Who we are

At Hydryx, we’re turning landfills into climate solutions. Landfills are one of the biggest blind spots in climate tech. They leak methane, one of the most potent greenhouse gases, into the atmosphere for decades. We think that’s fixable.

Founded in 2023, Hydryx builds technology that makes landfill gas systems work like they should. We replace outdated, manual infrastructure with fully automated systems. Our platform combines on-site sensors, real-time monitoring, and an AI-driven control algorithm to capture more gas, reduce emissions, and generate clean power.

The entire stack is built in-house; hardware, software, cloud, and installed directly in the field. No assumptions, no black boxes. Just better control, better outcomes, and a real path to decarbonizing waste.

And honestly, the fact that this sector isn’t “sexy” is exactly why it’s so interesting to us. It’s overlooked, underserved and full of low-hanging climate wins.

We’re based in Amsterdam, scaling fast, and hiring. If you want to work on real-world climate problems, ones you can see, touch, and fix, come build with us.

Your role

You are addicted to solving puzzles. You love staring at graphs, analysing live data streams, and questioning every decision the system makes. You’re obsessed with our front-end; constantly checking valve positions and gas readings. Is our algorithm working as it should? Why did we make this decision? Can we do better?

Your work builds Hydryx’s core USP and IP, the intelligence that makes landfills behave like renewable energy plants. It’s exactly as important as it sounds.

The models you deploy will have an instantaneous real-world impact on reducing emissions and optimizing renewable energy generation

Responsibilities

• Own the Hydryx control algorithm, from model design to live deployment
• Analyse real-time landfill data and continuously improve model accuracy
• Build, test, and refine forecasting algorithms for gas composition and well interactions
• Integrate external data (weather, pressure, temperature) to enhance predictions
• Collaborate closely with the Operations team to turn field insights into control logic
• Design A/B experiments to test control strategies and quantify performance improvements
• Work with the CTO and embedded engineers to bring models to life in the field

Who you are

• Proven track record building forecasting or control algorithms
• Experience with time-series modeling, ML, and AI forecasting
• Background in energy systems, process control, or environmental data preferred
• Advanced proficiency in Python
• Skilled in API development with a strong understanding of REST API principles
• Understanding of core AWS cloud services (RDS, EC2, Lambda, Sagemaker)
• Experience with cloud deployment (Containerisation, CICD pipelines, Infrastructure as Code, etc.) and MLOps practices
• Strong communication skills and comfortable collaborating across hardware, data, software, and operations teams

Show us the hardest problem you worked on.

What we offer

• Work that matters. You’ll build systems that capture landfill methane, turn it into energy, and cut one of the world’s biggest climate problems down to size. Real tech, deployed in the real world
• Amsterdam as home base. We’re building both a product and a team, and for that you need to be in the room part of the week. How you manage that balance is up to you, but collaboration happens fastest in person.
• Upside that’s real. We offer a competitive salary, growth opportunities, and meaningful stock options, because if we win, you should share in the value created
• Ownership from day one. The learning curve is steep, the feedback is direct, and we’ll throw as much responsibility at you as you can handle. It’s simple: the more you raise the standard, the more trust and ownership you earn
• Good times included. From free daily healthy lunches and Friday beers to team dinners and a ski trip in February, we work hard, but we also make time to celebrate the ride togethe