Nvidia Product Manager - DGX Serviceability 

United States, California 

970212989

What You'll be doing:

• Own the Serviceability aspect of the DGX product lifecycle—from development and go-to-market to obsolescence.

• Leverage strong technical background to define product requirements and user stories by channeling customer needs,solution-architecturefeedback, and cross-team input within NVIDIA; and develop a comprehensive plan that addresses product serviceability.

• Develop effective collateral—including service guides, tools and procedures for NVIDIA, partners and customers.

• Develop service labels, product component numbering, system indicators, and user interface aides

• Collaborate to improve system packaging for ease of installation and secure shipment

• Work with engineering to improve customer experience for system deployment and firmware lifecycle management

• Conduct Out Of Box Experience

What we need to see:

• Deep understanding of systems and familiarity with accelerated compute, network technologies.

• Proven experience with handling system components, building and defining the content for field procedures

• Experience with specific NVIDIA tools and ecosystems like CUDA, DCGM, UFM, etc. is highly valued

• Hands on experience with deploying operating and managing solutions in the Data Center.

• Proficiency in 3D tools, including CAD and rendering software, is essential.

• A strong desire to learn, problem-solving skills, and a demonstrated ability to make sophisticated trade-offs.

• 12+ years of total experience in technology with product management or engineering experience in high-tech, cloud, AI/ML, technologies.

• BS or MS in engineering, computer science, or another technical field (or equivalent experience). MBA is a plus.

Ways to stand out from the crowd:

• Experience in building 0-1 products.

• Recent experience in key data center technologies such as, server architectures, liquid cooling.

• Deployment and operation of systems at large scale; resilient system design; and clustering compute resources.