Tesla is seeking engineers to develop humanoid robots, focusing on building vision and multimodal foundation models for Optimus. The role involves designing data pipelines, training advanced neural networks, and optimizing models for real-time performance in robotics.

• Strong software engineering skills in Python with an ability to write production-quality code
• Experience with PyTorch or another major deep learning framework (e.g., JAX, TensorFlow)
• Experience training large-scale models on distributed GPU clusters
• Strong mathematical fundamentals, including linear algebra, computational geometry, probability theory, and numerical optimization
• Familiarity with classical computer vision (camera models, calibration, sensor fusion)
• Domain expertise in foundational vision, 3D & geometry, multimodal models, or human/object reconstruction

• Design and build scalable data pipelines, utilizing classical computer vision and off-the-shelf models to auto label massive video datasets
• Develop and train state-of-the-art foundational vision and multimodal networks, focusing on efficient tokenization, compression, and fusion of vision, language, audio, and tactile data
• Iterate on neural network architectures to improve perception, 3D understanding, and world modeling capabilities
• Optimize models for deployment on edge compute, utilizing quantization, pruning, and distillation to ensure real-time performance on the robot
• Collaborate with hardware and controls engineers to close the loop between perception and actuation in the real world

• Employees at Tesla are often offered day-one coverage with multiple medical options (some at $0 paycheck cost), dental/vision, company HSA contributions, a 401(k) match, and equity programs. Most roles also include paid time off and holidays, family-building support, employee assistance, commuter and childcare benefits, and access to discounts and wellness programs.