> Markdown version of [/jobs/ext/4293700-hvac-cooling-technician](https://www.wearedevelopers.com/jobs/ext/4293700-hvac-cooling-technician). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # HVAC Cooling Technician - **Company:** Trane Technologies - **Location:** Carrollton, TX, United States - **Experience:** Experienced - **Salary:** $52,800.0 - $74,550.0 - **Contract:** Permanent contract - **Skills:** Adobe InDesign, Artificial Intelligence, Automation of Tests, Data Centers, Software Debugging, LabVIEW, Rapid Prototyping Process, Scripting, High Performance Computing, Hardware Testing - **Published:** October 20, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=8439fe465e78eb2f ## About the Role * Associate degree or higher in Mechanical Engineering, HVAC, Thermal Systems, or related field * 3+ years of experience in engineering lab, R&D, or hardware validation environments * Strong experience with charging, recovering, and handling of common refrigerants in a research lab * Strong experience with instrumentation, sensors, and data acquisition systems * Familiar with liquid cooling, CDUs, immersion cooling, or DTC systems (preferred) * Familiar with Data center infrastructure or high-performance computing environments * Experience in test automation, scripting, or controls systems (a plus) * Experience in fast-paced, iterative product development environments * Strong problem-solving, organizational, and communication skills * Willingness to travel up to 5% * Valid passport and driver's license * Ability to meet background check and screening requirements * EPA Section 608 certification * Welding is PLUS ## Description At Trane Technologies, you will help validate and scale the cooling systems powering the next generation of AI infrastructure. As AI, high-performance computing, and hyperscale data centers push thermal limits beyond what traditional systems can support, our liquid cooling technologies are enabling a fundamental shift in how data centers are designed and operated. We are seeking a hands-on Laboratory Technician (Engineering Technician) to play a critical role in design validation, rapid prototyping, and performance optimization of advanced liquid cooling solutions. Reporting to the Director of R&D, you will work across component, system, and rack-level environments, contributing directly to product development and real-world deployment readiness. This role is ideal for someone who wants to move beyond executing test procedures and into owning complex validation environments, influencing engineering decisions, and working on cutting-edge infrastructure at scale., What You'll Do * Own R&D lab testing and validation of liquid cooling solutions from component-level to system-level * Build, configure, and operate complex test systems, including fluid loops, sensors, instrumentation, and data acquisition platforms * Partner with engineering to design, modify, and optimize experimental setups * Execute and adapt test plans in a fast-paced, iterative R&D environment * Troubleshoot and debug integrated systems, identifying root causes across mechanical, thermal, and fluid domains * Analyze and interpret data to identify performance trends, anomalies, and optimization opportunities * Contribute to test automation and efficiency improvements, including scripting, controls, or process enhancements where applicable * Maintain high standards for data integrity, documentation, and repeatability * Ensure compliance with safety standards and operational protocols Technical Scope & Tools You will gain hands-on experience with: * Data acquisition systems (DAQ, LabVIEW, PLC-based controls, or similar) * System-level debugging of fluid, thermal, and mechanical systems * Rack-level test environments simulating real-world data center conditions * Integration of cooling systems with broader infrastructure environments What You Own * End-to-end execution and reliability of test setups and validation workflows * Accuracy, quality, and usability of experimental data * Readiness and performance of lab infrastructure and equipment * Continuous improvement of lab processes, scalability, and efficiency What Success Looks Like * You independently build and execute complex test environments * Your data directly informs and improves engineering design decisions * You proactively identify issues and drive solutions end-to-end * You improve lab efficiency, scalability, and repeatability over time * You operate effectively in a high-speed, evolving R&D environment