Nvidia Senior Signal Integrity Solutions Architect 

United States, Texas 

582829893

What you’ll be doing:

• Be a technical specialist on GPU and networking products directly supporting sales account managers, working closely with the team to secure design wins.

• Actively establish the technical relationship with our customer’s engineers, management, and architects at focus accounts.

• Identify customer architectures and key product requirements in the CSP/OEM AI market.

• Provide onsite support to solve problems in hardware and software, and deep learning inference.

• Lead the support of the product through the design-in phase all the way to the product end of life.

• Create technical solutions such as hardware & software demos and example system designs.

• Provide technical and sales training to the direct sales team and channel partners.

• Establish strong relationships and communication channels with internal teams.

What we need to see:

• BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience).

• 8+ years of work-related experience in the high-tech electronics industry in a system design role or technical customer support role.

• Capable of working in a constantly evolving environment without losing focus.

• Ability to multitask effectively in a dynamic environment.

• Expert analytical and problem-solving skills.

• Strong time-management and organization skills for coordinating multiple initiatives, priorities, and implementations of new technology and products into very complex projects.

• Strong written and oral communication skills in English with the ability to effectively collaborate with management and engineering.

Ways to stand out from the crowd:

• ARM and NVIDIA GPU development

• Hands-on troubleshooting of Ethernet physical layer issues, including signal integrity and link training failures.

• Embedded Linux System, APIs and similar embedded OS knowledge.

• Experience working with OEMs in the industrial, military, and ruggedized computing space.

• CPU and PCIe Architecture knowledge