Tesla
Software Engineer, Frontend, AI Tooling
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Job Description
What to Expect
As a member of the Autopilot AI Tooling team, you will design and implement a powerful, diverse set of tools that fuel our machine learning workflows and propel Robotaxi and Optimus forward. You’ll work side-by-side with some of the world’s best AI researchers and machine learning experts, driving Tesla’s mission toward a fully self-driving future.
The systems you build will have a direct, high-impact effect on our fleet’s ability to sense, perceive, and understand the world around it. Our tools automate the entire end-to-end workflows of training, validation, and production of Autopilot neural networks and Optimus — accelerating progress at a massive scale.
As an Engineer on the AI Tooling team, you’ll bring elite software engineering skills to make an immediate contribution to our critical tooling systems. Knowledge of machine learning, computer vision, or neural networks is a plus but not required. Strong candidates are either outstanding software generalists or exceptionally strong specialists in back-end or front-end engineering.
What You'll Do
* Design and implement web-based tools for data visualization and data labeling * Work on our remote tele-op tool (live streaming video, audio and remotely controlling Robotaxis) * Work on visualizations of Autopilot clips (camera streams, vehicle signals, Autopilot predictions) * Work on our data annotation tools (segmentation, 3d spatial labelling, Digital Optimus) * Work on our management tools for our engineering fleet vehicles and test drivers * Work closely with data analysts to understand UX challenges and suggest improvements * Work closely with backend engineers to seamlessly integrate with frontend systems * Work closely with AI researchers to build efficient and intuitive UI that accelerate their workflows
What You'll Bring
* Degree in Computer Science, Computer Engineering, or equivalent experience and evidence of exceptional ability * Strong understandin
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