We are now looking for a Datacenter Product Engineer! NVIDIA Corporation is a world leader in visual computing technology. The GPU, which the company invented, serves as the visual cortex of modern computers and is at the heart of their products and services. NVIDIA has transformed into a specialized platform company that targets four large markets – Gaming, Professional Visualization, Datacenter and Automotive – where visual computing is essential and deeply valued. Their work also uncovers new universes to explore and enable outstanding creativity and discovery by powering what was once thought to be science fiction inventions like artificial intelligence and autonomous cars.
Collaborating with your peers across various engineering groups, you will optimally launch new systems for NVIDIA HGX GPU Accelerated Server Platforms to production. These purpose-built systems are optimized for the growing Deep Learning, Artificial Intelligence, and Analytics environments. With world-class technology enabling never-been-seen-before performance levels, NVIDIA’s HGX portfolio is arguably the most complicated systems platform ever developed by humans. This product family represents the company’s fastest growing line of business as well as its largest total available market opportunity. You will bring to bear your knowledge of system architectures and GPU technology in order to productize new GPU boards for datacenter architectures with GPU-accelerated clusters. 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 outstanding.
This position will be based out of Houston, Texas.
What you will be doing:
Use your in-depth experience with high speed networks and signals to plan and develop new diagnostic tests and debug procedures for next gen products
Use your knowledge of system power-up and handshakes during boot to debug complex interactions between HW, FW and SW on faulty boards
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.
We collaborate with CM to define product assembly line, number of test stations and number of assembly fixtures, optimized for cost and efficiency.
Craft creative solutions and WARs through volume data analysis and lab experimentation to solve meaningful yield and test problems.
We 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 partner concerns 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.
5+ years of meaningful industry experience.
Strong EE fundamentals, knowledgeable in digital design, signal integrity, statistics, timing analysis, fault analysis, sampling and computer architecture.
Ways to stand out from the crowd:
Prior board/system level electrical design experience.
Experience with Perl, C/C++, Windows, and Linux.
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.Top Skills
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.”
