Software Engineer - E2E Autonomy

Responsibilities

• Build tools and infrastructure to enable large-scale end-to-end autonomy research
• Collaborate with AI research and engineering teams to productionize next-generation self-driving software
• Identify and resolve bottlenecks to scale end-to-end training across GPU compute, onroad data, curation, and evaluation systems

Requirements

• Exceptional software generalist experience with ambition to contribute across the ML stack, onboard the vehicle, and in the cloud
• Strong fundamentals in software and module design
• Rapid analytical and problem-solving skills

Preferred Qualifications

• Strong multi-language build system knowledge
• Experience with distributed systems and compute at scale (e.g., Kubernetes, cloud-managed services)
• ML infrastructure fluency, including usage or contributions to ML and large data systems

Benefits

• Base salary, equity, and comprehensive health, dental, vision, life, and disability insurance
• 401k retirement benefits with employer match
• Learning and wellness stipends and paid time off

About the Company

Applied Intuition powers the future of physical AI. Founded in 2017 and valued at $15 billion, the company builds digital infrastructure to bring intelligence to every moving machine, serving automotive, defense, trucking, construction, mining, and agriculture industries from its headquarters in Sunnyvale, California, and offices worldwide.