NVIDIA

1 week ago

Senior Solutions Architect, AI Infrastructure Enterprise ISVs

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 53 minutes agoStatus: Live

Job Summary

Partner with ISVs to deliver AI infrastructure solutions built on accelerated computing, guiding architecture reviews, technical deep dives, and production deployment for training, fine-tuning, inference, retrieval, and agentic AI workloads. Work with interdisciplinary teams across product, engineering, sales, developer relations, business development, and partners to design and optimize large-scale GPU clusters, orchestration, telemetry, and data center systems. Create reference architectures and technical playbooks while supporting customer engagements (up to 20%).

Location: Santa Clara, Texas, New York, Washington

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Partner with ISVs on discovery, architecture reviews, technical deep dives, POCs, benchmarks, demos, and production deployment guidance.
•Advise on the design, build-out, and optimization of accelerated AI infrastructure, including large-scale clusters.
•Support infrastructure design across compute, networking, storage, containers, observability, security, power, and data center operations.
•Drive adoption of systems monitoring, telemetry, and management tools to improve cluster utilization, reliability, performance, and workload insight.
•Build repeatable reference architectures, deployment guides, sizing guidance, benchmark reports, technical playbooks, demos, and whitepapers.

Travel: Medium travel

Pay and Benefits

Salary: USD 184,000 - 287,500 annually

Key Requirements

•BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or a related field (or equivalent experience).
•8+ years of hands-on experience in AI infrastructure, accelerated computing, distributed systems, cloud infrastructure, high-performance computing, or machine learning platforms.
•Strong experience designing, deploying, and operating accelerated computing infrastructure at scale.
•In-depth knowledge of AI cluster orchestration, scheduling, automation, and CI/CD deployment pipelines.
•Understanding of data center networking technologies such as InfiniBand, Ethernet, and RDMA, including network configuration/performance tuning.

Experience:8+ yearsAI infrastructureAccelerated computingDistributed systemsCloud infrastructureHigh-performance computingMachine learning platforms

Education:Master's

Skills:PresentationCommunicationProblem-solvingDocumentationCollaboration

Tech Stack:AIAccelerated computingDistributed trainingInference servingModel deploymentInfiniBandEthernetRDMANetwork configurationNetwork performance tuningCluster orchestrationSchedulingAutomationCI/CDContainersObservabilityTelemetrySecurityOpenMPINCCL

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

1 week ago

Senior Solutions Architect, AI Infrastructure Enterprise ISVs

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 53 minutes agoStatus: Live

Job Summary

Location: Santa Clara, Texas, New York, Washington

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Partner with ISVs on discovery, architecture reviews, technical deep dives, POCs, benchmarks, demos, and production deployment guidance.
•Advise on the design, build-out, and optimization of accelerated AI infrastructure, including large-scale clusters.
•Support infrastructure design across compute, networking, storage, containers, observability, security, power, and data center operations.
•Drive adoption of systems monitoring, telemetry, and management tools to improve cluster utilization, reliability, performance, and workload insight.
•Build repeatable reference architectures, deployment guides, sizing guidance, benchmark reports, technical playbooks, demos, and whitepapers.

Travel: Medium travel

Pay and Benefits

Salary: USD 184,000 - 287,500 annually

Key Requirements

•BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or a related field (or equivalent experience).
•8+ years of hands-on experience in AI infrastructure, accelerated computing, distributed systems, cloud infrastructure, high-performance computing, or machine learning platforms.
•Strong experience designing, deploying, and operating accelerated computing infrastructure at scale.
•In-depth knowledge of AI cluster orchestration, scheduling, automation, and CI/CD deployment pipelines.
•Understanding of data center networking technologies such as InfiniBand, Ethernet, and RDMA, including network configuration/performance tuning.

Experience:8+ yearsAI infrastructureAccelerated computingDistributed systemsCloud infrastructureHigh-performance computingMachine learning platforms

Education:Master's

Skills:PresentationCommunicationProblem-solvingDocumentationCollaboration

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