NVIDIA has been redefining computer graphics and accelerated computing for 30 years. Hiring the most creative minds and making sure that groundbreaking innovations 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 AI Solutions Architects to join NVIDIA’s effort to support academic and enterprises in using NVIDIA products to deploy generative AI, Agentic AI and data analytics. Your playgrounds will be the world’s fastest AI factories! Solutions Architects are the primary technical contacts for our customers and requires excellent interpersonal skills. For this role, we seek individuals that combines an intricate understanding of state-of-the-art AI applications with expertise in accelerated computing and architecture at scale.
What you will be doing:
Be an inspiring leader on integrating NVIDIA technology into IT infrastructures focusing on performance at scale.
Work with business managers to thoughtfully craft the vision, actionable and effective strategies for the customer.
Become an expert and enable developers to adopt NVIDIA Generative AI platform for their enterprise applications and services.
Encourage industry executives and leaders by articulating the business value from the state of the art in Generative and Agentic AI for their business.
Interact with end-users, data scientists and developers, understand their goals and needs, define and deliver high-value solutions that meet these needs.
Identify gaps and propose/develop prototypical solutions.
Closely partner with other Solutions Architects, engineering, product and business teams at NVIDIA to build GenAI full stack solutions for industry vertical and enterprise use cases.
What we need to see:
MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience).
5+ years of hands-on experience with Deep Learning frameworks such as PyTorch and TensorFlow and Transformer-based models.
Experience with Large Language Models (LLM) training and fine-tuning.
Experience with DL frameworks, training multi-node, fine-tuning and deploying Generative AI and foundation models.
Passion for accelerated computing.
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); fluent in English both oral and written.
Ways to stand out from the crowd:
Experience with data curation pipeline at scale, data formats, filtering, cleaning.
Experience applying AI in specific verticals, like FSI, Healthcare or Energy.
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.
As a Solution Architect, there is travel involved, 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. You’re empowered to figure out how to get the job done and do what it takes to make our customers successful.
NVIDIA is at the forefront of breakthroughs in Artificial Intelligence, High-Performance Computing, and Visualization. Our teams are composed of driven, innovative professionals dedicated to pushing the boundaries of technology. We offer highly competitive salaries, an extensive benefits package, and a work environment that promotes diversity, inclusion, and flexibility. As an equal opportunity employer, we are committed to fostering a supportive and empowering workplace for all.
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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.”
