Job Description
Develop and integrate infrastructure and data pipelines to evaluate and improve the performance of autonomous driving systems, supporting testing, benchmarking, and system analysis for self-driving technology at Nuro.
Key Responsibilities
- Develop and integrate infrastructure for performance benchmarking of the autonomous driving system
- Build data pipelines and tooling to analyze system performance and contention
- Collaborate with hardware, software, and data teams to deploy and optimize new system designs
- Improve end-to-end testing workflows and reduce testing times
- Work with data science team to develop tools and methodologies for performance analysis
Requirements
- Have 5 years of experience working in the software industry or related experience.
- Experience with common infrastructure and data engineering concepts, Linux systems, and writing software for debugging prototype hardware.
- Ability and willingness to deep dive into implementation, driving technical standards and best practices across broader software organization.
- Strong proficiency in Python.
- Experience working with performance engineering, especially around tooling integration perf, Perfetto, pprof, eBPF, NVIDIA Nsight Systems, NVIDIA CUPTI.
- Experience with on-prem infrastructure deployed on custom hardware.
- Experience with integrating AI tools into data analysis pipelines.
- Experience with NVIDIA DriveOS stack.
- Experience in robotics or autonomous vehicles (AV).
- Experience with distributed systems.
Benefits & Perks
Compensation/salary range: $183,000 to $275,000 base pay, plus annual performance bonus, equity, and a competitive benefits package
Work schedule: Not specified
Work environment perks: Inclusive and diverse workplace fostering psychological safety, equal opportunity employment
Additional benefits: Equity, performance bonuses, and a comprehensive benefits package
Ready to Apply?
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