Senior AI Engineer, Agentic AI

About This Role

Building the next generation of agentic AI systems for the CUDA ecosystem is the core of this engineering role. The team works across the full agentic AI stack, from training and improving models to designing agent architectures and multi-agent systems, and building the systems, runtimes, and evaluation frameworks that make them effective at scale. You will help develop intelligent agentic systems that can reason about, generate, optimize, and operate across NVIDIA's accelerated computing stack.

Responsibilities

• Design, build, and optimize agentic AI systems for the CUDA ecosystem, including agent architectures, multi-agent workflows, tool use, memory, and orchestration
• Build the data, environments, verification, reward, and evaluation systems needed to continuously improve model and agent capabilities
• Co-design and optimize agentic systems across NVIDIA's software and hardware stack, from models and inference through compilers, runtimes, libraries, kernels, and GPUs

Requirements

• Bachelor's degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience; MS or PhD preferred
• 4+ years of relevant industry or academic experience in AI systems, machine learning, compilers, high-performance computing, or related areas
• Hands-on experience in one or more of the following: agent systems, coding agents, reinforcement learning, or modern AI inference systems
• Strong C/C++, Rust, and Python programming skills, with solid software engineering fundamentals
• Experience with GPU programming and performance optimization using CUDA or comparable accelerator platforms, and the ability to work effectively across system boundaries

Nice to have:

• Track record of building high-impact coding agents, autonomous software-engineering systems, or developer tools
• Hands-on experience optimizing and deploying with TRT-LLM, SGLang, vLLM, or Transformer Engine
• Deep expertise in GPU systems and performance optimization, demonstrated through benchmark results, deployed systems, publications, or widely used software
• Publications or open-source leadership in deep learning, agentic AI, reinforcement learning, compilers, high-performance computing, or AI systems

Benefits

• Equity
• Comprehensive benefits package

Important Details

• Application deadline: September 15, 2026

About the Company

NVIDIA is widely considered to be one of the technology industry's most desirable employers. They have some of the most brilliant and hardworking people in the world working with them and their product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.