Midjourney · Engineering
Principal Software Engineer
Midjourney is hiring for this role, on-site in San Francisco. Posted June 30, 2026. You apply on Midjourney's own site.
- $268K - $279KPay range
- On-siteWork arrangement
- Full-timeJob type
- SeniorLevel (from the title)
How the pay compares
The middle of this posting's range is $274K, 4% below the $286K median for Software Engineer at AI Companies roles across 691 open AI postings that show pay.
About the job
From Midjourney's job posting. Check the original for the latest details before applying.
What you’ll do
- Act as the technical lead for large parts of the scanner platform: system architecture, codebase structure, and long-term maintainability.
- Own core runtime foundations: distributed control, state management, fault handling, and reliability.
- Drive engineering rigor: testability, code quality, review standards, performance regression prevention, and release processes.
- Build robust observability: logs, metrics, traces, and replayable diagnostics (with privacy constraints).
- Collaborate with hardware and recon/ML teams to define interfaces, data contracts, timing/synchronization, and failure modes.
- 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.
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