Mechanical Engineer

JGT Global

South Carolina

On-site

USD 225,000 - 275,000

Full time

14 days+

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Job summary

A leading technology firm is seeking a seasoned Controls System Engineer to lead the development of intelligent infrastructure systems for AI factories in South Carolina. Responsibilities include managing BMS/SCADA systems, leading a team of engineers, and integrating emerging technologies for operational optimization. Ideal candidates will have 10–15 years of experience in automation with strong communication and leadership skills.

Qualifications

  • 10–15+ years in mission-critical systems automation.
  • Hands-on experience with BMS/SCADA systems.
  • Strong communicator with leadership experience.

Responsibilities

  • Define and implement control systems architecture.
  • Lead a team of controls, instrumentation, and automation engineers.
  • Collaborate closely with cybersecurity teams.

Skills

Control systems architecture
BMS/SCADA experience
Leadership
Communication
Emerging technologies

Education

Bachelor’s or Master’s in Electrical/Controls/Automation Engineering

Job description

4 days ago Be among the first 25 applicants

This range is provided by JGT Global. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$250,000.00/yr - $250,000.00/yr

Direct message the job poster from JGT Global

We are seeking a seasoned and visionary Controls System Engineer to lead the development of intelligent infrastructure systems that ensure safe, efficient, and autonomous operation of the AI factory. This includes managing BMS/EPMS platforms, integrating telemetry, and deploying edge control and automation strategies.

The ideal candidate will be regarded as the in-house technical controls expert, driving a controls-first culture, enabling real-time infrastructure observability, predictive maintenance, and operational optimization across mechanical and electrical systems. Reporting to the Chief Engineer, this is an opportunity to work in a collaborative team where technical leadership of initiatives will be expected to achieve high quality outcomes.

Responsibilities:

  • Define and implement the control systems architecture, including hardware (PLCs, sensors), software (SCADA, analytics), and network integration.
  • Own evaluation and adoption of emerging technologies such as AI-driven controls, machine learning algorithms for anomaly detection, and advanced sensor integration to enhance automation and predictive capabilities.
  • Lead a team of controls, instrumentation, and automation engineers.
  • Design and commission BMS/EPMS/SCADA systems that support high-density compute and hybrid cooling.
  • Establish standardized design, commissioning, and documentation protocols for controls systems to ensure consistency, safety, and scalability across multiple sites.
  • Architect modular and scalable control solutions to support rapid expansion of AI infrastructure while minimizing integration complexity and downtime.
  • Facilitate seamless integration of controls systems with mechanical, electrical, and IT teams, ensuring a compliant and cohesive operation of building infrastructure and data center environments.
  • Collaborate closely with cybersecurity teams to implement secure network architectures, intrusion detection systems, and incident response plans specific to control environments.
  • Develop digital twin and simulation environments for operational forecasting and risk management.
  • Implement comprehensive telemetry and alerting frameworks that provide operators with actionable insights and rapid response capabilities.

Requirements:

  • Bachelor’s or Master’s in Electrical/Controls/Automation Engineering.
  • 10–15+ years in mission-critical systems automation, with hands-on BMS/SCADA experience.
  • Understanding of IT/OT convergence, network security, and telemetry frameworks.
  • Experience with hyperscale or GPU-accelerated environments.
  • Strong communicator with leadership experience
  • Experience in rapid expansion of controls systems to support data center demand
Seniority level
  • Seniority level
    Not Applicable
Employment type
  • Employment type
    Full-time
Job function

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