Building Automation Engineer - AI Factory

Jobgether; Oregon; Hybrid; USD 110,000 - 222,000; Full time

Benefits offered by this job

Competitive salary

Annual incentive plan

Remote work flexibility

Health and wellness benefits

Professional development

Career growth

Inclusive workplace

Accommodations

Job summary

Jobgether is seeking a Building Automation Engineer - AI Factory for remote work in the United States. The role focuses on designing and optimizing BMS systems for AI factories and data centers, with emphasis on scalable telemetry and digital twin integration.

You will work with PLCs, EPMS, and DCIM platforms, applying protocols like MQTT, OPC UA, BACnet/IP, and Modbus TCP. Strong collaboration and problem-solving are essential for efficient, reliable operations.

Qualifications

• Bachelor's degree or equivalent practical experience in engineering.
• 5+ years in building technology, automation, or control systems.
• BMS design/integration experience; Siemens Desigo CC desirable.
• Proficiency in two of MQTT, REST APIs, OPC UA, BACnet/IP, Modbus TCP.

Responsibilities

• Lead BMS integration for AI factory and data centers.
• Design scalable telemetry architectures for high-frequency data.
• Connect BMS with PLCs, EPMS, DCIM, and digital twins.
• Implement protocols: MQTT, REST, OPC UA, BACnet/IP, Modbus TCP.
• Develop dashboards and KPIs for proactive monitoring.
• Support cooling and computing optimization initiatives.
• Create automation concepts with partners for advanced infra.
• Lead proof-of-concept and demonstrations with vendors.

Skills

Building automation

BMS design

Industrial communication

Telemetry architecture

Data center infra

Digital twin understanding

Analytical thinking

Collaborative work

Innovation mindset

Travel readiness

Education

Bachelor's degree in Electrical/Mechanical Engineering or related

Equivalent practical experience

Tools

Siemens Desigo CC

Amesim

TIA Portal

MQTT

REST APIs

OPC UA

BACnet/IP

Modbus TCP

Job description

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Building Automation Engineer - AI Factory based in the United States.The Building Automation Engineer - AI Factory will play a key technical role in designing, integrating, and optimizing advanced building automation systems for mission-critical AI factory and data center environments. This position combines expertise in building management systems, industrial communication protocols, telemetry architecture, and digital integration to ensure reliable, high-performance infrastructure operations. You will connect building management platforms with power monitoring systems, programmable logic controllers, data center infrastructure management tools, and digital twin environments. Working across engineering teams and technology partners, you will develop scalable monitoring solutions, optimize control strategies, and improve operational visibility. You will also contribute to feasibility studies, automation concepts, and simulation-based testing to advance cooling and computing system efficiency. This remote opportunity offers the chance to shape next-generation infrastructure through innovative automation, intelligent monitoring, and data-driven optimization.

Accountabilities

• Lead building automation integration: Design, implement, and optimize Building Management System (BMS) solutions for mission-critical AI factory and data center facilities, ensuring reliable monitoring and control of essential building infrastructure.
• Develop scalable telemetry architectures: Create robust architectures capable of handling high-volume, high-frequency operational data while meeting strict latency, bandwidth, reliability, and performance requirements.
• Integrate critical infrastructure platforms: Connect BMS environments with programmable logic controllers (PLCs), Electrical Power Monitoring Systems (EPMS), Data Center Infrastructure Management (DCIM) platforms, and digital twin solutions to enable seamless data exchange and coordinated operations.
• Configure industrial communication protocols: Implement and troubleshoot integrations using MQTT, REST APIs, OPC UA, BACnet/IP, Modbus TCP, and other relevant industrial communication technologies.
• Optimize monitoring and visualization: Define and implement scalable alarm management strategies, key performance indicators (KPIs), dashboards, and visualization frameworks that provide actionable operational insights without compromising system performance.
• Support cooling and computing optimization: Conduct feasibility studies and evaluate technologies for data center cooling and computing system control, with a focus on energy efficiency, reliability, and operational performance.
• Develop automation concepts and solutions: Lead the conceptual design of integrated automation and control offerings, collaborating with technology partners to develop innovative solutions for advanced infrastructure environments.
• Implement proof-of-concept and demonstration projects: Build, test, and validate pilot implementations with partners to demonstrate technical feasibility, interoperability, and performance.
• Design and validate control sequences: Develop, simulate, and test sequences of control using tools such as Siemens Amesim and TIA Portal to validate system behavior and optimize automation performance.
• Strengthen digital integration: Support the flow of operational data into digital twin platforms and other advanced analytics environments, improving system observability and enabling more intelligent facility management.
• Improve system reliability and efficiency: Identify opportunities to enhance infrastructure monitoring, reduce operational inefficiencies, and strengthen the performance and resilience of integrated building systems.
• Collaborate with technical stakeholders: Work closely with engineering teams, solution architects, and external partners to resolve integration challenges, align technical requirements, and deliver scalable automation solutions.
• Support technical innovation: Evaluate emerging technologies and contribute to the development of repeatable engineering practices that improve the deployment and operation of AI factory infrastructure.

