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Cadence Design Systems

Software Engineer I - Computational Fluid Dynamics (CFD)

London
Posted about 16 hours ago
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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: Software Engineer I

Location: London, United Kingdom

Reports to: Sr Principal Software Engineer


Job Overview:

This is an exciting opportunity for an early-career software engineer to join Cadence’s Solver team and contribute to high-performance, physics-based simulation software used by engineers around the world. Working alongside experienced engineers and computational scientists, you will build and extend tools that model complex physical systems, including Computational Fluid Dynamics (CFD) applications spanning meshing, solvers, and flow networks. This role is designed for someone eager to grow their software engineering craft in a technically rich, collaborative environment where your work has real-world impact.


Job Responsibilities:

  • Develop and maintain software features that extend solver capabilities across CPU and GPU platforms, guided by senior engineers.
  • Implement new functionality in pre- and post-processing code, ensuring correctness, performance, and maintainability.
  • Collaborate with software engineers, product managers, and technical account managers to understand requirements and deliver high-quality solutions.
  • Participate in sprint planning, sprint reviews, and feature design meetings, contributing to project planning and continuous improvement.
  • Debug and troubleshoot defects in a systematic way, maintaining application performance and code quality.
  • Write and maintain unit tests, integration tests, and regression tests as part of the standard development workflow.
  • Engage in code reviews to give and receive constructive technical feedback, supporting a culture of quality and shared ownership.

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Job Qualifications:

  • A degree (or equivalent experience) in Physics, Mechanical Engineering, Aerospace Engineering, Computer Science, Mathematics, or a closely related technical discipline.
  • Proficiency in modern C++ (C++17/20) through academic projects, coursework, or personal/open-source work.
  • Strong mathematical foundations, particularly in areas relevant to physical simulation (e.g. linear algebra, differential equations, numerical methods).
  • An understanding of software development fundamentals: version control (e.g. Git), testing practices, and structured problem-solving.

Additional Skills/Preferences:

  • Exposure to CFD principles or numerical methods, through study or personal projects.
  • Familiarity with parallel computing concepts or frameworks (e.g. OpenMP, MPI).
  • Any experience with GPU APIs such as CUDA.
  • Experience working in an Agile development team.
  • Background in scientific or engineering software, scientific visualisation, or CAD tools.
  • Clear and confident communication with both technical and non-technical stakeholders.
  • Methodical, process-oriented approach to software development.
  • Ability to manage time effectively and prioritise tasks in a deadline-driven environment.

Additional Information:

You will join a collaborative Solver team working at the intersection of scientific computing and production software engineering. The team operates using Agile methodologies with regular sprint cycles, design reviews, and cross-functional collaboration. You will have access to experienced mentors and structured onboarding to help you develop quickly. Tools and technologies in use include modern C++, GPU computing frameworks, version control systems, and internal simulation platforms.


Check what we can offer you:

  • Competitive salary
  • 25 days holiday per year
  • Private Medical and Dental plans, Income Protection and Life Insurance
  • Group Personal Pension Plan
  • Cycle to work scheme and gym subsidy
  • 5 days paid time to volunteer to give back to our communities
  • Employee Stock Purchase Plan
  • The opportunity to work for a Great Place to Work© & Fortune 100 organization

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Cadence is committed to equal employment opportunity and employment equity throughout all levels of the organization. We strive to attract a qualified and diverse candidate pool and encourage diversity and inclusion in the workplace.

We’re doing work that matters. Help us solve what others can’t.


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Cadence plays a critical role in creating the technologies that modern life depends on. We are a global electronic design automation company, providing software, hardware, and intellectual property to design advanced semiconductor chips that enable our customers create revolutionary products and experiences. Thanks to the outstanding caliber of the Cadence team and the empowering culture that we have cultivated for over 25 years, Cadence continues to be recognized by Fortune Magazine as one of the 100 Best Companies to Work For. Our shared passion for solving the world’s toughest technical challenges, our dedication to pushing the limits of the industry, and our drive to do meaningful work differentiates the people of Cadence.

Cadence is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, basis of disability, or any other protected class.

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Skills

C++17/20
Computational Fluid Dynamics
Linear Algebra
Differential Equations
Numerical Methods
Git
OpenMP
MPI
CUDA
Agile Methodology
GPU Computing
Software Testing
Debugging
Scientific Computing
Physics Simulation
CAD Tools

Location

London, England, United Kingdom

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