About Applied Intuition
Applied Intuition is a Tier 1 vehicle software supplier that accelerates the adoption of safe and intelligent machines worldwide. Founded in 2017, Applied Intuition delivers the definitive ADAS/AD toolchain and a world-class vehicle platform to help customers shorten time to market, build industry-leading products, and create next-generation consumer experiences. 18 of the top 20 global automakers trust Applied Intuition’s solutions to drive the production of modern vehicles. Applied Intuition serves the automotive, trucking, construction, mining, agriculture, and defense industries and is headquartered in Mountain View, CA, with offices in Ann Arbor and Detroit, MI, Washington, D.C., Munich, Stockholm, Seoul, and Tokyo. Learn more at Applied Intuition .
About The Role
We are looking for an industry leader who will set the technical direction, execute with a team of machine learning and software engineers and scale a state of the art set of products focused on the development of ML systems. This team is focused on allowing ML developers across autonomy programs to develop performant autonomy models using simulation at scale. You will work directly with customers to solve real-world challenges with simulation, conduct and publish groundbreaking research, and apply the latest in machine learning and software design to our solution. You and your team will be the technical owners of a critical set of revenue generating products. This position is ideal for a leader with a strong background in ML development for autonomy.
At Applied Intuition, you will:
- 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 autonomySet 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 who has:
- 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
The salary range for this position is $204,000 - $343,000 USD annually. This salary range is an estimate, and the actual salary may vary based on the Company's compensation practices.
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. You may be just the right candidate for this or other roles.
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