The CSA division supplies sensors that bridge the gap between the world we live in and the digital world of machines. By converting physical signals - heartbeats, sounds, light waves - into data, we enable robots, cars and other devices to interact with people and improve our world. What drives CSA is a relentless desire to contribute to technology and have a meaningful impact on the world. This business thrives on solving complex problems and partnering with global leaders at the forefront of technological advancement. Our goal: to push the boundaries of sensor technology and empower innovators to make the world smarter, healthier and happier.

• Reliability Resources and Budget Management: Define budget goals and manage resource growth/expansion for the Reliability Team, including tools, testing equipment & laboratories, and personnel
• Plan, execute and report required qualification activities during product development.
• Maintain ongoing reliability tests based on customer requirements and design criticalities. Inform and influence required ORTs based on experience and field performance of products
• Recruit, hire, mentor, and manage a team of Reliability Engineers, Technician and Operator, provide technical guidance and training on advanced reliability principles and tools
• Acts as Customer Interface for Reliability topics e.g. lab visits, PCN/PCRB discussion with customer, new product qualification requirements, ongoing reliability test requirements
• Collaborate with the Global Reliability team to ensure operative and strategic alignment on standards and capacity.
• Manage the execution of reliability qualification processes, ensuring continuous monitoring and timely interventions for corrective actions.

• Bachelor’s or master’s degree in engineering (Mechanical, Electrical, Physics, Material Science, Systems, or Software/Computer Science).
• Minimum of 5 years of industry experience in Reliability or Test Engineering in a leadership/management role.
• Strong Analytical and Statistical Skills: Ability to analyse complex data sets to predict failure and measure improvement
• Proven experience managing and developing high-performing Reliability team
• Strong knowledge of semiconductor device physics, wafer-level reliability, and statistical quality control methods
• Knowledge of quality management principles and experience with design for reliability