Senior Manager, Compute Core Engineering

NVIDIA•Us, CA

23h

About The Position

We are seeking a Senior Manager - Compute Core Engineering to lead our Compute Core Engineering team. This opportunity is outstanding as it allows you to contribute to groundbreaking advancements in AI and computing technology, advancing NVIDIA's legacy of innovation forward. You will have the chance to work with dedicated individuals and be part of a world-class team committed to flawless execution and ambitious goals.

Requirements

Bachelor's or Master's degree in a related technical field or equivalent experience.
12+ overall years of experience in related fields, including significant technical leadership experience.
5+ years of engineering management experience.
Demonstrated experience crafting and managing critically important infrastructure.
Solid grasp of distributed systems architecture.
Solid knowledge of networking technologies and protocols.
Deep experience with Linux operating systems.
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 capability to guide intricate modernization projects.
Strong communication skills to translate technical topics for senior leadership.
Demonstrated capability to draw in, champion, and keep 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 comprehension of Linux kernel internals and improving system performance.
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 a group responsible for NVIDIA's global Compute Core Engineering Team.
Recruit, mentor, and develop technical talent, encouraging a culture of ownership, collaboration, and innovation.
Define the strategy and roadmap for infrastructure services across NVIDIA's data centers, cloud environments, and compute platforms.
Drive the transformation of traditional services into automated, self-service platforms built for reliability and scalability.
Modernize legacy infrastructure with minimal disruption.
Provide technical leadership for globally distributed services including DNS, DHCP, NTP/PTP, LDAP, and Linux infrastructure.
Establish engineering standards for performance, capacity, scalability, security, lifecycle management, and disaster recovery.
Build a culture centered around automation, operational excellence, and reducing manual work.
Champion AI-assisted operations to automate diagnostics and routine infrastructure operations.
Partner with senior engineers to introduce technologies that improve infrastructure performance and resiliency.
Lead the creation of automation platforms through Go, Python, Terraform, and GitOps approaches.
Establish metrics for service health, including availability, latency, capacity utilization, and infrastructure efficiency.
Lead incident reviews and reliability improvement programs.
Lead forecasting activities and collaborate with various teams to ensure infrastructure can handle upcoming demands.
Collaborate closely with NVIDIA leadership and internal customers to build compelling infrastructure products.