Senior High Performance AI Engineer

Nvidia

Confirmed live today High trust

Remote

Quick summary

Work type: Remote
Location: Santa Clara, CAGAAustin, TXTXCARedmond, WA
Salary: $184,000–$287,500 / yr
Employment: Full-time
Posted: 11 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $202k

This role $236k

$134k $304k

below market most similar roles pay here above market

This role pays more than 74% of similar roles. Most pay $161,975–$241,750 — the blue band above. At the midpoint, this role pays about $236k versus about $202k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior High Performance AI Engineer

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The Senior High Performance AI Engineer will join the team to build groundbreaking multi-agent systems for the CUDA ecosystem. The role involves developing agentic runtimes, compiler-integrated orchestration, and new agent abstractions to provide comprehensive acceleration for modern agent workloads powered by foundational models. You will design and optimize systems for agent planning, tool-use, and code generation while co-designing solutions with software, hardware, and algorithm teams. Key responsibilities include developing high-fidelity evaluation frameworks for performance and quality. Required skills include proficiency in C/C++, Python, and GPU programming for performance optimization. Candidates should have experience with deep learning frameworks, modern inference stacks, and building foundational models or orchestration frameworks. This role addresses the technical challenge of accelerating complex agentic AI workloads across the full hardware and software stack.

Skills

CUDA C++ Python Deep Learning GPU Programming Distributed Training Inference Multi-Agent Systems Reinforcement Learning Performance Optimization AI Systems Foundational Models

What you'll do

Design, build, and optimize agentic AI systems for the CUDA ecosystem.
Develop new agent abstractions and GPU-centric runtimes to accelerate AI workloads.
Create compiler-integrated orchestration and system solutions for agent planning and tool-use.
Build reproducible, high-fidelity evaluation frameworks for performance, quality, and developer productivity.
Co-design agentic system solutions with software, hardware, and algorithm teams.
Optimize and deploy high-performance models on resource-constrained platforms.
Integrate new capabilities across the AI stack from hardware through compilers and inference.

What we're looking for

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.
Experience 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 with solid software engineering fundamentals.
Experience with GPU programming and performance optimization (CUDA or equivalent).
Track record building/evaluating deep learning models, coding agents, and developer tooling (preferred).

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