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Solutions Architect for GPU Data center technologies

Company: NVIDIA Ltd.
Location: Santa Clara
Posted on: November 22, 2020

Job Description:

We are now looking for an NVIDIA Solutions Architect for GPU Data center infrastructure technologies. We are looking for a candidate with experience in GPU server, vGPU and data center technologies. As part of our Solutions Architect team in Korea, we work on GPU end-to-end full stack, driving the latest breakthrough such as deep learning, artificial intelligence and data analytics. This role offers an excellent opportunity to expand your career in the rapidly growing field of GPU accelerated computing while empowering the world's most successful companies. We need a passionate, hard-working and creative individual to help us pursue more of these opportunities in fields of GPU accelerated computing. This role requires becoming a trusted technical partner to NVIDIA's customers who wants to accelerate their business with NVIDIA accelerate computing platform. NVIDIA Solutions Architect is a specialist for NVIDIA's accelerated computing platform which consists of GPU system, SW platform and several GPU-accelerated application such as AI. This role will be the first line of technical expertise between NVIDIA and our customers. Your duties will vary from inventing proof-of-concept demonstrations, helping them successfully use NVIDIA platform, to driving relationships with key executives and managers in order to evangelize GPU-accelerated computing. Dynamically engaging with developers, scientific researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience with a range of partners and concerns. What youll be doing: - Customer engineering PIC for GPU server including DGX and IT infrastructure technologies for large-scale GPU data center. - Customer engineering PIC for GPU resource orchestrator such as vGPU, Container, Docker, K8S, etc. - Work directly with key customers to understand their technology and provide the best solutions. - Work with NVIDIA partner's engineering team to enable GPU data center business. - Perform in-depth analysis and optimization to ensure the best performance on GPU architecture systems. - Work directly with key customers to understand their technology and provide the best solutions. - Partner with Engineering, Product and Sales teams to develop, plan best suitable solutions for customers. Enable development and growth of product features through customer feedback and proof-of-concept evaluations. What we need to see: - Work experience in customer engineering team or presales engineering team with GPU, x86 server, storage, network and data center technologies. - Work experience or technical knowledge in virtualization such as VMware or Citrx and container technology such as docker, K8S, etc. - Strong domain knowledge and hands-on experience in Ubuntu Linux (preferred) or RHEL. - Hands-on experiences in several open source software on Linux. - Passion to work with multiple levels and teams across organizations (Engineering, Product, Sales and Marketing team). - Good verbal, written communication, and technical presentation skills in Korean / English. - You are a self-starter with attitude for growth, passion for continuous learning and sharing findings across the team. - Good presentation skills to the customers / public. Ways to stand out from the crowd: - Degree in Computer Science, Data Science, Electrical/Computer Engineering. - Good Programming Capability with Python, C/C++. - Good understanding in fundamental theories of Computer Science / Machine Learning / Deep Learning / Big Data. - Technical understanding and knowledge in NVIDIA GPUs, CUDA and accelerated computing platform. - Special skills in large-scale computing and cluster computing(MPI), data center design include high speed interconnect InfiniBand, Cluster Storage and Scheduling related design and/or management experience. NVIDIA is widely considered to be one of the technology worlds most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! 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. #deeplearning

Keywords: NVIDIA Ltd., Santa Clara , Solutions Architect for GPU Data center technologies, IT / Software / Systems , Santa Clara, California

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