Director Of Product Engineering
Molten Ventures (formerly Draper Esprit) is a European venture capital firm that has spent twenty years backing founders and innovators driving Europe's technology transformation. It invests capital alongside experience, energy, and partnership to help visionary technology companies scale, serving high-growth startups and scale-ups across Europe.
About Molten Ventures
Molten Ventures is a publicly listed venture capital firm focused on backing visionary founders building Europe's technology future. Beyond providing capital, the firm offers portfolio companies experience, energy, and partnership to help them scale faster and go further. Its portfolio includes companies that have collectively reached more than 50 million customers, crossed the $200m ARR mark, sold more than 7 million devices, and achieved notable public market outcomes including IPOs at market caps of £1bn and nearly £9bn. The firm operates seed funds, evaluates new investment opportunities and pitch decks from founders, maintains an investor portal for its shareholders, and publishes sustainability reporting covering responsible investment and portfolio engagement practices.
Skills
About the Role
You'll be responsible for ensuring that Graphcore products are manufactured with optimised yield, quality and cost, throughout the product lifecycle. To support this, you will recruit and lead a team of Product Engineers to work closely with OSATs, test engineering, manufacturing and quality teams to release new products and sustain high volume production. You'll join the Product Test and Diagnosis team within Manufacturing Operations, working with members across Bristol, Cambridge, India, US and Taiwan on an end-to-end test strategy spanning silicon, board-level assemblies, server blades, and rack-scale systems. Expect regular travel to OSATs and manufacturing partners.
Requirements
- 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
- 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
Responsibilities
- 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
- Travel regularly to OSATs and manufacturing partners