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
Senior
MEMS Design Engineer
at nEye.ai, you will be responsible for the design, simulation, and optimization of MEMS devices that are critical components of our optical circuit switches. This role involves both technical execution and collaboration with multi-disciplinary teams. You'll work closely with Silicon Photonics, Mechanical, and Process Engineers to ensure our MEMS structures are not only high-performing but also robust and reliable for high-volume manufacturing. Your expertise in multi-physics modeling will be key to optimizing our designs and solving complex challenges.
Key Responsibilities
- MEMS Design & Optimization: Design and model MEMS structures, focusing on performance, reliability, and manufacturability
- Multi-Physics Simulation: Utilize multi-physics models (e.g., mechanical, electro-mechanical, fluid dynamics) to simulate device behavior and optimize designs
- Collaboration & Problem-Solving: (1) Work with internal teams to understand failure mechanisms and design for low FIT (failures in time) rates. (2) Troubleshoot fabrication issues and act as a liaison between the design team and foundry process engineers to resolve problems
- Product Lifecycle: (1) Contribute to the full product lifecycle, from initial concept and design through to high-volume manufacturing and qualification testing. (2) Design for Yield improvement
Minimum Qualifications
- Education: Master's or PhD degree in Applied Physics, Electrical Engineering, Mechanical Engineering, Materials Science, or a related technical field
- Experience: 5+ years of hands-on experience in MEMS design with a focus on product experience
- Experience with the design and fabrication of devices with nano-scale features
- Demonstrated experience in optimizing MEMS structures for performance and reliability using multi-physics models
- Deep understanding of failure mechanisms in MEMS devices
- Proficiency with 3D-CAD software and Finite Element Simulation software (e.g. COMSOL)
- Experience in analytical mechanical design focusing on stress/strain relationships in MEMS designs and wafer processing
Preferred Skills
- Experience with the design and fabrication of optical MEMS structures and the surface-micromachining process
- Experience in MEMS design for reliability
- Experience with advanced packaging technologies and their integration into the foundry process
- Experience in a fabless or semiconductor design company
- Strong communication and technical documentation skills, with the ability to articulate complex technical concepts to a variety of audiences
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.
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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.
