NVIDIA

3 months ago

Senior Solutions Architect, GPU Performance and LLM - Cloud Service Providers

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Senior Solutions Architect at NVIDIA helping customers design and deploy AI/ML and HPC software solutions at scale. You will lead technical engagements with strategic clients, demonstrate NVIDIA technologies, and guide PoCs and cloud integrations across hyperscalers, focusing on performance tuning and large-scale AI workloads.

Location: Santa Clara, Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Develop and demonstrate solutions based on NVIDIA software and hardware technologies for strategic customers.
•Partner with Sales Account Managers and Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions.
•Act as the main technical point of contact for customers developing AI infrastructure, including performance aspects for large-scale LLM training and inference.
•Lead regular technical meetings with customers for project details, feature discussions, performance advice, and debugging sessions.
•Collaborate with customers to build PoCs and support cloud service integration for NVIDIA technology on hyperscalers, and analyze performance issues.

Pay and Benefits

Salary: USD 184,000 - 356,500 annually

Key Requirements

•BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
•8+ years of engineering (performance/system/solution) experience.
•Hands-on experience building performance benchmarks for data center systems, including large scale AI training and inference.
•Understanding of systems architecture including AI accelerators and networking as it relates to the performance of an overall application.
•Effective engineering program management with the capability of balancing multiple tasks.

Experience:8+ yearsAIHPCCloudGPU

Education:PhD / Doctorate in Electrical/Computer Engineering

Skills:CommunicationPresentationProblem-solvingCollaboration

Tech Stack:PyTorchJAXTritonXLATensorRTNemoNCCLRAPIDSAWSGCPAzureOCIDockerKubernetesGPUPerformance tuningBenchmarkingCloud servicesData center deployments

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

3 months ago

Senior Solutions Architect, GPU Performance and LLM - Cloud Service Providers

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Location: Santa Clara, Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Develop and demonstrate solutions based on NVIDIA software and hardware technologies for strategic customers.
•Partner with Sales Account Managers and Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions.
•Act as the main technical point of contact for customers developing AI infrastructure, including performance aspects for large-scale LLM training and inference.
•Lead regular technical meetings with customers for project details, feature discussions, performance advice, and debugging sessions.
•Collaborate with customers to build PoCs and support cloud service integration for NVIDIA technology on hyperscalers, and analyze performance issues.

Pay and Benefits

Salary: USD 184,000 - 356,500 annually

Key Requirements

•BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
•8+ years of engineering (performance/system/solution) experience.
•Hands-on experience building performance benchmarks for data center systems, including large scale AI training and inference.
•Understanding of systems architecture including AI accelerators and networking as it relates to the performance of an overall application.
•Effective engineering program management with the capability of balancing multiple tasks.

Experience:8+ yearsAIHPCCloudGPU

Education:PhD / Doctorate in Electrical/Computer Engineering

Skills:CommunicationPresentationProblem-solvingCollaboration

Tech Stack:PyTorchJAXTritonXLATensorRTNemoNCCLRAPIDSAWSGCPAzureOCIDockerKubernetesGPUPerformance tuningBenchmarkingCloud servicesData center deployments

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor