Posted 1 day ago
Thermal Mechanical Engineer
AI Summary
Designs and develops liquid cooling solutions for high-performance computing and AI applications, leading products from concept through production while performing thermal, fluid flow, and structural analyses.
About this role
Are you passionate about solving complex thermal challenges that enable the next generation of AI, high-performance computing, and sustainable data center technologies? At CoolIT, an Ecolab company, you'll help develop innovative liquid cooling solutions that support Ecolab's mission of protecting vital resources while advancing high-performance technologies.
As a Thermal Mechanical Engineer, you will design, develop, and validate liquid cooling solutions for high-performance electronics, including passive cold plates, coolant distribution manifolds, and modular cooling system components. Working within our IT Cooling Design Engineering team, you will help bring innovative products from concept through production while solving challenging thermal and mechanical design problems.
What's in it For You
- Vacation and flex days, plus a paid company-wide shutdown during the holiday season.
- Comprehensive benefits from day one, including Dental, Drug, Vision, Paramedical, and Health Spending coverage.
- Casual yet professional "dress for your day" work environment.
- Company-funded RRSP contributions.
- Annual professional development allowance to support learning and career growth.
- Opportunity to work on leading-edge cooling technologies powering AI and high-performance computing applications.
What You Will Do
- Design and develop liquid cooling products and components for high-performance computing applications.
- Lead product development from concept through production, including prototyping, testing, validation, and manufacturing release.
- Create and maintain CAD models, engineering drawings, BOMs, and technical documentation.
- Perform thermal, fluid flow, and structural analyses to optimize product performance and reliability.
- Conduct testing, analyze results, and investigate root causes to drive continuous improvement.
- Collaborate with manufacturing, quality, supply chain, testing, and customer-facing teams to solve engineering challenges.
- Participate in design reviews and provide technical recommendations on performance, reliability, and manufacturability.
- Support the development of innovative cooling technologies for AI and next-generation data centers.
Position Details
- Location: Calgary, AB (Hybrid)
- Work From Home: Up to 50 days annually
- Schedule: Full-time, standard business hours
- Travel: Minimal travel as required
- Candidates must reside in or be willing to relocate to Calgary, AB or the surrounding area.
Minimum Qualifications
- Bachelor's degree in Mechanical Engineering or a related engineering discipline.
- Experience designing mechanical components and assemblies for mass production using multiple manufacturing processes.
- Strong knowledge of:
- Geometric Dimensioning & Tolerancing (GD&T)
- Tolerance stack-up and statistical tolerance analysis
- Mechanism design and analysis
- Finite Element Analysis (FEA)
- Design for Manufacturing (DFM)
- Design Failure Mode and Effects Analysis (DFMEA)
- Product Lifecycle Management (PLM)
- Engineering testing, validation, and root cause analysis
- Proficiency with CAD and simulation tools (such as SolidWorks) to create production-ready models and drawings and perform design analyses.
Preferred Qualifications
- 3+ years of thermal-mechanical product development experience.
- Knowledge of heat transfer, fluid mechanics, and cooling system design.
- Experience designing products for high-volume manufacturing.
- P.Eng. designation or eligibility.
- Master's degree in Mechanical Engineering or a related field.
About CoolIT Systems
CoolIT Systems, an Ecolab company, is a global leader in scalable liquid cooling solutions for data centers, AI infrastructure, and high-performance computing environments. Our technology enables some of the world's most advanced computing systems to operate efficiently and sustainably.
During pre-screening, we may use an AI tool, supported by human oversight, to efficiently manage tasks such as resume screening and/or interview scheduling. All hiring decisions are made by human reviewers.
Successful candidates will be required to undergo pre-hire background checks as a condition of employment.
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