Lead Software Engineer

Job description

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

Position

Lead Software Engineer (Python API/agentic)

Location

Noida Experience: 4-6 Years Job Overview: Cadence Design Systems is seeking a Lead Software Engineer to help lead the GUI and core workflow architecture for Quantus Insight , our next-generation parasitic extraction platform. Built from scratch less than four years ago, this modern codebase offers a rare EDA environment: minimal legacy burden with significant opportunities for greenfield project work. Based in the Quantus Insight R&D (Digital & Signoff Group), you will collaborate closely with leadership to design the application architecture using the Qt Framework and optimize the core structures supporting it.

Because our databases frequently exceed one billion elements, you will solve complex scalability challenges by designing highly optimized, multi-threaded workflows with UI support that maintain high performance under heavy data loads. This position also offers the opportunity to integrate Agentic AI workflows, transitioning a standard desktop GUI into an AI-assisted development environment. Backed by strong internal investment and access to advanced models, this role allows you to develop skills in LLM workflows while shaping technology used to design electronic devices worldwide.

Job Responsibilities

• Architecture & Design (Core Engine & Workflow)

High-Load Dataflow & Workflow Engineering

Design, organize, and standardize robust internal dataflows, defining how massive datasets smoothly migrate between the computational backend and downstream platform workflows.

Core Optimization

Architect high-performance, UI-agnostic core structures and algorithms to optimize data throughput, memory footprints, and heavy computation cycles.

Asynchronous Multi-Threading

Implement advanced multi-threading and parallel processing patterns to isolate heavy background database operations from the application's interactive layers.

Agentic AI Integration Workflow Composition

• Compose and orchestrate our existing system functionalities and APIs into a unified, next-generation AI-native workflow.

LLM Integration

Expose internal application states, core structures, and tool operations via clean programmatic interfaces accessible to LLMs.

Dynamic UI Syncing

Ensure that autonomous actions, modifications, and state changes executed by the AI agent are instantly reflected and dynamically updated within the Qt user interface.

End-to-End Automation

Help shape a system where AI acts as an autonomous active user—capable of running verification checks, interpreting results, and programmatically driving the software.

GUI Development (Qt Framework) Widgets Implementation

• Drive the hands-on development and implementation of the Quantus Insight graphical user interface using C++ and the Qt Widgets framework.

Big Data Presentation

Build and customize high-scale Qt Model/View components (trees, tables, forms) optimized for lazy loading, data paging, and minimal memory overhead.

Linux Environment Profiling

Deeply profile, debug (using GDB/Valgrind), and tune UI performance under extreme memory and CPU utilization in Linux desktop environments.

Job Qualifications & Experience

Education: Bachelor’s, Master’s, or PhD in Computer Science, Software Engineering, or a related technical field.

Experience

4+ years of professional software development experience (or 5+ years with an advanced degree) focused on complex desktop application UIs.

Required Skills

Expert C++: Deep proficiency in modern C++ (C++ 17 or newer) including STL High-Performance Computing: Proven track record in multi-threading, parallel programming, and data structure optimization.

Linux Expertise

Advanced development, debugging (GDB, Valgrind), and performance profiling in Linux environments.

Software Engineering

Strong grasp of object-oriented design, design patterns, and the full Software Development Life Cycle.

Scripting

Proficient in Python for automation and tool integration.

Additional Skills/Preferences

QT Framework: Experience with the Qt framework for GUI development is a big plus.

EDA Experience

Knowledge of parasitic extraction, layout connectivity, or physical verification.

AI/LLM Application (Experienced or Aspiring)

Hands-on experience building agentic workflows or working with LLM APIs (e.g., OpenAI, Anthropic) is highly desirable; however , a strong personal interest, hobbyist experimentation, and a willingness to learn how to apply AI concepts to core software engineering workflows will work perfectly.

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