NVIDIA Corporation

Senior HPC Architect, Automation and At-Scale Deployment

NVIDIA Corporation$184K — $356K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in accelerated computing for datacenter/HPC-based solutions
  • Solid understanding of accelerated computing scheduling and I/O stacks
  • Proficiency in C/C++/Python/Bash programming/scripting
  • Experience with high performance computing or deep learning in engineering or research settings
  • Familiarity with parallel filesystems
  • Strong written and verbal communication skills
  • Ability to multitask in a dynamic environment
  • Analytical with a pro-active approach to work
  • BS in Engineering, Mathematics, Physics, or Computer Science; MS or PhD preferred

Responsibilities

  • Provide engineering solutions to operationalize GPU computing products and software stacks
  • Ensure technical relationships with internal and external engineering teams
  • Assist systems and deep learning engineers with creative solutions using NVIDIA technology
  • Serve as a reference for system administration and at-scale system analysis
  • Collaborate with teams to architect and develop large-scale performance platforms

Benefits

  • Comprehensive benefits package
  • Opportunities for career growth in a dynamic and challenging environment
  • Access to cutting-edge technology and innovative projects
  • Collaborative and diverse work environment
  • Equity options available
Full Job Description
We are looking for an outstanding hands-on architect/engineer for a Senior HPC architect role to support deployment and bringup of large-scale GPU compute clusters. Be a key player to enable the most exciting computing hardware and software and contribute to the latest breakthroughs in artificial intelligence and GPU computing. Provide insights on and implement at-scale system administration and tuning mechanisms for large-scale compute runs. You will work with the latest accelerated computing and Deep Learning software and hardware platforms, and with many scientific researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. You will interact with HPC, OS, GPU compute, and systems specialist to architect, develop and bring up large scale performance platforms. What you'll be doing: • Provide engineering solutions to operationalize the latest GPU Computing products and software stacks, ensure technical relationships with internal and external engineering teams, and assisting systems, machine learning/deep learning engineers in building creative solutions based on NVIDIA technology. • Be an internal reference for system administration, at-scale system analysis, and other datacenter and large-scale GPU-accelerated system solutions among the NVIDIA technical community. What we need to see: • 8+ years of experience using in accelerated computing for datacenter/HPC-based Enterprise computing solutions. • Solid understanding of accelerated computing scheduling and I/O stacks. • C/C++/Python/Bash programming/scripting experience. • Experience working with engineering or academic research community supporting high performance computing or deep learning. • Experience with parallel filesystems. • Strong teamwork and communication skills, both verbal and written. • Ability to multitask effectively in a dynamic environment. • Action driven with strong analytical skills. • Desire to be involved in multiple diverse and innovative projects. • BS (or equivalent experience) in Engineering, Mathematics, Physics, or Computer Science. MS or PhD desirable. Ways to stand out from the crowd: • Deep Learning framework skills. • Exposure to using and deploying telemetry and visualization pipelines • Exposure to container technology and Linux performance tools. Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ We have some of the most brilliant and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, we want to hear from you. 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 July 10, 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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