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Internship, ML Compiler Software Engineer, Dojo

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Posted : Tuesday, January 02, 2024 02:58 AM

Tesla participates in the E-Verify Program What to Expect Consider before submitting an application: This position is expected to start around September 2024 and continue through the entire Fall 2024 term or into Winter 2025 if available.
We ask for a minimum of 12 weeks, full-time and on-site, for most internships.
International Students: If your work authorization is through CPT, please consult your school on your ability to work 40 hours per week before applying.
You must be able to work 40 hours per week on-site.
Many students will be limited to part-time during the academic year.
The Internship Recruiting Team is driven by the passion to recognize and develop emerging talent.
Our year-round program places the best students in positions where they will grow technically, professionally, and personally through their experience working closely with their Manager, Mentor, and team.
We are dedicated to providing an experience that allows the intern to experience life at Tesla by including them in projects that are critical to their team's success.
As a member of the Dojo Machine Learning (ML) compiler team, you will be responsible for enabling Tesla’s neural networks to train efficiently on our upcoming in-house custom-silicon supercomputer systems.
Join a small team of experienced developers in designing and improving our ML compiler which transforms neural network graphs into programs running on Tesla’s custom massively parallel Dojo accelerators.
What You’ll Do Develop algorithms to improve compiler performance and reduce compiler overhead Debug functional and performance issues on massively parallel systems What You’ll Bring Currently pursuing a degree in Computer Science & Engineering, or a related field and graduating within a year Research or course work experience in compiler domain Comfortable with C++ and assembly code Strong communication skills Able to work from Page Mill (Palo Alto) office Familiarity with neural network architectures is a plus Familiarity with compiler frameworks such as MLIR or LLVM is a plus Experience in coding parallel programs is a plus Compensation and Benefits Benefits As a full-time Tesla Intern, you will be eligible for: 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 an option with a $0 payroll contribution Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Medical Plan with HSA Healthcare and Dependent Care Flexible Spending Accounts (FSA) LGBTQ+ care concierge services 401(k), Employee Stock Purchase Plans, and other financial benefits Company Paid Basic Life, AD&D, and short-term disability insurance Employee Assistance Program Sick time after 90 days of employment 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 Commuter benefits Employee discounts and perks program Expected Compensation $36.
06 - $50.
48 + 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 / Affirmative Action employer committed to diversity in the workplace.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor 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.

• Phone : NA

• Location : Palo Alto, CA

• Post ID: 9143647305


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