Reliability Engineer, Principal

MACOM designs and manufactures semiconductor products for Data Center, Telecommunication, and Industrial and Defense applications. Headquartered in Lowell, Massachusetts, MACOM has design centers and sales offices throughout North America, Europe, and Asia. MACOM is certified to the ISO
9001 international quality standard and ISO
14001 environmental management standard.

MACOM has more than 75 years of application expertise with multiple design centers, Si, GaAs, and InP fabrication, manufacturing, assembly and test, and operational facilities throughout North America, Europe, and Asia.  to view our facilities.  In addition, MACOM offers foundry services that represents a key core competency within our business.

MACOM sells and distributes products globally via a sales channel comprised of a direct field sales force, authorized sales representatives, and leading industry distributors. Our sales team is trained across all of our products to give our customers insights into our entire portfolio.

Reliability Engineer
- Principal

Job Description:

The Principal Reliability Engineer will lead in a "hands on manner" the execution of semiconductor process and product qualification projects. These projects will include compound semiconductor technologies such as GaN, and GaAs, integrated systems (board/module level) etc. They will be a technical contributor on a diverse range of complex technical problems and identify innovative solutions. Ability to execute multiple concurrent complex qualification projects independently with limited guidance.

Must be capable of successfully performing in a demanding, fast-paced environment.

Main

Duties and Responsibilities:

* Lead and conduct qualification projects of new semiconductor processes and products across a range of innovative technologies in accordance with JEDEC and other related standards

* Develop and conduct detailed semiconductor device characterisation to improve the reliability of products, processes or to solve complex technical problems, and demonstrate the ability to guide institutional learning on these methods

* Design and conduct accelerated evaluations of reliability using temperature, voltage, current & other stresses

* Perform advanced statistical analysis of life-test and qualification data; generate clear, data-driven technical reports and presentations.

* Interpret reliability risks and recommend innovative improvement/mitigation strategies to enable process and product roadmap schedules

* Be a lead technical contributor in identifying and implementing root-cause analysis on qualification failures/customer returns across existing product portfolio and within new products in process.

* Evaluate and recommend improvements to equipment maintenance, equipment and test set ups

* Must be able to communicate difficult technical concepts to both technical and non-technical internal and external customers

Qualifications:

* Bachelor's Degree in EE, EET, Physics or Material Science; graduate degree preferred (PhD is well regarded)

* A minimum of 7 years' experience in semiconductor reliability and failure analysis work.

* Detailed knowledge of semiconductor device physics, reliability and associated failure modes and mechanisms, predictive analysis.

* Experience with RF and DC Accelerated Life Test, HTOL, and their related PCB design, test fixture design and setup, and analysis of data

* Advanced knowledge of semiconductor processing, preferably with experience in GaN based processes.

* Experience with RF test equipment, such as spectrum analyzers, network analyzers, and power meters.

* An understanding of high speed RF and microwave characterization.

* Problem solving skills - must be capable of analyzing weakly defined requirements, ultimately defining the issues and developing long and short term solutions

* Extensive statistical software experience (JMP, Minitab, etc.).

* Working knowledge of statistical sampling plans used for inspection or test of components along with the ability to perform statistical data analysis on large data sets.

* Excellent written and verbal communication skills.

* Well-practiced organization and planning skills.

* Ability to work both…