ML Engineer (Sensor Simulation)
Posted Updated
- 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
- 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
- Hands-on experience with evaluation and optimization for large generative models
- Hands-on experience with agentic system design
- A passion for turning their domain expertise into tooling that boosts the productivity of teams working on various real-world applications of autonomous systems
- A Bachelor’s degree in Computer Science, Software Engineering, or equivalent
- Deep understanding of machine learning foundations who can apply various techniques to new problems
- Understanding of 3D geometry, optical flow or video generation
- 5+ years of experience building software components or (sub) systems that address real-world machine learning challenges
- Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles
- Experience with applying synthetic data to machine learning tasks
- Experience working with Generative World Models (Cosmos, UniSim, sora-style architectures)
- Experience with robotics simulation products (IssacSim, MuJoCo, Omniverse, USD)
- Hands on experience with characterization of models for Lidar, Radar, and Camera