Sensor Sim - ML Engineer
Applied Intuition · Sunnyvale
Roboticsonsitesenior$175k–$275k
At a glance
Highlights
- Drive generative ML research into production-grade sensor simulation.
- Model worlds and sensors such as lidar, radar and cameras.
- Deliver simulation projects with clear path to customer impact.
What they offer
- Equity in the form of options and/or RSUs
- Health, dental, vision, life and disability insurance
- 401k retirement benefits with employer match
- Learning and wellness stipends
- Paid time off
Ideal candidate
An experienced ML engineer passionate about turning cutting-edge research into production-grade tools for autonomy. You thrive at the intersection of ML, rendering and physics to deliver real-world customer impact.
Requirements
- Bachelor's degree in Computer Science, Software Engineering, or equivalent
- 5+ years building software components or systems for real-world ML challenges
- Passion for turning domain expertise into tooling for autonomous systems teams
- Hands-on experience evaluating and optimizing large generative models
- Hands-on experience with agentic system design
- Deep ML foundations with ability to apply techniques to new problems
- Understanding of 3D geometry, optical flow or video generation
- remote policy
- In-office 5 days a week with occasional remote flexibility
Lab profile
About Applied Intuition
Builds simulation, vehicle OS, and autonomy infrastructure for automotive, defense, and heavy industries.
What they build
- Autonomy software stacks
- Vehicle operating systems
- Simulation and validation tooling
Known for
- Trusted by 18 of top 20 global automakers
- Expertise across automotive, defense, trucking, mining and agriculture
- Full-stack coverage from tooling to OS to autonomy
Key facts
- Founded in 2017
- Headquartered in Silicon Valley
- Valued at $15 billion
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