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NuroNuroMountain View, CA

Software Engineer, Performance Tooling and Infrastructure

Builds and maintains performance simulation platform with bench-top rigs, cloud orchestration, and data pipelines to validate autonomy code changes for real-time performance on robot hardware. Requires 3+ years experience in Python/C++, Linux systems, data engineering, with technical leadership.

152k – 228k
On-site3+ 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; identify capacity bottlenecks, hardware degradation, and single points of failure.
  • Design end-to-end data pipelines to capture 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, experimentation methodology, variance analysis, and significance testing for non-deterministic workloads.
  • Guide SRE on OS and system-level configuration of bench hardware, including Linux kernel tuning, boot infrastructure, networking, and hardware bring-up.
  • Own planning lifecycle for benchmarking fleet across hardware generations; negotiate allocation, model utilization scenarios, and present trade-off recommendations.
  • Partner with Hardware Engineering, NPI, SRE, Perception, Behavior, and Data Science teams for self-service infrastructure.

Requirements

  • 3+ years of industry software engineering experience.
  • Strong proficiency in Python and working proficiency in C++; write clean, testable, well-documented code.
  • Experience building data pipelines, ingestion, transformation, storage, and visualization; familiarity with SQL and analytical workflows.
  • Deep comfort with Linux systems: kernel configuration, boot debugging, systemd units, bare-metal infrastructure, networking, storage, compute.
  • Technical leadership: set vision/roadmap, drive stakeholder alignment, brief senior leadership on trade-offs.
  • Use AI as core workflow (e.g., agentic tooling like Claude Code).

Nice-to-Haves

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

Compensation

Base pay range: $152,000 - $228,000, depending on experience, qualifications, education, location, skills. Eligible for annual performance bonus, equity, competitive benefits.

Skills

PythonC++KubernetesGCPBigQueryGrafanaLinuxSQLEbpfNvidia Nsight Systems

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