). Our pipeline of products is growing and so is our team; join us in helping to revolutionize precision heartcare.
Heartflow is a publicly traded company (HTFL) that has received international recognition for exceptional strides in healthcare innovation, is supported by medical societies around the world, cleared for use in the US, UK, Europe, Japan and Canada, and has been used for more than 500,000 patients worldwide.
We are seeking a Staff System Architect who will define and drive system-wide architectural direction. In this role, you will own the technical strategy for the backend of our clinical platform, ensuring it is scalable, secure, and built to support HeartFlowâs mission for the long term.
We arenât just looking for an engineer; we are looking for a systems thinker who can shape architectural standards across teams, align technical direction with business strategy, and ensure our platform is built for the long term. You will work at the intersection of complex medical data and organizational scalability, ensuring our systems are robust, secure, and ready for growth
Job Responsibilities
Qualifications required
Education: Bachelorâs degree in Computer Science, Engineering, or related discipline, or equivalent experience.
Experience: 15+ years of relevant industry experience, including significant time in senior or staff-level roles with cross-team architectural responsibility
Technical Proficiency:
Project Experience:
Leadership Skills: Proven experience setting technical vision and architectural standards; track record of mentoring senior engineers and influencing engineering culture organization-wide.
Methodologies: Experience with Agile development methodologies and project management tools.
Security Knowledge: Strong understanding of web and OWASP security best practices.
DevOps: Experience with DevOps best practices (e.g., CI/CD pipelines).
Regulatory Understanding: Experience with or demonstrable experience with FDA regulations and compliance requirements for medical software.
Collaboration: Demonstrated ability to work in a fast-paced, collaborative environment.
How you stand out
A reasonable estimate of the base salary compensation range is $200,000 to $275,000, plus bonus and equity. #LI-Hybrid
Heartflow is an Equal Opportunity Employer. We are committed to a work environment that supports, inspires, and respects all individuals and do not discriminate against any employee or applicant because of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. This policy applies to every aspect of employment at Heartflow, including recruitment, hiring, training, relocation, promotion, and termination.
Positions posted for Heartflow are not intended for or open to third party recruiters / agencies. Submission of any unsolicited resumes for these positions will be considered to be free referrals.
Heartflow has become aware of a fraud where unknown entities are posing as Heartflow recruiters in an attempt to obtain personal information from individuals as part of our application or job offer process. Before providing any personal information to outside parties, please verify the following: A) all legitimate Heartflow recruiter email addresses end with â@heartflow.comâ and B) the position described is found on our careers site at www.heartflow.com/about/careers/.
Leads a distributed engineering team building and scaling a centralized observability platform serving all engineering teams, owning metrics, tracing, alerting, and AI/ML observability infrastructure.
For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and itâs what we show up for every day.
The Observability Platform team is seeking a Senior Manager of Engineering to build and lead a centralized platform capability that gives Smartsheet full-stack visibility into our most complex and consequential systems. This role owns the engineering strategy and execution for a dedicated platform consolidating multiple platforms, serving engineering teams across the company, including the Data & AI Platform, Commerce, and Infrastructure pillars.
You will lead a team based with strategic ownership spanning metrics, distributed tracing, alerting, log analytics, SLO/SLA management, and AI/ML observability integrations tied to SmartAssist and our agentic AI workstreams on Amazon Bedrock and MLflow. This is a high-leverage, high-visibility role at the intersection of platform reliability and AI-native engineering.
Current US Perks & Benefits:
Smartsheet provides a competitive base salary range for roles that may be hired in different geographic areas we are licensed to operate our business from. Actual compensation is determined by several factors including, but not limited to, level of professional, educational experience, skills, and specific candidate location. In addition, this role will be eligible for a market competitive incentive opportunity.
US Base Salary Pay Range
$205,000â$275,000 USD
Get to Know Us:
At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. Youâll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional pathsâbecause we know that impact comes from individuals who care deeply and challenge thoughtfully. When youâre doing work that stretches you, excites you, and connects you to something bigger, thatâs magic at work. Letâs build whatâs next, together.
Equal Opportunity Employer:
Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.
