MTS Process Integration Engineer

KYOCERA SLD LASER INCFremont, CA
$157,000 - $185,000Onsite

About The Position

The MTS Process Integration Engineer is responsible for driving new product introduction activities including designing, developing, and optimizing processes and products. They work closely with cross-functional teams to drive process improvements and solve technical challenges.

Requirements

  • Graduate degree in Applied Physics, Electrical Engineering, Materials Science, Chemistry, Mechanical Engineering, or a related physical science discipline.
  • Minimum of 5 years of direct experience in an optoelectronic company, with a focus on one or more laser categories: high-power multimode lasers, or low-power single-mode lasers, DFBs, photonic integrated circuits (PICs), SOAs.
  • Experiences on diverse grating process methodologies on Gallium Nitride are a big plus, from photolithography, ebeam-lithography, holographic, nanoimprint.
  • Experience with mask design tool (L-Edit, Cadence or Klayout)
  • Experience with several of the following processes and tools for Gallium Nitride processes: ICP, RIE, PECVD, E-beam deposition, lithography , Sputter, ellipsometer, SEM, AFM, profilometers.
  • Strong dataset process analysis using software such as JMP or Python
  • Experience in a quality certified environment, i.e. ISO9001, 5S, 8D, lean six sigma
  • Strong communication and teamwork abilities.

Responsibilities

  • Collaborate with the R&D to translate laser design requirements into manufacturable processes.
  • Develop, design, and optimize manufacturing processes and systems for the production of various products, ensuring adherence to quality standards and specifications.
  • Implement process flow and maintain process control techniques and practices to ensure high yield and uniformity across production batches.
  • Collaborate with Rel/FA engineers to conduct rigorous analysis and characterization of fabricated devices to ensure they meet the specified performance criteria, utilizing tools like SEM, AFM, and optical microscopy.
  • Utilize data analysis and statistical tools for data mining process and devices parameters and implement data-driven solutions for improvement.
  • Document all process developments, modifications, and optimizations for future reference and continuous improvement.
  • Ensure compliance with industry and company quality standards and participate in quality control initiatives.
  • Follow safety guidelines and environmental regulations and contribute to sustainability and safety initiatives.
  • Monitor and manage production costs, identify areas for cost reduction, and work on cost-effective solutions.
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