The opportunity
Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy…
What you'll do
Sitting in a roadmap review, hearing a new feature requirement land, and: walking out with a concrete data collection and labeling plan already scoped against timeline and budget.
Reviewing vendor throughput against milestone dates and catching a capacity: gap before it would become a release risk.
Querying pipeline data directly to understand where quality is slipping,: rather than waiting for a ticket or ML engineer to surface the problem.
Being the person Perception Engineering calls when they need to know whether: a data deliverable is real, on time, and within budget, and making sure the team you manage translates that bar into terms vendors can execute against without ambiguity.
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.
What they're looking for
- Manage vendor allocation and budgeting in direct alignment with Nuro's milestone and release timelines.
- Oversee large-scale vendor and managed service provider relationships against: quality, latency, and volume targets, and hold them accountable when performance drifts.
- Define and maintain clear, current tracking of outcomes, risk, and data: quality so that status is never a surprise to engineering or leadership.
- Own quality as an outcome, not just a status: define what "good" looks like for deliverables within your pipelines, and hold vendors to that bar before problems surface downstream.
