The Core Infrastructure team empowers Tesla's Autonomy organization in accelerating the iteration, validation, and release of Robotaxi & Optimus features by managing large-scale compute resources, CI/CD pipelines, and backend systems for high-throughput and low-latency operations.
Requirements
- Proficiency with Python and/or Golang
- Familiarity with PyTorch
- Experience with Linux especially in networking, virtualization and filesystems
- Experience with container orchestration tools like Kubernetes and deployment tools like Ansible or similar
- Experience with concurrency programming
- Experience with data stores like PostgreSQL and Redis
- Familiarity wtih Bazel is a plus
Responsibilities
- Design & bring up AI Agentic workflows that spans across all stages of development from triaging issues to shipping features
- Design & implement backend infrastructure to handle iteration and batch processing of inference, simulation, and evaluation workloads based on real-world sensor data
- Influence architectural decisions with focus on security, scalability, reliability and high performance
- Setup & maintain monitoring, metrics and reporting systems for fine-grained observability/actionable alerting
- Work closely with the other Autopilot teams to design & implement backend components required for future features/processes
Other
- Our internship program is for students who are actively enrolled in an academic program.
- Recent graduates seeking employment after graduation and not returning to school should apply for full-time positions, not internships.
- 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.
