NVIDIA
Technology
SeniorAIArchitect,ComputerUseAgents
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“Senior AI Architect, Computer Use Agents at NVIDIA. Skills: Agentic AI, Foundation models, Deep learning. Collaborate with software and hardware teams. Identify high-impact opportunities”
Industry & Context.
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, 3 years+ industry or academia experience, Hands-on experience with deep learning frameworks, Proficiency in Python, Proficiency in at least one systems language
Nice to Have
MS or PhD preferred, Familiarity with safety, guardrails, and policy enforcement, 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
What You'll Do.
Collaborate with software and hardware teams
Identify high-impact opportunities
Lead design of agentic AI solutions
Lead development of agentic AI solutions
Lead optimization of agentic AI solutions
Develop agentic AI benchmarks
Maintain agentic AI benchmarks
How You'll Work.
Team & Collaboration
Across internal teams
Full Job Description
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. * Proficiency in Python and at least one systems language such as Go, Rust, or C++ * Experience developing agentic or automated systems that communicate with external tools, APIs, browsers, or operating systems . **Ways to stand out from the crowd:** * Familiarity with safety, guardrails, and policy enforcement for autonomous systems * Deep expert
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