High Performance AI Engineer

NVIDIA

High Performance AI Engineer building multi-agent systems for CUDA ecosystem at NVIDIA. Designing and optimizing AI systems in a collaborative environment across multiple technologies and teams.

Posted 7/13/2026full-timeSanta Clara • California, Texas • 🇺🇸 United StatesMid-LevelSenior💰 $124,000 - $195,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and optimizing agentic AI systems within the CUDA ecosystem, with strong programming skills in C/C++ and Python. Proficient in developing evaluation frameworks and collaborating across the AI stack, including hardware and software integration.

Highest-signal resume keywords

AI Systems DevelopmentC/C++ ProgrammingPython ProgrammingGPU ProgrammingCUDA Optimization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Systems DevelopmentC/C++ ProgrammingPython ProgrammingGPU ProgrammingPerformance OptimizationDeep Learning FrameworksInference StacksSoftware Engineering FundamentalsEvaluation FrameworksFoundational Models

Tools & Technologies

CUDA EcosystemCompilersToolchainsKernelsLibrariesDistributed TrainingInferenceServing

Industry Keywords

Computer ScienceElectrical EngineeringAI StackAgentic SystemsOrchestration Frameworks

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

competitive salaries
generous benefits package
equity