Nvidia Senior Enterprise Solution Engineer 

China, Beijing, Beijing 

784515787

What you'll be doing:

• Taking ownership of and driving customer issues related to NVIDIA AI Enterprise software and hardware deployments, both internally and at Cloud Service Providers (CSPs), from inception through to resolution.

• Develop features and tools as part of solution engineering efforts to support all Enterprise Service offerings including, but not limited to NGC, 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.

• Strong computer science concepts and excellent knowledge of Python and scripting methodologies.

• Deep understanding of at least two of the following: data centers, servers, distributed systems, virtualization, deep learning frameworks,containers/containerization(ie Docker, Kubernetes), hybrid cloud (ie AWS, GCP).

• Proven grasp of datacenter, cloud, and Artificial Intelligence technologies to provide comprehensive solutions for sophisticated installations, maintenance, or operations.

• Professional-level communication skills, interpersonal skills with a passion to solve problems.

• A self-starter with a passion for solving problems, intellectual curiosity, positive approach, flexibility, analytical ability, self-motivation, and a team-oriented attitude.

Ways to stand out from the crowd:

• Experience working with distributed systems especially container orchestrators.

• Experience as a developer and/or support team member addressing customer concerns for large enterprise/service provider customers at a company that produces AI and data analytics software.

• Proven experience in developing, triaging and debugging on Linux and Containers and deep learning frameworks.

• Background in developing or debugging AI and data analytics software.

• Certified in CSP (Azure, AWS, GCP or OCI) or Hypervisor (Citrix, Nutanix, Red Hat or VMware) Technologies.

• Experience with PyTorch, TensorFlow or AI Frameworks