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Senior High Performance AI Engineer

NVIDIA· Engineer, Sys SW
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US, CA, Santa Clara, US, TX, Austin, Hybrid (US, GA, Remote), Hybrid (US, TX, Remote), Hybrid (US, CA, Remote), US, WA, Redmond$184k - $287.5kfull-timePosted 4d ago

About the role

Senior High Performance AI Engineer to build groundbreaking multi-agent systems for the CUDA ecosystem, developing agent abstractions, GPU-centric runtimes, and compiler- or runtime-driven system solutions to accelerate agent planning, tool-use, code generation, and other high-impact AI workloads.

Responsibilities

  • 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.

Qualifications

  • Bachelor’s degree in Computer Science, Electrical Engineering, or related field (or equivalent experience); MS or PhD preferred.
  • 8+ 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).

Skills

Required:C/C++Python

Benefits

  • equity
  • comprehensive benefits package (benefits link provided)
Last updated Oct 23, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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