ML Perception - Technical Lead @ Applied Intuition

About Applied Intuition Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017, Applied Intuition delivers the toolchain, Vehicle OS, and autonomy stacks to help customers build intelligent vehicles and shorten time to market. Eighteen of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition's solutions to deliver vehicle intelligence. Applied Intuition services the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in Washington, D.C., San Diego, CA, Ft. Walton Beach, FL, Ann Arbor, MI, London, Stuttgart, Munich, Stockholm, Seoul, and Tokyo. Learn more at appliedintuition.com. 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. (Note: For EpiSci job openings, fully remote work will be considered by exception.)About the role We are looking for a lead software engineer with expertise in ML-first perception for autonomous vehicles or mobile robots. You will be a technical lead guiding the engineering team in building out key ML capabilities of our autonomous vehicle stack for commercial trucking. You and your team will develop across all sensor modalities: camera, lidar, and radar with a strong focus on long-range object detection and tracking. At Applied Intuition, you will: Lead the design and development of advanced deep learning models for perception, with a goal of integrating perception into a fully end-to-end autonomy stack Collaborate closely with Planning, Prediction, and Simulation teams to define closed-loop…

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