• Develop telecommunications infrastructure standards for Rowan data centers. • Design and review ISP and OSP telecommunications systems, including conduit pathways, duct banks, handholes, vaults, and fiber distribution networks. • Define fiber backbone architectures, route diversity requirements, and capacity planning strategies. • Support Carrier Entrance Facilities (CEF), Building Entry Facilities (BEF), Meet-Me Rooms (MMR), Main Distribution Frames (MDF), and Intermediate Distribution Frames (IDF) design and standards. • Coordinate telecommunications requirements across campus and building infrastructure. • Develop and maintain structured cabling standards for fiber optic and copper infrastructure. • Review telecommunications room layouts, rack elevations, pathways, and cable routing designs. • Support fiber allocation planning, patching strategies, labeling standards, and cable management practices. • Coordinate carrier access requirements, dark fiber connectivity, lit services, and interconnection strategies. • Review of customer telecommunications requirements and Owner Project Requirements (OPRs). • Support telecommunications commissioning activities, including fiber testing, OTDR validation, certification review, and turnover documentation. • Review telecommunications submittals, RFIs, shop drawings, and construction documents for compliance with Rowan standards. • Support the design and implementation of IT and OT network infrastructure within Rowan data centers. • Coordinate network requirements for Building Management Systems (BMS) and related operational technologies. • Assist with network topology development, IP addressing strategies, resiliency requirements, and infrastructure standards. • Review network equipment layouts, rack elevations, and telecommunications infrastructure requirements to ensure alignment with overall facility design. • Coordinate with network engineers, controls vendors, and operations teams during design, construction, commissioning, and turnover activities.

• Perform detailed civil and OSP design work, including underground conduit pathway layout • Trenching and duct bank design • Manhole and handhole placement • Utility coordination within public ROW • Develop and maintain plan and profile drawings, alignments, and surfaces using Civil 3D • Apply client-specific standards, templates, and engineering criteria to all design deliverables • Coordinate with project managers, survey teams, and designers to resolve design inputs and constraints • Incorporate municipal, DOT, and permitting feedback into revised design packages • Perform formal QA/QC reviews of civil and OSP design packages produced internally or by third-party designers • Verify compliance with client standards and design criteria, local jurisdictional requirements, and applicable industry codes and practices • Identify design inconsistencies, missing information, or constructability concerns • Document clear, actionable QC comments using Bluebeam and structured comment logs • Confirm resolution of QC comments prior to submittal • Support Project Managers by tracking design review cycles, revisions, and submittal readiness • Maintain QC checklists and contribute to continuous improvement of design quality processes • Identify recurring design issues and recommend upstream corrections or standards updates • Utilize digital workflow tools (e.g., Smartsheet, trackers, dashboards) to maintain visibility into design status and workload

Role Description Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves: - Design original computational engineering problems that simulate real engineering workflows; - Create problems requiring Python programming to solve engineering calculations and simulations; - Ensure problems are computationally intensive and require numerical methods or iterative solutions; - Develop problems involving system design, optimization, and analysis; - Base problems on real research challenges or practical applications from engineering practice; - Verify solutions using Python with standard engineering libraries; - Document problem statements clearly and provide verified correct answers. Qualifications - Degree in Mechanical Engineering or related fields; - Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; - 2+ years of professional experience: applied, research, or teaching experience is applicable; - Understanding of practical engineering constraints and approximations; - Strong written English (C1+); - Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage. Requirements - This opportunity is a good fit for engineers with experience in Python open to part-time, non-permanent projects. Benefits - For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. - On this project, contributors can earn up to $14 per hour equivalent, depending on their level and pace of contribution. - Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Role Description Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. While each project involves unique tasks, contributors may: - Design original computational engineering problems that simulate real engineering workflows; - Create problems requiring Python programming to solve engineering calculations and simulations; - Ensure problems are computationally intensive and require numerical methods or iterative solutions; - Develop problems involving system design, optimization, and analysis; - Base problems on real research challenges or practical applications from engineering practice; - Verify solutions using Python with standard engineering libraries; - Document problem statements clearly and provide verified correct answers. Qualifications - Degree in Mechanical Engineering or related fields; - Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; - 2+ years of professional experience: applied, research, or teaching experience is applicable; - Understanding of practical engineering constraints and approximations; - Strong written English (C1+); - Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage. Requirements This opportunity is a good fit for engineers with experience in Python open to part-time, non-permanent projects. Benefits - For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active; - Contributors can earn up to $17 per hour equivalent, depending on their level and pace of contribution; - Compensation varies across projects depending on scope, complexity, and required expertise. Other projects on the platform may offer different earning levels based on their requirements.