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Sensor Sim - ML Engineer

Applied Intuition· Dana for Physical AI
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Sunnyvale$175k - $275kFull-timePosted 3mo ago

About the role

Role focused on incorporating modern machine learning approaches into production-grade sensor simulation, collaborating with research, rendering, and physics-based modeling teams to model worlds and sensors (Lidars, Radars, Cameras).

Responsibilities

  • Drive research, development and deployment of generative and other machine learning techniques into our sensor simulator.
  • Work closely with rendering and physics-based modeling teams to build novel approaches fusing the best of all techniques.
  • Focus on projects with a clear path to production value and customer impact.

Qualifications

  • A Bachelor's degree in Computer Science, Software Engineering, or equivalent
  • 5+ years of experience building software components or (sub) systems that address real-world machine learning challenges
  • A passion for turning their domain expertise into tooling that boosts the productivity of teams working on various real-world applications of autonomous systems
  • Hands-on experience with evaluation and optimization for large generative models
  • Hands-on experience with agentic system design
  • Deep understanding of machine learning foundations who can apply various techniques to new problems
  • Understanding of 3D geometry, optical flow or video generation

Skills

Required:Generative modelingAgentic system design

Benefits

  • Base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include 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, 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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