Engineering Manager – Agentic AI Platforms

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

Benefits offered by this job

Equity

Comprehensive benefits

Job summary

NVIDIA Corporation is seeking an experienced Software Engineering Manager to lead the development of core libraries for agentic applications in Santa Clara, CA. You will guide a high-performing team building scalable, GPU-accelerated components that enable robust, production-grade autonomous agents.

Bring 7+ years of experience, with 3+ years in leadership, strong collaboration skills, and a track record translating research into deployable open-source frameworks and tools.

Qualifications

• Bachelor’s or Master’s degree in CS, AI, Applied Math, or related field.
• At least 7 years total experience, incl. 3+ years in team management.
• Proven track record in designing and deploying modern agent architectures and open-source frameworks.
• Strong strategic vision to translate the rapidly evolving AI domain into platform roadmaps.

Responsibilities

• Lead a team to identify gaps in agent architectures and translate insights into agentic tools.
• Oversee the entire development lifecycle from ideation to deployment with flawless execution.
• Provide technical guidance and mentorship to team members.
• Collaborate with product management to determine project requirements and priorities and scale adoption.

Skills

Team management

Leadership

Open-source

Communication

Agent architectures

Education

BS or MS in CS/AI/Applied Math

Tools

SDKs

Open-source frameworks

Benchmarking tools

Job description

NVIDIA Corporation is seeking an experienced Software Engineering Manager to lead the development of core libraries for agentic applications in Santa Clara, CA. You will guide a high-performing team building scalable, GPU-accelerated components that enable robust, production-grade autonomous agents.

Bring 7+ years of experience, with 3+ years in leadership, strong collaboration skills, and a track record translating research into deployable open-source frameworks and tools.