私たちのミッションにぜひご参加ください。建物、住宅、輸送分野において、快適で持続可能かつ効率的な気候ソリューションを提供する世界的リーダーとして、私たちには地球を最優先する責任があります。私たちにとってトレーン・テクノロジーズ、および当社の事業（〜を含む）を通じてトレーン登録商標およびサーモキングサステナビリティは、私たちのビジネスの手法であるだけでなく、ビジネスそのものです。世界が直面する課題を、インパクトのある可能性として捉える勇気はありますか？より良い未来の実現に貢献したいとお考えですか？もし答えが「はい」なら、持続可能な世界のために、共に新たな可能性へ大胆に挑戦する仲間として、ぜひご検討ください。 当社について詳しく知る福利仕事でも家庭でもあなたがより豊かに活躍できるよう設計されています。 私たちは果敢に前進します。 作業場所: BrainBox AIのワークプレゼンスモデルでは、毎月特定の日を出社日に設定し、関係構築、学習、イノベーションに集中しています。 At BrainBox AI, we are revolutionizing how buildings consume energy by combining artificial intelligence, cloud computing, and HVAC expertise to create truly autonomous buildings. We’re looking for a Mechanical Engineer who brings deep knowledge of HVAC system design, commissioning,



and field implementation—someone who understands how buildings operate in the real world and is excited to help optimize them through cutting-edge AI solutions. In this role, you’ll bridge the gap between traditional HVAC engineering and next-generation smart building technology. You will assess and interpret existing mechanical systems, support the integration of our AI-driven control platform, and collaborate closely with software engineers and our global deployment team to deliver measurable energy savings and improved occupant comfort. Responsibilities: Leverage HVAC system expertise to develop and refine detailed sequences of operation that serve as the foundation for optimization algorithms for facility mechanical systems. Integrate the latest advances in artificial intelligence into our sequences of operation, and consolidate them into a single coherent standard. Collaborate across AI research, MLOps, and algorithm teams to deliver production-ready solutions. Review mechanical and control drawings, sequences, and submittals to understand system capabilities and identify opportunities for optimization. Conduct remote system reviews to evaluate mechanical equipment configuration and control readiness. Analyze BAS trend data and system performance to validate assumptions, detect anomalies,



and benchmark system behavior before and after optimization. Support the creation of functional performance tests protocols to verify system operation and energy outcomes. Collaborate closely with software developers and system architects to translate mechanical principles into algorithms and control logic that improve building performance. Provide engineering insight into optimization algorithm design, ensuring alignment between physical system behavior and digital models. Support the debugging and troubleshooting of control logic and optimization algorithms, working hand-in-hand with the software development team to identify root causes and implement effective solutions. Conduct testing and validation of algorithms through both virtual simulations and real-world field trials to verify functionality, energy savings, comfort, and operational reliability. Develop and deliver training sessions for operations team, explaining the logic, configuration, and expected behavior of the algorithm sequences. Provide technical documentation and feedback to improve platform performance, user experience, and integration workflows. Stay current on emerging HVAC, controls, and building automation technologies to continuously enhance BrainBox AI’s optimization capabilities. Qualifications: Bachelor’s degree in Mechanical Engineering from an accredited program. Active Skilled Engineer (P.E.) license – preferred but no required Deep understanding of engineering principles (Thermodynamics, Psychrometrics, Heat

📌 Senior Hvac Research Engineer (Montreal)
🏢 Trane Supply
📍 Montreal