NVIDIA

Senior Software Engineer

NVIDIA

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

Visit company website
AI Apply
Manual Apply

Salary

💰 $200,000 - $391,000 per year

Job Level

Senior

Tech Stack

AWSAzureCloudDNSGoGoogle Cloud PlatformMicroservicesPythonTerraform

About the role

  • 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.

Requirements

  • 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 ofBareMetal, large scale virtualized environments with a mix of tens of thousands of VM’s and cloud infrastructure.