Software Engineer – End-to-End Autonomy

About the role

Applied Intuition is building the digital infrastructure for physical AI and self‑driving vehicles. As a Software Engineer on the End‑to‑End (E2E) Autonomy team you will enable cutting‑edge research by creating machine‑learning tools, managing large datasets, and solving challenges across the full autonomy stack.

Key responsibilities

• Design and implement tools and infrastructure that support large‑scale E2E autonomy research led by Dr. Wei Zhan.
• Collaborate with AI research and engineering teams to productionize next‑generation self‑driving software.
• Identify and remove bottlenecks in end‑to‑end training pipelines, GPU compute scaling, data curation, and evaluation systems.

Required profile

• Strong generalist software engineering experience with the ability to contribute across the ML stack, vehicle integration, and cloud environments.
• Fundamental skills in software and module design, capable of building reusable libraries and abstractions.
• Rapid analytical and problem‑solving abilities.

Required skills

• Python
• PyTorch
• CUDA
• Bazel
• Kubernetes
• Spark
• Flyte

What we offer

• On‑site work in Sunnyvale with flexibility for occasional remote days.
• Opportunity to work at the frontier of autonomy and AI research.
• Collaborative culture that encourages ownership of technical decisions.