Reliability Engineer

About Us:

nEye.ai, a well-funded optical switch startup, is poised to revolutionize the future of data centers. nEye’s MEMS-based silicon photonics optical circuit switches (OCS) eliminate critical bottlenecks in AI processing by enabling direct optical connections among thousands of GPUs and memory units. The company's SuperSwitch is an ultra-low power consumption, high radix, compact chip-scale design, offering hyperscale data centers enhanced performance, efficiency, and scalability.

Job Overview:

As a Reliability Engineer at nEye, you will work closely with the Lead Reliability Engineer to develop, execute, and analyze reliability test programs that ensure the long-term performance of our MEMS and silicon photonic devices. This is a high-growth, technically-focused role designed for early-career engineers who are passionate about understanding failure mechanisms, stress testing advanced devices, and building toward expertise in FIT rate modeling and qualification strategy. You will contribute directly to reliability testing, data interpretation, and failure analysis while gaining exposure to the full lifecycle of reliability qualification in telecom-grade environments.

Key Responsibilities

• Support the development and execution of reliability test plans for MEMS, silicon photonic, and associated electronic components.
• Perform accelerated life testing (e.g., temperature, humidity, shock, vibration) to identify degradation and failure trends.
• Collaborate with test engineering to design and optimize reliability test setups, including scripting or automation support.
• Collect, analyze, and interpret reliability data using statistical techniques (e.g., Weibull, lognormal models, Arrhenius acceleration).Assist with failure mode analysis and contribute to root cause investigations in partnership with failure analysis, packaging, and process teams.
• Document test procedures, results, and findings in structured reports aligned with qualification and industry standards.
• Develop and automate reliability test setups using Python or LabVIEW, including instrument control, data acquisition, and repeatable stress-test execution.
• Contribute to design-for-reliability (DfR) feedback loops to improve device robustness and enable qualification readiness.
• Gain increasing ownership over reliability programs with the goal of maturing into a senior reliability leadership track.

Essential Skills

• Bachelor’s or master’s degree in Materials Science, Electrical Engineering, Mechanical Engineering, Physics, or a related field.
• 2 - 7 years of experience in reliability engineering, device physics, semiconductor test, failure analysis, or related fields (academic + industry combined acceptable).
• Foundational understanding of reliability concepts such as failure mechanisms, acceleration models, and FIT rate concepts.
• Hands-on experience with device testing, test instrumentation, or stress testing environments.
• Ability to analyze test results using tools such as Python, MATLAB, JMP, or equivalent.
• Strong analytical and problem-solving abilities with a passion for understanding how and why devices fail.
• Excellent communication skills and ability to clearly document technical work.
• Familiarity with optical or electrical degradation testing and measurement techniques is essential.

Preferred Skills

• Experience with MEMS, silicon photonics, or semiconductor device-level reliability.
• Exposure to reliability standards (e.g., JESD22, AEC-Q100, Telcordia, MIL-STD).
• Familiarity with failure analysis techniques (SEM, FIB, optical inspection, X-ray imaging).
• Experience contributing to FMEA / DFMEA processes.
• Knowledge of reliability modeling with activation energies and stress acceleration.

$125,000 - $200,000 a year

Expected Salary Range and Title: $125,000-$200,000 annually. Starting salary and title will depend on, and be commensurate with, relevant experience, skills, training, education, market demands, and the ultimate job duties and requirements.

nEye is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.