About the role

We are looking for bright engineers interested in designing elegant solutions to difficult problems in the autonomy space. Your contributions will focus on building out capabilities of an autonomous vehicle stack, including necessary enablement work on the infrastructure- and vehicle-side. At Applied Intuition, we encourage engineers to take ownership over technical and product decisions, interact closely with users & customers to collect feedback, and contribute to a thoughtful, dynamic team culture.

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 we 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 is the place for you!

At Applied Intuition, you will:

• Design and implement motion planning and controls modules that can be deployed on various vehicle platforms, enabling them for highly accurate autonomous navigation in tight scenarios.

• Characterize the dynamics of our customers’ vehicles to create tailored controls solutions and to reduce the gap between simulation and real-world dynamics.

• Evaluate and utilize academic research to create optimal-control-based solutions using techniques like nonlinear MPC and MPPI control.

We're looking for someone who has:

• Passion about tackling challenging motion planning or motion control problems

• 3+ years of experience building production software using modern software practices.

• Hands-on experience testing controls solutions on real, production-grade vehicles.

• Fluency in control theory, numerical optimization, numerical analysis, and physics.

• Enthusiasm for coming up with practical solutions to cutting-edge challenges in a fast-paced environment.

• Experience writing high-performance C++ code.

Nice to have:

• MSc or PhD in mechanical engineering or computer science with coursework or research experience in motion planning or controls.

• Experience writing software that is compliant with guidelines for safety-critical C++ code, such as MISRA and AUTOSAR.

• Experience using quadratic programming solvers or nonlinear optimization tools.

• Experience applying machine learning techniques to vehicle dynamics modeling.

• Experience working both with large industrial /commercial vehicles, as well as passenger cars.

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: $125,000 - $232,000 USD annually.