About the job
Nuro builds self-driving technology, aiming to make autonomy widely available. Since 2016, the company has combined advanced AI with automotive-grade hardware to create the Nuro Driver™, a scalable autonomous system. Nuro’s technology supports robotaxis, commercial fleets, and personal vehicles, and is licensed to automakers and mobility platforms for commercial-scale adoption.
The Senior Software Engineer - Cloud Efficiency & Cost Optimization position is part of the Core Infrastructure group in Mountain View, California. This team works closely with engineering partners across Autonomy, ML Platform, Simulation, Perception, Behavior, Mapping, BATES, and Release Engineering. Nuro’s cloud infrastructure supports daily operations, and its efficiency directly affects how many miles are driven, models are trained, and scenarios are validated for each dollar spent. The systems built in this role impact thousands of jobs, pipelines, and services throughout the company.
What you will do
- Lead cloud efficiency projects from start to finish, identifying high-impact opportunities across storage, compute, data, and ML infrastructure. Design systems that build sustainable efficiency into the platform.
- Promote cost-aware system design by working with teams during architecture and design reviews. Ensure new systems prioritize efficiency in storage, retention, data layout, query patterns, compute sizing, and reservation strategies.
- Optimize large-scale workloads by profiling and tuning tasks such as BigQuery analytics, data pipelines, simulation storage, ML training, and GKE services to improve throughput and reduce costs.
- Build cost observability and attribution tools, including real-time visibility, anomaly detection, and granular attribution by SKU, bucket, workload, and team, to quickly catch and address issues.
- Remove systemic waste by automating lifecycle management and tiering, optimizing compute sizing, and cleaning up underutilized or orphaned resources across the infrastructure.
- Drive cross-team optimization by collaborating with engineering groups to implement and maintain cost and efficiency improvements across Nuro.

