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!
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We are looking for AI Supercomputing Solutions Architects to join our NVIDIA Infrastructure Services effort to support academic and commercial groups in using NVIDIA products to advance deep learning, data analytics and scientific simulation. Your playgrounds will be the world’s fastest AI supercomputers! Solutions Architects are the primary technical contacts for our customers and possess requires excellent interpersonal skills. For this role, we seek individuals that combines an intricate understanding of state-of-the-art AI & HPC workloads 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, 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, g room power users to be NVIDIA champions e.g. as DLI Ambassadors.
Communicate customer requirements to NVIDIA Engineering to foster product improvements.
What We Need To See
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
Ways To Stand Out From The Crowd
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.
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 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. xsgfvud 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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