Sensor Sim - ML Engineer
AI summary of the role
Develop and deploy generative ML techniques into production sensor simulation for autonomous systems.
What you’ll do
- Drive research, development and deployment of generative ML into sensor simulator
- Work with rendering and physics teams on novel hybrid modeling approaches
- Focus on production-value projects with customer impact
What you’ll bring
- Bachelor's in CS or equivalent
- 5+ years building ML software for real-world challenges
- Hands-on with large generative model evaluation/optimization
- Hands-on agentic system design experience
Technologies
generative-models · lidar · radar · camera · 3d-geometry · optical-flow · video-generation · agentic-systems · cosmos · unisim
About Applied Intuition
Builds the toolchain, vehicle OS and autonomy stacks that automakers, defense and off-road OEMs use to ship AI-driven vehicles.
Series F
Source and classification
Internal deployment & tooling · Evidence for this classification:
our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. Meet our software engineers! Meet some of our software engineers who are shaping the future of autonomy and delivering world-class solutions helping customers shorten time to market. Hear about what brought them to Applied Intuition, what’s kept them interested, and their advice to potential candidates. About the role 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
More from the job description
About Applied Intuition Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co. We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. Meet our software engineers! Meet some of our software engineers who are shaping the future [... source excerpt omitted ...] ir advice to potential candidates. About the role 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. At Applied Intuition, you will: 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 prod [... source excerpt omitted ...] y offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position. Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $125,000 - $222,000 USD annually. 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. Yo
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