Senior Software Engineer
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Company Description
Yumi Health builds AI that lets healthcare professionals focus on patients instead of paperwork. Our engine integrates directly into clinical and administrative workflows — cutting data-management overhead for healthcare facilities without ever sending their data off-site. Privacy is a product requirement: your information stays yours, and the technology works exclusively for you.
Role Description
This is a full-time, on-site Senior Software Engineer role in California. You’ll design, build, and maintain the systems that power Yumi’s AI platform — from backend services and data pipelines to the interfaces clinicians touch every day. Expect to work across the stack, partner closely with cross-functional teams, ship production-quality code, and help shape the engineering practices of an early-stage team.
Compensation
- Base salary: $160,000 — $300,000, depending on experience and level.
- Annual performance bonus: 8%–20% of base.
- Equity: meaningful equity grant on a standard vesting schedule.
Qualifications
- Strong fundamentals in algorithms, data structures, and systems design.
- Proven track record in building and operating scalable backend services in production.
- Fluent in at least one modern backend language (e.g. Python, Go, TypeScript, Rust) and sound OOP / API design.
- Experience across the full stack — comfortable jumping from a database schema to a React component in the same PR.
- Demonstrated ownership across the software development lifecycle: design, implementation, testing, deployment, and on-call.
- Bachelor’s or Master’s in Computer Science or a related field (or equivalent experience).
- Analytical, pragmatic, and quality-focused — you ship, you measure, and you iterate.
Preferred
- Hardware / embedded experience — firmware, device integration, sensors, or building the software that runs on custom hardware. Yumi is increasingly a hardware + software company and engineers who can cross that boundary have an outsized impact.
- Full-stack depth — shipped user-facing features end-to-end, including meaningful frontend work (React, TypeScript, Swift, or similar).
- Familiarity with healthcare technology, clinical workflows, or HIPAA-bound systems.
- Hands-on experience integrating or evaluating modern AI/LLM systems in production.
- Experience in a fast-moving startup — comfortable with ambiguity and direct ownership.