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 an 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 Ann Arbor and Detroit, MI, Washington, D.C., Stuttgart, Munich, Stockholm, Seoul, and Tokyo.

We are looking for a passionate Research Engineer to help build the AI Research Team at Applied Intuition. This team conducts world-class research for autonomous systems and closed-loop simulation to influence our autonomy stacks from prototype to mass production. You will have access to millions of miles of large-scale driving data and a diverse set of sensors to develop industry-leading models at scale. 

In addition to your research, you will contribute to and learn from best practices in the autonomy industry within our fast-paced and customer-focused culture. Improvements deployed to our system immediately help our customers with their autonomy programs and deliver value to our business.

At Applied Intuition, you will:

• Collaborate with our ADAS stack engineering team to test and deploy end-to-end algorithms for mass production vehicles

• Collaborate with our simulation team to deploy data-driven generation algorithms for highly efficient and automated tools

• Conduct research on architecture design, robustness, safety, and language modality incorporation for our differentiable stack

• Work closely with Research Scientists and interns on high-quality research publications to submit to top-tier conferences

We’re looking for someone who has:

• Experience with end-to-end autonomy, multi-view perception, 3D reconstruction, diffusion model for sensory generation, and/or closed-loop behavior generation

• A passion for scalable, data-driven autonomy for real-world systems

• Strong research skills and the ability to work both independently and collaboratively on projects

Nice to have:

• MSc or PhD in machine learning and computer vision with autonomy and robotics applications or closely related field

• Hands-on experience of imitation/reinforcement learning, behavior prediction, and closed-loop simulation

• Experience with training with large-scale data and ML models and/or applying language modality in AV stacks

• Passion for building and shipping customer-focused software frameworks or tools

Autonomy is one of the leading technological advances of this century that will come to impact our lives. The work you’ll do at Applied will meaningfully accelerate the efforts of the top autonomy teams in the world. At Applied, you will have a unique perspective on the development of cutting edge technology while working with major players across the industry and the globe.

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.