Software Engineer - ML Framework

The role

You will build ML tools and infrastructure to enable large-scale end-to-end autonomy research. You will work with AI research and engineering teams to productionize self-driving software and scale end-to-end training.

What you will do

• Build tools and infrastructure to enable large-scale E2E autonomy research
• Work directly with AI research and engineering teams to productionize next generation self-driving software
• Help scale end-to-end training by identifying bottlenecks in GPU compute, onroad data volume, curation efforts, and eval systems

Required qualifications

• Exceptional software generalist experience
• Strong fundamental skills in software and module design
• Rapid analytical and problem-solving skills
• Bachelors, Masters or PhD degree in any field, or equivalent combination of education and work experience
• 3+ years of experience in any field, or equivalent combination of education and experience

Nice to have

• 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

Benefits

• Base salary
• Equity in the form of options and/or restricted stock units
• Comprehensive health, dental, vision, life and disability insurance coverage
• 401k retirement benefits with employer match
• Learning and wellness stipends
• Paid time off

About the company

Applied Intuition, Inc. is a Silicon Valley company creating digital infrastructure for physical AI. It services the automotive, defense, trucking, construction, mining and agriculture industries.