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Senior ICT Engineer (OSP) — Outside Plant & Connectivity at Armada - ApplyBlast

Senior ICT Engineer (OSP) — Outside Plant & Connectivity

Armada

4 months ago

4.0 on Glassdoor

Remote

Full Time

Senior

3 applicants

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About this role

As a Senior ICT Engineer, you will lead the design and deployment of high-density edge GPU clusters and outside-plant infrastructure for Armada's modular AI solutions. This role involves managing fiber distribution, conduit sizing, and cross-discipline coordination with mechanical, electrical, and civil teams to ensure successful project execution. You will act as a strategic influencer and design authority, driving technical approvals and supporting high-impact campus deployments.

Responsibilities

Lead outside-plant due diligence and site assessments for new deployments
Design fiber distribution pathways and iterate based on deployment factors
Own conduit sizing decisions and pre-cabled trunk sizing calculations
Coordinate cable tray loading and bonding/grounding with electrical engineers
Oversee pre-construction submittals and technical approvals for compliance

Skills

Qualifications

BICSI RCDD CertificationANSI Standards KnowledgeBICSI CredentialsProfessional Engineer (PE) License (Preferred)

About Armada

armada.ai

Headquarters

San Francisco, California, United States

Company Size

1-10 employees

Founded

2022

View Profile

Armada builds an edge computing platform that combines connectivity, on‑site compute hardware, and real‑world AI to solve hard problems where data is generated. Its product suite includes Atlas (enterprise monitoring and management for connected assets), Galleon (ruggedized mobile data centers), Marketplace (a hub for procuring and deploying edge hardware and software), and Bridge (software that turns GPU clusters into AI factories by providing unified GPU-as-a-Service management, orchestration, and scheduling). Armada serves industries such as oil & gas, mining, manufacturing, and the public sector, helping customers improve safety, increase automation, reduce downtime, and run reliable AI workloads in remote or harsh environments.