דרושים Solutions Architect Generative Ai ב-אנבידיה ב-United Arab Emirates, Abu Dhabi

What you’ll be doing:

• Actively promote the NVIDIA culture with partners & customers.

• Activate & enable partners through hands-on workshops and ideation.

• Expand partner’s capabilities with pre-sales support on existing and new technologies.

• Build and nurture an active community of Subject Matter Experts in the partner landscape across EMEA.

• Foster learning and development by sharing feedback, guidance and knowledge with sales and product specialists.

• Support and provide guidance to our partners. Working closely with Partner Business Managers, you’ll get pulled into many conversations with partners and customers where you’ll need to help figure out good next steps on any number of possible topics, although AI Factories to support AI, DL/ML, virtualization and how GPU enabled software bits work are the most common topics.

• Above all, be the person that partners call on when they need to get technical in crafting solutions for customers engaged in AI, DL/ML, HPC, virtualization, visualization and other areas that make use of NVIDIA technology. Backed up by the other Solutions Architects experts, the Engineering organization, and the whole of NVIDIA. Be the face and brains of NVIDIA that our partners will learn to rely on.

• Use product and integration knowledge to deliver technical sales presentations, product demonstrations, hands-on training and proof of concepts, as well as overcome objections.

What we need to see:

• 7+ years of experience and confidence in partner facing technical roles. With channel partners or with enterprise customers, an aptitude for engaging in technical conversations that solve problems is critical.

• Channel experience, with strategic advisory and partnership development.

• Excellent communication and interpersonal skills.

• Understand the full stack from AI Apps & Workflows to AI Factories. Applications, frameworks, OS, Hypervisor, server hardware, networking, storage, datacenter needs all factor into building successful solutions. Knowing how all the parts fit together is important in being able to work with partners of different skill levels and different areas of expertise. Most successful Solutions Architects have at least a BS degree in a technical field.

• Excellent presentation skills, good written and verbal English and a European 2nd Language.

• You don’t need to be a specialist in the fields of AI, DL/ML, Virtualization or Visualization to be successful, but understanding, learning, and using their tools and methods is crucially important. Wanting to be an expert in some aspect of either field is a great attribute to have.

Ways to stand out from the crowd:

• Experience with AI, DL/ML frameworks and apps, C or Python programming, shell scripting, or with hypervisors and virtualization, cloud services, and Linux are all plusses, but the key is a willingness and ability to dig into the things you don’t know to solve the problems.

• Some history of public talks, presentations and trainings, video blogs, or any other demonstration of your desire to educate, fascinate and evangelize.

• Hands-on experience with one or more NVIDIA frameworks, SDKs or platforms.

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.