What to Expect
Tesla’s Robotics Software Engineering team is responsible for the design and development of robotic controls and fleet management systems for Tesla’s manufacturing, material flow and logistic use cases. This includes the management of AMRs (Autonomous Mobile Robots), ASRSs (Automated Storage and Retrieval Systems), and conveyor systems.
We are seeking a Software Engineer to take ownership of new features and improvements for the onboard robot controller and server-side fleet management systems, as well as address sustaining engineering needs. The team has a presence in Palo Alto, CA, and Austin, TX, with frequent travel to Tesla factories worldwide.
What You’ll Do
- Responsible for developing, maintaining, and improving algorithms and models associated with perception, navigation, safety, and fleet management of autonomous mobile robots
- Path planning: Vehicle kinematics and Motion Controls; Model predictive control and dynamics-based trajectory optimization
- Perception: State estimation, Mapping & Localization using SLAM; Obstacle detection and avoidance; Precision Docking; Object tracking
- Contribute to and take ownership of the end-to-end design and implementation of features from early prototype to production release
- Collaborate with cross-functional teams to gather feedback and identify areas for improvement, planning them within the engineering design cycle iterations
- Support ongoing projects in production by identifying, debugging, and resolving issues to ensure service uptime
What You’ll Bring
- Bachelor’s Degree in Computer Science, Software Engineering or a related field, or equivalent industry experience
- Proven experience in robotics controls systems, particularly with algorithms related to state estimation, perception, localization, navigation, and path planning for autonomous mobile robots
- Experience developing and debugging real-time, multithreaded software systems using C/C++ on Linux based platforms (Familiarity with RTPreempt and Linux kernel configuration is a plus)
- Familiarity with sensor technologies such as LIDAR, IMU, cameras, depth sensors, and their integration in robotics applications
- Familiarity with functional safety standards is a plus
- Ability to adapt to fast-paced, iterative development cycles in a dynamic environment, using standard CI tools like Git while following rigorous documentation and testing standards
- Excellent problem-solving skills and ability to work on complex technical challenges
- Effective communication skills for collaborating with cross-functional teams
- Self-motivated and proactive in learning new concepts and technologies