Build tools/infrastructure for large-scale E2E autonomy research.
Collaborate with AI research/engineering to productionize self-driving software.
Scale end-to-end training by identifying bottlenecks in GPU compute and data.
Technologies: Python, Pytorch, CUDA, Bazel, Kubernetes, Spark, Flyte.

🎯 Requirements

Exceptional software generalist with ML stack, vehicle, and cloud experience.
Strong software/module design skills; tame chaos with libraries/abstractions.
Rapid analytical and problem-solving skills.
Strong multi-language build system knowledge.
Distributed systems/compute (k8s, cloud services at scale).
ML infra fluency; used and contributed to ML/large data systems.

🎁 Benefits

Base salary, equity, and benefits.
Health, dental, vision, life and disability insurance.
401k retirement benefits with employer match.
Learning and wellness stipends.
Paid time off.

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