Solutions Engineer- Control Systems
Carbon Re
Location
Remote
Type
Full-time
Posted
Jan 08, 2026
Compensation
USD 60000 – 80000
Mission
What you will drive
- Deploy & integrate Carbon Re AI into live cement and industrial plants, ensuring stable, safe, and effective operation within existing process control frameworks.
- Collaborate with plant and process teams to identify optimisation opportunities, tune control loops, and validate performance improvements.
- Develop and refine control strategies, leveraging APC, MPC, and PID principles to bridge AI recommendations with practical plant control systems.
- Build trust and engagement with process engineers and operators by clearly explaining technical decisions and demonstrating measurable benefits.
Impact
The difference you'll make
This role directly contributes to cutting gigatonnes of carbon emissions from heavy industries like cement, steel, and glass by deploying AI solutions that optimize operations in real time, reducing both costs and carbon emissions.
Profile
What makes you a great fit
- Strong background in process or control engineering, ideally in cement, chemicals, energy, or heavy manufacturing.
- Experience with advanced process control (APC/MPC/PID) systems and process optimisation projects.
- Familiarity with industrial automation systems (e.g., DCS, PLC, OPC, historian systems).
- Understanding of AI/ML applications in process control (forecasting, optimisation, anomaly detection) is a plus.
Benefits
What's in it for you
- A competitive salary: £60,000-£80,000
- Equity in the company: Share options so you're part of the journey
- Flexible working: Trust-based approach to how and when you work
- 30 days of holiday (plus bank holidays)
- A generous pension scheme
About
Inside Carbon Re
Carbon Re is on a mission to cut gigatonnes of carbon emissions from the world's biggest emitting industries like cement, steel, and glass by applying cutting-edge AI where it matters most. Their SaaS products help heavy industry optimize operations in real time, cutting costs and carbon today while building the foundation for the next industrial revolution.