Design and implement perception systems for new product capabilities.
Design data strategy for new deployments: data to collect, labeling, production readiness.
Evaluate build-vs-reuse for new product lines, with KPIs and collaborators.
Triage field model issues: data quality, calibration, and decide fixes or escalation.

🎯 Requirements

Strong systems-level understanding of perception (planning/controls a plus).
Product-owner mindset focused on customer success and ownership.
Experience diagnosing real-world model failures and driving resolution.
Comfort translating evolving customer requirements into technical specs.
Familiarity with PyTorch, ONNX, TensorRT, Docker, Python, and C++.
Nice to have: Flyte (internal ML pipelines) experience.

🎁 Benefits

Health, dental, vision, life and disability insurance.
401(k) retirement plan with employer match.
Learning and wellness stipends.
Paid time off.

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