Senior/Staff Software Engineer, ML Data Infrastructure

Nuro
Mountain View, California (HQ)Posted 24 February 2026

Job Description

<p><strong>Who We Are </strong></p> <p>Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale—empowering a safer, richer, and more connected future.</p> <p><strong>About the Role<br></strong></p> <p>Nuro takes a machine-learning-first approach to autonomous driving technology. In an ML-first system, the overall system performance depends heavily on the quantity and diversity of its training and evaluation data. </p> <p>The team plays a crucial role in the advancement of autonomous driving systems by creating a scalable and reliable data infrastructure. This infrastructure is designed to produce training and evaluation data derived from both on-road collected logs and simulation logs. Additionally, the team collaborates closely with system engineers to thoroughly validate the autonomous driving system before its deployment.</p> <p><strong>About the Work</strong></p> <ul> <li>Design and develop unified, introspectable, large-scale batch and streaming data pipelines that can ingest and process data across a wide range of use cases relevant to evaluation.</li> <li>Create and implement a storage system capable of accommodating both the large volume and diverse range of evaluation and performance metrics.</li> <li>Construct intuitive dashboards and reports to present evaluation results, facilitating straightforward comparisons that highlight both improvements and regressions of the ML components and the overall system.</li> <li>Develop and maintain continuous testing and monitoring systems to guarantee the integrity and resilience of our data and associated data pipelines.</li> <li>Develop data mining tools with applied ML techniques to support data discovery needs from Autonomy including Perception, Behavior, and Mapping</li> <li>Develop data annotation tools to support first-party and third-party labeling workforce to provide high fidelity perception, mapping, and driving trajectory labels</li> <li>Scale data annotation labels with applied State-of-the-art ML techniques</li> </ul> <p><strong>About You<br></strong></p> <ul> <li>You have a degree in BS, MS.c or Ph.D, plus 4 years of relevant work experience</li> <li>Strong proficiency in Python or similar languages</li> <li><strong>Domain experience:</strong> Experience working with large-scale data and building scalable reliable systems/data pipelines; ability to understand and design complex systems</li> <li><strong>Engineering leadership:</strong> Experience setting team or project product and technical vision, timelines, and prioritization; being a Technical Lead, mentoring and support junior engineers</li> <li><strong>Technical excellence:</strong> Ability and willingness to deep dive into implementation, driving technical standards and best practices across broader software organization</li> <li>A bachelor's degree in Computer Science, Electrical Engineering, or a closely related field</li> </ul> <p><strong>Bonus Points</strong> <em><br></em></p> <ul> <li>Strong proficiency in C++ or other high-performance low-level languages</li> <li>Strong knowledge of GCP, GCS, BigQuery, or PostgreSQL</li> <li>Knowledge of data engineering, and its tooling and best practices</li> <li>Knowledge of batch and streaming data processing, warehousing, and analytics solutions</li> <li>Experience working with large-scale distributed data systems</li> <li>Experience with system framework design</li> <li>Experience with data workflow orchestration platforms</li> </ul> <p>At Nuro, your base pay is one part of your total compensation pa ... (truncated, view full listing at source)
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