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NuroNuroMountain View, CA

Senior Software Engineer, Performance Tooling and Infrastructure

Owns performance simulation platform infrastructure for validating autonomy code changes on robot hardware, including benchmarking orchestration, data pipelines, observability, and fleet management. Requires 5+ years experience in Python/C++, Linux systems, data engineering, with technical leadership.

183k – 275k/yr
On-site5+ YOEDevOps / SRE

About the role

Responsibilities

  • Develop and maintain job orchestration layer for scheduling, executing, and validating autonomy performance benchmarks across physical bench-top systems, integrated into CI/CD pipelines.
  • Build monitoring, alerting, and self-healing automation for the bench fleet; track utilization, failure rates, and capacity trends.
  • Design and build end-to-end data pipelines capturing performance metrics (CPU/GPU utilization, memory bandwidth, E2E latency, scheduling jitter) and surface insights via dashboards and regression detection.
  • Collaborate with Data Science on statistical analysis and experimentation for non-deterministic workloads.
  • Guide SRE on OS and system-level configuration of bench hardware (Linux kernel tuning, boot infrastructure, networking).
  • Own planning lifecycle for benchmarking fleet, negotiate hardware allocation, and present trade-off recommendations.
  • Partner with Hardware Engineering, NPI, SRE, Perception, Behavior, and Data Science teams.

Requirements

  • 5+ years of industry software engineering experience.
  • Strong proficiency in Python and working proficiency in C++.
  • Experience building data pipelines, ingestion, transformation, storage, and visualization; familiarity with SQL.
  • Deep knowledge of Linux systems (kernel configuration, boot issues, systemd, bare-metal infrastructure, networking, storage).
  • Technical leadership: setting vision, roadmap, driving stakeholder alignment, briefing leadership.
  • AI-native workflow using agentic tooling.
  • Bias for action in ambiguous environments.

Nice-to-Haves

  • Performance engineering tools: perf, Perfetto, pprof, eBPF, NVIDIA Nsight Systems, NVIDIA CUPTI.
  • Experience in robotics or AV, especially NVIDIA DriveOS.

Compensation

  • Base pay: $183,000 - $275,000 (depending on experience, qualifications, education, location, skills).
  • Eligible for annual performance bonus, equity, and competitive benefits.

Skills

PythonC++KubernetesGCPBigQueryGrafanaLinuxSQLEbpfNvidia Nsight Systems

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