NVIDIA Software Integration & Capacity Operations: Partner closely with internal NVIDIA SW teams to integrate and deploy DSX and other core software stacks within on-prem/infra provider environments. Lead day-to-day capacity operations with a focus on availability, maintenance, performance, resiliency and multi-tiered infrastructure workflows. This role includes the potential to scale scope by driving end-to-end capacity onboarding and operations with CSP/NCP partners as part of internal DGX Cloud (DGXC) capacity.
Cross-Team Roadmap Interception: Work across diverse NVIDIA engineering teams to understand, map, and intercept incoming technology roadmaps against physical data center readiness timelines.
Program Governance: Gather detailed requirements, build comprehensive roadmaps, and manage risks under the Product Lifecycle (PLC) framework for bare-metal capacity deployment. Leverage Jira and program management tools to instill structured execution across engineering and data center work.
Metrics, Visibility & Communication: Establish clear critical metrics to quantitatively track program velocity, infrastructure availability, and overall cluster health. Develop robust communication strategies—including turning weekly operations reviews into highly collaborative sessions.
What we need to see
8+ years of technical program management experience, specifically driving the planning and execution of cloud infrastructure programs, with a strong focus on hardware/software integration across many engineering teams.
Infrastructure Expertise: Extensive hands-on experience in cloud or on-prem enterprise infrastructure, data center bring-up, bare-metal/VM deployments, a deep understanding of hardware infrastructure and orchestration, workload management platforms.
Tooling Proficiency: Expert-level proficiency with Jira, Smartsheet, or similar program management tools, with the ability to confidently design ticket queues and guide engineering teams within an Agile/Scrum framework.
Strategic Leadership: Exceptional strategic and tactical thinking abilities, coupled with a strong capacity to build consensus, establish operational workflows, and drive program success through uncertainty.
Communication Skills: Outstanding communication, collaboration, and technical presentation skills, with a proven ability to increase meeting engagement, gather feedback, and align senior multi-functional collaborators.
BS or MS in Electrical Engineering or Computer Science, or equivalent experience.
Ways to stand out from the crowd
In-depth knowledge of NVIDIA GPU products, cluster deployment, validation testing, and high-performance computing (HPC) infrastructure bring-up. Direct experience managing dependencies between pioneering AI software stacks, foundational physical infrastructure and Infrastructure services like high performance storage. .
Experience working with accelerated deployment schedules (e.g., rapid 30-day data center rollouts) and asset-backed operational models.
Prior background establishing automated server benchmarking, burn-in execution, and infrastructure health validation workflows.
Familiarity with cloud-native architectures, managed-Kubernetes platform layers, and distributed systems.
Significant experience with AI tools, process automation,, and establishing standard operating guidelines across many technical domains.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
- Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
- 168,000 USD – 258,750 USD for Level 4; and 200,000 USD – 322,000 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 7, 2026.
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.
