Job Description
The Perception ML Operations team sits at the center of how Nuro's vehicles learn to see.
Key Responsibilities
- This is a role built for someone who wants to own outcomes, not just track them. You will translate company-wide perception feature requirements into concrete data deliverables, manage vendor allocation and budget against Nuro's milestone and release timelines, and keep a clear, defensible view of outcomes, risk, and data quality across the pipelines you own — distinguishing a one-off labeling error from a systemic labeling process problem, and closing the gap either way.
- The work connects directly to Nuro's mission. Perception models are only as good as the data behind them, and every gap in coverage, every misallocated vendor hour, and every quality blind spot eventually shows up in how the vehicle sees the world. You are the person who catches that upstream, before it becomes an engineering fire drill or a safety question.
- You'll partner closely with ML engineering leadership, product owners, and vendor operations, with the access and visibility to make real calls on scope, budget, and quality tradeoffs. What we ask in return is rigor, clear communication, and genuine ownership of the outcome.
Requirements
- Synthesize company-wide perception feature needs into detailed, actionable data deliverables covering vision, LiDAR, and additional sensor modalities.
- Own the end-to-end labeling process, from data availability through an outcome Perception can train on, directing data annotation partners to execute against that bar.
- We are not looking for someone who has done everything. We are looking for someone who thinks in systems, owns outcomes rather than status updates, and has genuine command of both the operational and technical sides of perception data.
- 5+ years of experience in Technical Program Management or Operations Strategy, managing complex, cross-functional programs within technology, autonomous driving, or AI/ML.
- Demonstrated ability to translate high-level product roadmaps and engineering requirements into granular operational execution plans, including managing resource allocation and throughput for large-scale workflows.
- Experience overseeing large-scale vendor operations or managed service providers, specifically against quality, latency, and volume targets.
- Proficiency with SQL to query databases, analyze throughput metrics, and generate reports independently.
- A track record of holding vendors accountable to a quality bar you've defined yourself, not just monitoring metrics someone else set.
Ready to Apply?
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