Senior Epi & Fab Process Engineer (III-V Epitaxy)

About the role

Broadcom is looking for a highly motivated and experienced Process Engineer (Senior) with strong expertise in III-V epitaxy to drive the development and manufacturing of high-performance semiconductor devices, such as lasers for AI data centers. The role combines III-V epitaxial growth process development (MOCVD) with wafer fabrication, supporting both R&D and high-volume production, and covers process optimization, yield improvement and new product introduction.

Key responsibilities

• Lead the development, optimization and qualification of III-V epitaxial growth processes (mainly MOCVD) for various device structures to meet R&D and production needs.
• Drive continuous improvement of process quality, including uniformity, defect density and reproducibility.
• Support New Product Introduction (NPI) from design structure to manufacturable process flow.
• Collaborate with international teams on process development, troubleshooting and technology transfer.
• Use data analytics, AI/ML tools and statistical process control to improve process capability and manufacturing efficiency.
• Perform and support advanced characterization and failure analysis.

Required profile

• Master's or PhD in Physics, Materials Science, Electrical Engineering, Chemical Engineering or a related semiconductor field is preferred; bachelor's degree holders with strong relevant experience are also encouraged to apply.
• Fresh graduates with a Master's or PhD are encouraged to apply, as comprehensive training is provided.
• Proven track record developing and qualifying III-V epi processes for lasers, photodetectors or other optoelectronic devices is prioritized.

Required skills

• Hands-on experience in III-V epitaxial growth (MOCVD preferred).
• Deep understanding of epitaxial growth mechanisms, precursor chemistry, reactor dynamics and structure design for III-V materials (GaAs, InP, GaN, etc.).
• Knowledge of semiconductor materials and device physics, especially for laser applications.
• Experience with data analytics, statistical process control (SPC) and AI/ML tools for epitaxial process optimization is highly desirable.
• Familiarity with characterization tools such as SIMS, XRD, AFM, SEM, photoluminescence and Hall measurement is an advantage.