Sr. Engineer, Photonics Module Reliability

Ayar Labs•San Jose, CA

29d•$160,000 - $192,000•Onsite

About The Position

We are seeking a highly skilled and hands-on Senior Photonics Module Reliability Engineer to join our growing team. In this role, you will be responsible for driving reliability testing across cross-functional teams and executing on these initiatives to enhance the reliability of our semiconductor modules. We are looking for someone with strong planning, analytical, and communication skills to enhance our team.

Requirements

Master's degree in Electrical Engineering, Materials Science, Physics, or a related field
3+ years of experience with optical module reliability testing
Experience working with lasers, photodetectors, and optical packaging including identifying their failure mechanisms and solving their reliability challenges
Demonstrated initiative in proactively identifying and addressing challenges
Proficiency in statistical analysis techniques, including Weibull analysis, accelerated life modeling, and reliability prediction
Knowledge of industry standards and specifications, such as JEDEC, MIL-STD, or AEC-Q

Nice To Haves

Ph.D. in Electrical Engineering, Materials Science, Physics, or a related field
Experience in Silicon Photonics
Experience in setting up laboratory equipment and DOEs
Experience with failure analysis techniques, such as SEM, EDX, and FIB
Experience with advanced reliability techniques, such as physics-of-failure modeling and accelerated degradation modeling
Experience with reliability certification and qualification processes
Experience with reliability tools and software, such as JMP, Minitab, or ReliaSoft

Responsibilities

Develop and execute on-site reliability tests, including accelerated life testing (ALT), highly accelerated life testing (HALT), and environmental stress screening (ESS)
Interface with third-party vendors to clearly define and negotiate details of off-site reliability testing
Analyze photonics module reliability data to identify failure modes, mechanisms, and root causes
Analyze component reliability data to identify potential failure modes as well as gaps to standards such as the Telcordia GR-468
Conduct reliability risk assessments and develop mitigation plans
Collaborate with design and process engineering teams to implement design and process changes to improve product reliability
Utilize statistical analysis techniques to assess product reliability and predicatively model field performance
Identify and implement reliability improvement strategies, such as design for reliability (DFR) and design for manufacturability (DFM)
Communicate complex technical information to a wide range of audiences, including reliability engineering, design engineering, management, and customers
Utilize statistical software to perform data analysis and modeling