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Solutions Architect Intern, GenAI - 2025

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NVIDIA

5d ago

  • Internship
    Full-time
    Summer Internship
  • Data
    Engineering
  • Bristol

AI generated summary

  • You should be pursuing a MS or PhD in a relevant field, have experience with DL frameworks and Generative AI, and possess strong analytical, collaboration, and communication skills.
  • You will identify use cases, develop tailored notebooks, interact with users to understand needs, and assist in scaling AI and HPC workloads on supercomputers with the SA team.

Requirements

  • Currently pursuing a MS or PhD in Computer Science, Engineering, or related field
  • Experience with DL frameworks, multi-GPU computing, Generative AI
  • Action oriented with strong analytical skills
  • Self-motivated, independent, ability to work independently with minimal day-to-day direction
  • Strong collaboration and social skills, ability to communicate effectively with customers, fluent in English both oral and written

Responsibilities

  • Identify specific use cases and develop tailored recipes and notebooks to support innovative application development with NVIDIA frameworks and tools
  • Support interactions with end-users in industry and/or academia on GenAI, develop a keen understanding of their goals and needs, support the SA team to define and deliver high-value solutions that meet these needs
  • Work with SA team and customers to scale AI and HPC workloads on supercomputers

FAQs

What is the job title for this internship position?

The job title is Solutions Architect Intern, GenAI - 2025.

What qualifications are needed to apply for this internship?

Candidates should be currently pursuing a MS or PhD in Computer Science, Engineering, or a related field.

Which technologies or frameworks should applicants be familiar with?

Applicants should have experience with deep learning frameworks, multi-GPU computing, and Generative AI.

What are the primary responsibilities of the Solutions Architect Intern?

Responsibilities include identifying use cases, developing tailored recipes and notebooks, supporting customer interactions, and working with the SA team to scale AI and HPC workloads.

What skills are essential for a successful candidate?

Essential skills include strong analytical abilities, self-motivation, independence, collaboration, and effective communication skills in English.

What additional experience will help candidates stand out?

Candidates will stand out with experience in accelerated computing, knowledge of Large Language Models, massive dataset preparation, working with supercomputers, and profiling AI training runs.

Is this internship position based in a specific location?

The position is part of NVIDIA's European team, but specific location details are not provided in the job description.

What is NVIDIA's stance on diversity and equal opportunity?

NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer, not discriminating on various protected characteristics.

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.