Senior Manager, Software Engineering, Agentic IT Operations

Nvidia

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Employment
Full-time
Posted
60 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $191k
$120k $247k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $164,541–$217,712.

Based on 240 similar postings.

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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Senior Manager, Software Engineering, Agentic IT Operations

The Senior Manager, Software Engineering - Agentic IT Operations will lead a high-performance engineering organization to transform enterprise IT operations into automated, AI-driven platforms. You will architect and ship agentic AI systems using LLM-based agents, tool calling, RAG, and orchestration frameworks to automate workflows across employee support, endpoint services, and IT support operations. Key responsibilities include designing autonomous agents for multi-step workflows, engineering integration platforms for ServiceNow and ERP systems, and owning the full stack including data pipelines and APIs. You must possess deep expertise in infrastructure, SRE, or production engineering, with proficiency in Python, Go, Kubernetes, and cloud platforms like AWS, GCP, or Azure. This role solves the challenge of scaling IT operations by replacing manual processes with production-grade, autonomous software systems.

What does a Software Engineering Manager earn in California?

Median $281300 from 43 postings across 15 companies.

See salary data

What you'll do

  • Architect and ship agentic AI systems using LLM-based agents, RAG, and orchestration frameworks for enterprise IT domains.
  • Design and deploy autonomous AI agents to execute complex, multi-step enterprise workflows with human-in-the-loop controls.
  • Engineer robust integration and automation platforms spanning ServiceNow, ERP, procurement systems, and endpoint-management platforms.
  • Set engineering standards by co-authoring production code, conducting rigorous code reviews, and driving system design for critical components.
  • Recruit, develop, and retain top-tier engineering talent while building a high-performing team culture grounded in engineering excellence.
  • Define and execute a multi-quarter technical roadmap for automation tied to quantifiable business outcomes like cost reduction and SLA improvement.
  • Drive disciplined execution through project prioritization, milestone tracking, capacity planning, and maintaining engineering velocity.

What we're looking for

  • Bachelor's or Master's degree in a related field, or equivalent experience.
  • Hands-on software engineering experience in Infrastructure, SRE, DevOps, or Production Engineering.
  • 5+ years of experience leading engineering teams, including hiring, growing, and managing IT engineers.
  • Deep expertise in designing and shipping production software systems, integrations, automation platforms, and data pipelines for enterprise scale.
  • Track record of modernizing enterprise IT operations and deploying agentic AI into production with measurable business outcomes.
  • Production-grade proficiency with infrastructure-as-code, CI/CD, Kubernetes, and cloud platforms like AWS, GCP, or Azure.
  • Fluency in Python, Go, or equivalent languages to architect, write, and review production-quality code.
  • Executive-level communication skills to translate complex technical capabilities into quantifiable business value for VP/C-level audiences.

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