Tesla
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New Grad, Machine Learning Infrastructure Software Engineer, Dojo (Spring/Summer 2025)

Job details

Job description

What to Expect

As a Machine Learning Infrastructure Software Engineer on Tesla's Dojo team, you will build the infrastructure used to for training of neural networks on our custom-built supercomputer. In this role, you may work across software, hardware, and machine learning teams to solve challenges related to performance, scalability, and reliability. You will have the opportunity to contribute to Tesla's cutting edge Dojo Supercomputer, which will have a significant impact on the future of autonomous driving, Optimus, and real-world AI.

What You’ll Do

  • Collaborate with machine learning researchers and engineers to optimize training workloads on Tesla's Dojo system
  • Work on a variety of tasks, from improving the performance of neural network training to optimizing hardware-software interactions
  • Help identify and solve bottlenecks across distributed systems to ensure efficient training and faster model convergence
  • Contribute to the development and optimization of training software, ensuring smooth operation of the system and integration with Tesla’s broader infrastructure
  • Support the reliability and performance of the Dojo system, including monitoring, troubleshooting, and making improvements where needed
  • Collaborate with cross-functional teams to ensure that training workflows run efficiently, from data management to system-level optimizations

What You’ll Bring

  • Degree in Engineering, Computer Science and graduating Spring or Summer 2025, or equivalent in experience and evidence of exceptional ability
  • Strong proficiency in C++ and/or Python programming
  • Experience or interest in distributed systems, parallel programming, and hardware/software optimization
  • A willingness to work across different technical areas, from deep learning frameworks to hardware systems
  • Strong communication skills and an ability to work in a fast-paced, collaborative environment
  • An eagerness to learn and tackle new technical challenges in AI and machine learning systems

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:

  • Aetna PPO and HSA plans > 2 medical 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 Account) HSA Contribution when enrolled in the High Deductible Aetna 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
  • Employee Assistance Program
  • Sick and Vacation time (Flex time for salary 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

$132,000 - $300,000/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.

Tesla is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to any factor, including veteran status and disability status, protected by applicable federal, state or local laws.

Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.

For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here). Please contact accommodationrequest@tesla.com for additional information or to request accommodations.

Privacy is a top priority for Tesla. We build it into our products and view it as an essential part of our business. To understand more about the data we collect and process as part of your application, please view our Tesla Talent Privacy Notice .

About the company

Job Location

Palo Alto, CA

Company Size

10,001+

Our Story

Our mission is to accelerate the world’s transition to sustainable energy. With global temperatures rising, the faster we free ourselves from fossil fuel reliance and achieve a zero-emission future, the better. In pursuit of this mission, we make electric vehicles that are not just great EVs, but the best cars, period. We also produce and install infinitely scalable clean energy generation and storage products that help our customers further decrease their environmental impact. When it comes to achieving our goals, we pride ourselves in accomplishing what others deem impossible. We are opening new factories and increasing our output everyday – join us in building a sustainable future.

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