Remote Process Engineer Jobs in Federal Way, WA (NOW HIRING)

The Silicon Process Integration team owns the full journey from early-stage process flow development through qualification and into high-volume manufacturing. We develop novel manufacturing technologies tailored to the unique demands of RFID endpoint ICs, working closely with OSAT partners to bring R&D innovations to reliable, repeatable production at scale. Our work spans process flow architecture, process development, qualification, yield analysis, reliability testing and failure diagnosis — collaborating cross-functionally with design, test, quality and go-to-market teams at every step.

• Support process integration for new products from development to mass production
• Execute process optimization projects. Design and manage experiments to optimize process flows for new and existing products
• Analyze process, test, yield, and product performance data for existing products to discover and drive continuous improvements
• Collaborate with silicon process engineers for process development; define experiments and test methods
• Manage reliability and failure analysis tests to evaluate impact on products

• Bachelor's degree in Electrical Engineering, Chemical Engineering, Materials Science, Physics, or a related field with a minimum of 5 years of related experience
• Demonstrated experience with semiconductor process flows including backend, WLCSP, dicing, and advanced packaging technologies
• Applied knowledge of material science and device physics as relates to semiconductor failure mechanisms and process development
• Hands-on experience conducting failure analysis using SEM, TEM, FIB, ion milling, AFM, and related tools to identify root cause and drive corrective actions
• Ability to produce clear technical documentation and present findings to both engineering and cross-functional teams
• Proven experience designing and executing DOEs, applying statistical process control, and performing yield analysis to drive process improvements
• Proficiency in data analysis and automation using one or more of the following: JMP, Minitab, Python, or MATLAB
• Working knowledge of Lean Six Sigma and 8D methodologies with experience applying them to solve manufacturing or process challenges
• Ability to travel internationally occasionally as business needs' require

The benefits listed below may vary depending on the nature of your employment with Impinj and the country where you work.

The typical base pay range for this role across the US is $113,900 - $160,800. Individual base pay depends on various factors such as complexity and responsibility of role, job duties, requirements, and relevant experience and skills. Both market wage data and the mid-point of the pay range is reviewed and used as the starting point for all new hire offers. Offers are made within the base pay range applicable at the time.
At Impinj certain roles are eligible for additional rewards, including merit increases, annual bonus and stock. These awards are allocated based on individual performance. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee's role. US based employees have access to healthcare benefits; a 401(k) plan and company match among others.

For a more comprehensive list of US employment benefits, click here.

This position has access to technologies or data subject to U.S. export control regulations. Under these laws, the release or transfer of export-controlled items or information to individuals who are not classified as "U.S. persons" (as defined by Immigration & Nationality Act) may require prior authorization from the U.S. government. We may require additional documentation related to national identity to determine whether an export compliance license is required for any export-controlled items. This information is requested solely for the purpose of complying with U.S. export control laws and will not be used for other purposes. Learn more about export compliance here.