Sensor Sim - ML Engineer

Applied Industrial Technologies
Sunnyvale
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: bachelorsSkills: []

Software engineer role focusing on incorporating modern machine learning into production-grade sensor simulation, collaborating with research and rendering/physics teams to model worlds and sensors (Lidars, Radars, Cameras) for autonomous systems, with a path to production value and customer impact.

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Applied Industrial Technologies
Applied Industrial Technologies
5 months ago

Sensor Sim - ML Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Software engineer role focusing on incorporating modern machine learning into production-grade sensor simulation, collaborating with research and rendering/physics teams to model worlds and sensors (Lidars, Radars, Cameras) for autonomous systems, with a path to production value and customer impact.
Location: Sunnyvale
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key 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
  • •Collaborate with research teams to apply state-of-the-art ML approaches to model worlds and sensors such as Lidars, Radars and Cameras
  • •Contribute to production-grade sensor simulation that boosts team productivity and real-world applications

Pay and Benefits

Perks:Health InsuranceDentalVision401kEquityLearning Budget

Key Requirements

  • •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
  • •Hands-on experience with evaluation and optimization for large generative models
  • •Hands-on experience with agentic system design
  • •Deep understanding of machine learning foundations and ability to apply various techniques to new problems
Experience:5+ yearsAutonomyRoboticsSimulation
Education:Bachelor's

Company Brief

Applied Industrial Technologies
Builds software tools for autonomous vehicle development, including simulation, validation, and data infrastructure for automakers and robotics teams. Also supports defense applications with autonomy-focused testing and deployment platforms.
Industry: Developer Tools
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Headquarters: Mountain View, United States
Founded: 2017
WebsiteLinkedIn