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Internship, Fullstack Engineer, Build Infrastructure
2 months ago
Consider before applying: This position is expected to start around January and continue through April/May. Internships are in-person for 40 hours a week for a minimum of 12 weeks. Please consider before submitting an application.
International Students: If your work authorization is through CPT, please consult your school before applying. You must be able to work 40 hours per week. Many students will be limited to part-time depending on their academic standing.
Internship Programs at Tesla
The Internship Recruiting Team is driven by the passion to recognize emerging talent. Our year-round program places the best students in positions that they will grow both technically and personally through their experience working closely with their Manager, Mentor, and team. We are dedicated to providing an experience that allows for the intern to experience life at Tesla by giving them ownership over projects that are critical to their team’s success.
Locations: Palo Alto, CA
About the Team
Tesla’s continued success depends on engineers being able to develop, debug, and deploy software quickly. Our web services, tools, and build infrastructure directly impact over 1000 vehicle, energy, and Autopilot software engineers. You'll be joining a small team located at the center of the firmware organization called Engineering Productivity, Build and Internal Infrastructure. This unique position exposes us to a wide array of interesting technical challenges and enables us to be the defenders of best practices such as code hygiene, reuse, and maintainability. As the brains of a whole organization, you will work on developer experience, build frameworks and high availability of tools, services, and computational cluster.
- Work on core build systems used by thousands of firmware engineers
- Implement new features in our web-based tooling, enhancing developer experiences
- You will work on building a distributed compute system, running code on hundreds of bare metal & cloud servers.
- Your focus will be on making code more efficient to run, optimizing resources across the cluster, and speeding up the compute workloads we face
- Currently pursuing a degree in Computer Science or a related field with a gradation date between 2025 - 2026
- Excellent knowledge of any modern programming language (Golang, C++, Python, Rust, Ruby, etc.)
- Strong Linux knowledge
- Experience with distributed compute systems (k8s, Slurm, LSF, etc.) or distributed architectures
- Knowledge of messaging services (RabbitMQ, Kafka, Redis, etc.)
