Midjourney IncSan Francisco, California, United States · Hybrid
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Midjourney Inc
San Francisco, California, United States • Hybrid
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Act as the technical lead for the scanner platform, overseeing system architecture, codebase structure, and long-term maintainability. Lead the development of core runtime foundations, observability tools, and complex refactors while collaborating with hardware and ML teams.
Requires deep software architecture experience in complex distributed systems such as robotics or medical devices. Must have strong proficiency in Python, concurrency, and a proven track record of shipping resilient, observable systems.
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.
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.
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.
Based on 4699 listings with disclosed salaries, most management & leadership jobs in San Francisco, CA pay between $100k–$260k per year. Individual offers vary with seniority, company size, and specialization.
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