Industrialization Engineer: Sourcing & Scale-Up (EU/Remote)

Loop

Antwerpen

Sur place

EUR 70 000 - 95 000

Plein temps

14 jours+

Générateur de candidature

Transformez ce poste en entretien — un CV et une lettre de motivation conçus selon ce que cet employeur recherche.

Passez les filtres ATS

Résumé du poste

Loop is seeking a Sourcing & Industrialization Engineer to own industrialization from design handoff to mass production, working with manufacturing partners to make designs producible, cost-effective and scalable.

You will lead DFM/DFA reviews, plan EVT/DVT/PVT builds, manage tooling timelines, and drive early cost and supplier trade-offs. This role requires proactive risk mitigation and strong cross-functional collaboration, with AI used responsibly.

Qualifications

Approximately 5 years of relevant industrialization or manufacturing engineering experience.
Complete knowledge and strong working understanding of S&I and producibility.
Experience with soft goods, wearables, or similarly complex consumer products.
Ability to independently lead engineering builds, DFM/DFA, tooling, qualification, and NPI milestones.

Responsabilités

Own manufacturing readiness, leading DFM and DFA reviews with manufacturing partners and the design team, and resolving producibility issues before they reach tooling.
Plan and run engineering builds such as EVT, DVT, PVT, or equivalent, defining objectives and translating learnings into design or process changes.
Own tooling timelines, first-article inspection, and process qualification for your program or programs.
Provide engineering input into cost negotiations and supplier selection alongside Sourcing, surfacing cost, quality, and timeline trade-offs early.
Own the industrialization critical path, identifying risks, recommending a path forward, and driving mitigation rather than simply reporting status.
Be the day-to-day link between manufacturing partners and Loop’s design, quality, and supply planning teams.
Adapt your communication and approach across different technical, cultural, and organizational contexts to keep work moving.
Use AI intentionally in your workflow where it improves quality, output, or decision-making, while critically evaluating outputs and retaining accountability for the work.