High Performance AI Engineer

About the role

We are looking for outstanding High Performance AI Engineers to build groundbreaking multi-agent systems for the CUDA ecosystem. Our team builds 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.

Responsibilities

• 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

• 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).

Qualifications

• Strong experience in building/evaluating deep learning models, coding agents and developer tooling.
• Demonstrated ability to optimize and deploy high-performance models, including on resource-constrained platforms.
• Demonstrated ability 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.

Skills

• Strong C/C++ and Python programming skills.
• Experience with GPU programming and performance optimization (CUDA or equivalent).
• Experience with deep learning frameworks and modern inference stacks.
• Experience with building agentic AI systems.
• Experience with developing reproducible, high-fidelity evaluation frameworks.
• Experience with collaborating across the AI stack.

Benefits

• Competitive salaries.
• A generous benefits package.

Pay

• Base salary range: $124,000 - $195,500 for Level 2, and $152,000 - $241,500 for Level 3.

Schedule

• Full-time position.