Internship, AI Research Software Engineer, Autopilot Inference (Summer 2024) Undefined

Consider before submitting an application:

This position is expected to start around March, April or May 2024 and continue through the entire Summer term or into Fall 2024 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.

Locations Possible: Palo Alto, CA

What You?ll Do

• As an AI Inference Software Research Intern within the Autonomy group, you will have the opportunity to fine-tune, deploy, and optimize large neural networks for efficient inference on heterogenous edge devices (CPU/GPU/AI ASIC). The nature of the role is multi-disciplinary – you will be working at the intersection of machine learning and systems. You will build the frameworks and infrastructure that enable the seamless deployment, integration, and inference of all neural networks that run on Autopilot and the Humanoid Robot. You will develop system tools to benchmark, characterize, and optimize the latency and throughput of AI workloads on the FSD chip
• Design, train, and optimize large neural networks for efficient inference on heterogenous compute
• Build a real-world AI product deployed at scale across cars and robots

What You?ll Bring

• Expertise in state-of-the-art model optimization techniques, preferably with publications in top conferences
• Proficient in Python coding
• Proficient in PyTorch, TensorFlow, Jax, or other machine learning frameworks
• Proficient with state-of-the-art model optimization techniques
• Experience with training and deploying neural networks in a research and/or production setting
• Understanding of computer systems and architecture

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 – $125000.00 + 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.