We are looking for self-driven Software Engineers—ranging from entry-level to senior—who are passionate about creating innovative algorithmic solutions to improve healthcare. In this role, you’ll have the chance to work on high-impact projects at the intersection of algorithm development, cloud infrastructure, and regulated medical environments. If you have strong communication skills, enjoy tackling complex technical challenges, and want to see your work make a direct difference in patient outcomes, we encourage you to apply. #LI-Remote
What You’ll Do:
Develop and Enhance Algorithmic Solutions – Design and implement scalable, high-performance algorithms—particularly for image processing and 3D geometry—to power healthcare products. Collaborate Across Teams – Work with Research, Product Management, and Engineering teams to transform prototype algorithms into production-ready solutions. Champion Software Best Practices – Promote testing, CI/CD, DevOps, and agile methodologies to ensure code quality, reliability, and efficiency. Manage Cloud Infrastructure and DevOps – Use AWS services, Infrastructure as Code (Terraform, Chef/Ansible), and containerization (Docker, Kubernetes) to build and optimize cloud-based solutions. Contribute to Regulated Environments – Work within a regulated setting, following documentation and quality processes. Verify production deployments, troubleshoot issues under time constraints, and maintain compliance standards.What You Bring:
Education & Experience – BS in Computer Science (or related field) or equivalent practical experience. Open to all experience levels, from recent graduates to seasoned engineers. (Senior-level candidates typically bring 5+ years of relevant experience.) Programming Skills – Proficiency in C++ and/or Python is essential. Comfortable with testing frameworks and CI/CD pipelines. Self-Driven & Communicative – Strong communication skills; able and willing to speak up with ideas or concerns. Ability to work independently while knowing when to seek collaboration. 3D Geometry Base Knowledge – Exposure to 3D computational geometry or a willingness to learn. Infrastructure as Code & Cloud – Familiarity with AWS (or equivalent cloud providers) and configuration tools (Terraform, Chef, Ansible). Experience with containerization (Docker, Kubernetes) and orchestration (GitHub Actions or similar). Testing Mindset – Commitment to robust testing practices, with a willingness to invest time in writing and maintaining test suites. Regulated Environment Readiness – Understanding of—or willingness to learn—compliance, documentation, and quality requirements in medical or similarly regulated fields.What Helps You Stand Out:
Statistical Analysis – Skills in data analysis, statistical methods, or advanced mathematics. Medical/Biomedical Background – Experience or academic background in biomedical, healthcare, or cardiology. Machine Learning & Research – Familiarity with ML model deployment, working with research teams to scale and productize solutions. Computer Vision & Image Processing – Broader experience in image optimization techniques, medical imaging, or computer vision algorithms.Why Join Us:
You will work on products that directly improve patient care and clinical outcomes. You'll tackle complex challenges at the intersection of algorithm development, machine learning, and cloud computing within a regulated environment. Join our team to advance healthcare technology, lead innovative projects, and grow professionally in a collaborative and dynamic setting.
A reasonable estimate of the base salary compensation range is $108,000 to $175,000 (for all locations outside San Francisco Bay Area) and $119,000 to $190,000 (for San Francisco Bay Area), cash bonus, and stock options.