#LI-Remote
Staff engineer leading ML infrastructure team, architecting data systems and ML platforms for medical imaging at scale while mentoring engineers.
Heartflow is a medical technology company advancing the diagnosis and management of coronary artery disease, the #1 cause of death worldwide, using cutting-edge technology. The flagship productâan AI-driven, non-invasive cardiac test supported by the ACC/AHA Chest Pain Guidelines called the Heartflow FFRCT Analysisâprovides a color-coded, 3D model of a patientâs coronary arteries indicating the impact blockages have on blood flow to the heart. Heartflow is the first AI-driven non-invasive integrated heart care solution across the CCTA pathway that helps clinicians identify stenoses in the coronary arteries (RoadMapâ˘Analysis), assess coronary blood flow (FFRCT Analysis), and characterize and quantify coronary atherosclerosis (Plaque Analysis). Our pipeline of products is growing and so is our team; join us in helping to revolutionize precision heartcare.
Heartflow is a publicly traded company (HTFL) that has received international recognition for exceptional strides in healthcare innovation, is supported by medical societies around the world, cleared for use in the US, UK, Europe, Japan and Canada, and has been used for more than 500,000 patients worldwide.
Location: Hybrid / San Francisco, CA
We are looking for a Staff Software Engineer to act as the technical anchor for a small, focused team working on Data and ML infrastructure. Your work will directly support large-scale machine learning applied to precision healthcare.
This is a highly technical, player-coach role. You will set the architectural vision and guide the day-to-day technical execution of the team, remaining deeply hands-on in the codebase. Whether you are already a seasoned tech lead or a Staff Individual Contributor (IC) ready to step up and guide a sub-team of engineers, this position gives you the platform to lead technically.
This is a full-time position operating on a hybrid schedule out of our San Francisco office.
We build Data & ML infrastructure to simplify developing, evaluating, and deploying algorithms on massive medical imaging datasets. Our team owns critical platforms across the stack: data systems focused on curation and analytics, as well as our core ML environment for both training and inference.
We design our infrastructure to not just be highly performant, but also easy to use. We are proponents of self-serve interfaces and robust user documentation. Our team tackles challenging problems using first-principles thinking, and we greatly value the ability to break down complex architectural challenges into digestible, well-communicated solutions.
Salary Range: $190,000 - $250,000 base, plus cash bonus and equity.
Heartflow is an Equal Opportunity Employer. We are committed to a work environment that supports, inspires, and respects all individuals and do not discriminate against any employee or applicant because of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. This policy applies to every aspect of employment at Heartflow, including recruitment, hiring, training, relocation, promotion, and termination.
Positions posted for Heartflow are not intended for or open to third party recruiters / agencies. Submission of any unsolicited resumes for these positions will be considered to be free referrals.
Heartflow has become aware of a fraud where unknown entities are posing as Heartflow recruiters in an attempt to obtain personal information from individuals as part of our application or job offer process. Before providing any personal information to outside parties, please verify the following: A) all legitimate Heartflow recruiter email addresses end with â@heartflow.comâ and B) the position described is found on our careers site at www.heartflow.com/about/careers/.
Head of Engineering owns technology strategy, leads a high-performing engineering team, establishes system architecture, and drives AI integration across the product and business.
Freddieâs Flowers was founded by Freddie Garland in October 2014 with one ambition: to change peopleâs relationship with flowers. We believe flowers arenât only for grand occasions, but they make every day special, inspiring creativity and sparking joy.
Our starting point was our direct-to-consumer subscription model, helping us grow a loyal UK following. We launched in Germany in 2020, and then in 2021 we secured significant backing from The Craftory, a like-minded purpose-led global investment house, helping us expand, develop and grow. 2023 saw us start our gifting service â bringing the best of Freddieâs Flowers to everyone who needs it (even last minute!).
From the seed of an idea we continue to flourish; weâre now a B Corp organisation. And our founding mission remains unchanged â to change the world of flowers, and to change the world with flowers.
The Opportunity
Technology is the operating system of this business. Every customer interaction and every commercial decision flows through it. The goal is to make that operating system fast, reliable, and commercially intelligent. To make engineering the function that enables growth, not the one that responds to it.
