Applied Science Research Lab Manager

NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI, scientific computing, and quantum computing is transforming the world's largest industries and profoundly impacting society.NVIDIA is looking for a lab manager to join our scientific computing organization. In this role, you will build, manage, and maintain innovative next generation clusters in an R&D environment to create next-generation technology. You will be responsible for provisioning state of the art software and hardware platforms, and working together with strategic technology partners as well as NVIDIA researchers to enable scientific breakthroughs in exciting new domains.What you will be doing:

Lead a team that is responsible for planning, building and provisioning complex next generation supercomputers in an active research environment.

Work closely with research, engineering and architecture teams to understand and plan clusters for validating and testing new technology solutions.

Manage relationships with strategic technology partners.

Manage daily operation and support within our applied research lab.

Perform troubleshooting - network, operating system and user software.

Build, expand, and mentor the team to address growing demands and requirements.

Innovate! Influence NVIDIA and partner technologies based on learnings within the lab.

What we need to see:

A degree in Computer Science, Engineering, or a related field (or equivalent experience).

5+ years of managerial experience.

10+ years of relevant overall professional experience.

Dedication to maximizing system up-time / user-productivity with innovative and timely solutions for addressing issues with preproduction or first gen HW and SW at the bleeding edge.

Experience in Data center management from a multidisciplinary company or research center, including handling power, cooling, space, and user environments.

Deep understanding of operating systems, computer networks, and high-performance hardware and software in scientific computing.

Deep knowledge of distributed resource scheduling systems and orchestration tools such as Slurm, K8s.

Strong organizational and project management skills, comfortable with multitasking in a dynamic environment with shifting priorities and changing requirements.

Ways to stand out from the crowd:

Knowledge of HPC and AI solution technologies from CPU’s and GPU’s to high-speed interconnects and supporting software

Familiarity with CUDA and managing GPU-accelerated computing systems

Background with datacenter requirements for quantum technologies

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!The base salary range is 248,000 USD - 442,750 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 (https://www.nvidia.com/en-us/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.