Nuro · Mountain View, CA, United States
Join Nuro, a cutting-edge robotics company, as a Software Engineer focused on Performance Tooling and Infrastructure. In this role, you will own the infrastructure that validates real-time performance for autonomy code changes. You will develop and maintain the benchmarking infrastructure, ensure platform reliability and observability, design performance data pipelines, and drive platform and allocation strategy. This is a high-ownership, high-autonomy role where your work directly impacts the release velocity of the entire autonomy stack.
- Experience: ~1+ years of industry software engineering experience
- Systems & Infrastructure: Deep comfort with Linux systems — you've configured kernels, debugged boot issues, written systemd units, or managed bare-metal infrastructure. You understand networking, storage, and compute at a level beyond "it just works."
- Software Engineering: Strong proficiency in Python and working proficiency in C++. You write clean, testable, well-documented code and care about long-term maintainability
- Bias for Action: Comfortable operating in ambiguous, fast-moving environments where you need to balance long-term architecture with short-term delivery
- AI-Native: You treat AI as a core part of your engineering workflow, not an occasional shortcut — you use agentic tooling (e.g., Claude Code) across the development lifecycle and you understand the boundaries of when AI output demands extra scrutiny versus when it accelerates you
- Data Engineering: Experience building data pipelines, ingestion, transformation, storage, and visualization. Familiarity with SQL and analytical workflows
- Technical Leadership: Experience setting technical vision and roadmap for a project or platform, driving alignment across multiple stakeholders. You've independently identified the cross-functional partners needed to unblock and deliver, and you've briefed senior engineering leadership on trade-offs and recommendations
- Experience with performance engineering, especially around tooling integration (perf, Perfetto, pprof, eBPF, NVIDIA Nsight Systems, NVIDIA CUPTI)
- Experience in robotics or AV, particularly with NVIDIA DriveOS stack