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Salary
$268k – $279k per year
Location
In office (San Francisco)
Seniority
Principal
Visa
H-1B filings in 12 months: 2
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Jun 30, 2026.

Overview
Company
Impact
Profile match
Midjourney is an independent research laboratory whose text to image models set the visual quality benchmark for generative imagery for several years. Its products run inside a community platform where millions of users generate and refine images together, an unusual distribution choice that shaped the culture around generative art. The company remains self funded, has never raised outside venture capital and operates with a very small research team; its models are trained and served entirely on infrastructure the company controls.

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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