Senior Manager, Software Engineering - Agentic IT Operations

Details

NVIDIA is 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. The role focuses on transforming enterprise IT operations from manual, reactive workflows into fully automated, AI-driven platforms that scale with NVIDIA's growth.

Responsibilities

• Architect and ship agentic AI systems using LLM-based agents, tool calling, RAG, and orchestration frameworks for production-grade AI-assisted operations across employee support, endpoint services, and IT support operations.
• Design and deploy autonomous AI agents that execute complex, multi-step enterprise workflows, including approvals, vendor handoffs, cross-system data reconciliation, and exception handling with human-in-the-loop controls.
• Engineer integration and automation platforms spanning ServiceNow, ERP and procurement systems, and endpoint-management platforms.
• Own the full-stack infrastructure, data pipelines, APIs, and user-facing applications.
• Set engineering standards through hands-on technical leadership, production coding, rigorous code reviews, and system design for critical components.
• Recruit, develop, and retain engineering talent while building a culture of engineering excellence, ownership, and continuous delivery.
• Define and execute a multi-quarter technical roadmap for automation and agentic operations across enterprise IT, tied to measurable business outcomes such as cost reduction, throughput, SLA improvement, and headcount avoidance.
• Drive project prioritization, milestone tracking, capacity planning, and on-time delivery.
• Own talent strategy, including hiring pipelines, performance calibration, and career development.

Requirements

• Bachelor's or Master's degree in a related field, or equivalent experience.
• 10+ years of hands-on software engineering experience, with deep expertise in at least one of Infrastructure, SRE, DevOps, or Production Engineering.
• 5+ years leading engineering teams, including hiring, developing, and managing IT engineers.
• Experience building engineering teams from zero and scaling them in a high-growth, high-ambiguity environment.
• Deep expertise designing and shipping production software systems, including integrations, automation platforms, and data pipelines for complex enterprise operations at scale.
• Experience modernizing enterprise IT operations platforms, such as asset management, endpoint services, IT supply chain, and infrastructure operations.
• Experience deploying agentic AI into production, including multi-step autonomous execution, human-in-the-loop safeguards, exception handling, governance frameworks, and measurable business outcomes.
• Production-grade proficiency with infrastructure as code, CI/CD, Kubernetes, and at least one cloud platform: AWS, GCP, or Azure.
• Experience with monitoring and observability tools such as Prometheus, Grafana, Datadog, PagerDuty, or similar.
• Fluency in Python, Go, or equivalent programming languages, with the ability to architect, write, and review production-quality code.
• Executive-level communication skills and the ability to influence technical direction across engineering, product, and senior leadership.
• Ability to translate complex technical capabilities into quantifiable business value and present to VP and C-level audiences.

Compensation and Benefits

The base salary range is $248,000-$391,000 USD, determined by location, experience, and the pay of employees in similar positions. The role also includes eligibility for equity and benefits.

Applications will be accepted at least until September 1, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.