Senior Manager, Software Engineering - Agentic IT Operations

For over 25 years, NVIDIA has been at the forefront of transforming computer graphics, PC gaming, and accelerated computing, driven by a legacy of continuous innovation and exceptional talent.

We are now leveraging the immense potential of AI to usher in the next era of computing, where our GPUs power the "brains" of computers, robots, and autonomous vehicles that can comprehend the world!

This pioneering work demands vision, innovation, and the world's best talent.

Join our diverse and supportive environment, where NVIDIANs are inspired to excel and make a profound global impact.

We are seeking a hands-on technical leader to build and lead a high-performance engineering organization that architects, delivers, and operates production-grade software systems at global scale.

You will be responsible for transforming enterprise IT operations from manual, reactive workflows into fully automated, AI-driven platforms that scale with NVIDIA’s hyper-growth.

This role demands deep software engineering expertise, systems thinking, and the ability to drive large-scale technical transformation with measurable business outcomes.

Exceptional interpersonal, written, and verbal communication skills are vital for success.

As a Senior Engineering Manager, you will own the technical vision, architecture, and delivery of enterprise-scale automation platforms that eliminate manual workflows and enable NVIDIA to operate at 10x scale without proportional headcount growth.

You will build and lead a team of IT engineers, set the technical bar, and personally contribute to system design and code.

include:

• Architect and ship agentic AI systems using LLM-based agents, tool calling, RAG, and orchestration frameworks delivering production-grade AI-assisted operations across enterprise IT domains including employee support, endpoint services, and IT support operations.
• Design and deploy autonomous AI agents that execute complex, multi-step enterprise workflows end-to-end coordinating approvals, vendor handoffs, cross-system data reconciliation, and exception handling with human-in-the-loop controls delivering measurable improvements in availability, cycle time, cost, and compliance.