FY25 Graduate Engineering Enablement – Product Engineer

Come join Analog Devices (ADI) – a place where Innovation meets Impact. For more than 55 years, Analog Devices has been inventing new breakthrough technologies that transform lives. At ADI you will work alongside the brightest minds to collaborate on solving complex problems that matter from autonomous vehicles, drones and factories to augmented reality and remote healthcare.

ADI fosters a culture that focuses on employees through beneficial programs, aligned goals, continuous learning opportunities, and practices that create a more sustainable future. 

ADI At A Glance

Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $12 billion in FY23 and approximately 26,000 people globally working alongside 125,000 global customers, ADI ensures today’s innovators stay Ahead of What’s Possible. Learn more at www.analog.com and on LinkedIn.

Develop processes and procedures that will improve the quality of data analysis while improving engineering efficiency.   They will work with software development teams to automate data analysis and monitoring solutions ranging from standard reports to AI solutions identifying areas of highest concern.  In order to meet the global needs of the company, the role will involve close engagement with engineering, quality control, and global operations.  

Key responsibilities include:  

• Collaborate and gain alignment within cross-functional teams to develop process improvements through data analysis and problem solving.  

• Apply analytical and statistical methodologies to assess process capability, specifications, identify trends and provide appropriate conclusions for product reviews.  

• Provide training and mentoring to technical staff to strengthen capabilities in statistical methods and data-based decision making.  

• Interpret and communicate the results of data analytics and statistical analysis clearly and concisely to audiences with varying backgrounds and degrees of technical understanding.  

• Develop advanced data models and data analysis solutions to solve complex engineering challenges.  

Pre-Requisites :

• BSc in Statistics, Data Science, Electronic Engineering or a relevant discipline.  

• Strong foundational knowledge in statistics, data analytics, and quantitative analysis. 

• Possess strong written and verbal communication skills, with the ability to simplify complex concepts for varied audiences. 

• Ability to work both independently and in a team environment  

• Strong problem-solving skills  

Preferred Qualifications : 

• Bachelor’s degree in Statistics, Data Science, Electronic Engineering  

• Prior knowledge and experience with programming, data analysis and process modelling in tools such as Python, R, MATLAB, JMP, etc. is preferable.  

• Knowledge of software development practices, including lifecycle management, Git, and peer review, is a plus. 

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For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export  licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls.  As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.