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Software Engineer, Performance Tooling and Infrastructure

Nuro· Fleet Infrastructure
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Mountain View, CA$152k - $228kfull-timePosted 6mo ago

About the role

Performance tooling and infrastructure engineer responsible for the hybrid benchmarking platform (physical bench-top rigs and cloud-native orchestration) used to validate real-time performance of autonomous driving software across hardware generations, with ownership from OS/kernel level to data analysis and visualization.

Responsibilities

  • Benchmarking Infrastructure: 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.
  • Platform Reliability & Observability: 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. Track utilization, failure rates, and capacity trends to ensure the platform scales ahead of organizational demand.
  • Performance Data Pipelines: 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.
  • Statistical Analysis & Experimentation: 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.
  • Bare-Metal & OS Platform: 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.
  • Drive Platform & Allocation Strategy: 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.
  • Cross-Functional Collaboration: Partner with Hardware Engineering, NPI, SRE, Perception, Behavior, and Data Science teams to translate their performance analysis needs into robust, self-service infrastructure.

Qualifications

  • 3+ years of industry software engineering experience.
  • Strong proficiency in Python and working proficiency in C++. Clean, testable, well-documented code and emphasis on maintainability.
  • Experience building data pipelines, ingestion, transformation, storage, and visualization. Familiarity with SQL and analytical workflows.
  • Deep comfort with Linux systems — kernel tuning, boot issues, systemd, bare-metal infrastructure. Understanding of networking, storage, and compute at a deep level.
  • Technical Leadership: experience setting technical vision and roadmap for a project or platform, driving alignment across stakeholders, briefing senior leadership on trade-offs.
  • AI-native mindset: using AI tools effectively across the development lifecycle with awareness of when to scrutinize AI outputs.
  • Bias for Action: comfort operating in ambiguous, fast-moving environments.

Skills

Required:PythonC++Data pipelinesSQLLinux systems & OSSystem architecture & roadmap

Benefits

  • Annual performance bonus
  • Equity
  • Competitive benefits package
Last updated Jul 8, 2026. Interested? Apply on the company site.
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About Nuro

Autonomy for all. All roads, all rides.

Driving the future of autonomy with the most scalable AI driver.

AutonomyAI driverDelivery robotsRobotaxiAutonomous vehicles
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