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Sensor Sim - ML Engineer

Applied Intuition· Engineering
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Sunnyvale, CA$125k - $222kfull-timePosted 6mo ago

About the role

Software engineer 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 design3D geometry

Benefits

  • base salary
  • equity
  • health, dental, vision, life and disability insurance
  • 401k retirement benefits with employer match
  • learning and wellness stipends
  • paid time off
Last updated May 26, 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

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