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Principal Software Engineer

  • San Francisco, CA, United States
  • San Francisco Bay Area, CA, United States

$268,000 to $279,000 USD / year

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Job details

Pay
$268,000 to $279,000 USD / year
Posting language
English
Posted

Original job description

WHAT YOU’LL DO

  1. Act as the technical lead for large parts of the scanner platform: system architecture, codebase structure, and long-term maintainability.
  2. Own core runtime foundations: distributed control, state management, fault handling, and reliability.
  3. Drive engineering rigor: testability, code quality, review standards, performance regression prevention, and release processes.
  4. Build robust observability: logs, metrics, traces, and replayable diagnostics (with privacy constraints).
  5. Collaborate with hardware and recon/ML teams to define interfaces, data contracts, timing/synchronization, and failure modes.
  6. Lead complex refactors (e.g., message passing / RPC boundaries, modularization, concurrency model) without halting forward progress.

WHAT WE’RE LOOKING FOR

  • Deep software architecture experience for real-world systems: robotics, instrumentation, medical devices, or other complex distributed products.
  • Strong Python and concurrency background (asyncio, multiprocessing, profiling, performance engineering).
  • Track record of shipping systems that are observable, debuggable, and resilient.
  • Strong technical leadership: clarity, pragmatic trade-offs, and mentoring.

USEFUL EXPERIENCE

  • Building but rock-solid systems: clear interfaces (gRPC/protobuf or equivalent), strong state modeling, and failure handling.
  • High-leverage engineering habits on a lean team: good tests, CI, reproducible dev environments, and fast code review.
  • Practical performance + concurrency work in Python (asyncio, profiling, multiprocessing) and comfort debugging distributed behavior.
  • Security-minded device software: safe defaults, encrypted data paths, and disciplined handling of PII/PHI.
  • Operational thinking: remote updates/management, excellent logging, and diagnostics that make real hardware debuggable.
More about this job

Skills

  • ML
  • Robotics
  • Medical devices
  • Python
  • Leadership
  • Coaching
  • Debugging

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