The strategic direction is set and board-backed. The Head of Engineering owns its execution and will shape what good looks like in practice. That means ensuring a high-performing team, establishing the architecture that will carry the business through its next stage, and creating the conditions for engineering to operate as a genuine partner with a seat at the table when commercial decisions are made.
There is material commercial upside that has not yet been realised. Partnering with the Commercial function around customer data that could sharpen targeting and improve retention offers a significant opportunity. Demand forecasting, pricing optimisation, and AI integration across the product are further opportunities requiring ownership & delivery. This role has the mandate and the board visibility to pursue all of it.
What You Will Do
â Own the technology strategy end-to-end and deliver against measurable milestones
â Set the bar for a high-quality engineering team across hiring, standards, culture
â Establish engineering as a product partner, shaping the commercial roadmap as well as executing it
â Make the architecture and infrastructure decisions that will carry the business forward
â Lead the AI integration agenda across the product and the wider business
â Represent technology at leadership level with clarity and commercial authority
What We Need
â Scaled engineering in a DTC or subscription business. You know what breaks under real commercial pressure
â Hands-on technical depth: AWS-native, comfortable with architecture decisions, capable of writing production code when it matters
â Has hired engineers and built teams before
â Commercially literate. Frames technology in terms of cost, risk, and revenue, and is comfortable in a board conversation
â Motivated by what gets shipped and what it delivers, not the sophistication of the solution
Why Take This Role
â Full ownership: you are leading this team and this function. The architecture, the hiring, the standards. All yours, from day one
â A brand worth building for: Freddieâs has a genuine founder story, a loyal subscription customer base, and a floristry-first identity that sets it apart in a crowded market
â Commercial impact at scale: the data asset, the AI agenda, the shift to a mixed subscription and gifting model. There is material commercial upside for a technology leader who executes well
â Board visibility: you sit in the leadership team, report to the CGO, and have direct access to the people making the strategic decisions
â A real brief with backing to match: the strategic direction is agreed, the investment is committed, and the mandate is clear. This is not a role where you spend six months working out what to do
Inclusion:
Freddieâs Flowers recognises our success is dependent on the success of our people. Freddieâs Flowers is committed to creating an inclusive work environment with a diverse workforce where everyone feels safe and valued. All applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Designs and builds test infrastructure, automation frameworks, and validation pipelines for AI compute software kernels and hardware.
At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.
We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI.
Location: HybridâSanta Clara, CA headquarters, 3â5 days/week onsite
Team: Kernels | Reports to: Engineering Manager, Kernels
Cross-functional interface: QA / Test Engineering
We are looking for a Staff Software Engineer, Test & Validation â AI Kernels to embed within our Kernels team and own the quality engineering function for our AI compute software stack. You will design and build the test infrastructure, validation frameworks, and automated verification pipelines that ensure correctness, performance, and reliability of software kernels running on next-generation AI hardware. You will serve as the primary quality interface between the Kernels team and the broader QA organization, driving alignment on test strategy, coverage, and release readiness.
This is a high-impact, deeply technical role that requires both strong software engineering skills and a rigorous quality mindset. You will work alongside compiler engineers, ML software engineers, and hardware architects while partnering closely with QA leads to define standards and share best practices across the company.
Design, build, and maintain scalable automated test frameworks for kernel validation across simulation, emulation, and silicon targets.
Develop correctness and performance regression suites covering ML operators (GEMMs, convolutions, BLAS, SIMD ops, softmax, layer norm, pooling, etc.).
Implement testing pipelines integrated into CI/CD workflows, enabling rapid feedback on kernel changes.
Build tooling to automate comparison of kernel outputs against reference implementations (e.g., CPU-based golden references, PyTorch/TensorFlow baselines).
Develop test coverage for software kernels targeting specialized hardware including AI accelerators, DSPs, FPGAs, and SIMD vector processors (e.g., Tensilica).
Validate numerical precision, edge cases, and boundary conditions for ML operators across data types and hardware configurations.
Partner with hardware teams (mixed signal, DSP, CPU) to validate hardware-software co-design assumptions and catch integration issues early.
