HPC Operations Manager – Hardware Engineering

Posted 9 Days Ago
Be an Early Applicant
4 Locations
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The HPC Operations Manager will oversee global HPC clusters, leading a diverse team of sysadmins and devops engineers. Responsibilities include ensuring HPC cluster reliability, developing metrics, evaluating technologies, and managing program schedules while collaborating with hardware engineering teams to optimize workflows.
Summary Generated by Built In

Widely considered to be one of the technology world’s most desirable employers, NVIDIA is an industry leader with groundbreaking developments in High-Performance Computing, Artificial Intelligence and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables outstanding creativity and discovery and powers what were once science fiction inventions from artificial intelligence to autonomous cars. We are now looking for a highly motivated HPC Operations Manager to join this multifaceted and innovative infrastructure team to craft global and dynamic HPC clusters used by Nvidia’s hardware design teams. We are looking for leaders to help us grow and evolve a reliable computing environment to enable our hardware designers to build the next generation of GPUs and SOCs.

What You'll be Doing:

  • A huge part of the day-to-day job is collaborating with partners to develop programs driving around storage, networking, and compute in our growing fleet of data centers.

  • Lead, cultivate, and mentor a multi-national team of sysadmins and devops engineers, in support of the chip design teams

  • Ensure the highest reliability of HPC clusters. Develop critical metrics, program schedules to measure program health, predictability, and achievements

  • Identify failures, lead retrospective analysis, and help to develop improvement action plans. Build standard methodologies that cut through complexity and can be used across Nvidia and influence other partners for continuous improvement

  • Evaluate the latest technologies (hardware and cloud computing) and recommend future evolution of the infrastructure. Plan deployments and refresh of hardware (compute, storage, network equipment), and associated software stack (e.g. OS)

  • Work multi-functionally with hardware engineering leaders to support their future chip design needs, understand their workflow characteristics, and engineer an efficient HPC environment. Work with IT and engineering infrastructure teams on the different subsystems that comprise the computing environment.

  • Lead all aspects of the HPC scheduler (LSF), set/adjust policy, ensure delivery of forecasted compute demand to each hardware division, and drive high utilization.

  • Track software licensing servers and drive efficient license utilization

  • Develop and manage program schedules, milestones and deliverables. Adjust in the face of a highly fluid customer product roadmap.

  • Regularly communicate program status and key issues to senior management at NVIDIA’s headquarters. Accurately represent the importance of issues and call out issues appropriately. Be the evangelist of data driven project management

What We Need to See:

  • B.S. or M.S. in Computer Science, Computer Engineering, Information Science (or equivalent experience)

  • 15+ years overall

  • 5+ years managing IT infrastructure teams of 10+ people

  • 10+ years experience running Linux servers, NFS storage, and Ethernet networks

  • Knowledge of HPC schedulers (IBM LSF preferred)

  • Knowledge of hardware design workflows (EDA tools and methodology)

  • Experience using project management and capacity planning software

  • Datacenter operations (rack and stack, maintenance)

Ways to stand out from the crowd:

  • HPC storage (e.g. Netapp, Pure Storage, Lustre, ZFS, Isilon)

  • Infiniband (operations, debugging, performance tuning)

  • Software development, especially in a devops context

  • Knowledge of relational databases, data lakes, metrics/visualization/analytics platforms

  • Deploying and maintaining FlexLM-based software license servers

  • Established relationships with enterprise-level equipment suppliers

The base salary range is 272,000 USD - 425,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Top Skills

Linux
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The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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