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Applied AI Engineer, AI HardwareTesla • Palo Alto, California, United States
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Applied AI Engineer, AI Hardware

Tesla
  • US
    Palo Alto, California, United States
  • US
    Palo Alto, California, United States
Jetzt Bewerben

Über

Overview 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. What to Expect 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. What You'll Do
Design and develop AI-powered applications ranging from static timing analysis to physical synthesis optimization and automation enhancements Oversee the setup, configuration, and performance tuning of EDA tools for digital, analog, and mixed-signal design, including simulation (e.g., SPICE, Verilog simulators), synthesis, place-and-route, verification, and layout tools from vendors like Cadence, Synopsys, or Siemens Create or customize solutions ( e.g., in Tcl, Perl, or Python) to automate EDA flows, improve efficiency, and address specific design challenges in simulation, verification, or layout Assist in formal verification, timing analysis, DRC/LVS checks, and ensuring designs meet fabrication standards Collaborate cross-functionally with software and hardware teams to accelerate the hardware development lifecycle Strive to close the gap between AI-driven EDA and traditional sign-off ready tools
What You'll Bring
Degree in Electrical or Computer Engineering, Applied Physics, or related field, or equivalent experience with 3+ years developing and shipping production ML systems for hardware, EDA, semiconductor domains or equivalent Strong VLSI foundation in analog/digital circuit design, including transistor-level modeling, layout parasitics, and custom IC flows Expertise in Python + ML frameworks (PyTorch, TensorFlow, JAX); experience with graph ML (e.g., PyG, DGL) for netlists and geometric data Hands-on integration with EDA tools like Cadence Virtuoso, Spectre, Synopsys HSPICE, PrimeTime and familiarity with opportunities for AI enhancement Knowledge of static timing analysis, routing tools, and potential AI applications Proven track record in 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
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 $124,000 - $282,000/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. Helping all candidates find great careers is our goal. The information you provide here is secure and confidential. We are now directing you to the original job posting. Please apply directly for this job at the employer’s website. #J-18808-Ljbffr
  • Palo Alto, California, United States

Sprachkenntnisse

  • English
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