About the role
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.
About
the role We are looking for a software engineer with expertise in ML-first behavior prediction and planning. You will develop ML-first behavior modules that can forecast the future motions of road users and predict their interactions. You will work closely with the perception team on areas such as training data generation, and with the planning team on ML-based planner development. In addition to your engineering contributions, by working in our dynamic and customer-focused team culture, you will contribute to and learn from best practices in the nascent autonomy industry. We move fast and we focus on excellence, for our products and for our business. If you are hands-on and looking for a place to have a multiplying effect on making autonomous systems a reality, Applied Intuition is the place for you! At Applied Intuition, you will: Prototype, evaluate, refine, and deploy state-of-the-art ML algorithms that predict the future motion of the ego agent and other road users in the scene Leverage established products at Applied Intuition to build the software and infra foundation for behavior-specific ML development Collaborate tightly with perception and planning engineers on many cross-team initiatives We’re looking for someone who has: Bachelor’s in Computer Science, Electrical Engineering, Robotics, or related field Experience with the end-to-end development cycle of deep learning models Expertise in subdomains such as modeling, input pipelines, evaluation, deployment, and model optimization 3+ years of experience building production software using modern software practices Fluency in C++, or fluency in Python with intermediate experience in C++