Drive validation of compiler-generated code paths (MLIR, LLVM, TVM, etc.) through structured test methodologies.
Act as the primary liaison between the Kernels engineering team and the QA organization, aligning on test plans, coverage criteria, and release qualification gates.
Participate in QA planning ceremonies; represent Kernels team needs and surface quality risks early.
Contribute to and help maintain shared QA infrastructure, test standards, and reporting dashboards used across engineering.
Drive root cause analysis for test failures and escaped defects; work with Kernels engineers to close gaps.
Set quality standards and best practices for the Kernels team; mentor engineers on testability design and defensive coding.
Contribute to design reviews with a quality lens, identifying areas that require additional validation before tape-out or release.
Influence test strategy across the full software stack: from unit and integration tests to system-level validation on target hardware.
BSc in Computer Engineering, Computer Science, Math, Physics, or a related field with 6+ years of industry experience; or MS with 4+ years of experience; or PhD with 2+ years of experience, with at least 2 years focused on test engineering, SDET, or quality engineering roles.
Strong understanding of computer architecture, data structures, and machine learning fundamentals, sufficient to reason about correctness and performance of ML kernels.
Proficient in C/C++ and Python; experience writing production-quality test code in these languages in Linux environments.
Experience writing automated tests for algorithms targeting specialized hardware such as GPUs, DSPs, FPGAs, or AI accelerators (e.g., using CUDA or equivalent).
Familiarity with ML operators commonly used in production workloads: GEMMs, convolutions, BLAS, SIMD operations, softmax, layer normalization, pooling, and similar.
Experience building or working within CI/CD pipelines and automated regression systems.
Track record of owning quality outcomes, not just executing tests but defining strategy, coverage, and release readiness criteria.
Strong cross-functional communication skills; comfortable working across hardware and software teams and representing quality concerns to non-QA stakeholders.
Experience embedded in a hardware-adjacent software team (AI accelerator company, cloud compute, or similar) rather than a purely software QA role.
Hands-on experience with ML frameworks such as PyTorch or TensorFlow, including the ability to write reference implementations for operator validation.
Familiarity with ML compiler toolchains (MLIR, LLVM, TVM, Glow, etc.) and how to test compiler-generated artifacts.
Experience with embedded SIMD vector processors such as Tensilica.
Prior startup or small-team experience; comfort operating with high ownership and limited process overhead.
Experience defining and implementing formal test plans and coordinating release qualification with a QA organization.
You will have a direct impact on the correctness and quality of AI compute software that ships in next-generation hardware products. As the first Staff SDET on the Kernels team, you will build quality infrastructure from the ground up and establish practices that will scale with the organization. You will work with some of the best compiler and kernel engineers in the industry, with the unique vantage point of sitting at the intersection of hardware and software quality.
Equal Opportunity Employment Policy
d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. Weâre committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.
d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.
Principal engineer designs, optimizes, and maintains pharmaceutical manufacturing systems and clean utility infrastructure while managing GMP compliance and capital projects.
Inteldot has over 15 years of experience in the life sciences industry, with allocations across Puerto Rico, the United States, Europe, and Japan. This is a great opportunity for one of our leading clients in Puerto Rico.
Administrative shift: Office hour but not limited, ability to work _on weekend or night (hybrid)
Job Description:
Manages and/or applies extensive technical expertise in the coordination of multiple, complex, non-routine projects involving the planning, design, reconfiguration, construction, maintenance and alteration of systems facilities or processes. Employs an extensive technical knowledge of more than one area of engineering (process, unit operations, and equipment project) in complex process characterization, optimization, scale-up, or manufacturing support projects.
Must Have:
Qualifications:
1. Working knowledge of pharmaceutical/biotech processes.
2. Familiarity with validation processes and documentation in a highly regulated environment.
3. Establish engineering policies for a major segment of the company.
4. Interpret, execute, and recommend modifications to company-wide policies.
5. Develop organizational budgets or project budgets encompassing all disciplines for large or complex project.
6. Ability to interpret and apply GLPs and GMPs.
7. Able to develop solutions to routine technical problems of limited scope
8. Demonstrated skills in the following areas of problem solving and applied engineering. Technical report writing and verbal communication in English.
