Software Engineer, Healthcare

Compensation

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this role is $347K - $385K, with generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits include:

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
• 401(k) retirement plan with employer match
• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend to fuel your professional growth
• Daily meals in our offices, and meal delivery credits as eligible
• Relocation support for eligible employees
• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends

About the Team

OpenAI’s Healthcare team is working to ensure that advances in AI meaningfully improve health for everyone. We build AI systems that support patients, clinicians, and healthcare organizations while setting a high standard for deploying AI responsibly in a high-stakes domain.

About the Role

We are looking for backend and full-stack software engineers to build the systems behind OpenAI’s healthcare products. You will work across backend services, APIs, data systems, integrations, and product surfaces to connect AI with healthcare workflows and enterprise data.

Responsibilities

• Design and build backend and full-stack systems powering OpenAI’s healthcare products.
• Build services, APIs, and data pipelines that connect OpenAI products with healthcare systems and enterprise data.
• Develop integrations with electronic health records and other healthcare data sources.
• Design systems that meet demanding requirements around privacy, security, permissions, compliance, and data governance.
• Own features and systems from early architecture and implementation through deployment, monitoring, and iteration.
• Build reliable systems capable of handling complex data flows, partial failures, and evolving integration requirements.
• Partner closely with product, research, security, privacy, GTM, and healthcare organizations to translate real-world workflows into scalable products.
• Improve the reliability, performance, observability, and operational maturity of production healthcare systems.
• Take ownership of ambiguous technical problems and drive them toward practical, durable solutions.

Requirements

• Are a strong backend or full-stack engineer who enjoys building durable production systems.
• Have 5+ years of experience writing maintainable, production-quality software.
• Have strong experience with backend services, APIs, data systems, or distributed systems.
• Are comfortable reasoning about system architecture, data models, authentication, permissions, and integration boundaries.
• Have experience owning production systems at scale, including observability, testing, incident response, migrations, and rollout.
• Can move between product requirements and technical architecture without losing ownership of either.
• Operate with high agency and are comfortable taking ambiguous problems from definition through production.
• Enjoy working directly with cross-functional partners and customers to understand complex workflows.
• Care deeply about reliability, privacy, security, and correctness.
• Are motivated by the opportunity to improve healthcare through AI.

Nice to Have

• Experience building enterprise SaaS products or platforms.
• Experience with distributed systems, backend architecture, or large-scale data pipelines.
• Experience building integrations with complex third-party systems or APIs.
• Experience with authentication, identity, permissions, or enterprise security.
• Experience working in regulated industries such as healthcare, finance, or enterprise infrastructure.
• Experience with healthcare interoperability, EHR systems, or healthcare data standards.
• Experience building HIPAA-compliant products or systems.
• Experience building applied AI or conversational products.
• Previous experience in healthcare or health technology.