Graphcore - Director Of Product Engineering

• Recruit, develop, and manage a team of product engineers with expertise in semiconductor and PCBA manufacturing • Drive yield, quality and cost optimisation across the product lifecycle, including chip manufacturing, test, PCBA and system level manufacturing • Work closely with test engineering to define requirements for coverage, reporting and datalog formats from both ATE and system level electrical test • Own analytics for SMT manufacturing processes, including SPI/AOI/AXI/ICT etc • Own analytics for board and system level testing, including boundary scan and functional testing at board/blade/rack level • Work with technology and manufacturing specialists to manage low yield events in production and drive overall yield improvement • Support RMA analysis and reliability/qualification activities • Establish best practices for data collection, cleaning, correlation, and visualization • Collaborate with the Data Engineering and Analytics team to develop loading scripts for new data sources and optimise database schemas • Define and develop standard analyses such as dashboards and enable fast self-service access to data for end users • Regular travel to OSATs and manufacturing partners will be required • Candidate Profile • Candidate Profile • Essential: • Extensive experience (10+ years) in semiconductor product engineering, test engineering, or manufacturing engineering • Proven people leadership experience, including cross-geography hiring and team building • Solid experience in high-volume semiconductor/electronics manufacturing, data visualization tools, and manufacturing systems/databases (MES) • Extensive understanding of semiconductor, PCBA and system level manufacturing and testing • Extensive expertise in statistical analysis (SPC, DOE, regression, hypothesis testing) and six sigma methodologies • Extensive expertise in analysing and visualising large manufacturing datasets • Proficiency in data tools such as Python, SQL, JMP, or similar. • Demonstrated success driving yield and cost improvements in high-volume production • Comfortable leading cross-functional teams and communicating clearly and concisely across the organisation • Degree in Electrical Engineering, Computer Science, Physics or similar • Desirable: • Extensive experience and expertise in JMP and in using the JMP scripting language to build standard analysis reports, dashboards and applications • Experience in using data visualisation tools such as Apache Superset