Senior Manager, Compute Core Engineering

NVIDIA•Santa Clara, CA

9d•$248,000 - $391,000

About The Position

NVIDIA is seeking a Senior Manager to lead and expand its global Compute Core Engineering team. The role sets strategy and roadmaps for infrastructure services across data centers, cloud environments, and compute platforms, and transforms traditional services into automated, self-service platforms designed for reliability and scale. The manager provides technical leadership for globally distributed services, including DNS, DHCP, NTP/PTP, LDAP, and Linux infrastructure, while establishing engineering standards for performance, capacity, scalability, security, lifecycle management, and disaster recovery. The role builds a culture of automation and operational excellence, champions AI-assisted operations, and partners with senior engineers to improve infrastructure performance and resiliency. It leads development of automation platforms using Go, Python, Terraform, and GitOps approaches; establishes service-health metrics; leads incident reviews and reliability improvements; and oversees forecasting in collaboration with other teams. The manager also works closely with NVIDIA leadership and internal customers to develop compelling infrastructure products. The position calls for substantial technical and management experience, strong communication and team-building skills, and the ability to guide complex modernization projects. The expected base salary range is $248,000–$391,000, depending on location, experience, and other objective job-related factors. The role is also eligible for equity and benefits. Applications will be accepted at least until November 3, 2026. This posting is for an existing vacancy.

Requirements

Bachelor’s or master’s degree in a related technical field, or equivalent experience.
12+ years of overall experience in related fields, including significant technical leadership experience.
5+ years of engineering management experience.
Demonstrated experience crafting and managing critically important infrastructure.
Solid understanding of distributed-systems architecture and networking technologies and protocols.
Deep experience with Linux operating systems and experience with container platforms and technologies.
Solid experience in infrastructure automation and GitOps approaches.
Software engineering experience with Go, Python, or similar languages.
Experience using SLIs, SLOs, and performance metrics.
Experience in capacity forecasting and lifecycle oversight.
Demonstrated ability to guide intricate modernization projects.
Strong communication skills, including the ability to explain technical topics to senior leadership.
Demonstrated ability to attract, champion, and retain high-achieving teams.

Nice To Haves

Experience crafting and managing foundational infrastructure services.
Experience supporting large AI, HPC, or accelerated-computing environments.
Hands-on experience with advanced networking and infrastructure-acceleration technologies.
Deep understanding of Linux kernel internals and system-performance improvement.
Experience modernizing legacy infrastructure into self-service platforms.
Experience building engineering platforms around Terraform and GitOps, or equivalent experience.
Experience implementing AI-assisted operations for infrastructure management.
Proven track record of reducing operational toil through engineering and automation.
Experience leading globally distributed teams supporting critical infrastructure.
Ability to remain technically engaged while providing organizational leadership and strategy.

Responsibilities

Lead and expand NVIDIA’s global Compute Core Engineering team; recruit, mentor, and develop technical talent.
Define infrastructure-services strategy and roadmaps across data centers, cloud environments, and compute platforms.
Transform traditional services into automated, self-service platforms built for reliability and scalability, and modernize legacy infrastructure with minimal disruption.
Provide technical leadership for globally distributed DNS, DHCP, NTP/PTP, LDAP, and Linux infrastructure services.
Establish engineering standards for performance, capacity, scalability, security, lifecycle management, and disaster recovery.
Build a culture centered on automation and operational excellence, reduce manual work, and champion AI-assisted operations.
Partner with senior engineers to improve infrastructure performance and resiliency.
Lead the creation of automation platforms using Go, Python, Terraform, and GitOps approaches.
Establish service-health metrics, including availability, latency, capacity utilization, and infrastructure efficiency; lead incident reviews and reliability improvement programs.
Lead forecasting activities and collaborate with teams to ensure infrastructure can meet upcoming demand.
Collaborate with NVIDIA leadership and internal customers to build infrastructure products.