Sensor Sim - ML Engineer

Applied Intuition•Sunnyvale, CA

1d•Onsite

About The Position

We are looking for a software engineer to join our team working on the incorporation of modern machine learning approaches into production-grade sensor simulation. In this role you will work with our research team to apply state of the art approaches to model worlds and sensors such as Lidars, Radars and Cameras.

Requirements

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

Nice To Haves

Experience working with Generative World Models (Cosmos, UniSim, sora-style architectures)
Experience with robotics simulation products (IssacSim, MuJoCo, Omniverse, USD)
Experience with applying synthetic data to machine learning tasks
Hands on experience with characterization of models for Lidar, Radar, and Camera

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.