Sluicebox
Artificial Intelligence • eCommerce • Energy
Sluicebox is a leading carbon intelligence platform specifically designed for the electronics industry. Leveraging advanced AI technology, Sluicebox enables companies to accurately scale their carbon footprint assessments across the entire electronics value chain, from initial customer inquiries to comprehensive global product inventories. With features such as real-time eco-design scenario modeling and automated reporting for carbon footprint metrics, Sluicebox aims to optimize emissions reductions and ensure that organizations can achieve efficient and sustainable operations.
11 - 50 employees
Founded 2024
🤖 Artificial Intelligence
🛍️ eCommerce
⚡ Energy
Process/Data Science Engineer (Electronics Manufacturing & Sustainability)
August 8
Sluicebox
Artificial Intelligence • eCommerce • Energy
Sluicebox is a leading carbon intelligence platform specifically designed for the electronics industry. Leveraging advanced AI technology, Sluicebox enables companies to accurately scale their carbon footprint assessments across the entire electronics value chain, from initial customer inquiries to comprehensive global product inventories. With features such as real-time eco-design scenario modeling and automated reporting for carbon footprint metrics, Sluicebox aims to optimize emissions reductions and ensure that organizations can achieve efficient and sustainable operations.
11 - 50 employees
Founded 2024
🤖 Artificial Intelligence
🛍️ eCommerce
⚡ Energy
📋 Description
• Architect and scale data pipelines and APIs that power part-level emissions estimates across billions of components • Translate real-world manufacturing steps—etching, deposition, reflow, dicing, testing—into structured data and emission models • Write algorithms that reflect technical standards like ISO 14067, IPC-1783, and the GHG Protocol • Integrate messy, multi-source data (from suppliers, factories, and BOMs) and build tools that clean, structure, and map it to process-level emissions • Collaborate with sustainability experts to define functional units and allocation logic that reflect real component behavior • Build frameworks for emissions traceability, sensitivity analysis, and uncertainty quantification • Validate output against known benchmarks and supplier-provided documentation
🎯 Requirements
• Hands-on process engineering experience in electronics manufacturing: semiconductors, substrates, passive components, PCBs, or advanced packaging • Strong Python and data engineering skills (ETL, SQL, APIs, data modeling) • Proven ability to read and structure technical manufacturing data: layer stacks, process flows, BOMs, facility inputs, etc. • Exposure to CO₂e modeling or strong motivation to contribute to climate-focused work • Systems thinker with a builder’s mindset—comfortable owning end-to-end technical challenges • Fluency in concepts like mass-energy balance, yield, and emissions allocation • Candidate has to be located in Austria with full-time working rights • Knowledge of LCA standards and tools (ISO 14064, ISO 14067, EN 50693, OpenLCA, Ecoinvent, etc.) • Experience working with factory IoT systems, DOE, or SPC tools • Familiarity with chemistry-based processes (e.g., wet etch, plating, metallization) • Experience with uncertainty modeling, Bayesian estimation, or vector embeddings • Exposure to ML workflows or interest in applying AI to structured physical data
Apply Now