Senior Agentic AI Systems Architect

NVIDIA Corporation; California; On-site; USD 224,000 - 431,000; Full time

Job summary

NVIDIA Corporation is seeking a seasoned architect to design and lead scalable AI infrastructure. The role focuses on agentic AI systems, runtimes, and orchestration across HPC, cloud, and GPU environments.

You will drive reliability and performance while mentoring teams across research, engineering, and product groups. The candidate brings a deep background in distributed systems, modern AI, and hands-on programming in Python, C++, Go, or Rust.

Qualifications

• BS/MS or equivalent in Computer Science, Computer Engineering, AI, or a related field.
• 12+ years of relevant industry experience.
• Strong foundation in modern AI, including LLMs, multimodal models, inference, agentic AI, and evaluation.
• Deep expertise in software architecture, distributed systems, and large-scale systems design.
• Strong hands-on programming skills in Python, C++, Go, Rust, or similar languages.
• Background building large-scale systems involving distributed execution, data processing/ETL, workflow orchestration, HPC, cloud, or GPU infrastructure.
• Ability to reason across the stack - from AI model behavior and application logic to runtime, compute, and infrastructure.
• Proven ability to take ambiguous, complex technical problems from architecture through implementation and production.

Responsibilities

• Architect and build scalable, reliable systems for agentic AI, spanning agent runtimes, harnesses, inference, evaluation, and orchestration.
• Solve large-scale systems challenges across distributed execution, data/ETL pipelines, HPC, cloud, Kubernetes, and GPU compute environments.
• Optimize systems for reliability, scalability, performance, resource utilization, and developer experience.
• Prototype emerging ideas, write high-quality production code, and provide technical leadership across research, engineering, product, and infrastructure teams.

Job description

NVIDIA Corporation is seeking a seasoned architect to design and lead scalable AI infrastructure. The role focuses on agentic AI systems, runtimes, and orchestration across HPC, cloud, and GPU environments.

You will drive reliability and performance while mentoring teams across research, engineering, and product groups. The candidate brings a deep background in distributed systems, modern AI, and hands-on programming in Python, C++, Go, or Rust.