Lead Software Engineer

Location: HSINCHU

Time Type: Full time

Job Description

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

• Job Overview:
  We are seeking a highly skilled Lead Software Engineer to join our Conformal ECO R&D team in Hsinchu.
  In this role, you will drive the design and development of next‑generation ECO (Engineering Change Order) technology used by top semiconductor companies worldwide. You will work on high‑performance algorithms, formal verification engines, and advanced automation capabilities that enable seamless and correct-by-construction design modifications.
  This role offers the opportunity to make significant technical impact in a fast-growing product area and collaborate closely with global engineering teams.

• Job Responsibilities:
  • Develop core ECO algorithms, data models, and software components for Conformal ECO.
  • Debug, analyze, and resolve complex customer design scenarios, including large‑scale SoCs, hierarchical ECO, and sequential ECO cases.
  • Collaborate with global R&D teams to integrate ECO features with Genus, Innovus, LEC, and Cerebrus flows.
  • Drive innovation by proposing and implementing enhancements to improve runtime, memory, and ECO patch quality.
  • Work with field teams to understand customer use cases, reproduce issues, and deliver robust long‑term solutions.

• Job Qualifications:
  • Master’s, or PhD in Computer Science, Electrical Engineering, or a related technical field.
  • 5+ years of experience in EDA software development or formal verification.
  • Strong proficiency in C++ (required); Python or Tcl experience is a plus.
  • Experience with large-scale software systems, performance optimization, and debugging of complex codebases.
  • Deep understanding of Engineering Change Order (ECO) flows, including gate‑level patch generation, netlist transformation, and structural/functional equivalence.

• Additional Skills/Preferences:                          
  • Experience developing algorithms for ECO patch minimization, logic restructuring, or Boolean/graph optimization.
  • Experience analyzing timing‑driven, physically‑aware ECO flows, including interactions with place‑and‑route tools (Innovus preferred).
  • Strong problem‑solving skills and ability to work independently in a fast‑paced environment.
  • Excellent communication skills for cross‑team technical collaboration.

• Additional Information:
  • The ECO R&D team works closely with global teams in US/India/China on core infrastructure and advanced ECO automation.
  • Tools/Technologies: C++, Python, Tcl, Git, Conformal/Genus/Innovus

• Travel:
  • Minimal (<10% domestic/international), primarily for collaboration or technical alignment if required.

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