Senior High Performance AI Engineer, Agentic AI
$152k - $242k • Remote • US, CA, Santa Clara
Posted 1mo ago
Job Location
US, CA, Santa Clara
Tech Stack
Remote Work Policy
Fully remote
Categories
AI Agent Engineer
About the job
We are seeking Senior High Performance AI Engineers to develop the next generation of agentic AI systems within the CUDA ecosystem. This role involves working across the entire agentic AI stack, from model training and enhancement to designing agent architectures and multi-agent systems, and building the necessary systems, runtimes, and evaluation frameworks for effective large-scale deployment. You will contribute to intelligent agentic systems capable of reasoning, generating, optimizing, and operating across NVIDIA's accelerated computing infrastructure. This includes advancing model and agent capabilities, developing scalable agent systems and runtimes, creating high-fidelity training and evaluation environments, and collaborating on the co-design with NVIDIA's libraries, runtimes, compilers, and hardware. You will partner closely with internal NVIDIA software, model, and hardware teams to integrate new functionalities into NVIDIA products.
Responsibilities
- Design, build, and optimize agentic AI systems for the CUDA ecosystem, encompassing agent architectures, multi-agent workflows, tool use, memory, and orchestration.
- Develop data, environments, verification, reward, and evaluation systems to continuously enhance 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 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.
- Ability to work effectively across system boundaries.
Benefits
- Highly competitive salaries
- Comprehensive benefits package
- Equity