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Tesla Ai Jobs (NOW HIRING)

What to Expect The Tesla AI Hardware team is at the forefront of revolutionizing artificial intelligence through cutting-edge hardware innovation. Comprising brilliant engineers and visionaries, the ...

What to Expect The Data Labeling team is responsible for annotating images, videos, and other data for our Tesla AI software. Accurate data is the foundation for training our neural networks and ...

What to Expect The Data Labeling team is responsible for annotating images, videos, and other data for our Tesla AI software. Accurate data is the foundation for training our neural networks and ...

Data Labeler Manager

Palo Alto, CA · On-site

$92K - $138K/yr

What to Expect The Data Labeling team is responsible for annotating images, videos, and other data for our Tesla AI software. Accurate data is the foundation for training our neural networks and ...

Use in-house tools to label images for the Tesla AI team * Interact with team members to help us improve on the design of an efficient labeling interface * Gain basic computer vision and machine ...

Use in-house tools to label images for the Tesla AI team * Interact with team members to help us improve on the design of an efficient labeling interface * Gain basic computer vision and machine ...

What You'll Do * Provide comprehensive administrative support to AI Engineering leadership ... Astrong passion for Tesla's mission Compensation and Benefits Benefits Along with competitive pay ...

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Tesla Ai information

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$25K

$108.3K

$201K

How much do tesla ai jobs pay per year?

As of Jul 7, 2026, the average yearly pay for tesla ai in the United States is $108,329.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,500.00 and $148,500.00 per year, depending on experience, location, and employer.

What is a Tesla AI job?

A Tesla AI job involves working on artificial intelligence and machine learning technologies to advance Tesla's autonomous driving, robotics, and energy solutions. Employees in these roles develop and optimize neural networks, perception models, and AI-driven decision-making systems. Tesla AI engineers typically work on projects like the Full Self-Driving (FSD) software, Tesla Bot, and AI-powered manufacturing processes. These roles require expertise in deep learning, computer vision, reinforcement learning, and large-scale data processing.

What are the key skills and qualifications needed to thrive in the Tesla Ai position, and why are they important?

To thrive as a Tesla AI professional, you need advanced expertise in machine learning, deep learning, computer vision, and data analysis, typically supported by a degree in computer science, engineering, or a related discipline. Familiarity with frameworks like TensorFlow or PyTorch, experience in large-scale neural network training, and proficiency with software development tools are commonly required. Strong problem-solving abilities, creativity, and effective communication skills are important for collaborating within multidisciplinary teams and innovating in fast-paced environments. These capabilities are crucial for developing autonomous systems and AI-driven solutions that power Tesla's products and set industry standards.

What is the typical team structure and work environment for Tesla AI roles?

Tesla AI professionals typically work within collaborative, cross-functional teams composed of experts in software engineering, robotics, data science, and hardware design. The environment is fast-paced and innovation-driven, with frequent opportunities to participate in brainstorming sessions, peer code reviews, and cutting-edge research initiatives. You may be expected to work closely with product managers and engineers from other departments to integrate AI solutions directly into Tesla's vehicles and services. This dynamic structure fosters rapid skill development and encourages employees to take ownership of projects, helping to accelerate both personal and professional growth.

More about Tesla Ai jobs
What cities are hiring for Tesla Ai jobs? Cities with the most Tesla Ai job openings:
What are the most commonly searched types of Tesla Ai jobs? The most popular types of Tesla Ai jobs are:
What states have the most Tesla Ai jobs? States with the most job openings for Tesla Ai jobs include:
Infographic showing various Tesla Ai job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $108,329 per year, or $52.1 per hour.
AI Performance Architect, AI Hardware

AI Performance Architect, AI Hardware

Tesla

Palo Alto, CA • On-site

$176K - $420K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 669 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers


Job description

What to Expect

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. 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.

As a key member of the Tesla AI hardware team, the AI/ML Modeling Engineer will drive the modeling, and optimization of next-generation tensor compute hardware. This role requires a deep expertise in computer architecture, and proven proficiency in performance modeling and optimization. The ideal candidate has a thorough understanding of AI workloads, and thrives in fast-paced environments, delivering elegant, high-performance solutions that push the boundaries of AI hardware efficiency.

What You'll Do
  • Collaborate closely with system architects, micro architects, ML model designers, and compiler engineers to create highly efficient hardware designs on accelerated timelines
  • Develop and validate sophisticated performance models to evaluate architecture and microarchitecture tradeoffs, guiding informed decision-making
  • Define comprehensive workload suites and key performance metrics to benchmark and evaluate hardware capabilities
  • Analyze and assess implementations of machine learning algorithms on Tesla AI hardware, identifying bottlenecks and opportunities for improvement
  • Participate in hardware/software co-design efforts to align future hardware capabilities with evolving algorithmic demands
  • Contribute to code reviews, testing, and debugging processes to maintain exceptional code quality and reliability
  • Stay abreast of cutting-edge advancements in AI workloads, domain-specific languages, computer architecture, and simulation methodologies to inform strategic directions

What You'll Bring
  • Degree in Engineering, Computer Science, or a related field, or equivalent practical experience demonstrating exceptional ability
  • In-depth knowledge of Large Language Models (LLMs), transformer architectures, including their training, inference processes, and optimization techniques
  • Strong expertise in CPU, GPU, and/or ML accelerator microarchitectures, with hands-on experience in performance characterization
  • Proficiency with deep learning frameworks such as PyTorch, JAX, Pallas, or similar tools
  • Robust programming skills in C/C++, Python, or other relevant languages
  • Solid understanding of physical design constraints, including power, performance, and area (PPA) tradeoffs in hardware development
  • Exceptional problem-solving abilities, capable of dissecting complex issues and devising innovative, practical solutions
  • Excellent communication and interpersonal skills, fostering effective collaboration across teams, including leadership and engineering stakeholders
  • Demonstrated experience in performance analysis, including the use of simulation frameworks and profiling tools

Compensation and Benefits 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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