NVIDIA Corporation

Senior Staff Software Engineer

NVIDIA Corporation$200K — $322K *
US-AnywhereRemote in Santa Clara, CA
Information Technology
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Engineering, Computer Science, Mathematics, or related field, or equivalent experience
  • 12+ years in compute platform engineering focusing on automation
  • Experience designing and deploying virtualization architectures
  • In-depth knowledge of hardware technologies like SR-IOV, DPU, and GPU
  • Proven skills in application architecture evaluation for containerization
  • Strong analytical skills for defining and tracking performance metrics
  • Development experience with tools like Terraform and proficiency in Go and/or Python
  • Experience managing large-scale environments with BareMetal and thousands of VMs.

Responsibilities

  • Lead initiatives to transform IT Compute platform architecture for new service offerings
  • Define and implement metrics to measure compute platform efficiency
  • Analyze system data for capacity planning and coordinate changes with management
  • Develop tools for data collection, analysis, and visualization for various purposes
  • Collaborate with various departments to create compelling IT products and services.

Benefits

  • Innovative and dynamic work environment
  • Diverse and supportive team culture
  • Opportunities for equity
  • Chance to work with leading edge technology
  • Commitment to diversity and inclusion in the workplace.
Full Job Description
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
  • 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.


Ways To Stand Out From The Crowd:
  • 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.


#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 7, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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