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Software Engineer (Low Speed Motion Planning & Control)
Applied Intuition · Sunnyvale, United States
About The Role
Join Applied Intuition as a Software Engineer specializing in Low Speed Motion Planning & Control. In this role, you will design and implement motion planning and control modules for autonomous vehicles, characterize vehicle dynamics, and evaluate academic research for optimal control solutions. You will have the opportunity to take ownership of technical and product decisions, interact closely with users and customers, and contribute to a dynamic team culture. Benefits include health insurance, a fitness stipend, 401(k) match, learning stipend, parental leave, and catered meals.
- Design and implement motion planning and controls modules for autonomous vehicles.
- Characterize the dynamics of customers’ vehicles to create tailored controls solutions.
- Evaluate and utilize academic research to create optimal-control-based solutions.
- Fluency in control theory, numerical optimization, numerical analysis, and physics
- Hands-on experience testing controls solutions on real, production-grade vehicles
- Experience writing high-performance C++ code
- Passion about tackling challenging motion planning or motion control problems
- 3+ years of experience building production software using modern software practices
- Enthusiasm for coming up with practical solutions to cutting-edge challenges in a fast-paced environment
- 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
- 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 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
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