BrainBox AI utilizes self-adapted artificial intelligence technology to proactively optimize the energy consumption of one of the largest climate change contributors: Buildings.
Our AI engine supports a self-operating building that requires no human intervention. Using deep learning, cloud-based computing, and our proprietary process, our solution autonomously optimizes existing Heating, Ventilation, and Air Conditioning (HVAC) control systems for maximum impact on energy consumption.
An exciting opportunity awaits the right candidate to be part of a fast-growing company. We are looking for a Junior AI Controls Engineer. Following our acquisition by Trane Technologies, Brainbox AI is entering a phase of accelerated growth and global market expansion.
What you will do:
- Assist in deploying, testing, and verifying AI control algorithms for building control systems
- Support senior engineers in developing HVAC control sequences and troubleshooting control systems
- Contribute to the development and testing of HVAC algorithms under supervision
- Assist in onsite edge device installation and commissioning with guidance
- Support analysis and improvement of building controls for energy optimization and occupant comfort
- Collaborate with cross-functional teams on building deployments and performance evaluations
- Participate in testing and commissioning of BMS & HVAC systems
- Help improve company tools and templates related to energy and performance analysis
- Read and interpret HVAC mechanical plans and wiring diagrams with assistance
- Help identify and resolve system issues with support from senior team members
- Assist in training customers on HVAC control systems and provide follow-up support
- Document work processes and contribute to procedure development
- Support the generation and analysis of performance reports
- Perform other tasks as assigned by the team
What you will need to be successful
- DEC or bachelor's degree in mechanical, electrical engineering, or related field (or currently pursuing)
- 0–2 years of experience in building automation or HVAC controls (internships/co-ops acceptable)
- Familiarity with DDC, PLC, or BAS/HVAC control programming is a plus
- Basic understanding of building automation systems, HVAC principles, and building operations
- Exposure to HVAC automation systems and basic commissioning tasks
- Interest in learning control theory and practical implementation
- Familiarity with common control platforms (JCI, Siemens, Honeywell, etc.) is an asset
- Awareness of BMS communication protocols (BACnet, Modbus, etc.)
- Strong organizational and communication skills
- Willingness to learn and take direction from senior engineers
- Basic reporting skills and data analysis capability
- Enthusiasm for energy management and sustainable building performance
- Willingness to learn Python or other programming languages used in controls
Why work at BrainBox AI
- Cool Environment | Collaborative Culture | Growth Opportunities |
- Make a significant impact on the world - join the fight against climate change
- Be a part of a revolutionary technology movement
- Collaborate with innovative, out-of-the-(Brain) box thinkers in a fast-paced environment
- Work with amazing people who truly have a passion in the work they do
At BrainBox AI, we are committed to providing an inclusive work environment. We value the diversity of our team and we strongly believe in the power of people. We foster a safe space for our employees to thrive regardless of race, ethnicity, gender, gender identity, sexual orientation, age, and religion.
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What We Do
BrainBox AI uses deep learning, cloud-based computing, algorithms and a proprietary process to support a 24/7 self-operating building that requires no human intervention and enables maximum energy efficiency. Pre-commercialization tests have demonstrated that BrainBox AI enables a reduction in total energy costs of up to 25 percent in less than three months, with low to no CAPEX needed from property owners. It also improves occupant comfort by 60% and decreases the carbon footprint of a building by 20-40 percent.
