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# Senior High Performance AI Engineer

- **Company:** NVIDIA Corporation
- **Location:** United States
- **Experience:** Expert
- **Salary:** $184,000.0 - $287,500.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, C++ (Programming Language), Nvidia CUDA, Computer Programming, Programming Tools, Python (Programming Language), Open Source Technology, Performance Tuning, Reinforcement Learning, Graphics Processing Unit (GPU), Multi-Agent Systems, Deep Learning, Gpu Programming, AI Coding Agents, Kubernetes, Information Technology
- **Published:** October 22, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-high-performance-ai-engineer-ga--46995770-07aa-4603-8366-f92a6ba11355

## About the Role

Artificial Intelligence (AI), Autonomous Driving Systems, GPU (Graphics Processing Unit), Artificial Intelligence (AI), Ecosystems, CUDA (Compute Unified Device Architecture), Algorithms, Kernel Programming, Electrical Engineering, Computer Science, * 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).

Ways To Stand Out From The Crowd:

 * Track record building/evaluating deep learning models, coding agents and developer tooling.
 * Demonstrated ability to optimize and deploy high-performance models, including on resource-constrained platforms.
 * Deep expertise in GPU performance optimizations, evidenced by benchmark wins or published results.
 * Publications or open-source leadership in deep learning, multi-agent systems, reinforcement learning, or AI systems; contributions to widely used repos or standards.