Device Reliability Engineer

Avicena Tech; Sunnyvale (CA); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Equity

Comprehensive benefits

Job summary

Avicena in Sunnyvale is seeking a Device Reliability Engineer to own the reliability strategy for GaN microLED and photodetector devices powering the LightBundle interconnect platform. You will design accelerated stress tests, build lifetime and degradation models, and define qualification criteria to meet data-center and AI-infrastructure targets.

Qualifications include an MS/PhD in Electrical Engineering, Materials Science, or Physics, 5–8+ years in device reliability, and proficiency in

Qualifications

• MS or PhD in Electrical Engineering, Materials Science, Physics, or related field.
• 5–8+ years in device or product reliability engineering for semiconductor or optoelectronic devices.
• Strong command of accelerated life testing, statistical lifetime modeling, and acceleration-factor/failure-rate analysis.
• Familiarity with reliability qualification standards and methodologies (JEDEC, Telcordia, or equivalent).
• Solid understanding of degradation and wear-out mechanisms in semiconductor/optoelectronic devices.
• Proficiency in statistical analysis and scripting (e.g., Python, MATLAB, JMP) and clear technical reporting.

Responsibilities

• Reliability strategy: Define and own device-level reliability roadmaps, qualification tests, and acceptance criteria.
• Accelerated testing: Design and execute accelerated life tests and stress conditions and build test methodology.
• Lifetime modeling: Develop degradation and lifetime models and project field lifetime from accelerated data.
• Failure analysis: Identify wear-out mechanisms and validate fixes with Failure Analysis.
• Qualification: Drive device qualification against internal and industry standards and prepare reports.
• Cross-functional influence: Feed reliability learnings into design, process, and packaging; participate in DFx reviews.

Skills

Statistical analysis

Scripting

Data interpretation

Education

MS or PhD in Electrical Engineering, Materials Science, Physics, or related field

BS with equivalent industry experience

Tools

Python

MATLAB

JMP

Job description

• As a Device Reliability Engineer at Avicena, you will own the reliability and qualification strategy for our GaN microLED and photodetector devices powering the LightBundle™ interconnect platform.
• You will design accelerated stress tests, build lifetime and degradation models, and define the qualification criteria that ensure our devices meet demanding data-center and AI-infrastructure lifetime targets.

Job Title

Device Reliability Engineer

About The Role

• As a Device Reliability Engineer at Avicena, you will own the reliability and qualification strategy for our GaN microLED and photodetector devices powering the LightBundle™ interconnect platform.
• You will design accelerated stress tests, build lifetime and degradation models, and define the qualification criteria that ensure our devices meet demanding data-center and AI-infrastructure lifetime targets.

Responsibilities

• Reliability strategy: Define and own device-level reliability roadmaps, specification, qualification test plans (QTP), and acceptance criteria for GaN microLEDs and photodetector arrays.
• Accelerated testing: Design and execute accelerated life tests and stress conditions (temperature, current density, humidity, thermal cycling, ESD) and build the associated test hardware/methodology.
• Lifetime modeling: Develop degradation and lifetime models (e.g., Arrhenius, acceleration factors, Weibull/lognormal statistics) and project field lifetime from accelerated data.
• Failure-mode analysis: Identify and characterize wear-out and degradation mechanisms; partner with Failure Analysis to root-cause reliability fallout and validate fixes.
• Qualification: Drive device qualification against internal and industry standards (e.g., JEDEC/Telcordia-style methodologies) and prepare qualification reports for internal and customer use.
• Cross-functional influence: Feed reliability learnings back into device design, process, and packaging to improve robustness and margin; contribute to DfR (Design for Reliability) reviews.

Qualifications

• Education: MS or PhD in Electrical Engineering, Materials Science, Physics, or a related field (or BS with equivalent industry experience).
• Experience: 5-8+ years in device or product reliability engineering for semiconductor or optoelectronic devices.
• Reliability methods: Strong command of accelerated life testing, statistical lifetime modeling, and acceleration-factor/failure-rate analysis.
• Standards: Familiarity with reliability qualification standards and methodologies (JEDEC, Telcordia, or equivalent).
• Physics of failure: Solid understanding of degradation and wear-out mechanisms in semiconductor/optoelectronic devices.
• Analysis skills: Proficiency in statistical analysis and scripting (e.g., Python, MATLAB, JMP) and clear technical reporting.

Preferred Qualifications

• GaN microLEDs: Prior experience with GaN-based microLED or LED/laser reliability is strongly preferred but not required.
• Experience qualifying high-density emitter or detector arrays.
• Familiarity with packaging, hybrid-bonding, and heterogeneous-integration reliability.
• Experience defining reliability requirements for data-center, optical-module, or high-reliability applications.
• Track record building reliability test infrastructure from the ground up in a startup or early-product environment.

Compensation, Benefits & EEO

• Avicena offers a competitive compensation package including base salary, equity, and comprehensive benefits, along with the opportunity to make foundational contributions to a category-defining technology.
• Actual compensation will be determined based on experience, qualifications, and location.
• Avicena is an Equal Opportunity Employer.
• We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic.
• Applicants must be authorized to work in the United States.