Applied Intuition
Sensor Sim - ML Engineer
$175K–$275K
Sunnyvale · On-site · Full-time · Posted Mar 28, 2026
- Experience
- 5+ years building software components or (sub)systems that address real-world machine learning challenges.
- Education
- Bachelor's degree in Computer Science, Software Engineering, or equivalent.
About the job
Develop and deploy machine learning methods in production-grade sensor simulation for autonomous systems.
What you'll do
- Drive research, development, and deployment of generative and other machine learning techniques in the sensor simulator.
- Collaborate with rendering and physics-based modeling teams to combine approaches.
- Focus on projects with production value and customer impact.
What they ask for
- Bachelor's degree in Computer Science, Software Engineering, or equivalent.
- 5+ years building software components or subsystems for real-world machine learning challenges.
- Hands-on experience evaluating and optimizing large generative models and designing agentic systems.
- Deep understanding of machine learning foundations; understanding of 3D geometry, optical flow, or video generation.
Nice to have
- Experience with Generative World Models (Cosmos, UniSim, sora-style architectures).
- Experience with robotics simulation products (IssacSim, MuJoCo, Omniverse, USD), synthetic data, or characterization of Lidar, Radar, and Camera models.
Pay
$175K – $275K (USD, base salary)
Tools
Cosmos, UniSim, sora-style architectures, IssacSim, MuJoCo, Omniverse, USD
AI focus
Apply generative and other machine learning techniques to model worlds and sensors, including Lidars, Radars, and Cameras, in production-grade sensor simulation.
Model-written summary · the original posting is authoritative