Requirements

• Education: Bachelor's degree in Electrical Engineering, Mechanical Engineering, Computer Science, Automation or Control Systems Engineering, or a related engineering discipline, or equivalent practical experience.
• Professional experience: At least five years of experience in building technology, building automation, or control systems within mission-critical environments.
• Building Management Systems expertise: Demonstrated experience designing, configuring, integrating, or optimizing BMS solutions. Strong knowledge of Siemens Desigo CC is highly desirable.
• Industrial communication protocols: Proficiency in at least two of the following technologies: MQTT, REST APIs, OPC UA, BACnet/IP, and Modbus TCP. Extensive experience across these protocols is an advantage.
• Telemetry and data acquisition: Proven experience designing and implementing data acquisition systems or telemetry architectures for complex operational environments, preferably involving high-volume, high-frequency data.
• Systems integration: Demonstrated ability to integrate diverse industrial and building systems, ideally including BMS, PLCs, EPMS, DCIM, and digital twin platforms.
• Control systems engineering: Knowledge of automation architectures, control logic, system interoperability, and performance optimization in mission-critical facilities.
• Monitoring and visualization: Experience developing alarm strategies, operational KPIs, dashboards, and visualization solutions that support effective monitoring and troubleshooting.
• Simulation and validation: Familiarity with control sequence simulation and validation tools, such as Amesim and TIA Portal, is beneficial.
• Digital twin knowledge: Understanding of digital twin concepts and their application to building automation, facility monitoring, and infrastructure optimization is an advantage.
• Analytical and problem-solving skills: Ability to investigate complex technical issues, evaluate system performance, identify root causes, and develop reliable, scalable solutions.
• Collaboration and communication: Strong communication skills and the ability to work effectively with multidisciplinary engineering teams, technology partners, and other stakeholders.
• Innovation mindset: Interest in emerging technologies, intelligent infrastructure, automation, and data-driven methods for improving facility efficiency and reliability.
• Travel availability: Ability and willingness to travel domestically up to approximately 25%, potentially for periods of up to one week at a time, depending on project requirements.
• U.S. work authorization: Must be legally authorized to work in the United States on a continual and permanent basis without employer sponsorship.
• Work arrangement: Ability to work remotely from one of the eligible U.S. locations specified for the position.

Benefits

• Competitive annual salary: Advertised base salary range of $109,670-$222,034 , depending on experience, skills, qualifications, and other relevant factors.
• Annual incentive opportunity: Target annual incentive compensation of 15% , subject to applicable program terms and eligibility.
• Health and wellness benefits: Access to a range of employee healthcare and wellness programs. Specific coverage and eligibility details are available through the employer's benefits resources.
• Remote work flexibility: A full-time, permanent remote position available in eligible U.S. states.
• Professional development: Opportunities to expand expertise in building automation, industrial communications, digital twins, and mission-critical infrastructure technologies.
• Technical innovation: The opportunity to contribute advanced AI factory and data center projects involving intelligent automation, system integration, and infrastructure optimization.
• Cross-functional collaboration: Work alongside engineering professionals and technology partners on complex, high-impact technical challenges.
• Career growth: Opportunities to develop specialized technical expertise and contribute to next-generation automation and control solutions.
• Inclusive workplace: A commitment to equal employment opportunities, diverse perspectives, and a respectful professional environment.
• Reasonable accommodations: Support for qualified candidates who require accommodations during the recruitment and selection process.