Senior Enterprise Solution Engineer

Responsibilities

• Develop features and tools as part of solution engineering efforts to support all Enterprise Service offerings including, but not limited to DGX, NVAIE, Container Orchestrators (such as Kubernetes), GPU accelerated applications, and Deep Learning frameworks.
• Work with NVIDIA Enterprise customers and internal users to improve the availability, reliability, and overall experience of working with NVIDIA Deep Learning Framework containers on NVIDIA GPUs.
• Take ownership and drive customer issues on containers, Deep Learning frameworks, and Cloud deployment from inception to resolution.
• Build upon the opportunity to research new use cases with GPUs for emerging container technologies and Deep Learning frameworks.
• Bring independent analysis, communication, and problem-solving to customer experience.
• Be on call one weekend per month in the event a customer has a Sev1 outage and requires engineering assistance.
• What we need to see
• BS in Computer Science, Electrical Engineering, Computer Engineering, or related field (or equivalent experience).
• At least 5 years system software development and troubleshooting experience, ideally with some customer facing.
• Intellectual curiosity, positive attitude, flexibility, analytical ability, self-motivation, and team-oriented.

Languages