Senior Solutions Architect, Supercomputing

Posted 5 Days Ago
Be an Early Applicant
3 Locations
In-Office or Remote
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead the integration of NVIDIA technology into IT architectures, managing technical aspects of datacenter solutions, and supporting sales engagements in supercomputing.
Summary Generated by Built In

NVIDIA has been redefining computer graphics and accelerated computing for 30 years. Hiring the most creative minds and making sure that groundbreaking research can be accelerated through NVIDIA's platform have been key to this outstanding legacy of technological innovation. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. 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 encouraged to do their best work and make a lasting impact on the world!

We are looking for a Senior Solutions Architect based in the UK to join our EMEA supercomputing industry team. As a Solutions Architect, you play a key role in supporting all technical aspects of sales and customer engagements. You will work with national supercomputing centers, cloud providers, and OEM partners to deliver complete solutions and shape product strategy. Your expertise in datacenter technologies will help integrate HPC and AI innovations with key customers while providing valuable insights to both business and engineering teams.

What you will be doing:

  • Be an inspiring leader on integrating NVIDIA technology into IT architectures to support scientific and engineering applications

  • Conduct regular technical customer meetings to discuss projects, present product portfolio and roadmaps, and deliver technical training

  • Manage technical aspects of complex datacenter solutions and deployments, including design-in opportunities and responding to RFP/RFI proposals, and interact with NVIDIA OEM partners to understand their product roadmap and positioning using NVIDIA technology

  • Interact with end-users in academia and industry, develop a keen understanding of their goals and needs, define and deliver high-value solutions that meet these needs

  • Communicate customer requirements to NVIDIA Engineering to foster product improvements

What we need to see:

  • Passion for HPC and AI

  • A postgraduate degree in a STEM related discipline or equivalent experience

  • 5 years in the technical pre-sales of datacenter solutions

  • Significant expertise in complex system architecture and network topologies, GPU computing, parallel filesystems, cluster operations, workload schedulers, datacenter engineering, etc.

  • Action oriented with strong analytical skills, good organization skills to work in a heavily multi-tasked environment, self-motivated to work independently with minimal day-to-day direction

  • Strong collaboration and social skills, ability to communicate effectively with customers and across organizations (Engineering, Sales, Support), fluent in English both oral and written

Ways to stand out from the crowd:

  • Experience with NVIDIA software platforms for HPC and AI like CUDA, DOCA, NeMo, NIM, etc.

  • Knowledge of InfiniBand, DevOps and MLOps technologies, AI Factory infrastructureOutstanding verbal and written communication skills, and an enthusiastic presentation style
  • Experience working on EuroHPC-class procurements, benchmarks, performance analysis and projections

As a Solution Architect, there is travel involved (about 30% of the qorkload), as often the best way to figure things out is a face-to-face meeting, but the job isn’t life on the road. We make heavy use of conferencing tools too. You’re empowered to figure out how get the job done and do what it takes to make our customers successful.

Top Skills

AI
Cuda
DevOps
Doca
Hpc
Infiniband
Mlops
Nemo
Nim
Nvidia Technology
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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