About the job
NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. We are looking for an outstanding Senior Agentic AI Engineer to build groundbreaking mutli-modal agentic AI Solutions for NVIDIA software stack. As a member of the team, you will develop new agentic AI solutions to accelerate software design, code generation, performance improvement, testing and every component in SDLC. You will collaborate closely across internal teams and organizations and see your work used in products all over the world.
Responsibilities
Collaborate with software and hardware teams to identify high-impact opportunities for applying agentic AI technologies.
Lead the design, development, and optimization of agentic AI solutions that address challenges in performance, quality and productivity.
Develop and maintain agentic AI benchmarks to evaluate performance across diverse use cases.
Qualifications
Minimum
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, reinforcement learning, agents or orchestration frameworks; hands-on experience with deep learning frameworks and inference stacks.
Strong C/C++ and Python programming skills and solid software engineering fundamentals.
Outstanding problem-solving abilities and effective interpersonal skills.
Preferred
Hands-on experience with multimodal agentic AI frameworks.
Deep expertise in building, training, and fine-tuning foundation models.
Experience designing, executing, and analyzing AI model evaluation and benchmarking.
Open-source leadership in deep learning, agentic AI systems, or reinforcement learning.
Experience with GPU programming and performance optimization.