Software Engineer, Infrastructure
- How will my new ML model affect contention on the GPU?
- How does this change affect our sensor-to-actuation E2E latency?
- How does this impact onboard logging rate as more data might be flowing from Perception to Behavior?
- Build infrastructure and data pipelines to characterize the performance of the Nuro Driver.
- Build tooling to enable introspection into performance and system contention in the autonomy system.
- Work with stakeholders across HW Engineering, NPI, and Infrastructure to bring new system designs from a concept to fully operational service.
- Work with stakeholders on the Perception, Behavior, Performance, and other teams to build systems that improve E2E testing times for otherwise painful workflows.
- Work with the Data Science team to develop tooling and experimentation methodology for statistical understanding of performance results from non-deterministic workflows.
- Experience: Have 3+ years of experience working in the software industry or related experience.
- Domain experience: Experience with common infrastructure and data engineering concepts, Linux systems, and writing software for/debugging prototype hardware.
- Engineering leadership: Experience setting team or project product and technical vision, timelines and prioritization. Clear and concise communicator who collaborates effectively with PMs, engineers, and other stakeholders.
- Technical excellence: Ability and willingness to deep dive into implementation, driving technical standards and best practices across broader software organization; strong proficiency in Python.
- Experience 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 AV
- Experience with distributed systems
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