Autonomous ML Engineer: Agentic Workflows & GPUs

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking an applied ML expert to join the Agentic Engineering team within the Deep Learning Framework Group in Santa Clara. You will translate complex requirements into scalable infrastructure, driving autonomous workflows that improve code generation, testing, and tuning across NVIDIA frameworks and developer tools.

The role emphasizes collaboration with internal customers, delivering durable solutions, and shipping high-impact projects with minimal direction.

Qualifications

• MS in CS, Engineering, or equivalent experience.
• 6+ years of experience.
• Strong Python development skills.
• Working knowledge of GPUs or data-parallel systems.
• Demonstrated AI systems development experience.
• Track record shipping complex projects with minimal direction.
• Experience building tools via internal customer partnerships.
• Leading technical work through changing requirements.

Responsibilities

• Develop agentic workflows for code generation, testing, and tuning across NVIDIA frameworks and tooling.
• Iterate with early-adopter teams to validate plans and measure impact.
• Integrate agentic systems into git-native workflows and CI pipelines for GPU workloads.
• Collaborate across teams to share reusable agentic methodology and drive adoption.

Skills

Python

GPUs

AI systems

Project delivery

Technical leadership

Customer collaboration

Education

MS in Computer Science or Engineering

Tools

LangChain

LangGraph

Git

CI pipelines

Job description

NVIDIA is seeking an applied ML expert to join the Agentic Engineering team within the Deep Learning Framework Group in Santa Clara. You will translate complex requirements into scalable infrastructure, driving autonomous workflows that improve code generation, testing, and tuning across NVIDIA frameworks and developer tools.

The role emphasizes collaboration with internal customers, delivering durable solutions, and shipping high-impact projects with minimal direction.