
Toqua is a deep-tech startup focused on decarbonizing the shipping industry by leveraging AI and big data for ship performance modeling. Their core product, Ship Kernels, provides highly accurate AI…

Toqua is a deep-tech startup focused on decarbonizing the shipping industry by leveraging AI and big data for ship performance modeling. Their core product, Ship Kernels, provides highly accurate AI…
Mission: Decarbonize shipping using physics-informed ML to cut fuel use and emissions
Core product: Ship Kernels — API-accessible ship performance models
Impact: Claims 2–15% fuel savings in customer case studies
HQ: Ghent, Belgium
Shipping decarbonization; vessel performance modeling and operational optimization
2020
Software Development
338200
“Supported by accelerators and programs including imec.istart, ESA Space Solutions Belgium, Pitchdrive, ZEBOX Ventures and Google Cloud Platform”
Why this role matters
At Toqua, we’re building machine learning technology that helps shipping companies cut fuel consumption and emissions at scale, solving one of the world’s most urgent climate challenges. Our platform is used directly by customers, and can also be easily embedded in partner products. By 2029, we aim to power 10,000 vessels - the equivalent of removing every single car from the roads in Belgium. What you build will directly move that needle.
You’ll be joining a young, smart, and ambitious team that’s willing to go the extra mile. If you want impact, autonomy, and deep ownership, we'd love to talk!
What you’ll do
We’re looking for a hands-on AI Engineer who lives and breathes LLMs and agents. Someone who can turn the latest AI capabilities into real product features that feel like “magic” to users. You don’t need to know our exact stack on day one, but you should be comfortable picking up new tools quickly and turning ideas into working systems.
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