Senior Solutions Architect, Telco and CDNs

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world.

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 inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

Passionate about crafting the future of content delivery powered by AI across the globe? We want a Senior Solutions Architect who can unite Generative AI infrastructure with Content Delivery Networks (CDNs) such as Cloudflare and Akamai. This job focuses on developing advanced architectures that optimize AI workloads for edge and distributed settings. It ensures low-latency and high-performance delivery of AI-enabled experiences.

You will accelerate inference at the edge and integrate GPU platforms with CDN networks, assisting customers in building intelligent, scalable solutions that redefine content and AI interaction worldwide. We seek a motivated, hardworking, and inventive individual to support major initiatives in the CDN sector. The role centers on NVIDIA's Enterprise Platforms, GPUs, networking, and software stacks, with emphasis on platform solutions such as MLOps, Dev Ops, Kubernetes, and containers.

You will become a trusted technical guide and leader to customers who believe accelerated computing, deep learning, complex data science, and AI represent the future of computing.

• As part of our North America Telco & CDN Solutions Architecture Team, working to drive NVIDIA technology adoption and secure build wins at key Fortune 500 customers in both Data Center, Edge, and Cloud Deployments.
• Promoting the use of NVIDIA's Accelerated Compute Platforms that incorporate technologies such as virtualization, Kubernetes, Docker, and Run:
  
  AI. The role emphasizes expanding customers' Dev Ops and MLOps skills by applying NVIDIA's advanced architectures, solutions, and blueprints to build top-tier computing platforms.
• Leading customer proofs-of-concept (PoCs) of next-gen platforms for deploying Retail Industry solutions to key use-cases.
• Supporting the business development team through the sales process for GPU/Network hardware/software products. Owning the technical relationship and enabling customers to build innovative solutions based on NVIDIA technologies.
• Joining forces with NVIDIA Engineering, Product, and Sales departments to contribute to solution development and share customer feedback that facilitates the progress and growth of NVIDIA's products.

• MSc or PhD in Engineering, Mathematics, Physics, or Computer Science (or equivalent experience)
• 8+ years delivering Enterprise Accelerated Computing Infrastructure (HPC, Deep Learning, Machine Learning).
• Show comprehensive industry expertise in Content Delivery Networks along with experience in contemporary datacenters for enterprise computing architectures – Storage, Compute, and Software stacks.
• Experience working with enterprise developers and the academic research community supporting computer vision, data analytics, or Deep Learning deployments.
• Enjoy collaborating with teams across the organization, such as Engineering/Research, Sales, Product, and Marketing.
• Effective verbal/written communication and technical presentation skills. Able to think creatively to debug and solve complex problems.
• Self-starter with a passion for growth and an enthusiasm for continuous learning and sharing findings across the team.

• Experience in architecting large-scale edge and compute clusters.
• Specialty skills in deploying large-scale GPU computing clusters to support AI workloads (Machine Learning, Deep Learning - Training and Inference).
• Experience building and refining AI Content Delivery Networks, including…