Lead Software Engineer

Job Title

Lead Software Engineer

Role Summary

Lead design and implementation of the GUI and core workflow architecture for Quantus Insight, a high-scale parasitic extraction platform. Work on application architecture, performance optimization, multi-threaded workflows, and integration of agentic AI features.

Member of the Quantus Insight R&D (Digital & Signoff Group); collaborate with engineering leadership to deliver scalable, high-performance desktop tools used in electronic design workflows.

Experience Level

Senior — 4–6 years of professional software development experience (posting specifies 4+ years; 5+ years expected with an advanced degree).

Responsibilities

Design and deliver scalable, high-performance desktop application components and AI-assisted workflows.

• Architect high-load dataflows and workflows between backend compute and frontend UI.
• Design and optimize core, UI-agnostic data structures and algorithms for throughput and memory efficiency.
• Implement asynchronous multi-threading and parallel processing to isolate heavy database operations from interactive UI.
• Develop and maintain the Qt-based GUI using C++ (widgets, Model/View components optimized for large datasets).
• Integrate LLM/agentic workflows by exposing programmatic interfaces and syncing autonomous agent actions with the UI.
• Profile, debug, and tune performance in Linux desktop environments (GDB, Valgrind) under heavy CPU and memory load.
• Enable end-to-end automation where AI can run verification checks, interpret results, and programmatically drive the software.

Requirements

Technical skills and experience required to perform the role; separated into must-have and nice-to-have.

• Must-have
  • Expert modern C++ (C++17 or newer) and STL.
  • Proven experience with multi-threading, parallel programming, and high-performance data structures.
  • Strong Linux development and debugging skills; experience with GDB and Valgrind and performance profiling.
  • Proficient in Python for automation and tool integration.
  • Solid software engineering fundamentals: OOP, design patterns, and SDLC practices.
  • Experience building large-scale UI components (lazy loading, paging) and optimizing memory/throughput for big datasets.
• Nice-to-have
  • Experience with the Qt framework for GUI development.
  • Background in EDA topics such as parasitic extraction, layout connectivity, or physical verification.
  • Hands-on experience or strong interest in agentic AI / LLM integration and building AI-native workflows.

Education Requirements

Bachelor's, Master's, or PhD in Computer Science, Software Engineering, or a related technical field; or equivalent practical experience.

About the Company

Company: Cadence Design Systems

Headquarters: San Jose, California, USA

Cadence Design Systems is a global electronic design automation company that provides software, hardware, and intellectual property for designing advanced semiconductor chips. With over 25 years in the industry, Cadence is known for its innovative technology solutions and has been recognized by Fortune Magazine as one of the 100 Best Companies to Work For. The company is dedicated to solving complex technical challenges in order to enable customers to create revolutionary products and experiences.