Technical Support Engineer – AI Cloud
Korea, Seoul
NVIDIA
NVIDIA erfindet den Grafikprozessor und fördert Fortschritte in den Bereichen KI, HPC, Gaming, kreatives Design, autonome Fahrzeuge und Robotik.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.
Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
What you'll be doing:
As a Support Solutions Engineer in NVIDIA Enterprise Experience, you'll work with Enterprise customers and internal teams to improve the availability and reliability of NVIDIA AI Enterprise products. Your main duties are:
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
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure Computer Science CX Data Analytics Docker Engineering GCP GPU Kubernetes Python PyTorch Research TensorFlow
Perks/benefits: Competitive pay
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