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Software Engineer - ML Framework

Applied Intuition· Self-Driving Systems
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Sunnyvale$153k - $222kFull-timePosted 3mo ago

About the role

Role focused on building ML tools and infrastructure to enable large-scale end-to-end (E2E) autonomy research and productionize self-driving software, working across AI research and engineering teams.

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 GPU compute, onroad data volume, curation efforts, and eval systems

Qualifications

  • 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
  • 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

Skills

Required:PythonPyTorchCUDA
Nice to have:BazelKubernetesSparkFlyte

Benefits

  • base salary, equity, and benefits including health, dental, vision, life and disability insurance, 401k with employer match, learning and wellness stipends, and paid time off
Last updated Oct 25, 2026. Interested? Apply on the company site.

About Applied Intuition

Building vehicle intelligence | Applied Intuition

Applied Intuition is the vehicle intelligence company with the tools, Vehicle OS, and autonomy stacks for creating safe, AI-powered vehicle experiences.

AIAutonomy stacksSelf-Driving SystemSimulationTesting & ValidationVehicle IntelligenceVehicle OSai-infrastructure-and-development
Company profileWebsite

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