Lead initiatives to transform IT Compute platform architecture to build new service offerings across On-Prem & Cloud.
Define and implement metrics to measure the efficiency of compute platforms & services and drive efficiency.
Collect and review system data for capacity and planning purposes, analyze capacity data and develop plans for appropriate level enterprise-wide systems, and coordinate with management personnel in implementing changes.
Develop and maintain tools for collecting, analyzing, and visualizing data for reporting, alerting, monitoring.
Collaborate with NVIDIA leadership, senior engineers, program managers, and product managers to develop compelling IT products and services that meet customer needs.

Bachelor’s degree in Engineering, Computer Science, Mathematics, or related field, or equivalent experience
12+ years of proven experience in compute platform engineering with a focus on automation.
Proven experience in designing and deploying virtualization architectures
In-depth knowledge of hardware technologies, including SR-IOV, DPU, and GPU, with a track record of implementing these in virtualized and containerized environments.
Proven experience evaluating existing application architectures and identify opportunities for containerization to improve scalability, reliability, and efficiency.
Strong analytical skills with the ability to define and track key performance metrics.
Experience in developing tools for data analysis and performance profiling, Development with Terraform, Config Management tools.
Proficiency in programming languages such as Go and/or Python.
Experience with running large environments consisting of BareMetal, large scale virtualized environments with a mix of tens of thousands of VM’s and cloud infrastructure.

Senior Staff Software Engineer

Key skills