NVIDIA Corporation Hiring for Deep Learning Solution Architect at Dubai minutes ago Full Time

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Deep Learning Solution Architect

Apply locations UAE, Dubai Saudi Arabia, Remote time type Full time posted on Posted 8 Days Ago job requisition id JR1966297

NVIDIA’s deep learning platform has already made a major impact on the field and is broadly used across leading academic and governmental institutions, start-ups, and industry, including the world’s largest Internet companies. Our success has been based on laser-focused industry vertical business development, building a strong developer ecosystem and scaling out the business using a partner channel and creative marketing. We need passionate, hard-working and creative people to help us pursue more of these rare opportunities in different industries. This Solutions Architect role is for an expert trusted technical advisor and leader to our customers who believes that deep learning, data science, and artificial intelligence is a new computing revolution and has the potential to transform their businesses.

For our offices in DUBAI and SAUDI, we are now looking for Solutions Architects, AI specialists, best-in-class engineers able to engage with developers, researchers, and start-ups, in multiple, impactful Deep Learning projects and help them build and automate large GPU infrastructures. We need individuals who can enable customer productivity and develop positive relationships with our technology partners, making NVIDIA an integral part of end-user solutions.

What you’ll be doing:

• Assisting field business development in guiding the customer build/extend their GPU infrastructures for AI. 

• Help customers build their large scale projects especially LLM projects.

• Engage with customers to develop a keen understanding of their data centers and technical needs – and help integrate our GPU ecosystem in their existing environments.

• You will strategically partner with lighthouse customers and industry-specific hardware infrastructures and other solution partners targeting our computing platform.

• Be an internal champion and help improve the NVIDIA GPU systems provisioning tools and automation software for Deep Learning and HPC among the NVIDIA technical community.

What we need to see:

• MS or PhD in Engineering, Mathematics, Physics, or Computer Science (or equivalent experience).

• 3+ years of work related experience in AI and software development for Machine learning familiarity with LLM and Generative AI is highly desirable.

• Deep understanding of operating systems, computer networks, High Performance Applications and Deep Learning frameworks (Tensorflow, CNTK, Pytorch etc).

• Familiarity with resource scheduling managers (Slurm (preferred), LSF, etc).

• Demonstrated ability to script in bash and python. 

• Experience working with orchestration technologies like Kubernetes.

• Exposure to GPU Computing and CUDA programming.

• Experience working with supercomputing and technical computing customers.

• Capable of working in a rapidly changing environment without losing focus.

• Ability to multitask effectively in a dynamic environment.

• Strong analytical and problem solving skills.

• Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects.

• Excellent written and oral communications skills with the ability to effectively collaborate with management and engineering.

Ways to stand out from the crowd:

• Experience working with large GPU installations.

• Background with Large Language Models and NLP, Generative AI and Foundation Models.

• Experience with Large scale inferencing.

• Experience with NVIDIA software for cluster management and provisioning such as nvsm, dcgm and DeepOps.

• Specialty skills in large scale computing and cluster computing, datacenter design.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you’re creative and autonomous, we want to hear from you!

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