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Senior Solutions Architect, Industry Customer Success and Partnership – NVIS

NVIDIA logo

Location
Taiwan
NVIDIA

Job Description

NVIDIA is the world leader in computer graphics, artificial intelligence, and accelerated computing. For over 25 years, we have been at the forefront of research and engineering around the greatest advances in technology. Our history of innovation drives us to solve the worlds hardest problems.

NVIDIA is looking for Senior Industry SA/Customer Success/Partnership Solutions Architect to join its NVIDIA Infrastructure Specialist Team. Academic and commercial groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI/HPC systems in the world! We are looking for someone with the ability to work on a dynamic customer focused team that requires excellent interpersonal skills. This role will be interacting with customers, partners and internal teams, to analyze, define and implement large scale Networking projects. The scope of these efforts includes a combination of Networking, System Design and Automation and being the face to the customer!

What you'll be doing:

  • Engage with NVIDIA Cloud Partners (NCP) to drive initiatives, shape new business opportunities, and cultivate collaborations in the field of Artificial Intelligence (AI), contributing to the advancement of our cloud solutions.

  • Identify and pursue new business opportunities for NVIDIA products and technology solutions in datacenters and artificial intelligence applications, closely collaborating with Engineering, Product Management, and Sales teams.

  • Serve as a technical specialist for GPU and networking products, collaborating closely with sales account managers to secure design wins and actively engaging with customer engineers, management, and architects at key accounts.

  • Conduct regular technical customer meetings to discuss project and product roadmaps, features, and introduce new technology solutions.

  • Develop custom product demonstrations and Proof of Concepts (POCs) addressing critical business needs, supporting sales efforts.

  • Strong technical presentation skills in English, confidence in developing Proofs-of-Concept, and a customer-focused mentality, coupled with good organization skills, a logical approach to problem-solving and effective time management for handling concurrent requests.

  • Manage technical project aspects of complex data center deployments, including design-in opportunities and responding to RFP/RFI proposals.

  • Worldwide travel is required for on-site visits with customers.

What we need to see:

  • BS/MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields with at least 8 years work or research experience in networking fundamentals, TCP/IP stack, and data center architecture.

  • Ideal candidate possesses 8+ years of Solution Architect or similar Sales Engineering experience, demonstrating motivation and skills to drive the technical pre-sales process.

  • Deep expertise in datacenter engineering, GPU, networking, including a solid understanding of network topologies, server and storage architecture.

  • Proficiency in system-level aspects, encompassing Operating Systems, Linux kernel drivers, GPUs, NICs, and hardware architecture.

  • Demonstrated expertise in cloud orchestration software and job schedulers, including platforms like Kubernetes, Docker Swarm, and HPC-specific schedulers such as Slurm.

  • Familiarity with cloud-native technologies and their integration with traditional infrastructure is essential.

Ways to stand out from the crowd:

  • Knowledge in InfiniBand and Artificial Intelligence infrastructure.

  • Demonstrated hands-on experience with NVIDIA systems/SDKs (e.g., CUDA), NVIDIA Networking technologies (e.g., DPU, RoCE, InfiniBand), ARM CPU solutions, coupled with proficiency in C/C++ programming, parallel programming, and GPU development.

  • Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center compute/network/storage deployments.

  • Large scale systems management experience.

  • Experience with Python programming and AI workflow development and deployment (training/inference) would be advantageous.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Advice from our career coach

In my experience, to stand out as an applicant for the Senior Industry SA/Customer Success/Partnership Solutions Architect role at NVIDIA, you should possess a blend of technical expertise and strong interpersonal skills to engage with customers and partners effectively. Some key tips to help you stand out include:

  • Highlight your experience in networking fundamentals, TCP/IP stack, and data center architecture, as well as a solid understanding of network topologies, server and storage architecture.
  • Demonstrate deep expertise in GPU, networking, and cloud orchestration software, showcasing your proficiency in system-level aspects and knowledge of cloud-native technologies.
  • Showcase your hands-on experience with NVIDIA systems/SDKs, NVIDIA Networking technologies, ARM CPU solutions, and proficiency in C/C++ programming, parallel programming, and GPU development.
  • Emphasize your knowledge of DevOps/MLOps technologies, large scale systems management, experience with Python programming, and AI workflow development and deployment.
  • Additionally, familiarity with InfiniBand and Artificial Intelligence infrastructure, as well as experience with Docker/containers, Kubernetes, and data center compute/network/storage deployments, can be advantageous in setting you apart from other applicants.

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