Source description
About the role
What You’ll DO
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Act as the technical lead for large parts of the scanner platform: system architecture, codebase structure, and long-term maintainability.
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Own core runtime foundations: distributed control, state management, fault handling, and reliability.
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Drive engineering rigor: testability, code quality, review standards, performance regression prevention, and release processes.
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Build robust observability: logs, metrics, traces, and replayable diagnostics (with privacy constraints).
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Collaborate with hardware and recon/ML teams to define interfaces, data contracts, timing/synchronization, and failure modes.
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Lead complex refactors (e.g., message passing / RPC boundaries, modularization, concurrency model) without halting forward progress.
What We’re Looking FOR
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Deep software architecture experience for real-world systems: robotics, instrumentation, medical devices, or other complex distributed products.
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Strong Python and concurrency background (asyncio, multiprocessing, profiling, performance engineering).
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Track record of shipping systems that are observable, debuggable, and resilient.
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Strong technical leadership: clarity, pragmatic trade-offs, and mentoring.
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USEFUL EXPERIENCE
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Building but rock-solid systems: clear interfaces (gRPC/protobuf or equivalent), strong state modeling, and failure handling.
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High-leverage engineering habits on a lean team: good tests, CI, reproducible dev environments, and fast code review.
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Practical performance + concurrency work in Python (asyncio, profiling, multiprocessing) and comfort debugging distributed behavior.
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Security-minded device software: safe defaults, encrypted data paths, and disciplined handling of PII/PHI.
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Operational thinking: remote updates/management, excellent logging, and diagnostics that make real hardware debuggable.
More at Midjourney
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