Senior AI Engineer, High Performance

NVIDIA

Senior High Performance AI Engineer building innovative agentic systems for CUDA ecosystem. Collaborating with software and hardware teams to accelerate high-impact AI workloads.

Posted 5/23/2026full-timeRemote • California, Texas • 🇺🇸 United StatesSenior💰 $184,000 - $287,500 per yearWebsite

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
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

Comp & perks

competitive salaries
generous benefits package

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

CC++PythonGPU programmingperformance optimizationdeep learning frameworksinference stackssoftware engineering fundamentalsevaluation frameworksagentic AI systems

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Electrical EngineeringMSPhD