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Research Engineer, Infrastructure, Kernels

📅 Aug 4
CUDACuteTritonGPU Programming

📜 Description

  • Design and implement custom ML kernels (e.g., CUDA, CuTe, Triton) for core LLM operations optimized for modern GPU architectures.
  • Collaborate with research teams to align kernel-level optimizations with model architecture and algorithmic goals.
  • Develop and maintain a library of reusable kernels and performance benchmarks for internal model training.
  • Contribute to infrastructure stability and scalability, ensuring reproducibility and high utilization of compute resources.
  • Document and share insights through internal talks, technical papers, or open-source contributions.

🛠️ Requirements

  • Bachelor's degree or equivalent experience in computer science, electrical engineering, statistics, machine learning, or similar.
  • Strong engineering skills with the ability to contribute performant, maintainable code.
  • Understanding of deep learning frameworks (e.g., PyTorch, JAX) and their underlying system architectures.
  • Proficiency in CUDA, CuTe, Triton, or other GPU programming frameworks.
  • Demonstrated ability to analyze, profile, and optimize compute-intensive workloads.

Benefits

  • Dental
  • Vision benefits
  • Unlimited PTO
  • Paid parental leave
  • Relocation support as needed
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