9. Comprehensive understanding of validation protocol execution requirements.
Education:
Doctorate + 2 years Engineering experience OR Masters + 4 years of Engineering experience OR Bachelors in Engineering + 6 years of Engineering experience.
Principal engineer manages complex pharmaceutical/biotech infrastructure projects, oversees clean utilities and gas systems, and establishes engineering policies in a GMP-regulated environment.
Inteldot has over 15 years of experience in the life sciences industry, with allocations across Puerto Rico, the United States, Europe, and Japan. This is a great opportunity for one of our leading clients in Puerto Rico.
Administrative shift: Office hour but not limited, ability to work _on weekend or night (hybrid)
Job Description:
Manages and/or applies extensive technical expertise in the coordination of multiple, complex, non-routine projects involving the planning, design, reconfiguration, construction, maintenance and alteration of systems facilities or processes. Employs an extensive technical knowledge of more than one area of engineering (process, unit operations, and equipment project) in complex process characterization, optimization, scale-up, or manufacturing support projects.
Requirements (Must Have):
Responsibilities:
1. Working knowledge of pharmaceutical/biotech processes.
2. Familiarity with validation processes and documentation in a highly regulated environment.
3. Establish engineering policies for a major segment of the company.
4. Interpret, execute, and recommend modifications to company-wide policies.
5. Develop organizational budgets or project budgets encompassing all disciplines for large or complex project.
6. Ability to interpret and apply GLPs and GMPs.
7. Able to develop solutions to routine technical problems of limited scope
8. Demonstrated skills in the following areas of problem solving and applied engineering. Technical report writing and verbal communication in English.
9. Comprehensive understanding of validation protocol execution requirements.
Education:
Doctorate + 2 years Engineering experience OR Masters + 4 years of Engineering experience OR Bachelors in Engineering + 6 years of Engineering experience.
Staff engineer leads ML infrastructure team, sets architectural vision, and guides technical execution for large-scale machine learning systems in healthcare.
Heartflow is a medical technology company advancing the diagnosis and management of coronary artery disease, the #1 cause of death worldwide, using cutting-edge technology. The flagship productâan AI-driven, non-invasive cardiac test supported by the ACC/AHA Chest Pain Guidelines called the Heartflow FFRCT Analysisâprovides a color-coded, 3D model of a patientâs coronary arteries indicating the impact blockages have on blood flow to the heart. Heartflow is the first AI-driven non-invasive integrated heart care solution across the CCTA pathway that helps clinicians identify stenoses in the coronary arteries (RoadMapâ˘Analysis), assess coronary blood flow (FFRCT Analysis), and characterize and quantify coronary atherosclerosis (Plaque Analysis). Our pipeline of products is growing and so is our team; join us in helping to revolutionize precision heartcare.
Heartflow is a publicly traded company (HTFL) that has received international recognition for exceptional strides in healthcare innovation, is supported by medical societies around the world, cleared for use in the US, UK, Europe, Japan and Canada, and has been used for more than 500,000 patients worldwide.
Location: Hybrid / San Francisco, CA
We are looking for a Staff Software Engineer to act as the technical anchor for a small, focused team working on Data and ML infrastructure. Your work will directly support large-scale machine learning applied to precision healthcare.
This is a highly technical, player-coach role. You will set the architectural vision and guide the day-to-day technical execution of the team, remaining deeply hands-on in the codebase. Whether you are already a seasoned tech lead or a Staff Individual Contributor (IC) ready to step up and guide a sub-team of engineers, this position gives you the platform to lead technically.
This is a full-time position operating on a hybrid schedule out of our San Francisco office.
We build Data & ML infrastructure to simplify developing, evaluating, and deploying algorithms on massive medical imaging datasets. Our team owns critical platforms across the stack: data systems focused on curation and analytics, as well as our core ML environment for both training and inference.
We design our infrastructure to not just be highly performant, but also easy to use. We are proponents of self-serve interfaces and robust user documentation. Our team tackles challenging problems using first-principles thinking, and we greatly value the ability to break down complex architectural challenges into digestible, well-communicated solutions.
