Senior AI Engineer, High Performance

Job Description:

  • Design, build and optimize agentic AI systems for the CUDA ecosystem
  • Co-design agentic system solutions with software, hardware and algorithm teams; influence and adopt new capabilities as they become available
  • Develop reproducible, high-fidelity evaluation frameworks covering performance, quality and developer productivity
  • Collaborate across the AI stack—from hardware through compilers/toolchains, kernels/libraries, frameworks, distributed training, and inference/serving—and with model/agent teams

Requirements:

  • Bachelor’s degree in Computer Science, Electrical Engineering, or related field (or equivalent experience); MS or PhD preferred
  • 6+ years of industry or academia experience with AI systems development; exposure to building foundational models, agents or orchestration frameworks; hands-on experience with deep learning frameworks and modern inference stacks
  • Strong C/C++ and Python programming skills; solid software engineering fundamentals
  • Experience with GPU programming and performance optimization (CUDA or equivalent)

Benefits:

  • competitive salaries
  • generous benefits package
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