Location: Austria (Remote) | Team: Engineering
SluiceboxAI is transforming how electronics manufacturers understand and reduce their carbon footprint. We automate lifecycle assessments (LCAs) and emissions analysis at the component level—unlocking transparency and compliance in a $2T+ industry. Our platform combines carbon accounting, deep domain expertise, and data science to deliver accurate, scalable intelligence to OEMs, contract manufacturers, and suppliers.
We're a fast-moving startup where engineers define the “how,” not just execute the “what.”
We’re hiring a true hybrid: a process-savvy Data Science/Engineer with deep knowledge of electronics manufacturing—someone who understands how components are actually made and can model, analyze, and structure that data into scalable emissions intelligence.
You’ll help us build and refine the data pipelines, process models, and emissions logic that power our carbon intelligence engine. This means working at the intersection of semiconductor, substrate, and electronics process knowledge and data engineering, LCA, and uncertainty modeling. If you’ve ever wanted to combine shop-floor logic with advanced analytics for climate impact—this is that role.