Solutions Architect Intern

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 Solutions Architect Intern to work with us to enable and accelerate AI research on the NVIDIA platform. Your playgrounds will be the world’s fastest AI supercomputers. Solutions Architects are the primary technical contacts for our customers and engage deeply with scientific researchers and application developers to drive the adoption of NVIDIA technology. We seek an individual that combines an intricate understanding of modern AI research workloads with expertise in accelerated computing and architecture.

We are looking for a PhD student who is willing to do a 4 – 6 months long internship abroad.

The successful candidate will move to Bologna, Italy to work alongside mentors based there.

What you will be doing:

• Support interactions with end-users in 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
• Identify specific use cases and develop tailored recipes or playbooks to support state-of-the-art research with NVIDIA frameworks (e.g. accelerated data curation pipeline, or accelerated video data loading pipeline, etc.)
• Work with the SA team towards massive scaling of AI trainings on HPC clusters, providing end-users example use-cases to follow 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

What we need to see:

• Pursuing a Ph.D. degree in a STEM related field
• 2-year work or research experience in High-Performance Computing or Deep Learning
• Fluent in English and French both oral and written
• 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
• Experience with DL frameworks, multi-GPU computing, Generative AI

Ways to stand out from the crowd:

• Passion for accelerated computing
• Experience with at least one among Large Language Models (LLM), Multimodal Language Models (MLM), Video Processing, Foundation Models (FM)
• Experience with massive dataset preparation and pre-processing
• Experience working with supercomputers at scale
• Skilled at profiling, analyzing AI training runs

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.

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