Senior AI Systems Engineer — Agentic ML & GPU Workflows

NVIDIA; Santa Clara (CA); On-site; USD 224,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits package

Job summary

NVIDIA's Agentic Engineering team in the Deep Learning Framework Group seeks an applied ML expert to design and implement agentic workflows that automate code generation, testing, and tuning across NVIDIA's frameworks and developer tooling. You will work with early-adopter engineering teams and translate complex requirements into durable infrastructure.

This role emphasizes multi-agent orchestration, hardware-aware optimizations, and contributions to git-native workflows and CI pipelines.

Qualifications

• MS in Computer Science or equivalent experience.
• 12+ years of experience in ML/AI or software engineering.
• Strong Python development skills.
• Working knowledge of GPUs or data-parallel systems.
• Demonstrated projects using AI systems.
• Track record of delivering complex projects with minimal direction.

Responsibilities

• Develop deep, shared understanding with early-adopter teams.
• Iterate requirements with teams and validate proof points.
• Agent-ic workflows to automate code generation, testing, and tuning.
• Integrate systems into git-native workflows and CI pipelines.

Skills

Python development

GPU programming

AI systems experience

Multi-agent orchestration

Requirements handling

Internal tooling

Education

MS in Computer Science or related field

Tools

LangChain

LangGraph

Git

CI/CD tooling

Job description

NVIDIA's Agentic Engineering team in the Deep Learning Framework Group seeks an applied ML expert to design and implement agentic workflows that automate code generation, testing, and tuning across NVIDIA's frameworks and developer tooling. You will work with early-adopter engineering teams and translate complex requirements into durable infrastructure.

This role emphasizes multi-agent orchestration, hardware-aware optimizations, and contributions to git-native workflows and CI pipelines.