Software Engineer - E2E Autonomy

Applied Intuition•Sunnyvale, CA

47d•$153,000 - $222,000•Onsite

About The Position

Applied Intuition is pushing the frontier of autonomy and vehicle intelligence through next-generation AI Research. In this role, you will enable this research effort by building ML tools, infrastructure, managing large datasets, and addressing challenges across the entire end-to-end (E2E) autonomy stack. Join our research and production teams in creating the next generation of self-driving vehicles. Here at Applied, we encourage all engineers to take ownership over technical and product decisions, closely interact with external and internal users to collect feedback, and contribute to a thoughtful, dynamic team culture.

Requirements

Exceptional software generalist experience with ambition to contribute up and down the ML stack, onboard the vehicle, and in the cloud
Strong fundamental skills in software & module design: can tame chaos with libraries & abstractions
Rapid analytical and problem-solving skills

Nice To Haves

Strong multi-language build system knowledge
Distributed systems/compute (e.g. k8s, cloud-managed services at scale)
ML infra fluency - has used and/or contributed to ML and large data systems

Responsibilities

Build tools and infrastructure to enable large-scale E2E autonomy research led by Dr. Wei Zhan
Work directly with both AI research and engineering teams to productionize next generation self-driving software
Help scale end-to-end training by identifying bottlenecks, especially as we continue to scale our GPU compute, onroad data volume, curation efforts, and eval systems