Lead Software Engineer

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Cadence is a pivotal leader in electronic design, building upon more than 30 years of computational software expertise. The company applies its underlying Intelligent System Design strategy to deliver software, hardware and IP that turn design concepts into reality. Cadence customers are the world’s most innovative companies, delivering extraordinary electronic products from chips to boards to systems for the most dynamic market applications including consumer, hyperscale computing, 5G communications, automotive, aerospace industrial and health. At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Job Title: Lead Software Engineer. Location: Nottingham, United Kingdom                                                 Reports to: Sr Software Engineering Manager Job Overview: Ready to shape the future of engineering simulation? Join our Solver Team in Nottingham and help develop next-generation simulation technologies used by leading automotive, aerospace, motorsport, electric vehicle, and renewable energy companies worldwide. As a Lead Software Engineer, you will work at the intersection of mathematical modelling, high-performance computing, and software engineering to create advanced simulation solutions for complex multi-physics systems. You will help design cutting-edge numerical solvers, GPU-accelerated computing frameworks, and scalable software architectures, while establishing engineering best practices and shaping the technical direction for future product development.

Develop mathematical models and numerical methods to simulate thermal and structural interactions within complex engineering systems. Design and implement analytical and numerical solvers, including quasi-static and time-stepping algorithms for ordinary differential equations (ODEs) and partial differential equations (PDEs). Design and implement high-performance simulation software using modern C++ (C++17/20), delivering robust, scalable, and maintainable solutions. Develop and optimize compute-intensive algorithms using multithreading, SIMD techniques, and GPU acceleration technologies such as CUDA and OpenCL. Analyze software performance, identify computational bottlenecks, and implement optimizations across CPU and GPU architectures. Leverage AI-assisted engineering tools such as GitHub Copilot, Claude, or similar to improve development productivity while maintaining high engineering quality standards. Translate research concepts, prototypes, and proof-of-concepts into production-ready software. Collaborate closely with software developers, research engineers, product managers, and domain experts to deliver innovative simulation capabilities. Job Qualifications: A PhD in Physics, Mathematics, Mechanical Engineering, or a closely related discipline. We welcome applications from recent PhD graduates as well as those with several years of post-doctoral or industry research experience. Strong software development skills with demonstrated proficiency in modern C++. Deep understanding of object-oriented design, software architecture, and software engineering best practices. Strong knowledge of numerical methods, mathematical modelling, and computational problem solving. Experience developing performance-critical software or computational algorithms. Understanding of AI-assisted software development and practical use of LLMs, and agent-based development workflows. Additional Skills/Preferences:                      Experience in multi-body dynamics, multiscale modelling, finite element analysis, computational fluid dynamics, or other physics-based simulation domains. Knowledge of modern software development practices including CI/CD, automated testing, and DevOps workflows.