NVIDIA

4 weeks ago

Senior AI Compute Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Join the NVIDIA Infrastructure Specialists (NVIS) team to deploy, manage, and optimize AI infrastructure for large-scale AI factory projects. You’ll serve as the domain expert during customer planning and implementation, deliver handover documentation and knowledge transfers, and provide actionable feedback to internal teams while collaborating with customers, partners, and engineers on cutting-edge data-center AI solutions.

Location: Italy, Germany

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Deploy, manage, and maintain AI infrastructure for new and existing customers.
•Be the domain expert with customers during planning calls through implementation.
•Handover-related documentation and perform knowledge transfers required to support customers as they begin rolling out some of the most sophisticated systems in the world.
•Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements.
•Collaborate with customers, partners and internal teams to analyze, define, and implement large-scale AI Factory projects.

Key Requirements

•Bachelor’s degree in computer science, Electrical Engineering, or a related field, or equivalent experience.
•8+ years providing in-depth support and deployment services in data centers, solving problems for hardware and software products.
•Knowledge and experience with Linux Operating System, administration, process management, package management, task scheduling, kernel management, boot procedures/troubleshooting, performance reporting/optimization/logging.
•Knowledge and experience with Data center network products and protocols.
•Knowledge and experience with Data center monitoring solutions.

Experience:8+ yearsData centersInfrastructureAIAI factory

Education:Bachelor's

Skills:LinuxKubernetesScriptingAutomationGPUAI hardware

Certifications:NVIDIA Certification

Languages:English

Tech Stack:LinuxKubernetesGPUsAI infrastructureData center networksMonitoring

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

4 weeks ago

Senior AI Compute Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Italy, Germany

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Deploy, manage, and maintain AI infrastructure for new and existing customers.
•Be the domain expert with customers during planning calls through implementation.
•Handover-related documentation and perform knowledge transfers required to support customers as they begin rolling out some of the most sophisticated systems in the world.
•Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements.
•Collaborate with customers, partners and internal teams to analyze, define, and implement large-scale AI Factory projects.

Key Requirements

•Bachelor’s degree in computer science, Electrical Engineering, or a related field, or equivalent experience.
•8+ years providing in-depth support and deployment services in data centers, solving problems for hardware and software products.
•Knowledge and experience with Linux Operating System, administration, process management, package management, task scheduling, kernel management, boot procedures/troubleshooting, performance reporting/optimization/logging.
•Knowledge and experience with Data center network products and protocols.
•Knowledge and experience with Data center monitoring solutions.

Experience:8+ yearsData centersInfrastructureAIAI factory

Education:Bachelor's

Skills:LinuxKubernetesScriptingAutomationGPUAI hardware

Certifications:NVIDIA Certification

Languages:English

Tech Stack:LinuxKubernetesGPUsAI infrastructureData center networksMonitoring

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