Member of Technical Staff; Summer Internship
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-07-21
Listing for:
Wafer
Full Time, Seasonal/Temporary, Apprenticeship/Internship
position Listed on 2026-07-21
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
About the role
Join our team as an intern to build the future of inference, GPU optimization and AI infrastructure. You'll work directly as a full-time engineer with the team to help define our technical direction and build the core systems that power our GPU optimization platform.
What You’ll Do- Build scalable infrastructure for AI model training and inference
- Lead technical decisions and architecture choices
- GPU Fundamentals:
Deep understanding of GPU architectures, CUDA programming, and parallel computing patterns. - Deep Learning Frameworks:
Proficiency in PyTorch, Tensor Flow, or JAX, particularly for GPU-accelerated workloads. - LLM/AI Knowledge:
Strong grounding in large language models (training, fine-tuning, prompting, evaluation). - Systems Engineering:
Proficiency in C++, Python, and possibly Rust/Go for building tooling around CUDA.
- Publications or open-source contributions in inference GPU computing or ML/AI for code are a plus.
- Hands-on experience with large-scale experiments, benchmarking, and performance tuning.
Position Requirements
Less than 1 Year
work experience
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