Software Engineer - E2E Autonomy
Core
Building ML tools, infrastructure, and managing large datasets to enable end-to-end (E2E) autonomy research and productionize next-generation self-driving software.
Role type
Senior IC machine-learning infrastructure engineer (E2E autonomy)
Builds
Large-scale E2E autonomy research tools, infrastructure, and production self-driving software
Domain
Autonomous vehicles / Physical AI / Deep Learning
Deliverable
production ML models | infrastructure
Required skills
Software generalist experience, ML stack expertise, module design, analytical problem-solving
Preferred skills
Multi-language build systems, distributed systems/compute, ML infra fluency
Technologies
Python, PyTorch, CUDA, Bazel, Kubernetes, Spark, Flyte
Responsibilities
Build tools and infrastructure for large-scale E2E autonomy research, collaborate with AI research and engineering teams to productionize software, scale end-to-end training by identifying bottlenecks in GPU compute, onroad data volume, curation, and eval systems
Seniority
Senior, hands-on IC
