Software Engineer (Low Speed Motion Planning & Control)
Posted Updated
- 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!
- 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
- Passion about tackling challenging motion planning or motion control problems
- Hands-on experience testing controls solutions on real, production-grade vehicles
- 3+ years of experience building production software using modern software practices
- Fluency in control theory, numerical optimization, numerical analysis, and physics
- Experience writing high-performance C++ code
- Enthusiasm for coming up with practical solutions to cutting-edge challenges in a fast-paced environment
- 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
- Experience using quadratic programming solvers or nonlinear optimization tools
- Experience working both with large industrial /commercial vehicles, as well as passenger cars
- Experience writing software that is compliant with guidelines for safety-critical C++ code, such as MISRA and AUTOSAR
- Experience applying machine learning techniques to vehicle dynamics modeling
- MSc or PhD in mechanical engineering or computer science with coursework or research experience in motion planning or controls