Principal Software Engineer

Posted Yesterday
7 Locations
In-Office or Remote
Expert/Leader
Artificial Intelligence • Generative AI
The Role
Lead architecture and core runtime foundations for a distributed scanner platform, driving reliability, observability, performance, and engineering rigor while collaborating with hardware and ML teams and mentoring engineers.
Summary Generated by Built In
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.

Skills Required

  • Deep software architecture experience for robotics, instrumentation, medical devices, or other complex distributed products
  • Strong Python and concurrency background (asyncio, multiprocessing, profiling, performance engineering)
  • Track record of shipping observable, debuggable, and resilient systems
  • Strong technical leadership, mentoring, and pragmatic decision-making
  • Experience with RPC/message-passing boundaries and clear interfaces (gRPC/protobuf or equivalent)
  • Practical security-minded device software experience (encrypted data paths, safe defaults, PII/PHI handling)
  • Operational experience: remote updates/management, excellent logging, diagnostics for hardware
Am I A Good Fit?
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The Company
HQ: San Francisco, California

What We Do

Midjourney is an independent research lab exploring new mediums of thought and expanding the imaginative powers of the human species.

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