NVIDIA

Technology

SeniorStaffSoftwareEngineer

$200–322k Santa Clara, California, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Staff Software Engineer at NVIDIA. Skills: Compute platform architecture, Automation, Virtualization, Containerization. Lead initiatives to transform IT Compute platform architecture. Build new service offerings across On-Prem & Cloud”

Industry & Context.

Technology
Problems you'll solve

Analytical skills; Troubleshooting

What They're Looking For.

Must Have

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, 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

Nice to Have

Deep understanding of other infrastructure components like Storage, DNS, LDAP, Security Tools etc., Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, Solid understanding of microservices architecture, infrastructure as code (IaC) and configuration management tools

What You'll Do.

Lead initiatives to transform IT Compute platform architecture

Build new service offerings across On-Prem & Cloud

Define and implement metrics to measure efficiency

Drive efficiency of compute platforms & services

Collect and review system data for capacity and

Analyze capacity data

Develop plans for enterprise-wide systems

Coordinate with management personnel in implementing changes

Develop and maintain tools for collecting data

Develop and maintain tools for analyzing data

Develop and maintain tools for visualizing data for

Develop and maintain tools for visualizing data for

Develop and maintain tools for visualizing data for

Collaborate with NVIDIA leadership

Collaborate with senior engineers

Collaborate with program managers

Collaborate with product managers

Develop compelling IT products and services that meet

How You'll Work.

Team & Collaboration

NVIDIA leadership; Senior engineers; Program managers; Product managers

Full Job Description

NVIDIA has been reinventing computer graphics, PC gaming, and accelerated computing for 30 years. It is 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, generative AI, 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. We are seeking a highly skilled Senior Staff Software Engineer to join our dynamic team. Our company is at the forefront of technological innovation, and we are dedicated to driving efficiency and optimizing the performance of our infrastructure both on-prem and cloud. Join us in this exciting endeavor! **What You Will Be Doing:** * 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. **What We Need To See:** * 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 *

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