1 день назад
Software Engineer, Performance Tooling and Infrastructure (Autonomous Driving)
152 000 - 228 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Software Engineer, Performance Tooling and Infrastructure (Autonomous Driving): Building a hybrid performance benchmarking platform for autonomous-driving software using physical robot-compute systems, cloud-native orchestration, data pipelines, and observability tooling with an accent on real-time validation, infrastructure reliability, and performance analytics. Focus on designing benchmark orchestration and CI/CD quality gates, analyzing CPU/GPU and system metrics, tuning bare-metal Linux platforms, and scaling hardware allocation across generations.
Location: Mountain View, California, United States
Salary: $152,000–$228,000 base pay annually, plus annual performance bonus, equity, and benefits.
Company
develops Level 4 autonomous driving technology and a universal autonomy platform for robotaxis, logistics fleets, and other vehicles.
What you will do
- Develop and maintain job orchestration for performance benchmarks across physical bench-top robot-compute systems.
- Integrate benchmarking into CI/CD as merge-blocking and release-blocking quality gates.
- Build monitoring, alerting, self-healing automation, and observability for the hardware fleet.
- Design performance data pipelines covering CPU/GPU utilization, memory bandwidth, latency, and scheduling jitter, with dashboards and regression detection.
- Guide bare-metal OS and system configuration, including Linux kernel tuning, boot infrastructure, networking, and hardware bring-up.
- Set the platform roadmap, make architecture decisions, plan hardware allocation, and collaborate with Hardware Engineering, NPI, SRE, Perception, Behavior, and Data Science.
Requirements
- 3+ years of industry software engineering experience.
- Strong Python and working C++ proficiency, with a focus on clean, testable, and maintainable code.
- Experience building data pipelines for ingestion, transformation, storage, visualization, and analytical workflows; familiarity with SQL.
- Deep Linux systems and bare-metal infrastructure experience, including kernels, boot issues, systemd, networking, storage, and compute.
- Experience setting technical vision and roadmaps, aligning stakeholders, and presenting trade-offs to senior engineering leadership.
- Comfort using AI-native development tools and working effectively in ambiguous, fast-moving environments.
Nice to have
- Performance tooling experience with perf, Perfetto, pprof, eBPF, NVIDIA Nsight Systems, or NVIDIA CUPTI.
- Robotics or autonomous-vehicle experience, especially with the NVIDIA DriveOS stack.
Culture & Benefits
- High-ownership and high-autonomy role on a small team.
- Work directly affects release velocity across the autonomy stack.
- Annual performance bonus, equity, and competitive benefits package.
- Commitment to an inclusive workplace and psychological safety.
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