Planning and Controls Engineer
Our Planning & Controls engineers develop and implement core algorithms for making intelligent driving decisions in complex environments.
Responsibilities
- Develop motion planning algorithms for comfortable and safe trajectories for a self-driving vehicle
- Develop policies and plans to manage multi-actor interactions and plans under uncertainty
- Model vehicle and controller dynamics and use these models to characterize and accelerate controller improvements
- Develop and implement production-grade algorithms.
- Build learning approaches that adapt the above algorithms in the presence of data
Experience
- BS, MS, or PhD in Robotics, Computer Science or related field
- Strong C++ programming and software design skills
- Familiarity with modern planning approaches including randomized search methods and trajectory optimization and modern model predictive control and other advanced control techniques
- Knowledge of machine learning and the interplay between learning and decision making
- Experience in designing and building state of the art machine learning algorithms
- Experience with adaptive control, system identification, and statistical and machine learning methods
- Experience with embedded Linux and real-time systems
Scotty Labs offers a playground for technically curious people to creatively apply ideas invented in other domains to the automotive industry.
At Scotty Labs, we recognize the horizon of each person's value stretches out in all directions, and we will not simply focus on where you are now. This is true in all aspects of our company culture, but none more so than our dedication to employee autonomy and ownership of process. We maintain a diligently innovative environment and are committed to building a team of learners, hackers, and doers.
We strongly encourage you to apply if you have applicable experience that is not exactly in line with what we have described.
Scotty Labs is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.