Staff Software Engineer / Tech Lead, HeartFlow
ML Infrastructure
$190-250k
+ bonus and equity
Medical equipment manufacturing
Be an early applicant
Medical equipment manufacturing
501-1000 employees
Be an early applicant
$190-250k
+ bonus and equity
501-1000 employees
Company mission
To establish a new era of personalized care by delivering AI-driven analysis and insights to proactively manage CAD for life.
Role
Who you are
- 8+ years of professional software engineering experience, with a strong focus on ML infrastructure, distributed systems, or MLOps
- A history of mentoring peers and leading technical projects, and an excitement to act as the technical anchor for a small team of engineers
- Ability to write clear, well-tested, and scalable code, with high proficiency in Python
- Deep understanding of modern distributed computing architectures and how to optimize heavy compute and cloud-data workloads (AWS, GCP, or Azure)
- Familiarity with infrastructure as code (e.g., CDK, Terraform)
- Familiarity with modern distributed computing frameworks and table formats like Ray, Kubernetes, and Apache Iceberg
- Knowledge of cross-language bindings for high-performance computing (e.g., C++/Python)
- Prior experience in the healthcare domain, highly-regulated environments, or handling image-based algorithms is a huge plus
What the job involves
- 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
- Act as the technical lead and mentor for a small, high-impact team of engineers, guiding system design, conducting code reviews, and unblocking technical hurdles
- Write high-performance Python code and utilize frameworks like Ray to architect and maintain large-scale distributed computing platforms for ML training and evaluation
- Spearhead the deployment of complex ML algorithms into highly available, scalable cloud environments, ensuring models run efficiently in production
- Design and integrate robust cloud-data systems to manage the lifecycle of massive, unstructured medical datasets
- Work cross-functionally with researchers and engineers to understand how they develop models, using that understanding to solve their ML training, serving, and production monitoring needs
- Responsibly and securely utilize AI-powered development tools (like coding assistants or LLMs) to accelerate the team's engineering workflows
Our take
HeartFlow is a medical equipment manufacturer that uses CT-scanned 3D modelling to assess and analyze a patient's heart and arteries. This non-invasive process can help assess the risks of Coronary Artery Disease (CAD) and strategize the appropriate treatment.
As the world’s leading cause of death, CAD is a worthy target for improved diagnosis and treatment. HeartFlow's approach enables clinicians to deliver more effective treatments faster, making CAD more manageable than ever before.
The company has a long history of awards and innovations, adopting technological advancements as they happen. It successfully launched its IPO in 2021, although a 2022 merger with Longview Acquisitions was called off due to unfavourable market conditions. Despite this, the company remains steadfast, unveiling new technology that ensures better treatment for CAD patients.
Steph
Company Specialist at Welcome to the Jungle
Insights
4% employee growth in 12 months
Company
Funding (last 2 of 11 rounds)
Mar 2025
$98m
CONVERTIBLE
Apr 2023
$215m
SERIES F
Total funding: $980.6m
Company benefits
- Medical / Dental / Vision (90% of premium paid by Heartflow)
- Flexible Spending and Health Savings Accounts
- 401k plan with employer match
- Company holidays
- Paid sick time and vacation
- Parental leave
- EAP Program
- Free snacks and drinks
- Fitness competition, Blood drive, Waffle Wednesdays and more!
Company HQ
Old Mountain View, Mountain View, CA
Leadership
John Farquhar
(President & CEO)Joined HeartFlow in 2021 as the President and Chief Operating Officer and became the CEO in 2022. Prior to this, they were the VP and General Manager at Medtronic. They also spent 5 years as a Professional Football Player in the NFL.
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