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# Lead Software Engineer

- **Company:** Cadence Design Systems, Inc.
- **Location:** Nottingham, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Computer-Aided Design, Artificial Intelligence, Software Applications, Application Performance Management, Automation of Tests, Microsoft Azure, C Sharp (Programming Language), Code Review, Continuous Integration, Software Debugging, Software Design Patterns, DevOps, Language Integrated Query, Memory Management, Extensible Application Markup Language, Github, Python (Programming Language), Windows Presentation Foundation, Model View ViewModel, Object-Oriented Software Development, Software Architecture, Software Maintenance, Software Tools, Software Engineering, Software Systems, Data Streaming, Cloud Platform System, Modern Ui, GitHub Copilot, Large Language Models, Multi-Agent Systems, Templating, Information Technology, Asynchronous Programming, Restful APIs, Software Performance, Data Binding
- **Published:** September 10, 2026
- **Apply:** https://www.totaljobs.com/job/lead-software-engineer/cadence-design-systems-job107964281

## About the Role

* A degree in Computer Science, Software Engineering, or a related technical discipline, or equivalent professional experience. Typically, candidates will bring 4-7 years of relevant software development experience, with strong evidence of technical growth and delivery.
 * Deep understanding of WPF, including XAML, data binding, dependency properties, control templating, styles, and MVVM patterns.
 * Strong knowledge of asynchronous programming using async/await and task-based design patterns.
 * Experience working with LINQ, generics, delegates, events, collections, and modern C# language features.
 * Practical experience using AI-assisted development tools such as GitHub Copilot, Claude, or similar technologies.
 * Strong understanding of software performance, memory management, debugging, and troubleshooting techniques.
 * Experience designing and delivering complex software features from concept to production.
 * Ability to evaluate technical trade-offs and make sound architecture and design decisions.
Additional Skills/Preferences:

 * Experience developing AI-enabled software solutions, including integration of REST APIs, Python-based automation, Model Context Protocol (MCP), agent frameworks, and structured tools that expose product capabilities to AI assistants and autonomous agents.
 * Experience developing engineering, simulation, CAD, CAE, EDA, scientific, or other technical software applications.
 * Familiarity with mathematical concepts such as linear algebra, complex numbers, and numerical techniques commonly used in scientific and engineering software applications.
 * Knowledge of cloud-connected desktop applications and hybrid desktop/cloud architectures.
 * Experience with automated testing, CI/CD pipelines, and modern DevOps practices.
 * Knowledge of software architecture patterns, design patterns, and large-scale application modernization initiatives.
Additional Information:

This role is based in our Nottingham office, with a hybrid working arrangement of at least 3 days per week on-site. You will join a collaborative, cross-functional product development team and work closely with product managers, UX designers, QA engineers, and domain experts. The team uses modern tooling including GitHub, Azure DevOps, and AI-assisted development environments.

## Description

Working across the full software lifecycle, from requirements and architecture through to implementation, testing, and deployment - you will drive engineering excellence and help shape the technical direction of our products., * Design, develop, and maintain high-quality software applications using C#, .NET, and WPF.

 * Implement scalable and maintainable software solutions using object-oriented design principles, asynchronous programming patterns, and modern software architecture practices with a strong focus on usability, performance, and long-term extensibility.
 * Leverage AI-assisted engineering tools, including Large Language Models (LLMs), to improve development productivity while maintaining high engineering quality standards.
 * Develop rich user interfaces using XAML, data binding, control templating, dependency properties, and modern UI design patterns.
 * Design end-to-end workflows that consider integration points, data flow, reliability, and failure modes across multiple systems and products.
 * Lead the delivery of complex features from initial concept through implementation, testing, release, and post-release support.
 * Drive engineering best practices through code reviews, technical mentoring, design discussions, and continuous improvement initiatives.
 * Optimize application performance, responsiveness, memory utilization, and scalability.
 * Collaborate closely with product managers, UX designers, software engineers, QA engineers, and domain experts to deliver customer-focused solutions.
 * Contribute to architectural decisions, technical roadmaps, and long-term platform strategy.