AI Engineer

What you’ll be doing:

• 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/tool chains, kernels/libraries, frameworks, distributed training, and inference/serving—and with model/agent teams.

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

• 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.

Base salary will be determined based on location, experience, and comparable positions. The base salary range is $124,000

USD–$195,500

USD for Level2, and $152,000

USD–$241,500

USD for Level
3. Eligible for equity and benefits.

Applications for this job will be accepted at least until July 17, 2026.

NVIDIA is committed to fostering an inclusive work environment and is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.