Our technology has no boundaries! NVIDIA is building the world’s most groundbreaking and pioneering computing platforms. Because of our work, scientists, researchers, and engineers can advance their ideas. At its core, our visual computing technology not only enables an outstanding computing experience, but it is also energy efficient! We pioneered a supercharged form of computing loved by the most fast-paced computer users in the world - scientists, designers, artists, and gamers. It’s not just technology, though! It is our people, some of the brightest in the world, and our company makes NVIDIA one of the most fun, innovative, and dynamic places to work! At the center of NVIDIA are our core values, like innovation, excellence, determination, and team, that guide us to be the best we can be.
What you will be doing:
Build, develop, and maintain data models, reporting systems, data automation systems, dashboards, and performance metrics that support Nvidia Infrastructure Governance Programs.
Partner and cross-collaborate with Finance, Service Owners, and Internal Infrastructure Providers to develop Infrastructure and Service Level critical metrics to match Customer satisfaction
Lead multi-year budget-based compute resource planning with engineering
Drive infrastructure resource efficiency initiatives with engineering and finance.
Lead by example, mentor the team of ICs, enabling them to deliver high-quality Systems & End User experience
Build, develop, and maintain data models, reporting systems, data automation systems, dashboards, and performance metrics that support Nvidia Infrastructure Data Engineering Governance Programs.
You will need strong collaboration and communication skills along with a solid understanding of how technical decisions impact both NVIDIA and customer business
What we need to see::
BE/BS or MS in Computer Science/Engineering or equivalent experience
8+ years of overall experience
2+ years management experience as Manager or Technical Lead
Comfortable leading discussions with upper management and have experience tailoring the level of technical details to suit the audience.
Demonstrated success leading complex software products through the full product Life Cycle (definition, development, delivery, maintenance/support, end-of-life) in Agile environment.
Experience with data visualization and presentation, familiar with data analysis tools such as Tableau, Plotly, Posit, etc
Knowledge of analytics, statistical modeling, and machine learning methodologies
The successful candidate will have a demonstrated track record of large-scale computing operations and planning, with experience in high-performance computing a plus.
International and US Gov’t experience is a plus.
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.