About the role#
As a Software Engineer Intern on the Reinforcement Learning Infrastructure team, you will build systems that make large-scale reinforcement learning fast, stable, and flexible. Your work supports teams developing Robotaxi and Optimus. You will focus on infrastructure that helps ML engineers move from prototype to large-scale experiments quickly.
What you'll do#
- Build infrastructure for large-scale reinforcement learning.
- Experiment with techniques that reduce convergence time or improve model quality.
- Improve the performance and scalability of RL workloads.
- Work with ML engineers to productionize new methods in the RL framework.
- Debug bottlenecks across runtimes, networking, and distributed systems.
- Improve system reliability, correctness, and engineering quality across the RL stack.
What you'll need#
- Current enrollment in a Computer Science, Computer Engineering, or related degree program.
- Graduation date between May 2027 and December 2027.
- Strong programming skills in Python or C++.
- Experience with RL algorithms, techniques, and training frameworks.
- Familiarity with ML training frameworks, ideally PyTorch.
- A strong foundation in distributed systems and performance engineering.
- Experience profiling and optimizing CPU-GPU interactions, such as pipelining computation with data transfers.
- Ability to debug difficult problems and work with limited oversight.
- Practical experience or project exposure in RL training infrastructure.
Location & details#
- Location: Palo Alto, California.
- Term: Summer 2027.
- Modality: On-site, full-time (40 hours per week).
- Compensation: $100,000 to $150,000 plus benefits.
About Tesla
Tesla produces electric vehicles, battery storage systems, and solar energy products. Founded in 2003, the company operates six vertically integrated factories across three continents. It is headquartered in Austin, Texas, and employs over 10,000 people. The organization designs, manufactures, sells, and services its products internally.
How to get in at Tesla
Applying early at Tesla provides a distinct advantage because recruiters review candidates before the applicant pool becomes unmanageable. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, so you apply among the first and get seen before the pile grows. Reaching out to the right people often yields better results than submitting to a general queue. Intern Insider surfaces the recruiters behind the company roles so you can contact them directly to ask about the position or a referral, which materially improves your response rates.
