NVIDIA Corporation

Senior Systems Software Engineer, Kubernetes Scale - DGX Cloud

NVIDIA Corporation$184K — $356K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of experience in Computer Architecture, Networking, Storage systems, and Accelerators
  • Bachelor's/Master's in Engineering, preferably in Electrical Engineering, Computer Engineering, or Computer Science
  • Expertise in Kubernetes and familiarity with related CNCF projects
  • Experience with large scale parallel and distributed accelerator-based systems
  • Skilled in optimizing performance and AI workloads on large scale systems
  • Proficient in Golang/Python
  • Familiarity with NVIDIA software ecosystem for training and inference
  • Experience with public CSP infrastructure (GCP, AWS, Azure, OCI)

Responsibilities

  • Drive performance and scale characterization for NVIDIA DGX Cloud software stack
  • Collaborate with AI teams to create innovative automated tests for real user workloads
  • Investigate performance issues in complex distributed systems and resolve root causes
  • Design monitoring and analysis tools for performance testing across GPU and CPU resources
  • Debug and root cause issues for ultra-large scale Kubernetes clusters
  • Maintain a framework for continuous performance testing via CI/CD pipeline
  • Document findings and present research at community conferences
  • Engage with upstream communities to validate AI workloads performance

Benefits

  • Eligible for equity
  • Remote work option available
  • Access to NVIDIA's AI tools in recruiting process
  • Opportunities to present at conferences like KubeCon and GTC
Full Job Description
We are looking for an outstanding Senior Systems Software Engineer with deep experience in distributed systems, open-source technologies such as Kubernetes and containers, and a strong background in systems performance and scalability. The ideal candidate brings broad, end-to-end experience across the stack - from GPU operator and device plugins to distributed inference serving and cloud platforms - along with the technical depth to investigate and address exciting, real-world problems at scale. In this pivotal role, you will take on the challenge of scaling AI infrastructure while optimizing total cost of ownership, driving down cost per token to unlock the next generation of AI innovation and AI factories! What you'll be doing:
  • Drive end-to-end performance and scale characterization for the NVIDIA DGX Cloud software stack, from Kubernetes control and data planes through NVIDIA components such as GPU Operator, Network Operator, DCGM, NIM, and distributed inference serving, following issues from orchestration down to the metal.
  • Collaborate with AI researchers, developers and customers to develop innovative, automated tests that simulate real user workloads using custom-built and leading open-source tools and frameworks.
  • Deep dive into performance and scale issues in complex distributed systems, including interactions between Kubernetes and the NVIDIA software stack, to identify and resolve root causes.
  • Design and develop monitoring, reporting and analysis tools for performance and scale testing across software, GPU and CPU resources.
  • Triage, debug and root cause issues related to operating Kubernetes clusters at ultra-large scale, ensuring reliability and efficiency.
  • Build and maintain a high-velocity framework that enables continuous, always-on performance and scale testing via a modern CI/CD pipeline.
  • Document research, methodologies and results clearly and concisely, and present findings at internal and external venues, including community conferences such as KubeCon and GTC.
  • Engage efficiently with upstream communities - including Kubernetes, CNCF and NVIDIA open-source projects - to validate performance and scalability of AI workloads early and help shape design and development decisions.
What we need to see:
  • 8+ years of experience Computer Architecture, Networking, Storage systems, Accelerators and Bachelors/Masters in Engineering (preferably, Electrical Engineering, Computer Engineering, or Computer Science) or equivalent experience
  • Expertise in Kubernetes and familiarity with related CNCF projects
  • Background in working with large scale parallel and distributed accelerator-based systems
  • Expertise optimizing performance and AI workloads on large scale systems
  • Experience with performance modeling and benchmarking at scale
  • Proficiency in Golang/Python
  • Background with the NVIDIA software ecosystem in both training and inference domains
  • Expertise with at least one of public CSP infrastructure (GCP, AWS, Azure, OCI for example)
Ways to stand out from the crowd:
  • Strong operational experience with any one of the Kubernetes distributions
  • Prior experience scaling Kubernetes clusters to ultra-large node and object counts
  • Demonstrated history of working in the open-source community
  • Excellent communication and interpersonal abilities
  • PhD in relevant areas
#LI-Remote Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until June 28, 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

Similar Jobs

More Jobs at NVIDIA Corporation

More Information Technology Jobs

Find similar Senior Systems Software Engineer, Kubernetes Scale - DGX Cloud jobs: