Control Systems Engineer

Reposted 10 Hours Ago
4 Locations
In-Office or Remote
200K-250K Annually
Expert/Leader
Artificial Intelligence • Software
The Role
Lead design, development, and commissioning of SCADA/BMS/EPMS for data centers. Develop architectures, program PLCs/SCADA/HMIs, create SOOs/P&IDs, mentor engineers, and support FAT, construction, and commissioning across US and Europe.
Summary Generated by Built In
About Fluidstack

We exist to make humanity more free. For most of human history, you farmed or you starved. Technology gave people more time for the things they wanted to do, instead of things they had to do. Powerful AI will be the biggest lever for human choice we've ever built - but only if models are aligned with what humanity actually wants. There are groups building AI who don't share these goals. Whoever deploys frontier compute infrastructure fastest will decide whether AI expands human freedom or shrinks it.

We're singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack. We acquire power, design and build data centers, and operate them - with teams spanning hardware and software. Speed and scale are our key differentiators. Come be a part of building civilization-scale infrastructure for AI.


We hire people who care deeply about this problem space. If that is you, please apply!

About the Role

A Control Systems Engineer will take the lead in designing, developing, and commissioning SCADA/BMS/EPMS systems for industrial applications. Expectation is this individual will oversee design, deployment and Cx of BMS and EPMS systems across multiple locations throughout the US and Europe. This senior-level role requires deep expertise in control systems designs, SOO development, System P&IDs, HMI requirements and system architecture design. The successful candidate will oversee complex control systems projects, provide technical guidance, and ensure that solutions meet both client requirements and industry standards.

Responsibilities
  • Lead the conceptual design, development, and implementation of data center control systems, including Chilled Water, HVAC, Power Monitoring and Data Hall Monitoring.

  • Provide technical leadership, mentoring, and support to junior engineers on the controls team.

  • Develop control system architectures, functional specifications, and detailed system designs.

  • Program and configure PLCs, SCADA systems, and HMIs to meet project requirements.

  • Develop standard SOOs, P&IDs, Sensor installation details, specifications and design templates.

  • Support control system simulations, factory acceptance testing (FAT), construction and commissioning activities at greenfield data center deployments.

Basic Qualifications
  • Bachelor’s degree in Electrical, Chemical, or Mechanical Engineering (or related field).

  • Minimum of 10 years of experience in industrial control systems engineering.

  • Extensive experience with PLCs, DCSs, SCADA systems, and industrial networks.

  • Proficiency in control system programming languages such as ladder logic, function block, and others.

  • Hands-on experience with major control system platforms (e.g., Rockwell, Siemens, Ignition, etc).

  • Excellent communication, leadership, and team management abilities.

  • Willingness to travel to project sites as required (50-70%).

Preferred Qualifications
  • Professional Engineer (PE) license preferred but not required.

  • Experience in managing large-scale control system projects, from design through commissioning.

  • Experience with Revit or other 3D modelling software.

  • Familiarity with relevant industry codes, standards, and best practices.

  • Ability to stay current with emerging trends in industrial control and automation technologies.

Benefits
  • Competitive total compensation package (cash + equity).

  • Retirement or pension plan, in line with local norms.

  • Health, dental, and vision insurance.

  • Generous PTO policy, in line with local norms.


The base salary range for this position is $200,000 - $250,000 per year, depending on experience, skills, qualifications, and location. This range represents our good faith estimate of the compensation for this role at the time of posting. Total compensation may also include equity in the form of stock options.

We are committed to pay equity and transparency.

Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

You will receive a confirmation email once your application has successfully been accepted. If there is an error with your submission and you did not receive a confirmation email, please email [email protected] with your resume/CV, the role you've applied for, and the date you submitted your application-- someone from our recruiting team will be in touch.

Skills Required

  • Bachelor's degree in Electrical, Chemical, Mechanical Engineering or related field
  • Minimum of 10 years of experience in industrial control systems engineering
  • Extensive experience with PLCs, DCSs, SCADA systems, and industrial networks
  • Proficiency in control system programming languages such as ladder logic and function block
  • Hands-on experience with major control system platforms (e.g., Rockwell, Siemens, Ignition)
  • Excellent communication, leadership, and team management abilities
  • Willingness to travel to project sites as required
  • Professional Engineer (PE) license
  • Experience managing large-scale control system projects from design through commissioning
  • Experience with Revit or other 3D modelling software
  • Familiarity with relevant industry codes, standards, and best practices
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The Company
HQ: London
30 Employees
Year Founded: 2017

What We Do

Instantly reserve dedicated clusters of NVIDIA H200s and GB200s for any scale to supercharge your training and inference workflows.

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