About Dispelix

At Dispelix we develop and deliver see-through waveguide combiners that are used as transparent displays in augmented reality (AR) devices. Our elegant, high-performance AR waveguides seamlessly combine the virtual and the real. We are a trusted and visionary partner for the industry leaders in AR, enabling them to redefine the form, function, and feel of AR wearables. Dispelix is headquartered in Finland.

• Develop repeatable Product Engineering ways of working that improve lead time, predictability, manufacturability and execution quality across internal and customer-driven deliverables

• Define manufacturing concepts, process flows, assembly methods, and test strategy together with R&D, and help turn early prototypes into repeatable manufacturing solutions

• Lead DFM/DFA activities and ensure design intent is converted into repeatable, manufacturable solutions

• Partner with R&D to translate product and process requirements into robust process windows and clear acceptance criteria (e.g., high‑precision assembly, coatings/thin films, metrology, cleanroom practices where relevant)

• Own manufacturing documentation: work instructions, process specs, control plans, and acceptance criteria

• Plan and execute production ramp‑up: capacity, yield, cycle time, and quality targets; drive root‑cause analysis and corrective actions

• Use Lean thinking to identify constraints, reduce waiting time and rework, and improve the flow from engineering decisions to manufacturing execution

• Work closely with suppliers/contract manufacturers in RFQ, NPI builds, and ongoing production support

• Track manufacturing KPIs and use data to improve stability, yield and product quality

• Strong understanding of manufacturing processes, tolerances, quality requirements and lead time drivers, and how they translate into stable and predictable production

• Ability to drive DFM/DFA with R&D and make pragmatic trade‑offs between performance, cost, yield and schedule

• Experience with process validation and risk management (e.g., PFMEA, control plans, capability and acceptance criteria)

• Proven ability to improve manufacturing flow through data, structured problem solving and practical continuous improvement actions

• Comfortable working across disciplines and organizational boundaries, including external suppliers/contract manufacturers

• BSc/MSc in Engineering (Mechanical, Electrical, Industrial, Physics, or a related field) or equivalent hands‑on experience

• Typically, 5–10+ years of relevant industry experience

• Experience with supplier/CM management, including NPI builds, audits, and performance follow‑up

• Background in precision manufacturing (optics, micro‑structures, coatings/thin films, cleanroom work, or other high‑tolerance processes)

• Familiarity with micro‑/nano‑manufacturing or semiconductor manufacturing methods is a plus (e.g., cleanroom workflows, photolithography/replication, thin‑film deposition/coating, etching/ablation, wafer‑level thinking and metrology)

• Experience with metrology and measurement system thinking (e.g., capability, repeatability, correlation)

• Familiarity with quality methods and problem solving (e.g., 8D, CAPA, DOE, SPC)

• Lean manufacturing mindset and hands-on experience with continuous improvement methods; Six Sigma experience, such as Green Belt, is a plus

• Understanding of cost drivers and manufacturing economics (cycle time, scrap, yield, tooling)

• Interest in data‑driven approaches for yield and process optimization

• Are open-minded with a passion for AR and technology in general

• Are comfortable working individually or as a part of a team

• Enjoy working in a challenge-driven, collaborative, and international work environment and are not afraid to challenge the status quo

• Are positive and communicate in a friendly and direct way