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Senior Solutions Architect, AI Factory

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NVIDIA

Jan 10

Applications are closed

  • Job
    Full-time
    Mid Level
  • Data
    IT & Cybersecurity
  • Madrid

Requirements

  • 3+ years of research experience in Deep Learning with a track record of scientific publications
  • Experience with Large Language Models (LLM) training and adaptation, including knowledge of floating-point arithmetic at micro-scale
  • Passion for accelerated computing
  • A graduate degree from a leading university in a STEM related field
  • Action oriented with strong analytical skills
  • Strong organization and time management skills to work in a fast-pace multi-task environment
  • Self-motivated, independent, ability to work independently with minimal day-to-day direction
  • Significant experience in High-Performance Computing or Deep Learning
  • Strong collaboration and social skills, ability to communicate effectively with customers, and across organizations (Engineering, Sales, Support)
  • Experience with DL frameworks, multi-GPU computing, Generative AI
  • Fluent in English both oral and written
  • Experience with data curation pipeline at scale, data formats, filtering, cleaning
  • Experience working with EuroHPC-class supercomputers or tier-1 clouds at scale
  • Skilled at profiling, analyzing and optimizing code
  • Understanding of HPC system architecture inc. distributed computing, networking, parallel filesystems, cluster operations, workload schedulers, etc.
  • Experience working with NVIDIA technologies inc. NVAIE, NeMo, CUDA, NIM, etc.

Responsibilities

  • Be an inspiring leader on integrating NVIDIA technology into IT infrastructures focusing on performance at scale, reliability, manageability, real-time monitoring, etc.
  • 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.
  • Identify gaps and propose/develop prototypical solutions.
  • Demonstrate accelerated computing and AI workflows, deliver trainings using NVIDIA GPUs and software for AI research, groom power users to be NVIDIA champions e.g. as DLI Ambassadors.
  • Communicate customer requirements to NVIDIA Engineering to foster product improvements.

FAQs

What is the primary focus of the Senior Solutions Architect role at NVIDIA?

The primary focus of the Senior Solutions Architect role is to support academic and commercial groups in using NVIDIA products to advance deep learning, data analytics, and scientific simulation, particularly by integrating NVIDIA technology into IT infrastructures.

What kind of experience is required for this position?

Candidates should have 3+ years of research experience in Deep Learning, a track record of scientific publications, and significant experience in High-Performance Computing or Deep Learning.

Are there specific technical skills required for this role?

Yes, candidates need experience with Large Language Models (LLM), deep learning frameworks, multi-GPU computing, and a passion for accelerated computing.

Is a graduate degree required for this position?

Yes, a graduate degree from a leading university in a STEM-related field is required.

What interpersonal skills are necessary for this role?

Strong collaboration and social skills are necessary, along with the ability to communicate effectively with customers and across organizations such as Engineering, Sales, and Support.

Is travel required for this position?

Yes, travel is involved, though the job isn’t solely life on the road. Face-to-face meetings are sometimes necessary, but conferencing tools are heavily utilized.

What initiatives might the Senior Solutions Architect lead?

The Senior Solutions Architect may lead initiatives to define and deliver high-value solutions based on the end-users' goals and needs and conduct training sessions on NVIDIA GPUs and software.

How does NVIDIA support employee development in this role?

NVIDIA empowers solution architects to figure out how to get the job done, providing opportunities for customer success through training and collaboration.

What benefits does NVIDIA offer to its employees?

NVIDIA offers highly competitive salaries, an extensive benefits package, and a work environment that promotes diversity, inclusion, and flexibility.

What kind of working environment can employees expect at NVIDIA?

Employees can expect a diverse, supportive environment where everyone is encouraged to do their best work and make a lasting impact on the world.

Manufacturing & Electronics
Industry
10,001+
Employees
1993
Founded Year

Mission & Purpose

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

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