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Sr. Product Engineer, Project Kuiper

Salary undisclosed

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Project Kuiper is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to unserved and underserved communities around the world.

Come work at Amazon!

The Role:

As Senior Semiconductor Product Engineer, you will engage with an experienced cross-disciplinary staff to conceive, design, and manufacture innovative semiconductor solutions for Kuiper's satellite and ground terminal products. You will work closely with internal inter-disciplinary teams and third-party suppliers to drive key aspects of semiconductor product manufacturing, test, qualification, and reliability to meet our customers' needs. You must be responsive, flexible and able to succeed within an open collaborative peer environment.

In this role you will:

\tAnalyze foundry WAT data from development, corner lots and qual lots.

\tDrive test program reviews with design, test and system teams.

\tCollaborate with TE and outsource partner in test program bring-up and evaluation.

\tDefine char plans and corner lots, and then oversee execution of char data collection and analysis at outsource partner.

\tInterface between outsource partner and design / test teams to identify bugs, and support fixes during product bring-up.

\tDrive test-time reduction by RF-DC and FT-WS correlation and reject-oriented analysis.

\tDefine qual plans based on evaluation of mission profile and execute to defined qual plans.

\tDefine test plans and limits for production lots, corners lots, and pre-/post-qualification lots based on system specs, and yield & Cpk targets.

\tIdentify root cause and drive fixes for any failures reported during qual.

Export Control Requirement:


BASIC QUALIFICATIONS

\tBachelor's degree in electrical/communications engineering or related field, or equivalent experience.

\t7+ years of experience in semiconductor product engineering or foundry process operations, preferably in high-volume wireless SoC devices manufacturing.

\tUp to 20% domestic or international travel required.

PREFERRED QUALIFICATIONS

\tMasters or PhD degree in Electrical / Communications Engineering or related field.

\tExcellent oral and written communications skills.

Strong technical background in one or more of the following:

\tRF product development and characterization experience.

\tKnowledge of digital and Serdes testing.

\tExperience interfacing with suppliers and external partners.

\tProficiency in statistics, data analysis and YMS products such as Exensio and JMP - scripting skills preferred.

\tNew product introduction, with transition from design phase, through qualification and into high volume manufacturing environment.

\tConversant with failure analysis techniques such as FIB, SEM, IR, EMMI, and CSAM.

\tKnowledgeable with package technologies such as FCBGA, FCCSP, WLCSP, and QFN.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit ;br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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