Colossus Cloud Platform Datacenter Engineer

NVIDIA•Us, CA

7d•$256,000 - $414,000•Onsite

About The Position

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA is at the forefront of technological innovation, continuously reinventing itself to develop the future of AI and computing. We are looking for a dedicated individual to join our team as an IPP Cloud Data Center Platform Development Operations Program Manager in Santa Clara, CA. This outstanding opportunity will allow you to play a pivotal role in driving the global scale expansion of our infrastructure, supporting next-generation AI and GPU platforms. As a Principal Developer Operations Lead, you will take charge of centralized operational leadership, advancing infrastructure coordination, and strategic capacity planning throughout our growing infrastructure footprint. You will engage closely with engineering, facilities, GTM, operations, deployment, and executive collaborators to guarantee seamless delivery and alignment across all initiatives. Your contributions will directly impact the success of NVIDIA's rapidly evolving AI infrastructure ecosystem!

Requirements

15+ years of experience in infrastructure operations, developer operations, technical operations, program management, or large-scale infrastructure planning environments.
Bachelors degree or equivalent experience.
Proven experience supporting data center, AI infrastructure, GPU deployment, or high-performance computing ecosystems.
Strong understanding of liquid cooling systems, power and space planning, infrastructure operations, DC capacity planning and forecasting, GPU infrastructure deployment lifecycle, portfolio management, operational readiness, and infrastructure dependency management.
Experience managing collaboration across engineering, facilities, operations, deployment, and executive leadership groups.
Strong executive communication, analytical, and operational problem-solving skills.
Ability to operate effectively in rapidly scaling and highly matrixed environments.

Nice To Haves

Strong operational leadership instincts with a bias toward execution.
Ability to simplify complex infrastructure challenges into scalable operational strategies.
Comfortable navigating ambiguity and evolving organizational priorities.
Proven ability to build alignment across multiple collaborator groups and competing operational priorities.
Experience supporting global infrastructure expansion initiatives at scale.

Responsibilities

Drive centralized operational coordination across global Data Center and Super Lab infrastructure initiatives.
Support infrastructure planning and execution across a rapidly growing portfolio of AI/GPU infrastructure sites.
Improve infrastructure forecasting, portfolio visibility, dependency management, and operational readiness processes.
Partner with cross-functional organizations to align infrastructure capacity, deployment priorities, and execution timelines.
Develop executive-level operational reporting, infrastructure dashboards, hotspot analysis, and portfolio readiness metrics.
Support strategic data center capacity planning initiatives across power, liquid cooling, and space allocation requirements.
Coordinate operational readiness activities supporting infrastructure build-outs, site readiness, and launch execution.
Identify process gaps, operational bottlenecks, and scaling challenges associated with global infrastructure growth.
Improve prioritization rigor and ensure alignment in carrying out tasks across multiple collaborator organizations.
Facilitate operational alignment between infrastructure demand, deployment schedules, and site readiness constraints.