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Internship, Software Engineer, Autopilot Inference (Fall 2024)

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Posted : Tuesday, April 30, 2024 06:11 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.
As a member of the Autopilot group, you will have the opportunity to apply your technical skills to a variety of system components & foundational code targeting higher performance of Autopilot and our Humanoid robot.
You will participate in the development of the internal working of the AI inference (export/compiler/runtime/deployment) stack running Neural Networks in millions of Tesla cars.
Having experience or familiarity with Computer Vision, Machine Learning & related software concepts is a plus.
What You’ll Do Take ownership of parts of AI Inference stack (Export/Compiler/Runtime) (flexible, based on skills/interests/needs) Closely collaborate with AI team to guide them on the design and the development of Neural Networks into production Collaborate with HW team to understand current HW architecture and propose future improvements Develop algorithms to improve performance and reduce compiler overhead Debug functional and performance issues on massively-parallel systems Work on architecture-specific neural network optimization algorithms for high performance computing What You’ll Bring Currently pursuing a degree in Computer Science & Engineering, or a related field Comfortable with C++ and Python Capable of delivering results with minimal oversight Bonus: Senior level candidates with prior industry experience.
Please include anticipated graduation date on resume 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 $100000.
00 - $150000.
00 + 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: 9143642837


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