Top Tech Jobs & Startup Jobs in Calgary

Design and validate thermofluids systems for large-scale AI data center cooling. Responsibilities include developing cycle models, selecting working fluids, designing heat exchangers and piping, sizing valves and relief systems, analyzing coupled thermal and fluid trades, and validating predictions against test-stand data. The role requires rigorous model calibration, honest reporting of discrepancies, and technical analysis that drives machine design decisions.

Own control architecture for rotating machinery and test rigs, including compressors, motor drives, expansion turbines, and thermofluid loops. Develop safety interlocks, fault handling, speed-based capacity control, and hardware-in-the-loop validation. Tune controls on live machines, investigate model-to-plant discrepancies, integrate production chillers with site BMS and plant systems, and document systems for operations teams.

Own compressor testing from test-cell commissioning through validated performance mapping. Responsibilities include specifying test cells and instrumentation, defining measurement chains and uncertainty budgets, writing test plans and safety interlocks, analyzing data, supporting design changes, and conducting failure investigations. The role focuses on high-pressure, high-speed rotating machinery, thermofluids, refrigeration performance, and data acquisition.

Owns end-to-end aerodynamic and mechanical design of high-speed turbomachinery, including centrifugal compressors, expansion turbines, rotordynamics, magnetic bearing integration, stress analysis, and machine architecture. The engineer will take designs from mean-line analysis and CFD through geometry release, build, test-stand validation, performance-map analysis, and iterative redesign. Work spans advanced cooling systems, novel working fluids, high-speed motor-driven machines, and rapid development from concept to production.

Own the electrical design and integration of high-power machines, including DC buses, inverters, motor drives, magnetic-bearing amplifiers, test-cell power systems, and load banks. Lead EMC, harmonics, bearing-current, insulation, arc-flash, and electrical-safety work through installation and commissioning. Develop safe work practices for energized equipment and bring first-of-a-kind systems to full-rating operation.

Architect the solid-state transformer platform for gigawatt-scale AI data centers. Select converter topologies and semiconductor strategies, lead power electronics, magnetics, and controls engineers through hardware development, define MVDC system interfaces, create prototype roadmaps, evaluate build-versus-partner options, and develop vendor, laboratory, and university partnerships. Own technical trade-offs involving efficiency, redundancy, manufacturability, device availability, and MW-scale system integration.

Own hardware new product introduction programs from kickoff through rate production for racks, gear, or power conversion products. Manage schedules, stage gates, risks, dependencies, design changes, long-lead components, readiness reviews, and cross-functional decisions across engineering, manufacturing, quality, supply chain, and delivery. The role requires technical judgment, disciplined escalation, and the ability to make difficult scope, schedule, and recovery decisions under significant schedule pressure.

Own the architecture and end-to-end product definition of 150kW-class liquid-cooled AI compute racks. Lead electrical, mechanical, thermal, and integration engineers; define power, cooling, interconnect, structural, weight, serviceability, and facility interfaces; conduct rigorous design reviews; and align rack roadmaps with accelerator vendors and data center architecture.

Design and develop the mechanical aspects of data-center robotics including end effectors, docking, and robot-plant interfaces. Rapidly prototype, test to failure, instrument trials, and productionize hardware with DFM, reliability, and spare strategies while collaborating closely with controls and software teams.

Engineer mechanical demand flexibility for data center cooling: model thermal inertia and headroom per site, design setpoint/staging/storage strategies, validate models via instrumented field tests, quantify operating risk in degrees/minutes/margins, and collaborate with controls engineers.