Hardware Test Engineer
Lumilens
Hardware Test Engineer
Lumilens
Photonic interconnects for AI infrastructure
Hardware Test Engineer
About Lumilens
At Lumilens, we are building critical photonics infrastructure powering tomorrow’s AI supercomputing. From chip-to-chip optical interconnects to scalable photonic engines, Lumilens is unlocking a new era of computing—faster, cooler, and massively more efficient. Join our collaborative team to shape the future of high-speed optical connectivity.
Position Overview
Lumilens is seeking a skilled Hardware Test Engineer with 10-12 years of experience to join our innovative hardware team. In this role, you will be responsible for ensuring the quality, reliability, and compliance of our high-performance photonics and semiconductor solutions through rigorous hardware testing practices. You will play a key role in the development lifecycle, collaborating with engineering and manufacturing teams to deliver products that meet the highest standards.
Key Responsibilities
Design and execute comprehensive hardware test plans and test cases for new product introductions and existing hardware platforms
Develop and maintain automated test setups, utilizing industry-standard frameworks and tools
Analyze and debug hardware issues, working cross-functionally with design and development teams
Ensure testing aligns with industry standards and regulatory requirements
Interpret hardware schematics and datasheets to facilitate thorough testing methodologies
Conduct environmental testing, including thermal and humidity assessments
Perform and document EMC (Electromagnetic Compatibility) tests as needed
Operate a variety of test equipment, including oscilloscopes, multimeters, and logic analyzers
Maintain detailed test records, results, and reports for product validation and compliance
Required Technical Skills
Proficiency in hardware testing methodologies and best practices
Strong knowledge of electrical and electronic systems
Experience designing and executing test plans and test cases
Familiarity with test automation tools and frameworks
Ability to read and interpret hardware schematics and datasheets
Knowledge of industry standards and regulations for hardware testing
Understanding of signal integrity and power integrity concepts
Proficiency using test equipment, such as oscilloscopes, multimeters, and logic analyzers
Experience with hardware debugging and troubleshooting techniques
Understanding of digital and analog circuit design principles
Familiarity with environmental testing (temperature and humidity chambers)
Understanding of electromagnetic compatibility (EMC) testing
Qualifications
Bachelor’s or Master’s degree in Electrical Engineering, Electronics, or a related field
10-12 years of hands-on experience in hardware testing within optical, semiconductor, or related technology sectors
Strong analytical, organizational, and collaborative communication skills
Why Join Lumilens?
Work at the forefront of AI, networking, and optical semiconductor technology
Collaborative and innovative environment
Opportunities for career growth
Competitive salary and comprehensive benefits package
Lumilens is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or any other protected characteristic.
Lumilens designs and manufactures optical interconnect products to accelerate AI infrastructure. It provides high-density photonic interconnects—such as high-density pluggable, near-packaged, and co-packaged optics—built with in-house silicon photonics to scale GPU clusters in AI data centers. Its products include 800G and 1.6T optical transceivers for AI networking, and it is pursuing broader integration like Electrical-Optical Interposers through a strategic partnership with POET Technologies. The company differentiates itself through vertical integration, custom robotics-driven manufacturing, and AI-optimized production processes that aim to improve yield and supply chain stability. Lumilens targets hyperscalers and large AI providers, seeking to move interconnect bottlenecks from compute to scalable, efficient data-center networks. Its goal is to enable faster, denser GPU connectivity to support growing AI workloads and models.
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