Mechanical Engineer - Data Center Infrastructure

About the Role

This position involves shaping the mechanical foundation for cutting-edge AI infrastructure on a global scale, based in Ireland. As a Mechanical Engineer specializing in data centers, you will offer vital engineering expertise throughout data center site acquisition, development phases, and construction preparedness.

Key Responsibilities

• Lead mechanical engineering assessments for prospective data center locations, including colocation and custom build projects.
• Perform technical due diligence focusing on cooling capabilities, mechanical systems, equipment viability, and readiness for infrastructure deployment.
• Evaluate various cooling techniques such as liquid cooling, air cooling, hybrid options, chiller plants, and CRAH/CRAC systems specifically tailored for AI and large-scale hyperscale workloads.
• Provide informed technical guidance and contribute to decision-making processes regarding mechanical feasibility, project risks, and operational necessities.
• Develop mechanical assumptions related to capacity planning, budgeting, scheduling, and risk management strategies.
• Collaborate with engineering teams to define cooling system architectures, equipment selection, redundancy planning, and necessary design specifications.
• Review BMS controls integration, oversee commissioning processes, assess equipment availability, and consider supplier limitations.
• Maintain the integrity of mechanical design objectives and technical requirements from acquisition through construction completion.
• Create standards, evaluation models, and repeatable processes to support reliable infrastructure assessments and technical readiness.
• Work closely with internal stakeholders, consulting engineers, suppliers, and commissioning teams to ensure seamless project execution.

Candidate Profile

• A minimum of 8 years of experience in mechanical engineering with focus on data centers, MEP design, or mission-critical environments.
• Expertise in cooling system design, including topologies involving liquid cooling, chiller plants, and CRAH/CRAC units.
• Proven experience conducting mechanical feasibility studies for data center projects prior to investment commitments.
• Comprehensive understanding of mechanical capacity planning, equipment choices, redundancy configurations, and capital expenditure considerations.
• Preferred experience working with hyperscale data center infrastructures, AI-focused facilities, or large-scale technology environments.
• Familiarity with building management systems (BMS) integration and mechanical commissioning protocols.
• Experience in colocation or custom-built data center infrastructure due diligence is advantageous.
• A bachelor's degree in Mechanical Engineering or a comparable field, or equivalent work experience.
• Strong communication skills with capability to clearly present complex engineering topics to executives.
• Ability to efficiently handle multiple priorities, work independently, and collaborate effectively in a dynamic, fast-paced setting.
• Possession of professional credentials such as a Professional Engineer (PE) license is beneficial.

Benefits and Work Environment

• Attractive and competitive salary offering.
• Flexible, remote-first work culture providing autonomy and personal ownership over projects.
• Opportunities for career progression and continuous professional development.
• Engagement with impactful projects in large-scale AI infrastructure worldwide.
• Culturally diverse and collaborative international engineering teams.
• Influence in defining standards, procedures, and technical frameworks for future infrastructure ventures.
• An innovative atmosphere grounded in trust, ownership, and meaningful contributions.

Additional Information

This recruitment process utilizes an AI-assisted matching platform that ensures your application is rapidly and fairly assessed against role requirements, facilitating a direct shortlist for the hiring company. Final interview arrangements and hiring decisions are conducted internally by the employer.

Applicants should be aware that submitting their applications involves data processing under applicable data protection regulations, including GDPR. Artificial intelligence tools may support parts of the evaluation but do not replace human decision making.