We are looking for a seasoned Software Engineer passionate about creating innovative algorithmic solutions that enhance healthcare. This role combines hands-on algorithm development with cloud and DevOps responsibilities, driving the technical evolution of our healthcare platform to deliver impactful patient outcomes. If you have expertise in algorithm design, scalability, and enjoy tackling technical challenges in a collaborative environment, join our team.

Why Join Us: You’ll work on products that directly improve patient care. You'll have the opportunity to solve complex challenges at the intersection of algorithmic development and cloud computing, contribute to an environment of growth and mentorship, and see your work improve healthcare outcomes.#LI-Remote; 

What You’ll Do:

• Architect scalable and performant algorithmic solutions for healthcare products, with a focus on image processing.
• Collaborate cross-functionally with Research, Product Management, and Engineering to transform prototype algorithms into production solutions.
• Champion software best practices: testing, CI/CD, DevOps, and agile methodologies to ensure code quality, reliability, and efficiency.
• Lead technical projects end-to-end, balancing algorithm development with cloud infrastructure responsibilities.
• Mentor junior and senior engineers, contributing to team growth through pair programming, technical workshops, and regular guidance.
• Drive improvements to our cloud platform, including AWS service selection, DevOps automation, and system optimization.
• Verify production deployments, document solutions, and optimize infrastructure for scalability and performance.
• Diagnose, troubleshoot, and resolve technical issues across distributed systems under time constraints.

Required Qualifications:

• BS in Computer Science (Masters preferred) and 10+ years experience OR equivalent practical experience.
• Expertise in modern C++ and Python.
• Strong knowledge of cloud infrastructure, particularly AWS, including service configuration and qualification.
• Proven experience in software development best practices: testing, CI/CD, DevOps, and agile methodologies.
• Experience with infrastructure-as-code tools such as Terraform, Chef/Ansible, and orchestration with GitHub Actions or similar tools.
• Expert-level troubleshooting and diagnostic skills across applications, networks, and cloud environments.
• Experience leading technical projects, balancing both software development and cloud infrastructure aspects.
• Strong hands-on experience with containerization (Docker, Kubernetes).

How You Stand Out:

• Experience in medical imaging, computer vision, and 3D computational geometry.
• Experience developing medical software in regulated (FDA, MDR) environments, including working with quality and regulatory teams.
• Familiarity with cloud-based ML model deployment and working with ML research teams to scale and productize solutions.
• Deep knowledge of statistical methods, image optimization techniques, and visualization tools.

A reasonable estimate of the base salary compensation range is $146,232 to $187,177 (for all locations outside San Francisco Bay Area) and $155,750 to $240,922 (for San Francisco Bay Area), cash bonus, and stock options.