Software Engineer - Planning

About the role

We are looking for a software engineer with expertise in motion planning for autonomous vehicles or mobile robots. Among your responsibilities will be the development of planning modules that can provide traversable, kinematically-feasible trajectories for a vehicle to follow in various onroad autonomy use cases. The modules you develop must be high performance and state-of-the-art due to critical timing constraints and the need to generalize in diverse ODDs (operational design domains). 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 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: Develop state-of-the-art onroad behavior software and leverage ML components to achieve highway and city driving Design and implement planning modules that can be deployed on onroad vehicles for autonomous navigation Leverage lightweight map data (SD maps) and the outputs of a perception system to determine driving costs to use for planning Deploy your planning modules to production hardware and test on the road Collaborate with customers' engineers and manage customer relationships We're looking for someone who has: Bachelor's in Computer Science, Electrical Engineering, Robotics, or related field 3+ years of experience building production software using modern software practices Experience developing planning solutions for autonomous vehicles or other mobile robots Fluency in writing modern, high-performance C++ code Experience shipping code for robotics or autonomous vehicles A passion for tackling challenging planning problems involving a wide array of vehicles Enthusiasm for coming up with practical solutions to cutting-edge challenges in a fast-paced environment, and building towards an end-to-end strategy

Requirements

• A MSc or PhD in computer science or applied mathematics with coursework or research experience in planning
• Experience writing safety-critical C++ software
• Hands-on experience developing and testing planning algorithms on an autonomous vehicle
• 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 - $245 ,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 descript

Benefits

Additional Information

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.

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