Software Engineer, Infrastructure

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

Job Description

<h2><strong>Who We Are </strong></h2> <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> <h2><strong>About the Role<br></strong></h2> <p>Nuro leverages many different bench-top systems to evaluate and regression test different aspects of the software and hardware integration layer. This performance simulation platform includes systems for creating simulated latency profiles on robot-native compute platforms, camera ISP tuning, and much more. In order to efficiently and effectively manage these systems, we’ve built and integrated infrastructure to support automated autonomy benchmarking workflows and data post processing. You will be responsible for development and integration of this hybrid cloud performance benchmarking cluster, which is a necessary cornerstone of testing for all autonomy feature development.</p> <p>Engineers use these systems to answer questions like:</p> <ul> <li>How will my new ML model affect contention on the GPU?</li> <li>How does this change affect our sensor-to-actuation E2E latency?</li> <li>How does this impact onboard logging rate as more data might be flowing from Perception to Behavior?</li> </ul> <p>Our team is growing and we’re looking for an engineer to help with development and technical roadmap.</p> <h2><strong>About the Work<br></strong></h2> <ul> <li>Build infrastructure and data pipelines to characterize the performance of the Nuro Driver.</li> <li>Build tooling to enable introspection into performance and system contention in the autonomy system.</li> <li>Work with stakeholders across HW Engineering, NPI, and Infrastructure to bring new system designs from a concept to fully operational service.</li> <li>Work with stakeholders on the Perception, Behavior, Performance, and other teams to build systems that improve E2E testing times for otherwise painful workflows.</li> <li>Work with the Data Science team to develop tooling and experimentation methodology for statistical understanding of performance results from non-deterministic workflows.</li> </ul> <h2><strong>About You</strong></h2> <ul> <li><strong>Experience: Have 3+ years of experience working in the software industry or related experience.</strong></li> <li><strong>Domain experience</strong>: Experience with common infrastructure and data engineering concepts, Linux systems, and writing software for/debugging prototype hardware.</li> <li><strong>Engineering leadership</strong>: Experience setting team or project product and technical vision, timelines and prioritization. Clear and concise communicator who collaborates effectively with PMs, engineers, and other stakeholders.</li> <li><strong>Technical excellence: </strong>Ability and willingness to deep dive into implementation, driving technical standards and best practices across broader software organization; strong proficiency in Python.</li> </ul> <h2><strong>Bonus Points:</strong><em><br></em></h2> <ul> <li>Experience with performance engineering, especially around tooling integration (perf, Perfetto, pprof, eBPF, NVIDIA Nsight Systems, NVIDIA CUPTI)</li> <li>Experience with on-prem infrastructure deployed on custom hardware</li> <li>Experience with integrating AI tools into data analysis pipelines</li> <li>Experience with NVIDIA DriveOS stack</li> <li>Experience in robotics or AV</li> <li>Experience with distributed systems</li> </ul> <p>At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably exp ... (truncated, view full listing at source)
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