NVIDIA
Senior Solutions Architect, Telco and CDNs
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Senior Solutions Architect, Telco and CDNs
role at
NVIDIA .
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 NVIDIA, 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
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' DevOps 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.
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).
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.
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.
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 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family
www.nvidiabenefits.com .
Applications for this job will be accepted at least until December 8, 2025.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.
JR2008865
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Senior Solutions Architect, Telco and CDNs
role at
NVIDIA .
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 NVIDIA, 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
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' DevOps 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.
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).
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.
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.
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 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family
www.nvidiabenefits.com .
Applications for this job will be accepted at least until December 8, 2025.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.
JR2008865
#J-18808-Ljbffr