Autonomy Solutions Architect

4 days ago


Mountain View, California, United States Applied Intuition Full time

About Applied Intuition

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Applied Intuition is a leading provider of vehicle software solutions, accelerating the adoption of safe and intelligent machines worldwide. Our AI-powered toolchain, vehicle platform, and autonomy stack enable customers to shorten time-to-market, build high-quality systems, and create next-generation consumer experiences. With 18 of the top 20 global automakers trusting our solutions, we serve the automotive, trucking, construction, mining, agriculture, and defense industries.


We're headquartered in Mountain View, CA, with offices in Ann Arbor and Detroit, MI, Washington, D.C., Stuttgart, Munich, Stockholm, Seoul, and Tokyo. Learn more at appliedintuition.com.


About the Role

We're seeking an industry leader to set the technical direction, execute with a team of machine learning and software engineers, and scale state-of-the-art products focused on ML system development. This team enables ML developers across autonomy programs to develop performant autonomy models using simulation at scale. You'll work directly with customers, conduct and publish groundbreaking research, and apply the latest in machine learning and software design to our solution.


  • Build a category-leading set of data products

  • Manage a team of talented software engineers working together to solve real-world data and machine learning challenges in autonomy

  • Set the technical direction of the team and ensure your team delivers high-quality software

  • Work directly with top autonomy programs on problems in applied machine learning


We're looking for someone with:

  • A MSc or PhD degree in computer science, robotics or related fields from a top institution

  • 4+ years industry experience in software engineering using C++ or Python

  • 2+ years experience in leading teams with varied backgrounds

  • Demonstrated experience leading teams in developing cutting-edge software products in the autonomy space

  • Proven track record of picking the right technologies to invest in, and seeing complex projects through to the finish line

  • Experience with training ML models and strong ML fundamentals


Nice to have:

  • Strong knowledge of common sensor modalities (radar, lidar and cameras) and perception tasks in autonomy

  • Experience building scalable systems in the cloud


Compensation

For this full-time position, the estimated annual salary range is $204,000 - $343,000 USD.



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