What To Expect
Tesla is solving robust embodied intelligence through humanoid robots. You will join the team building the vision and multimodal foundation models that allow Optimus to understand, interact, and navigate the world. Working at the intersection of large-scale deep learning and real-world robotics, you will own the full model lifecycle - from designing massive-scale data engines and auto labeling pipelines to architecting novel neural networks and deploying them to thousands of robots.

What You'll Do

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

What You'll Bring

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, are a plus

Familiarity with classical computer vision (camera models, calibration, sensor fusion) is a plus

Strong mathematical fundamentals, including linear algebra, computational geometry, probability theory, and numerical optimization, are a plus

Familiarity with classical computer vision (camera models, calibration, sensor fusion) is a plus

Domain expertise in one or more of the following areas:

Foundational Vision: Vision encoder pretraining, dense prediction, segmentation

3D & Geometry: Multiview geometry, NeRFs, 3D Gaussian Splatting, geometric vision models

Multimodal Models: World models, video generation, vision-language-action models

Human/Object Reconstruction: Mesh reconstruction, hand pose estimation, human-object interaction, object affordance

Benefits
Compensation and Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

Medical plans > plan options with $0 payroll deduction

Family-building, fertility, adoption and surrogacy benefits

Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution

Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA

Healthcare and Dependent Care Flexible Spending Accounts (FSA)

401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits

Company paid Basic Life, AD&D

Short-term and long-term disability insurance (90 day waiting period)

Employee Assistance Program

Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays

Back-up childcare and parenting support resources

Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance

Weight Loss and Tobacco Cessation Programs

Tesla Babies program

Commuter benefits

Employee discounts and perks program

Expected Compensation

$176,000 - $420,000/annual salary + cash and stock awards + benefits

Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

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