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NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.
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.
Bringing independent analysis, communication, and problem-solving skills to improve the customer experience.
Authoring and incorporating technical solutions into our knowledge base.
Collaborating closely with engineering teams to detail, reproduce, resolve issues and research new use cases with GPUs.
What we need to see:
To be successful in this role, we are looking for candidates who meet the following criteria:
BS in Computer Science, Electrical Engineering, Computer Engineering, or a related field, or equivalent experience.
5+ years of experience in system software development, cloud infrastructure, and troubleshooting customer issues.
Strong understanding of computer science concepts with excellent knowledge of Python and scripting methodologies.
Proven grasp of datacenter, cloud, and Artificial Intelligence technologies to provide comprehensive solutions for sophisticated installations, maintenance, or operations.
Superb professional-level interpersonal and communication skills, essential for working closely with customers and engineers.
A self-starter with a passion for solving problems, intellectual curiosity, positive approach, flexibility, analytical ability, self-motivation, and a team-oriented attitude.
Experience with PyTorch, TensorFlow or AI Frameworks
Ways to stand out from the crowd:
While the above qualifications are essential, the following experiences will make you an exceptionally strong candidate:
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.
Experience developing with C and/or Python.
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 using Kubernetes, Docker and other cloud native technologies
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