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Senior High Performance AI Engineer

NVIDIA•United States•🌍 Remote
Full-time3-7
$184K - $357K
per year
👁️ 0 views•📝 0 applications•Posted 10/18/2026•Expires 12/17/2026
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Job Description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing.

An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent.

As an NVIDIA N, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are looking for outstanding Senior High Performance AI Engineer to build groundbreaking multi-agent systems for the CUDA ecosystem.

We build innovative agentic runtimes and compiler-integrated orchestration that work together with NVIDIA 's software stack to provide comprehensive acceleration for modern agent workloads powered by foundational models.

As a member of the team, you will develop new 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.

You will collaborate closely with internal NVIDIA software and hardware teams to push the latest developments into NVIDIA products. What you'll be doing: 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. What we need to see: Bachelor’s degree in Computer Scie

Required Skills

CUDAAI systemsagentic runtimescompiler-integrated orchestrationGPU-centric runtimesagent planningtool-usecode generationperformance evaluationquality evaluationdeveloper productivitydistributed traininginferenceserving

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