Senior Field Application Engineer

Details

We are now looking for a Field Applications Engineer! NVIDIA’s deep learning platforms have already made a major impact on the field and is broadly used across leading academic institutions, start-ups, and industry, including the world’s largest Internet companies. We need passionate, hardworking, and creative people to help us continue to bring groundbreaking enterprise solutions to the world. This Field Applications Engineering role is for a specialist in system design, networking and leader to our customers who believe that deep learning, data science, and artificial intelligence is a new computing revolution and has the potential to transform the industry.

Responsibilities

• 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 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.

Requirements

• 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
• Networking knowledge -- TCP/IP, RDMA, RoCE, NICs, Switches, etc.
• C/C++ and Python programming skills.
• Embedded Linux System, APIs and similar embedded OS knowledge.
• Experience working with OEMs in the industrial, military, and ruggedized computing space.
• CPU Architecture knowledge.