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Project Manager, AI Cluster Commissioning

Firmus
Batam, Riau Islands, Indonesia Full Time Negotiable 26 days ago

About the Job

Founded in Australia in 2019, our mission is to create the most efficient AI infrastructure by combining cutting-edge technology with a steadfast commitment to sustainability.

At Firmus, we are unique in our approach. We design, build, and operate a new class of digital infrastructure – the AI Factory. Through our model-to-grid technology approach, we have pushed the boundaries of multi-generational liquid cooling systems, energy management, AI software orchestration, and construction. Fo...

Our large-scale GPU cloud platform, Firmus AI Cloud, is purpose-built to deliver energy-efficient AI compute at scale to customers.

Key Responsibilities

Manage the deployment and commissioning of large-scale AI clusters including compute, network, storage systems, integration with power and cooling systems, bring-up, component and system testing, benchmarking, and acceptance testing.
Manage internal teams as well as vendors and partners responsible for hardware deployment, executing defined test plans, remediation work, and acceptance testing.
Coordinate closely with infrastructure teams to ensure readiness of power, cooling, and network connectivity prior to and during commissioning.
Ensure commissioning follows the defined processes and executes the planned schedule for successful and on-time delivery of the project.
Success in this role is measured by delivery of fully commissioned AI clusters meeting performance, reliability, schedule, safety, and operational acceptance requirements.
Manage relationships with suppliers, contractors, partners, and internal stakeholders delivering various technical work packages.
Review and manage project schedules, Statements of Work (SOWs), resource plans, and deliverables.
Monitor vendor performance against schedule, budget, quality, safety, and contractual requirements.
Coordinate activities across multiple teams and resolve dependencies, conflicts, and execution risks.
Ensure supplier deliverables meet project objectives, technical requirements, and operational readiness standards.
Develop and maintain integrated project schedules for AI cluster deployment and commissioning activities.
Identify project risks, dependencies, and constraints and implement mitigation strategies.
Lead issue management, escalation processes, and recovery planning when required.
Monitor project progress against key milestones and coordinate corrective actions where necessary.
Provide regular reporting, forecasts, and status updates to senior leadership and stakeholders.
Support project budget tracking, forecasting, scope management, and change control processes.
Ensure project documentation is maintained, organized, and communicated appropriately throughout the project lifecycle.

Required Skills & Abilities

Bachelor's Degree in Engineering, Computer Science, Information Technology, Project Management, Construction Management, or a related discipline.
5+ years of project management experience delivering large-scale IT, cloud, data center, HPC, AI, hyperscale infrastructure, or critical facilities projects.
Experience managing complex projects involving multiple internal teams, vendors, contractors, and technology partners.
Demonstrated experience developing and managing project schedules, risks, dependencies, and stakeholder communications.
Strong understanding of data center infrastructure, including compute, network, storage, power, cooling, and supporting systems.
Experience coordinating commissioning, testing, validation, acceptance, or operational readiness activities.
Strong communication, stakeholder management, and problem-solving skills.
Ability to manage competing priorities and deliver projects in fast-paced, high-growth environments.
Experience with commissioning of data centers, critical infrastructure, or complex technology systems.
PMP, PRINCE2, Agile Project Management, or equivalent project management certification.

 
Full-time
 
 
 

Qualifications

Education: Bachelor

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