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.
What you’ll be doing:
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.
What we need to see:
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.
Ways to stand out from the crowd:
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.
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.Top Skills
What We Do
NVIDIA’s invention of the GPU in 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, NVIDIA is increasingly known as “the AI computing company.”
