NVIDIA
Senior Solutions Architect, Telco and CDNs
NVIDIA, Washington, District of Columbia, us, 20022
Senior Solutions Architect, Telco and CDNs
NVIDIA – District of Columbia, United States
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation fueled by great technology and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing—where 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.
What You’ll Be Doing
Lead the North America Telco & CDN Solutions Architecture Team to drive NVIDIA technology adoption and secure build wins at key Fortune 500 customers in Data Center, Edge, and Cloud Deployments.
Promote the use of NVIDIA’s Accelerated Compute Platforms, including virtualization, Kubernetes, Docker, and Run:AI, and expand customers’ DevOps and MLOps skills by applying NVIDIA’s advanced architectures and blueprints to build top‑tier computing platforms.
Lead customer proofs‑of‑concept (PoCs) of next‑gen platforms for Retail Industry solutions to key use‑cases.
Support 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.
Collaborate with NVIDIA Engineering, Product, and Sales departments to contribute to solution development and share customer feedback that facilitates product growth.
What We Need To See
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).
Comprehensive industry expertise in Content Delivery Networks and contemporary datacenter 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.
Ability to collaborate with cross‑functional teams such as Engineering/Research, Sales, Product, and Marketing.
Effective verbal/written communication and technical presentation skills, with creative problem‑solving ability.
Self‑starter with a passion for growth, continuous learning, and sharing findings across the team.
Ways To Stand Out From The Crowd
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 distributed inference pipelines, edge‑accelerated model serving, and low‑latency model routing strategies across global regions.
Proficiency in deploying high‑throughput inference workloads at scale using GPU‑accelerated clusters, edge nodes, and hybrid on‑prem/public‑cloud infrastructures.
Hands‑on experience with NVIDIA GPU software stacks (Triton, TensorRT, cuOpt, NIMs, etc.) for accelerating inference, caching, and model distribution across geographically distributed nodes.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. Application for this role will be accepted until December 8, 2025.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $184,000 – $287,500 for Level 4, and $224,000 – $356,500 for Level 5. You will also be eligible for equity and benefits.
NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. NVIDIA does not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.
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NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation fueled by great technology and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing—where 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.
What You’ll Be Doing
Lead the North America Telco & CDN Solutions Architecture Team to drive NVIDIA technology adoption and secure build wins at key Fortune 500 customers in Data Center, Edge, and Cloud Deployments.
Promote the use of NVIDIA’s Accelerated Compute Platforms, including virtualization, Kubernetes, Docker, and Run:AI, and expand customers’ DevOps and MLOps skills by applying NVIDIA’s advanced architectures and blueprints to build top‑tier computing platforms.
Lead customer proofs‑of‑concept (PoCs) of next‑gen platforms for Retail Industry solutions to key use‑cases.
Support 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.
Collaborate with NVIDIA Engineering, Product, and Sales departments to contribute to solution development and share customer feedback that facilitates product growth.
What We Need To See
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).
Comprehensive industry expertise in Content Delivery Networks and contemporary datacenter 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.
Ability to collaborate with cross‑functional teams such as Engineering/Research, Sales, Product, and Marketing.
Effective verbal/written communication and technical presentation skills, with creative problem‑solving ability.
Self‑starter with a passion for growth, continuous learning, and sharing findings across the team.
Ways To Stand Out From The Crowd
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 distributed inference pipelines, edge‑accelerated model serving, and low‑latency model routing strategies across global regions.
Proficiency in deploying high‑throughput inference workloads at scale using GPU‑accelerated clusters, edge nodes, and hybrid on‑prem/public‑cloud infrastructures.
Hands‑on experience with NVIDIA GPU software stacks (Triton, TensorRT, cuOpt, NIMs, etc.) for accelerating inference, caching, and model distribution across geographically distributed nodes.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. Application for this role will be accepted until December 8, 2025.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $184,000 – $287,500 for Level 4, and $224,000 – $356,500 for Level 5. You will also be eligible for equity and benefits.
NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. NVIDIA does not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.
#J-18808-Ljbffr