Tesla Physics Jobs (NOW HIRING)

The Tesla AI Hardware team is at the forefront of revolutionizing artificial intelligence through cutting-edge hardware innovation. Comprising brilliant engineers and visionaries, the team designs and develops advanced AI inference chips tailored to accelerate Tesla's machine learning capabilities. A key part of this effort is Dojo, Tesla's custom supercomputer system built to efficiently train massive neural networks on vast video data from the fleet. The work of Tesla's AI Hardware team powers the neural networks behind Full Self-Driving (FSD), and Tesla humanoid robot, Optimus, pushing the boundaries of computational efficiency and performance. By creating custom silicon and optimized architectures, the team ensures Tesla remains a leader in AI-driven automotive and energy solutions, shaping a future where intelligent machines enhance human life.

The AI Hardware Engineering team at Tesla is transforming EDA tools through AI-driven innovation to supercharge custom silicon for Full Self-Driving and Optimus robotics. We approach EDA as an end-to-end machine intelligence platform: infusing neural networks into synthesis, placement, routing, and verification flows, where every simulation cycle yields actionable data, every constraint optimization trains smarter algorithms, and every silicon revision hones our models for unprecedented speed and efficiency in next-gen autonomous systems.

• Design and develop AI-powered applicationsranging fromverifiable environmentdesign tophysicalplacementoptimization andproxyreward exploration
• Create or customizesolutions(e.g., inTcl, Perl, or Python) to automate EDAflows, improve efficiency, and address specific design challenges in simulation, verification, orlayout(e.g.MCP)
• Collaborate cross-functionally with software and hardware teams to accelerate the hardware development lifecycle
• Strive to close the gap between AI-drivenEDAand traditional sign-off ready tools

• Degree inComputer Science,Electrical or Computer Engineering, AppliedMath/Physics, or related field, or equivalent experience withexperiencedeveloping and shipping production ML systems
• ExpertiseinML fundamentals with implementation experience inPython + ML frameworks (PyTorch, TensorFlow, JAX); experience with graph ML (e.g.,PyG, DGL) for netlists and geometric data
• VLSI foundation in analog/digital circuit design, including transistor-level modeling, layoutparasitics, and custom ICflows isa bonus
• Hands-on integration with EDA tools like Cadence Virtuoso,Spectre, Synopsys HSPICE,PrimeTimeand familiarity withopportunitiesfor AI enhancement
• Knowledge of static timing analysis, routing tools, and potential AI applications
• Proventrack recordin data pipelines for engineering datasets: curation, augmentation, and versioning for circuit simulation outputs
• Bias for action, experimentation mindset, and ability to thrive in ambiguous, high-stakes environments with rapid prototyping

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

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.