Student Researcher (AI Foundation Models Infrastructure – Seed Infra) – 2026 Start
Seattle, Washington, United States
USD 218K-387K (estimate) Entry-level Full Time
Tasks
- Build and optimize distributed training systems
- Collaborate with researchers to build scalable system solutions
- Develop internal tools and automation
- Improve inference performance latency and throughput
- Improve reinforcement learning training pipelines
- Optimize compiler and runtime for GPUs and accelerators
- Perform performance analysis profiling and benchmarking
Perks/Benefits
Skills/Tech-stack
Automation | Benchmarking | C++ | Compiler optimization | Data parallelism | Distributed Training | GPU Optimization | Machine Learning | Model Parallelism | Performance Profiling | PyTorch | Python | Reinforcement Learning | Runtime optimization
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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