We are seeking a highly motivated Lab Operations Site Supervisor in the System Products Engineering Team to be in charge of driving requirements for NVIDIA's datacenter bench and rack engineering labs, and work to manage the physical infrastructure. This newest member will collaborate with multi-functional groups to capture requirements and will work jointly with Site Services Planners to craft and implement system deployments. You will have the opportunity to help drive the innovation of our future labs that will be used by engineers to develop our next generation datacenter products.
What you'll be doing:
Work closely with system validation, hardware and software design engineers, program and project managers to maintain good understanding of the design.
Coordinate schedules with rack build project managers and prepare site to streamline the installation process.
Take ownership for the end-to-end process of Assembly and Install of servers comprised of mechanical components, custom PCBs and various electronic components; and other lab activities involving equipment move. This involves typically lab activities, heavy lifting to move the equipment.
Oversee system validation tests which would involve ability to understand schematic and rework PCBs (using the company rework techs), connect instruments like oscilloscopes and measure data.
Supervise the Debug of problems on our servers and PCBs to identify the root cause.
Collaborate with Site Services to lead all aspects of maintaining and improving the physical infrastructure in order to facilitate the deployment of systems.
Help setup and maintain the lab (work-benches and instrumentation) and ordering/shipping/receiving of lab equipment and samples.
Document and Communicate validation results and risks to the management.
Write or Modify simple test scripts for the purpose of testing a system, and run them in Windows and Linux.
Able to work independently to complete daily tasks/priorities.
Continuously look for ways to improve the design, validation testplan, tools and NVIDIA server products.
What we need to see:
Bachelor's Degree in a technical field (or equivalent experience).
2+ years equivalent experience.
Background in engineering with strong experience of lab equipment and technology, with junior management experience, seeking a new challenge in a lab environment.
Demonstrated ability in an innovative product development environment.
Strong interpersonal communication skills to engage with various partners and leadership.
Highly motivated, quick learner, adaptable to change, and interested in exploring new technologies.
Ability to navigate conflicting objectives, negotiate with suppliers, support services and solicit quotes and goals through patience and negotiation.
Meticulous with excellent prioritization skills to manage multiple tasks while driving solutions to closure with partners.
Willingness to travel occasionally within the Bay Area for site visits.
Ways to stand out from the crowd:
Effective interpersonal skills with internal customers and leadership.
Proficiency in MS Visio, MS SharePoint, and Jira.
Experience in high-tech construction project management.
Familiarity with the datacenter product ecosystem.
Outgoing personality with a proactive approach to engaging with customer engineering teams in the lab environment.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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.
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.”
