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Assistant Mems Engineer Jobs (NOW HIRING)

... MEMS-based silicon photonics optical circuit switches (OCS) eliminate critical bottlenecks in AI ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Electrical Engineer - PL

Plymouth, MN · On-site

$113K - $150K/yr

Minimum 5 years' experience doing IC or MEMS layout using Cadence Virtuoso, from initial conception ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

HPC Hardware Engineer

Milpitas, CA · On-site

$95K - $161K/yr

Customers from the foundry, logic, memory, automotive, MEMS, advanced packaging and other markets ... Select & validate hardware - Assist with component selection (CPU, memory, storage, networking) and ...

Customers from the foundry, logic, memory, automotive, MEMS, advanced packaging and other markets ... Select & validate hardware - Assist with component selection (CPU, memory, storage, networking) and ...

HPC Hardware Engineer

Milpitas, CA · On-site

$95K - $161K/yr

Customers from the foundry, logic, memory, automotive, MEMS, advanced packaging and other markets ... Select & validate hardware - Assist with component selection (CPU, memory, storage, networking) and ...

Customers from the foundry, logic, memory, automotive, MEMS, advanced packaging and other markets ... * Assist in the development and maintenance of customized Windows OS images aligned with KLA ...

HPC Hardware Engineer

Milpitas, CA · On-site

$95K - $161K/yr

Customers from the foundry, logic, memory, automotive, MEMS, advanced packaging and other markets ... Select & validate hardware - Assist with component selection (CPU, memory, storage, networking) and ...

Customers from the foundry, logic, memory, automotive, MEMS, advanced packaging and other markets ... * Assist in the development and maintenance of customized Windows OS images aligned with KLA ...

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Assistant Mems Engineer information

See salary details

$33K

$88.8K

$134.5K

How much do assistant mems engineer jobs pay per year?

As of Jul 21, 2026, the average yearly pay for assistant mems engineer in the United States is $88,754.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,500.00 and $104,500.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Mems Engineer jobs? The most popular types of Mems Engineer jobs are:

Senior Materials and Surface Science Engineer

nEye.ai

Santa Clara, CA • On-site

$230K - $270K/yr

Full-time

Posted 23 days ago


Job description

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 OCS is an ultra-low power consumption, high radix, compact chip-scale design, offering hyperscale data centers enhanced performance, efficiency, and scalability.
Job Overview
We are looking for a senior individual contributor with deep expertise in materials science and surface chemistry as it applies to semiconductor fabrication and optical systems.
This role is critical to understanding and improving how fabrication processes at the material and interface level impact optical performance in our silicon photonics devices.
You will work across design, process, and test to analyze, diagnose, and improve material interfaces, thin films, and surface interactions that directly affect device behavior, reliability, and yield.
Key Responsibilities
  • Investigate how surface chemistry and material interfaces in silicon-based photonic and MEMS material systems impact performance
  • Analyze effects of etching, deposition, oxidation, and plasma processes on surface states, morphology, and optical mechanisms
  • Partner with design and process teams to translate material-level insights into improved device performance and manufacturability
  • Lead investigations connecting fabrication outcomes to device-level optical and mechanical performance
  • Design and interpret experiments involving thin films, interfaces, and surface treatments (e.g., passivation, cleaning, annealing)
  • Collaborate with fabrication partners on process evaluation and optimization
  • Utilize and guide characterization efforts using techniques such as SEM, TEM, AFM, XPS, ellipsometry, SIMS, etc.
  • Develop models or frameworks that connect process to material properties and optical outcomes

Required Qualifications
  • PhD in Materials Science, Applied Physics, Electrical Engineering, or related field
  • 7 - 15+ years of experience in semiconductor, photonics, or adjacent advanced materials environments
  • Deep understanding of surface chemistry and interface physics in semiconductor systems
  • Expertise in dielectric and semiconductor thin films and metallization.
  • Strong knowledge of plasma processes, etching, deposition, oxidation, and their impact on materials
  • Strong intuition for how material properties affect optical phenomena
  • Experience working in or closely with semiconductor fabs / foundries
  • Hands-on experience with failure analysis and materials characterization techniques

Nice to Have Skills
  • Direct experience with silicon photonics or optical devices
  • Familiarity with waveguides, optical interfaces, or photonic integration
  • Experience in MEMS fabrication or integration
  • Background in process development or integration engineering
  • Exposure to modeling optical-material interactions

$230,000 - $270,000 a year
Starting salary and title will depend on, and be commensurate with, relevant industry experience, skills, training, education, market demands, and the ultimate job duties and requirements.
nEye.ai 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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.