Investigate hard systems problems at the intersection of systems engineering and research.
Build meaningful capabilities with practical impact on Applied Systems.
13-week paid, in-person internship based in San Francisco during Summer 2026.
Distributed systems & storage improvements (throughput, latency, durability).
Compute & scheduling: GPU/accelerator utilization, orchestration, queuing.
Performance, reliability, observability, and ML systems tooling.

🎯 Requirements

Currently pursuing a PhD in Computer Science, Computer Engineering, or relevant technical field.
Proficiency in C++, Java, Python, Rust, etc.
Ongoing research in systems topics (DL/ML, databases, networking, distributed systems).
Ability to move fast in loosely defined, high-priority work.

🎁 Benefits

13-week paid internship
In-person in San Francisco
Potential extension up to 26 weeks

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