AI Factory Customer Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Bridge customers and Armada’s Product and Engineering teams by translating real-world AI infrastructure requirements into actionable, scalable, end-to-end solution designs. Provide hands-on guidance for modular and liquid-cooled data centers and GPU-based systems, influence workload design and deployment tradeoffs, and enable sales with clear, outcome-focused narratives in a fast-moving, global environment.

Location: Australia

Workplace: Remote

Employment Type: Full time

Job Function: Manufacturing & Production Operations

Key Responsibilities

•Serve as the primary technical partner between customers and Armada’s Product and Engineering teams, translating real-world requirements into actionable designs.
•Provide hands-on technical guidance on AI Factory solutions, including modular and liquid-cooled data centers and NVIDIA-based GPU systems.
•Advise customers on workload suitability, rack-level design, system architecture, and deployment tradeoffs.
•Lead technical demos, proofs-of-concept, and working sessions tailored to customer environments and constraints.
•Build trusted-advisor relationships with engineering, infrastructure, IT, OT, and security stakeholders.

Key Requirements

•Bachelor's degree in Engineering, Computer Science, or related field (or equivalent hands-on experience); advanced degrees a plus
•5+ years of experience in data center engineering, infrastructure engineering, pre-sales/sales engineering, or solution architecture
•Strong foundation in compute, networking, and storage, including GPU-based AI systems (e.g., NVIDIA DGX, HGX, MGX)
•Hands-on experience with data center infrastructure, including MEP systems, cooling architectures, and rack-level design
•Deep familiarity with modular and/or liquid-cooled data center architectures, power density, and thermal management

Experience:5+ yearsAI infrastructureEdge computingData centerIndustrial

Education:Bachelor's

Skills:CommunicationLeadershipProblem-solvingCollaborationPresentation

Languages:English

Tech Stack:NVIDIA DGXHGXMGXGPUData center infrastructureKubernetesDockerVMwareCloudContainerization

Company Brief

Armada

Builds software tools for developing, testing, and operating autonomous vehicle systems, including simulation, perception, and fleet orchestration components to accelerate safe deployment of self-driving vehicles and robotics applications.

Industry: Robotics

Website

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Armada

3 months ago

AI Factory Customer Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: Australia

Workplace: Remote

Employment Type: Full time

Job Function: Manufacturing & Production Operations

Key Responsibilities

•Serve as the primary technical partner between customers and Armada’s Product and Engineering teams, translating real-world requirements into actionable designs.
•Provide hands-on technical guidance on AI Factory solutions, including modular and liquid-cooled data centers and NVIDIA-based GPU systems.
•Advise customers on workload suitability, rack-level design, system architecture, and deployment tradeoffs.
•Lead technical demos, proofs-of-concept, and working sessions tailored to customer environments and constraints.
•Build trusted-advisor relationships with engineering, infrastructure, IT, OT, and security stakeholders.

Key Requirements

•Bachelor's degree in Engineering, Computer Science, or related field (or equivalent hands-on experience); advanced degrees a plus
•5+ years of experience in data center engineering, infrastructure engineering, pre-sales/sales engineering, or solution architecture
•Strong foundation in compute, networking, and storage, including GPU-based AI systems (e.g., NVIDIA DGX, HGX, MGX)
•Hands-on experience with data center infrastructure, including MEP systems, cooling architectures, and rack-level design
•Deep familiarity with modular and/or liquid-cooled data center architectures, power density, and thermal management

Experience:5+ yearsAI infrastructureEdge computingData centerIndustrial

Education:Bachelor's

Skills:CommunicationLeadershipProblem-solvingCollaborationPresentation

Languages:English

Tech Stack:NVIDIA DGXHGXMGXGPUData center infrastructureKubernetesDockerVMwareCloudContainerization

Company Brief

Armada

Industry: Robotics

Website