Defect Inspection Engineer (f/m/d)

Your RoleAs a Defect Inspection Engineer/Expert, you will be responsible for ensuring the defect-free quality of semiconductor wafers using Automated Optical Inspection (AOI) systems and unpatterned wafer <inspection.You> will detect defects such as particles, scratches, haze, and surface roughness that could impact the yield of our integrated graphene photonics process flow. Working in a cleanroom environment, you will collaborate with process, equipment and integration teams to set up, qualify and optimize inspection recipes, troubleshoot issues, and continuously improve defect detection and classification.What You’ll DoPerform AOI and unpatterned wafer inspection on materials such as bare silicon, epitaxial layers and polished wafersSet up, qualify and optimize inspection recipesFine-tune inspection tool and recipe parameters to improve defect-detection sensitivity, inspection quality, repeatability and overall performanceAnalyze defect data to identify trends, root causes and potential process excursionsInterpret defect data and translate findings into actionable insights for process teamsGenerate defect maps, Pareto charts and reports to communicate findingsParticipate in Design of Experiments (DOE) to optimize inspection parametersTroubleshoot inspection-related issues and support continuous improvement in defect detection and classificationCollaborate with process, equipment and integration teamsWhat You BringA bachelor’s degree or above in electrical engineering, materials science, physics or a related field5+ years of experience in semiconductor inspection, with a focus on AOI and unpatterned wafer inspectionHands-on experience with unpatterned wafer inspection systems, such as SPx, and AOI tools such as Eagle or DragonflyUnderstanding of semiconductor process flows, including polishing, epitaxy and cleaningFamiliarity with defect classification, SEM review and Statistical Process Control (SPC)Proficiency in AOI and defect-review software, such as KLA Klarity and Camtek InspectaAbility to optimize inspection tools and recipe parameters for sensitivity, inspection quality and repeatabilityAbility to interpret defect data and identify relevant trends and improvement opportunitiesProficiency in JMP for statistical analysis, data visualization and DOEFamiliarity with MATLAB or Python is an advantageExcellent communication and teamwork skills, with the ability to collaborate across functionsWhat We OfferThe opportunity to work on defect inspection for an integrated graphene photonics process flowA cleanroom-based role with close collaboration across process, equipment and integration teamsOur work culturePeople Over Processes. At Black Semiconductor, flexibility is key-we ensure work adapts to life, not the other way around. We champion work-life harmony, where careers are meaningful and enriching. Our processes are human-centric, allowing you to focus on what mattersLet’s grow together. Your potential is our priority. We provide the autonomy to make a lasting impact and nurture your growth through a culture of continuous learning. We invest in your journey for professional and personal developmentYour Health and Future Matter. Your well-being is paramount. We offer a comprehensive benefits package with outstanding insurance, pension and virtual stock options for your mental, physical, and financial health. Your peace of mind is our priority - in the present and futureWe Live Openness. Collaboration and inclusivity are the cornerstones of our culture. We practice openness, fostering trust and respect. Individuality is our collective strength, fueling innovation and driving us forwardWe connect chips – and people. We encourage qualified individuals from any background to apply. We foster an inclusive and supportive work environment that values collaboration, innovation, and growth. Join our team and be part of an organization dedicated to making a difference in the industry Can you picture yourself in this Role and our Company? Let’s connect!If your application results in an employment relationship, your Applicant Data will be transferred to our personnel records and processed in accordance with applicable legal requirements; otherwise, your Applicant Data will be retained for up to six (6) months after completion of the recruitment process. Read more about our privacy policy here.