Salary Range: $190,000 - $250,000 base, plus cash bonus and equity.
Heartflow is an Equal Opportunity Employer. We are committed to a work environment that supports, inspires, and respects all individuals and do not discriminate against any employee or applicant because of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. This policy applies to every aspect of employment at Heartflow, including recruitment, hiring, training, relocation, promotion, and termination.
Positions posted for Heartflow are not intended for or open to third party recruiters / agencies. Submission of any unsolicited resumes for these positions will be considered to be free referrals.
Heartflow has become aware of a fraud where unknown entities are posing as Heartflow recruiters in an attempt to obtain personal information from individuals as part of our application or job offer process. Before providing any personal information to outside parties, please verify the following: A) all legitimate Heartflow recruiter email addresses end with â@heartflow.comâ and B) the position described is found on our careers site at www.heartflow.com/about/careers/.
Staff engineer leading ML infrastructure team, architecting data systems and ML platforms for medical imaging at scale while remaining hands-on in codebase.
Heartflow is a medical technology company advancing the diagnosis and management of coronary artery disease, the #1 cause of death worldwide, using cutting-edge technology. The flagship productâan AI-driven, non-invasive cardiac test supported by the ACC/AHA Chest Pain Guidelines called the Heartflow FFRCT Analysisâprovides a color-coded, 3D model of a patientâs coronary arteries indicating the impact blockages have on blood flow to the heart. Heartflow is the first AI-driven non-invasive integrated heart care solution across the CCTA pathway that helps clinicians identify stenoses in the coronary arteries (RoadMapâ˘Analysis), assess coronary blood flow (FFRCT Analysis), and characterize and quantify coronary atherosclerosis (Plaque Analysis). Our pipeline of products is growing and so is our team; join us in helping to revolutionize precision heartcare.
Heartflow is a publicly traded company (HTFL) that has received international recognition for exceptional strides in healthcare innovation, is supported by medical societies around the world, cleared for use in the US, UK, Europe, Japan and Canada, and has been used for more than 500,000 patients worldwide.
Location: Hybrid / San Francisco, CA
We are looking for a Staff Software Engineer to act as the technical anchor for a small, focused team working on Data and ML infrastructure. Your work will directly support large-scale machine learning applied to precision healthcare.
This is a highly technical, player-coach role. You will set the architectural vision and guide the day-to-day technical execution of the team, remaining deeply hands-on in the codebase. Whether you are already a seasoned tech lead or a Staff Individual Contributor (IC) ready to step up and guide a sub-team of engineers, this position gives you the platform to lead technically.
This is a full-time position operating on a hybrid schedule out of our San Francisco office.
We build Data & ML infrastructure to simplify developing, evaluating, and deploying algorithms on massive medical imaging datasets. Our team owns critical platforms across the stack: data systems focused on curation and analytics, as well as our core ML environment for both training and inference.
We design our infrastructure to not just be highly performant, but also easy to use. We are proponents of self-serve interfaces and robust user documentation. Our team tackles challenging problems using first-principles thinking, and we greatly value the ability to break down complex architectural challenges into digestible, well-communicated solutions.
Salary Range: $190,000 - $250,000 base, plus cash bonus and equity.
Heartflow is an Equal Opportunity Employer. We are committed to a work environment that supports, inspires, and respects all individuals and do not discriminate against any employee or applicant because of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. This policy applies to every aspect of employment at Heartflow, including recruitment, hiring, training, relocation, promotion, and termination.
Positions posted for Heartflow are not intended for or open to third party recruiters / agencies. Submission of any unsolicited resumes for these positions will be considered to be free referrals.
Heartflow has become aware of a fraud where unknown entities are posing as Heartflow recruiters in an attempt to obtain personal information from individuals as part of our application or job offer process. Before providing any personal information to outside parties, please verify the following: A) all legitimate Heartflow recruiter email addresses end with â@heartflow.comâ and B) the position described is found on our careers site at www.heartflow.com/about/careers/.
Leads engineering teams and technical strategy at an ad tech company serving 150,000+ publishers.
Designs, builds, and maintains data platform infrastructure that processes billions of events for digital audience measurement systems.
