NVIDIA Corporation

Senior Systems Software Engineer - Infrastructure

NVIDIA Corporation$168K — $322K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • BS in Computer Science or equivalent experience with 8+ years of relevant experience, MS with 5+ years, or Ph.D. with 3 years
  • Extensive experience in large-scale, multi-threaded, distributed backend systems
  • Experience building REST APIs using Python or Go
  • Proficient in containerization and orchestration tools (Docker, Kubernetes)
  • Familiarity with cloud infrastructure (AWS, Azure, Google Cloud)
  • Experience with telemetry stacks like Grafana, Prometheus, and Kibana
  • Strong collaborative skills in a dynamic matrix environment

Responsibilities

  • Define, build, and manage an enterprise software engineering platform for storage infrastructure
  • Design and expand REST APIs for on-demand storage management workflows
  • Build and integrate provisioning, metrics, monitoring, and software for storage services
  • Develop tooling for automation of deployment and management of large-scale storage environments
  • Document procedures, perform technology evaluations, and coordinate system installations and deployments

Benefits

  • Equity options
  • Comprehensive benefits package
  • Opportunity to work on high-impact projects
  • Access to the latest technologies for infrastructure management
  • Flexible working environment with 24/7 operational support
Full Job Description
You will design and build the next-generation architecture and software for managing storage services to support our engineers, architects with NVIDIA GPU design, VLSI, Corporate, and AI/ML teams. You will build the self-service architecture and capabilities to enable NVIDIA GPU design teams and handle services that are very critical for all NVIDIA users that require 24/7/365 availability and support. Your duties will involve leading and supporting the design of storage platform software services that not only impact revenue but also form the backbone of NVIDIA engineering infrastructure services and various business applications.

What you'll be doing:
  • Define, Build, and manage an all-encompassing Enterprise software engineering platform to manage storage infrastructure and services consisting of a variety of enterprise appliances, networks, and open-source technologies
  • Design and expand REST API's that thousands of engineers will rely on for on-demand storage management to manage their workflows.
  • Build and Integrate provisioning, metrics, monitoring, and software to enable management workflows for storage services.
  • Develop tooling to automate deployment and management of large-scale design-storage environments, to automate operational monitoring and alerting, and to enable self-service consumption of resources.
  • Document the general procedures and practices, perform technology evaluations, and coordinate and track system orders, installations and deployment.


What we need to see:
  • BS in Computer Science (or equivalent experience) with 8+ years of relevant experience, MS with 5+ years of experience or Ph.D. with 3 years of experience
  • Extensive experience building and owning large-scale, multi-threaded, distributed backend systems
  • Experience designing and building REST APIs in Python or Go
  • Background with containerization and orchestration tools (e.g., Docker, Kubernetes)
  • Experience with cloud infrastructure - AWS, Azure or Google Cloud.
  • Background with telemetry stacks, like Grafana, Prometheus monitoring, AlertManager, and Kibana
  • Strong collaborative and social skills, specifically a shown ability to effectively guide and influence within a dynamic matrix environment


Ways to stand out from the crowd:
  • Demonstrated work with Open-Source software: building, debugging, patching, and contributing code.
  • Experience with solving Linux storage-related problems
  • Experience with design, deployment, and management of Enterprise NAS solutions like NetApp, Pure Storage, Distributed filesystems like Lustre, and S3 storage.
  • Background with HPC cluster management tools such as Slurm, PBS, LSF, etc.


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 14, 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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