Lead Software Engineer (AI)

TL;DR

Lead Software Engineer (AI/EDA): Architecting and validating next-generation pre-silicon verification methodologies by integrating LLMs and machine learning with an accent on automating functional verification. Focus on developing agentic AI solutions to accelerate the design verification process and streamlining traditional UVM and Formal verification workflows.

Location: Hsinchu, Taiwan

Company

hirify.global is a leading provider of electronic design automation (EDA) software and hardware tools for the semiconductor industry.

What you will do

• Apply machine learning techniques to streamline pre-silicon functional verification methodologies like Formal and UVM.
• Develop agentic AI solutions using LLMs and latest ML technologies to accelerate the Design Verification process.
• Employ AI-enhanced EDA tools to improve and expedite the design and verification lifecycles.
• Collaborate with machine learning and software engineering teams to validate output correctness, efficiency, and quality.
• Engage directly with customers to understand requirements and deliver practical, innovative verification strategies.

Requirements

• Bachelor's degree in Electrical or Computer Engineering with 4+ years of experience, or a Master's degree with 2+ years of experience.
• Proven hands-on expertise in pre-silicon ASIC verification methodologies (Formal, SV/UVM, or OVM).
• Strong programming skills in Verilog, System Verilog, and Python.
• Experience with industry-standard EDA tools such as Jasper, Xcelium, and IMC.
• Advanced skills in debugging pre-silicon verification failures using waveform viewers and simulation analysis tools.

Nice to have

• Exposure to LLMs and ML technologies including RAG, RFT, RL, and Agentic frameworks.

Culture & Benefits

• Opportunity to work at the forefront of semiconductor design and AI innovation.
• Collaboration with a highly skilled team of machine learning and software engineers.
• Focus on solving complex technical challenges that impact the global technology landscape.