Tesla

Internship role focused on developing and implementing end-to-end robotic learning for humanoid robots (Optimus), applying reinforcement or imitation learning to tasks like manipulation and locomotion. Involves training ML/DL models and seeing work deployed on robots.

Robotics Audio Integration Engineer at Tesla, focusing on integrating audio systems with hardware and AI stacks for robots. Responsibilities include designing, validating, and shipping acoustics solutions, driving impact by ensuring high-quality audio systems, validating key audio features that enhance AI perception and interaction, and safeguarding performance. The role involves root-causing manufacturing issues, creating automated audio testing procedures, and collaborating with cross-functional teams (AI, software, hardware, manufacturing) to deeply understand design, function, and quality metrics. The engineer will share responsibility for delivering innovative audio solutions that integrate seamlessly with AI algorithms and exceed customer expectations in human-robot interactions.

Software Engineer on the Autopilot QA team responsible for validating the stability and performance of Autopilot software, ensuring quality issues are detected early and resolved. The role involves defining quality metrics, analyzing automation outputs, and collaborating with engineers to improve test coverage and observability. It sits at the intersection of QA engineering, data analysis, and developer tooling, investigating failures in complex embedded systems and tracing regressions. The candidate should be detail-oriented, technically rigorous, and adept at catching problems before they reach the fleet.