Graduate Product Validation and Characterization Engineer

For over four decades, Cirrus Logic has been propelled by the top engineers in mixed-signal processing. Our rockstar team thrives on solving complex challenges with innovative end-user solutionsfor the world\’s top consumer brands. Cirrus Logic is also known for its award-winning culture, built on a foundation of inclusion and fairness, meaningful community engagement, and delivering enjoyable employee experiences at every turn. But we couldn’t do it without our extraordinary workforce – and that’s where you come in. Join our team and help us continue to make Cirrus Logic an exceptional place to grow your career!

We have an exciting opportunity to be part of a collaborative, cross-functional development team validating and characterizing advanced mixed-signal products. You will play a critical role in supporting new product introductions and post-silicon validation. Our high-performance chips enable an incredible mixed-signal experience with highly integrated, platform-level functionality while delivering the lowest power consumption and highest efficiency.

As a Validation and Characterization Engineer, you will work closely with our cross-functional teams and will learn how our exceptional products work. You will have the opportunity to work alongside our world-class team to investigate product operation, designing high-performance PCBs and automated software along the way. We value continuous improvement, and your input will help to shape test infrastructure and processes.

Responsibilities:

• Bench test, debug, and characterization of embedded on-chip circuitry (amplifiers, data converters, power converters, etc.) to ensure functionality and performance as per the datasheet.
• Design, develop, and debug silicon validation and characterization board-level hardware and bring-up the platforms prior to first silicon.
• Develop automated test framework and regression test suites in Python to optimize validation efficiency.
• Architect and drive implementation of software framework methodologies based primarily in Python.
• Work with Validation and Production Test engineering peers to implement best practices and continuous improvements to Cirrus Logic backend test methodologies.
• Collaborate closely with Design Engineers, Systems Engineers, and Application Engineers to understand requirements and use cases.
• Analyze test results and identify failures/defects using business intelligence tools such as Spotfire, Excel and JMP.
• Support and develop automation software for test equipment including NI STS / PXIe platforms and bench-top instruments.
• Write technical reports/summaries of all data collected.

Required Skills and Qualifications:

• BSc, MSc or MEng in Electrical & Electronic Engineering.
• Electrical engineering knowledge in analog, digital, power electronics or audio engineering. This includes mixed-signal building blocks such as ADCs, DACs, PLLs, amplifiers, LDOs, SMPSs, signal processing and measurement, IC control/communication protocols.
• Experienced in scripting languages, Python preferred, for test automation and data analysis.
• Able to handle engineering tasks, on an as-needed basis, for example, in Characterization, Failure Analysis, Test Development, and Statistical analysis
• Ability to organize assignments and schedule time to drive deliverables within established timelines.
• Excellent communication skills and the ability to collaborate with others to solve routine problems.
• Excellent problem-solving, analytical & diagnostic skills

This position is based in our Edinburgh office, UK

You must be based within commutable distance of the work location listed on the job posting, or willing to relocate prior to beginning employment with Cirrus Logic.

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At Cirrus Logic, we believe that diversity drives innovation, and we are committed to encouraging an open and collaborative culture where different approaches, ideas, and points of view are respected and valued. We aim to promote a workplace where everyone can contribute irrespective of race, colour, national origin, religion or belief, gender or gender identity, sexual orientation, age, marital status, pregnancy status, or disability.

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