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Senior Super Computing Solutions Architect
Senior Super Computing Solutions Architect-May 2024
Remote
May 16, 2026
ABOUT NVIDIA
NVIDIA is a computing platform company, innovating at the intersection of graphics, HPC, and AI.
10,000+ employees
Technology
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About Senior Super Computing Solutions Architect

  Join NVIDIA, a global tech powerhouse world-class for its innovation and dynamic work environment. We're seeking highly motivated and creative individuals to join our Solution Architect team in France, contributing to the groundbreaking fields of accelerated computing in general, and artificial intelligence in particular. As a Solutions Architect, you will play a key role in supporting all technical aspects of sales engagements. Your primary focus will be on NVIDIA's GPU and networking portfolio, collaborating closely with strategic cloud service providers, Super Computing Centers, and enterprise datacenter customers. This is a unique opportunity to drive end-to-end technology solutions and provide valuable field feedback to shape our product strategy. You will be responsible for bringing new HPC and Artificial Intelligence (AI) hardware and software technologies into production. Your expertise Data Center technologies will be instrumental in integrating our solutions with key customers. As a member of the NVIDIA Solution Architecture organization, you'll not only work with some of our most strategic technology clients but also offer crucial insights to both business and engineering teams. If you are passionate about technology, self-motivated, and eager to make a significant impact, we invite you to be part of our forward-thinking team. This position offers an extraordinary opportunity to contribute at various levels and be a key player in shaping the future of NVIDIA's solutions. Apply now and be a part of the excitement at NVIDIA!

  What you'll be doing:

  Promote the NVIDIA Computing ecosystem to the academic HPC and AI communities.

  Collaborate with supercomputing, higher education, and research customers, influencing research initiatives as well as new business opportunities, and fostering academic collaborations in the realm of HPC and Artificial Intelligence (AI).

  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 and strengthening customer relationships.

  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.

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

  What we need to see:

  BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.

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

  Deep expertise in High Performance Computing, 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.

  Strong technical presentation skills, 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.

  Proactive with strong analytical skills.

  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

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

  Education research, European Commission or other Government funded research experience would be welcomed.

  NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous computer scientist with a genuine passion for parallel computing? If so, we want to hear from you. Come, join our AI Compute DevTech team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field. 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.

  NVIDIA is a Learning Machine

  NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society.

  Learn more about NVIDIA .

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