Senior Manager, Software Engineering - Agentic Automation

Nvidia

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$248,000–$391,000 / yr
Posted
3 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $211k
This role $320k
$143k most similar roles pay here $418k

This role pays more than 98% of similar roles. Most pay $175,500–$246,150 — the shaded band above. At the midpoint, this role pays about $320k versus about $211k for comparable roles.

Based on 240 similar postings.

Employer

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 563 open roles on FindRole.

Listed pay typically runs $168,000–$264,500 across 556 roles with salary data.

Most-posted roles

View all roles at Nvidia

At a glance

TL;DR · Senior Manager, Software Engineering - Agentic Automation

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Join NVIDIA as a Senior Software Engineering Manager and lead a team dedicated to developing scalable enterprise software and services for seamless employee experiences. You will design AI workflows using LLM-based agents and orchestration frameworks, build robust integrations across ServiceNow, identity management systems, and monitoring platforms, and provide hands-on technical guidance while co-authoring production code. Your role includes defining the multi-quarter roadmap for automation and AI-assisted operations, managing team execution with project prioritization and capacity planning, and supporting organizational activities like hiring and career development. Ideal candidates have over six years of experience leading engineering teams and twelve or more years in Infrastructure, SRE, DevOps, or Production Engineering, with expertise in infrastructure-as-code, CI/CD pipelines, Kubernetes, cloud platforms, monitoring tools, and programming languages such as Python and Go.

Skills

AWS Kubernetes GCP Azure CI/CD Python Go ServiceNow Prometheus Grafana Datadog PagerDuty

What you'll do

  • Lead team in designing and delivering high-quality, scalable enterprise solutions.
  • Design and implement AI workflows using LLM-based agents and orchestration frameworks.
  • Build robust integrations and automation pipelines across multiple platforms and tools.
  • Provide hands-on technical guidance by co-authoring and reviewing production code.
  • Define and drive the multi-quarter roadmap for automation and AI-assisted operations.
  • Plan and manage team execution, including project prioritization and milestone tracking.

What we're looking for

  • 6+ years of experience leading high-performing engineering teams.
  • Proven track record of building and scaling teams in fast-paced environments.
  • Deep expertise in infrastructure-as-code, CI/CD, containerization, and cloud platforms.
  • Strong hands-on skills with monitoring and observability tools.
  • Programming proficiency in Python, Go, or similar languages for automation.
  • Exceptional communication and influence across engineering and executive stakeholders.

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