Application Guide

How to Apply for Solutions Engineer- Control Systems

at Carbon Re

🏢 About Carbon Re

Carbon Re is unique as an AI-driven climate tech startup specifically targeting the cement and steel industries, which are responsible for approximately 15% of global CO2 emissions. Their mission to cut gigatonnes of CO2 annually combines cutting-edge AI with heavy industrial applications, offering engineers a rare opportunity to have massive environmental impact while working at the intersection of traditional process control and machine learning.

About This Role

This Solutions Engineer role involves deploying Carbon Re's AI optimization system directly into live cement plants, integrating it with existing DCS/PLC control systems while ensuring safe and stable operation. You'll bridge the gap between AI recommendations and practical plant control by developing control strategies using APC, MPC, and PID principles, directly contributing to measurable CO2 reduction in some of the world's most carbon-intensive industries.

💡 A Day in the Life

A typical day might start with reviewing performance data from deployed AI systems at client cement plants, then collaborating remotely with plant teams to adjust control parameters. You could spend the afternoon developing integration strategies for a new plant deployment, creating documentation that bridges AI recommendations with existing DCS logic, and preparing for on-site visits to validate system performance and train operators.

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Interview Prep

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🎯 Who Carbon Re Is Looking For

  • Has 3+ years of hands-on experience with advanced process control (APC/MPC) implementation in cement, chemicals, or heavy manufacturing environments
  • Can demonstrate specific projects where they successfully integrated new control systems with existing DCS/PLC infrastructure in industrial plants
  • Shows genuine understanding of how AI/ML can be practically applied to process optimization, not just theoretical knowledge
  • Has experience building trust with plant operators and process engineers through clear communication of technical decisions

📝 Tips for Applying to Carbon Re

1

Quantify your APC/MPC experience with specific metrics: mention percentage improvements in efficiency, throughput, or energy savings you achieved in previous roles

2

Highlight any experience with cement industry processes (kiln operations, raw meal preparation, clinker cooling) or similar high-temperature continuous processes

3

Include specific DCS/PLC systems you've worked with (Siemens PCS7, Emerson DeltaV, ABB 800xA, Rockwell PlantPAx) and your level of expertise

4

Demonstrate your understanding of the practical challenges of AI deployment in industrial settings by describing how you've handled data quality issues or model drift

5

Show awareness of Carbon Re's specific approach by referencing their focus on cement/steel and how your background aligns with their niche market

✉️ What to Emphasize in Your Cover Letter

['Your hands-on experience deploying control systems in live industrial plants (not just design or simulation)', 'Specific examples of bridging technical solutions with operator adoption and trust-building', "How your background in heavy manufacturing aligns with Carbon Re's focus on cement and steel industries", 'Your practical understanding of implementing AI/ML recommendations within existing process control frameworks']

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Carbon Re's specific AI approach for cement plants - review their website, blog posts, and any technical papers they've published
  • → The cement manufacturing process flow, particularly kiln operations and energy consumption patterns
  • → Recent news about carbon reduction regulations and initiatives in the cement and steel industries globally
  • → Carbon Re's partnerships and pilot projects with specific cement manufacturers

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Walk us through a specific APC/MPC project you implemented from start to finish in a cement or similar plant
2 How would you handle resistance from plant operators when introducing AI-driven control changes?
3 Describe your experience with data historian systems and how you've used historical data for process optimization
4 What specific challenges do you foresee when integrating AI recommendations with existing PID control loops in a cement kiln?
5 How would you validate and demonstrate the performance improvements of Carbon Re's system to plant management?
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⚠️ Common Mistakes to Avoid

  • Focusing only on academic AI/ML knowledge without demonstrating practical industrial implementation experience
  • Generic process engineering experience without specific examples from cement, chemicals, or similar heavy manufacturing
  • Failing to show understanding of the operational realities and safety requirements of live plant deployments

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

Ready to Apply?

Good luck with your application to Carbon Re!

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