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Midjourney

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www.midjourney.com

Midjourney is a non-profit research lab that is investigating new thought mediums to improve the human species' inventive abilities.

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New role every
~3.9 days

Company signals

Score: 86
Repost rate (90d) 0% Wikipedia Yes Stale listings 0% GitHub org Yes First leadership hire Yes HN mentions (90d) 8 New cities (90d) 2 GitHub stars 482

Job facts

Location
San Francisco, California, United States of America
Workplace
Onsite
Type
Full-time
Department
Midjourney Medical
Posted
Jun 30, 2026

Last verified live 10 hours, 7 minutes ago · checked directly on the company's Ashby

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Principal Software Engineer

at Midjourney


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.