Perception Engineer - Offroad
- Design and implement perception systems to enable new product capabilities, leveraging existing model heads and solving new perception tasks.
- Design the data strategy for a new deployment: what to collect, how much, and how to label it, to get a model production-ready
- Make build-vs-reuse tradeoffs when standing up new product lines, including output types, KPIs, and collaboration points with the core perception team
- Triage model and system issues in the field — timestamps, data quality, calibration, and similar — and decide whether to resolve them directly or work with the core platform team to fix them upstream
- Strong systems-level understanding of perception (and ideally planning/controls) — enough to reason about the full stack, even without owning model training personally
- A product-owner mindset: motivated by customer success and problem ownership more than by being on the cutting edge of modeling research
- Experience diagnosing real-world model failures in deployed systems and driving them to resolution, whether hands-on or through cross-team negotiation
- Comfort working with ambiguous, evolving requirements from customers and translating them into technical specs
- Familiarity with PyTorch, ONNX, TensorRT, Docker, Python, some C++
- Experience with internal ML pipeline/orchestration tooling (e.g., Flyte) is a plus
- Experience with offroad autonomy
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