Collaborating with your peers across various engineering groups, you will successfully launch new NVIDIA AI Supercomputing Platforms to production. These purpose-built systems bring together the full power of NVIDIA GPUs, NVIDIA NVLink and NVIDIA InfinBand networking. With its end-to-end performance and flexibility, NVIDIA HGX and DGX enable researchers and scientists to combine simulation, data analytics, and AI to drive scientific progress. This product family represents the company’s fastest growing line of business as well as its largest total available market opportunity. We are looking for a product engineer with system architecture and GPU technology knowledge to support new GPU hardware in mass production. Your responsibilities will include planning and establishing processes, defining test requirements and optimizing the production line to deliver new GPU boards. You will also be instrumental in helping the team to achieve the desired cost and quality metrics considered best-in-class.

What you will be doing:

• Collaborate with NPI teams for smooth production ramp at worldwide manufacturing sites as you continuously find opportunities for potential process improvements and collaborate with multi-functional teams to implement.

• Recommend, drive and ensure compliance to DFx requirements for robust signal integrity performance as related to layout, mechanical components, assembly procedures, etc.

• Develop and deliver test specs for system level manufacturing screens for all new products to meet the required HW coverage, quality and product requirements for various business units.

• Drive alternate components qualifications and BOM updates

• Collaborate with CM to define product assembly line, number of test stations and number of assembly fixtures, optimized for cost and throughput.

• Craft creative solutions and WARs through volume data analysis and lab experimentation to solve challenging yield and test problems seen on the production floor.

• Lead optimization and continuous improvement efforts on the production screen spec definition processes to minimize waste and meet test time, yield, DPPM requirements.

• Support customer facing and quality teams during customer escalations to understand the issue and fix gaps identified in coverage.

What we need to see:

• BS or MS degree in EE/CE or equivalent experience.

• 8+ years of relevant industry experience.

• Strong EE fundamentals. Knowledge and experience in GPU and/or CPU development, design, system architecture, as well as key technologies such as high-speed interconnects, memories (HBM, GDDR, etc.), system reliability, and server RAS features

• knowledgeable in statistics, timing analysis, and fault analysis.

• Strong communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.

• Must be able to work independently with minimal direction and drive projects in an efficient and effective manner.

Ways to stand out from the crowd:

• Prior board/system level electrical design experience.

• Mass production experience.

• Track record of continuous process improvement with a passion for tools and automation.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.