Systems Research Engineer Intern- GPU Programming (Summer 2026)
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The role
This internship focuses on developing and optimizing GPU-accelerated kernels for ML/AI applications.
You will co-design GPU kernels and model architectures with the modeling and algorithm teams to boost performance and efficiency.
Collaborate with hardware and software teams to influence GPU architectures and programming models.
Stay current with the latest GPU programming techniques and tools.
Responsibilities include optimizing GPU code, integrating GPU-accelerated solutions into existing software, and profiling performance.
Ideal candidates have strong CUDA/Triton background, experience with ML models, and solid problem-solving skills.
You will co-design GPU kernels and model architectures with the modeling and algorithm teams to boost performance and efficiency.
Collaborate with hardware and software teams to influence GPU architectures and programming models.
Stay current with the latest GPU programming techniques and tools.
Responsibilities include optimizing GPU code, integrating GPU-accelerated solutions into existing software, and profiling performance.
Ideal candidates have strong CUDA/Triton background, experience with ML models, and solid problem-solving skills.
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