Jobs · Engineering · California

Senior Software Engineer, Performance Tooling and Infrastructure

Nuro · Mountain View, CA · 1 wk ago
Engineering$183k–$275k/yrFull-time

About the role

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.

Responsibilities

  • Develop and maintain the job orchestration layer that schedules, executes, and validates autonomy performance benchmarks across a fleet of physical bench-top systems — integrated into CI/CD pipelines as merge-blocking and release-blocking quality gates.
  • Build monitoring, alerting, and self-healing automation for the bench fleet. Proactively identify systemic risks — capacity bottlenecks, hardware degradation patterns, infrastructure single points of failure — before they become outages.
  • Design and build end-to-end data pipelines that capture fine-grained performance metrics (CPU/GPU utilization, memory bandwidth, E2E latency, scheduling jitter) from bench-top runs, process them at scale, and surface actionable insights through dashboards and automated regression detection.
  • Work with Data Science to develop rigorous experimentation methodology for performance results from non-deterministic autonomy workloads — including variance analysis, significance testing, and regression detection.
  • Guide the SRE team through the OS and system-level configuration of bench hardware — including Linux kernel tuning, boot infrastructure, networking, and hardware bring-up — ensuring the platform faithfully reproduces production robot compute behavior.
  • Own the planning lifecycle for the benchmarking fleet across hardware generations. Partner with engineering and program leadership to negotiate hardware allocation, model utilization scenarios under real-world constraints, and present data-backed trade-off recommendations — balancing testing coverage, user throughput, cost, and SLA commitments against finite physical resources.
  • Partner with Hardware Engineering, NPI (New Product Introduction), SRE (Site Reliability Engineering), Perception, Behavior, and Data Science teams to translate their performance analysis needs into robust, self-service infrastructure.

Requirements

5+ years of industry software engineering experience. Software Engineering: Strong proficiency in Python and working proficiency in C++. You write clean, testable, well-documented code and care about long-term maintainability.

Data Engineering: Experience building data pipelines, ingestion, transformation, storage, and visualization. Familiarity with SQL and analytical workflows.

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."

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.

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.

Bias for Action: Comfortable operating in ambiguous, fast-moving environments where you need to balance long-term architecture with short-term delivery.

Skills

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.

Benefits

In the event that you are considered for a different level, a higher or lower pay range would apply.

Pay

Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills.

Schedule

This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

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