Engineering Manager - Neural Simulation
Full Time
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Mountain View, CA
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Applied Intuition
About Applied Intuition Applied Intuition is a vehicle software supplier that accelerates the adoption of safe and intelligent machines worldwide. Founded in 2017, Applied Intuition delivers the AI-powered ADAS/AD toolchain, vehicle platform, and autonomy stack to help customers shorten time to market, build high-quality systems, 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 San Diego, CA, Ft. Walton Beach, FL, Ann Arbor and Detroit, MI, Washington, D.C., Stuttgart, Munich, Stockholm, Seoul, and Tokyo. Learn more at appliedintuition.com. Please note that we are an in-office company, which means the expectation is that you would come in to your Applied Intuition office 5 days a week.
About the role
We are looking for a Software Engineering Manager with strong computer vision foundations and experience in reconstruction techniques who is looking to productionize cutting-edge research into our new neural simulation product. You will develop a first-of-its-class simulation product that will enable the next generation of data-driven autonomous vehicles. Your work will also position Applied Intuition as the most advanced vehicle intelligence supplier to the largest OEMs in the world.
At Applied Intuition, you will:
Build, manage and mentor a team of world-class machine learning and software engineers
Develop a fast, scalable, and high fidelity neural simulator that will act as a playground to train and evaluate the next generation of data-driven autonomous vehicles
Work closely with customers to define requirements and implement solutions for our neural simulation product
Push the state of the art of multi-sensor 4D reconstruction, novel view synthesis and diffusion for dynamic scenes
We're looking for someone who has:
A Bachelor's degree in computer science, robotics, or related fields from a top institution
4+ years working in the machine learning field
2+ years of people management experience
Experience with modern neural simulation techniques e.g. Gaussian splatting, NeRFs, Dust3R, and Diffusion Programming experience in Python or C++
Nice to have:
Experience building software for technical end users
Peer-reviewed research at machine learning conferences like NeurIPS, CVPR, ICML, ICLR, ICCV/ECCV, IROS, ICRA
Experience using 4D reconstruction or diffusion in autonomous systems
Experience evaluating and reducing domain gap between synthetic and real data
Experience with classical reconstruction techniques e.g. VSLAM, SfM
A Master's degree or PhD in computer science, machine learning, robotics, or related fields
Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.
Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.
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: $204,000 - $343,000 USD annually.