We are seeking a passionate Software Engineer eager to create innovative algorithmic solutions that enhance healthcare. This role focuses on hands-on algorithm development with opportunities to engage in cloud and DevOps tasks, contributing to the evolution of our healthcare platform to deliver impactful patient outcomes. If you have a strong foundation in algorithm design and enjoy tackling technical challenges in a collaborative environment, we invite you to join our team.

Why Join Us:

You’ll work on products that directly improve patient care. You'll have the opportunity to tackle complex challenges at the intersection of algorithmic development and cloud computing, learn from experienced professionals, and contribute meaningfully to healthcare outcomes.

What You’ll Do:

Develop scalable and performant algorithmic solutions for healthcare products, focusing on image processing and scientific visualization. Collaborate cross-functionally with Research, Product Management, and Engineering teams to transform prototype algorithms into production-ready solutions. Participate in software best practices, including testing, CI/CD, DevOps, and agile methodologies to ensure code quality, reliability, and efficiency. Contribute to technical projects, balancing algorithm development with learning about cloud infrastructure responsibilities. Engage in team growth through pair programming, code reviews, and knowledge sharing. Assist in improving our cloud platform by contributing to AWS service utilization, DevOps automation, and system optimization. Support production deployments, document solutions, and help optimize infrastructure for scalability and performance. Help diagnose, troubleshoot, and resolve technical issues across distributed systems under guidance.

Required Qualifications:

Bachelor’s degree in Computer Science or related field, or equivalent practical experience. Proficiency in modern C++ and Python programming languages. Basic understanding of cloud infrastructure, particularly AWS or similar cloud services. Familiarity with software development best practices: testing, CI/CD, DevOps, and agile methodologies. Experience with or willingness to learn infrastructure-as-code tools such as Terraform, Chef/Ansible, and orchestration tools like GitHub Actions. Good troubleshooting and diagnostic skills. Exposure to containerization technologies (Docker, Kubernetes) is a plus. Strong collaborative and communication skills.

How You Stand Out:

Experience or coursework in medical imaging, computer vision, or 3D computational geometry. Familiarity with developing software in regulated environments (FDA, MDR) is a plus. Interest in cloud-based ML model deployment and collaborating with ML research teams. Knowledge of statistical methods, image optimization techniques, or visualization tools.

A reasonable estimate of the base salary compensation range is $108,000 to $152,082 (for all locations outside San Francisco Bay Area) and $119,000 to $181,475 (for San Francisco Bay Area), cash bonus, and stock options.