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NVIDIA is searching for an outstanding FAE with a focus on system design for enterprise computing. You will use your interpersonal skills and technical knowledge to provide design-in support for NVIDIA products in enterprise systems. You will be working multi-functionally with our organizations to ensure a positive experience for external customers. You should be comfortable working in a complex environment and have experience working with stand-alone and distributed systems.
What you’ll be doing:
Be a technical specialist on GPU computing 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 AI/HPC market.
Provide onsite support to solve problems in hardware and software.
Lead the support of the product through the design-in phase to product end of life.
Create technical solutions such as hardware & software demos and example system designs.
Provide technical and sales training to, engineering, direct sales, and customer support teams.
Establish positive relationships and communication channels with internal teams.
What we need to see:
BS or MS in Engineering, Mathematics, Physics, or Computer Science or equivalent experience
3+ years of work-related experience in 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 efficiently in a multifaceted environment.
Strong 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:
NVIDIA GPU and Networking development or support experience.
Hardware design and knowledge of PCIe, I2C, SPI, UART, USB, SATA, and ethernet.
Experience working with OEMs in the enterprise data center domain.
Datacenter networking, Virtualization, Deep Learning, and/or AI experience.
Advanced degree
You will also be eligible for equity and .
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