Internship, Software Engineer, AI Inference (Fall 2024) Full-time

Please consider before submitting an application:
This position is expected to start around August/September and continue through the entire Fall term or into Winter 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.

Location Possible: Palo Alto, CA
About the Team: Our team productionalizes ML models – we train and deploy large neural networks for efficient inference on compute-constrained edge devices (CPU / GPU / AI ASIC). The nature of this role is multi-disciplinary – you will work at the intersection of machine learning and systems by building the ML frameworks and infrastructure that enable the seamless training, deployment, and inference of all neural networks that run on Autopilot and Optimus.

Responsibilities

• Build robust AI frameworks to lower neural networks to edge devices
• Build robust AI infrastructure to train and fine-tune networks for Autopilot and Optimus on large GPU clusters
• Deploy state-of-the-art neural networks on heterogenous compute, including Tesla’s in-house AI ASIC, with an aim to maximize network performance while minimizing latency
• Collaborate with AI scientists and compiler engineers to effectively compress large models to run in low precision
• Design and implement custom GPU kernels (CUDA / OpenCL) for efficient training and post-processing of network outputs

Requirements

• Proficiency with Python and C++, including modern C++ (14/17/20)
• Proficiency with PyTorch or another machine learning framework
• Proficiency with training and deploying neural networks for real-world AI
• Proficiency with computer systems and computer architecture
• Experience with CUDA

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.