NVIDIA
Senior Solutions Architect, HPC Systems Engineer
Join NVIDIA in a role that drives the deployment of large‑scale, AI‑enabled GPU and network system solutions in customer data centers.
What You Will Be Doing
Work with NVIDIA AI Native, Consumer Internet, and Enterprise customers on large data center GPU server and networking system deployments as a Solution Architect Engineer.
Guide customer discussions on network design, compute/storage, and bring‑up of server/network/cluster deployments; visit data centers during launch phases.
Demonstrate subject‑matter expertise in advanced GPU & network systems and serve as a trusted technical advisor to strategic customers.
Identify new project opportunities for NVIDIA products in data center and AI applications; collaborate closely with GPU/Network Systems Engineering, Product Management, and Sales.
Conduct regular technical customer meetings for product roadmap, cluster issue debugging, feature discussions, and introduction to new technologies.
Build custom product demonstrations and POCs to address critical customer business needs.
Analyze and debug compute/network configuration and performance issues to deliver performant clusters.
Travel 20% of the time on-site to customers and industry events; open to remote work locations.
What We Need To See
BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or equivalent experience.
8+ years of Systems/Solution Engineering (or similar) experience.
System‑level expertise of CPU/GPU server architecture, NICs, Linux, system software and kernel drivers.
Experience with networking switches for Ethernet/Infiniband and data‑center infrastructure (power/cooling).
Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes.
Strong time‑management and the ability to balance multiple tasks.
Excellent verbal and written communication skills, and the ability to present ideas and code clearly.
Ways To Stand Out From The Crowd
External customer‑facing background.
Experience with bring‑up and deployment of large clusters.
Systems engineering, coding, and debugging skills, including C/C++, Linux kernel and drivers.
Hands‑on experience with NVIDIA GPU systems/SDKs (e.g., CUDA), NVIDIA Networking technologies (e.g., NICs, RoCE, InfiniBand), and/or ARM CPU solutions.
Familiarity with virtualization technology concepts.
Compensation & Benefits
Base salary: $184,000 – $287,500 USD, determined by location and experience.
Equity and comprehensive benefits package.
EEO Statement NVIDIA is committed to fostering a diverse work environment and is proud to be an equal‑opportunity employer. We do 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.
Application Deadline Applications will be accepted until July 29, 2025.
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What You Will Be Doing
Work with NVIDIA AI Native, Consumer Internet, and Enterprise customers on large data center GPU server and networking system deployments as a Solution Architect Engineer.
Guide customer discussions on network design, compute/storage, and bring‑up of server/network/cluster deployments; visit data centers during launch phases.
Demonstrate subject‑matter expertise in advanced GPU & network systems and serve as a trusted technical advisor to strategic customers.
Identify new project opportunities for NVIDIA products in data center and AI applications; collaborate closely with GPU/Network Systems Engineering, Product Management, and Sales.
Conduct regular technical customer meetings for product roadmap, cluster issue debugging, feature discussions, and introduction to new technologies.
Build custom product demonstrations and POCs to address critical customer business needs.
Analyze and debug compute/network configuration and performance issues to deliver performant clusters.
Travel 20% of the time on-site to customers and industry events; open to remote work locations.
What We Need To See
BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or equivalent experience.
8+ years of Systems/Solution Engineering (or similar) experience.
System‑level expertise of CPU/GPU server architecture, NICs, Linux, system software and kernel drivers.
Experience with networking switches for Ethernet/Infiniband and data‑center infrastructure (power/cooling).
Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes.
Strong time‑management and the ability to balance multiple tasks.
Excellent verbal and written communication skills, and the ability to present ideas and code clearly.
Ways To Stand Out From The Crowd
External customer‑facing background.
Experience with bring‑up and deployment of large clusters.
Systems engineering, coding, and debugging skills, including C/C++, Linux kernel and drivers.
Hands‑on experience with NVIDIA GPU systems/SDKs (e.g., CUDA), NVIDIA Networking technologies (e.g., NICs, RoCE, InfiniBand), and/or ARM CPU solutions.
Familiarity with virtualization technology concepts.
Compensation & Benefits
Base salary: $184,000 – $287,500 USD, determined by location and experience.
Equity and comprehensive benefits package.
EEO Statement NVIDIA is committed to fostering a diverse work environment and is proud to be an equal‑opportunity employer. We do 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.
Application Deadline Applications will be accepted until July 29, 2025.
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