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ML Perception Software Engineer

Applied Intuition· Self-Driving Systems
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Sunnyvale$180k - $250kFull-timePosted 3mo ago

About the role

Software engineer focused on perception for autonomous vehicles or mobile robots, building perception modules and 4D world representations, with emphasis on computer vision and machine learning techniques to enable self-driving navigation.

Responsibilities

  • Train, modify, and create beyond-SOTA algorithms for constructing powerful world representations that can be used for perception, world modeling, and ML driven autonomy
  • Test and evaluate your algorithms on real vehicles, owning large portions of the autonomy stack and ensuring that they provide real improvements to the driving abilities
  • Work closely with our data, behavior, and research teams to develop the most advanced autonomy software for all domains to deploy to production for our customers

Qualifications

  • 3+ years of experience building software components or (sub) systems that address real-world perception challenges
  • Bachelor’s in Computer Science, Electrical Engineering, Robotics, or related field
  • Strong proficiency in C++ and Python
  • Experience building machine learning models from data collection to production and deployment
  • Deep understanding of the concepts and methods behind any frameworks or libraries that they worked with
  • Interest in keeping up to date in their field, identifying trends and figuring out which new ideas are promising and which are risky

Skills

Required:C++PythonMachine learning

Benefits

  • Base salary, equity, and benefits including health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off
Last updated Oct 11, 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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