Software Engineer - E2E Autonomy

Job description

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.;

Job 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
Technologies: Python, Pytorch, CUDA, Bazel, Kubernetes, Spark, Flyte

Job 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

Apply on Applied Intuition website Save

Software Engineer - E2E Autonomy

Job description

Job responsibilities

Job requirements

Similar jobs