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.
What You Will Be Doing:
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.
What We Need To See:
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.
Ways To Stand Out From The Crowd:
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.
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most intelligent and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 248,000 USD - 391,000 USD.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- Bachelor’s or Master’s degree in a related technical field, or equivalent experience
- 12+ years of experience in related fields
- 5+ years of engineering management experience
- Experience crafting and managing critically important infrastructure
- Knowledge of distributed systems architecture
- Knowledge of networking technologies and protocols
- Deep experience with Linux operating systems
- Experience with container platforms and technologies
- 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
- Experience guiding intricate modernization projects
- Strong communication skills for translating technical topics to senior leadership
- Ability to attract, champion, and retain high-achieving teams
- 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
- Experience implementing AI-assisted infrastructure operations
- Track record of reducing operational toil through engineering and automation
- Experience leading globally distributed teams supporting critical infrastructure
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
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