Synopsys Inc

Staff Engineer (R&D Engineering)

Synopsys Inc  •  Glasgow, GB (Onsite)  •  2 months ago
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Job Description


General Information


Job Title
Staff Engineer (R&D Engineering)
Job ID
16590
Country
United Kingdom
City
Glasgow
Date Posted
24-Mar-2026
Job Category
Engineering
Job Subcategory
R&D Engineering
Hire Type
Employee
Remote Eligible
No


Descriptions & Requirements


Job Description and Requirements

We Are:

At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.

You Are:

An analytical engineer with a passion for scientific computing, applied mathematics, and advanced technology. With a strong academic background and hands-on experience in large-scale engineering software, you thrive in complex problem-solving environments and enjoy collaborating with diverse teams. Adaptable and creative, you are motivated by the impact of your work on consumer products worldwide. Expertise in numerical methods, high-performance computing, parallel programming, and machine learning enables you to tackle intricate challenges with dedication and curiosity. Strong communication skills, a proactive mindset, and a commitment to excellence round out your profile as an ideal contributor to our international R&D team.

What You’ll Be Doing:

Designing and implementing GPU/CPU performance optimizations for large-scale TCAD simulations

Developing distributed-computing solutions to enable efficient simulation of complex nanoscale devices

Applying machine learning models to address emerging technology challenges in semiconductor simulation

Performing numerical analysis of strongly coupled PDE systems to enhance simulation accuracy and speed

Collaborating closely with Application Engineering and cross-functional teams to refine and validate solutions

Contributing to the continuous improvement of the Sentaurus product line used by semiconductor companies, research institutions, and universities worldwide

Engaging in code reviews, technical discussions, and knowledge sharing within a high-performing R&D culture

The Impact You Will Have:

Drive innovations that enable next-generation chip design and simulation for global industry leaders

Accelerate the development of consumer products—phones, cameras, cars, and more—by advancing simulation technology

Enhance the performance and scalability of the Sentaurus product line, directly influencing semiconductor research and development

Support the transition to smarter, more efficient devices by integrating advanced ML and HPC techniques

Foster collaboration across teams and disciplines, promoting a culture of creativity and technical excellence

Champion the adoption of new methodologies and tools, ensuring Synopsys remains at the forefront of innovation

Mentor and inspire peers, contributing to the growth and diversity of the R&D engineering community

What You’ll Need:

PhD or MS in Applied Mathematics or a closely related field, with 3+ years of experience developing large, complex engineering software

Strong background in numerical methods, high-performance computing (HPC), and parallel programming (MPI, TBB, OpenMP)

Proficiency in software design and programming, particularly in C++, CUDA, and Python

Experience applying machine learning methods in an engineering or scientific-computing context

Expertise in numerical analysis, especially with strongly coupled PDE systems

Preferred: Experience in applied physics, electrical engineering, or mechanical engineering background in linear solver methods, discretization methods (FEM, FVM) OR physical modelling of semiconductor devices

Who You Are:

Analytical and detail-oriented, with a strong problem-solving mindset

Collaborative and open to diverse perspectives, thriving in a multicultural team environment

Innovative and creative, always seeking new approaches and solutions

Effective communicator, able to explain complex concepts to varied audiences

Self-motivated, proactive, and committed to continuous learning and improvement

Adaptable and resilient, comfortable with ambiguity and rapid technological change

The Team You’ll Be A Part Of:

You’ll join the Synopsys TCAD R&D team—a high-performing, collaborative group of engineers, scientists, and innovators dedicated to advancing simulation technology for semiconductor devices. Our team brings together diverse expertise in mathematics, physics, computing, and engineering, fostering a creative, international work environment where every member’s contributions matter. We value knowledge sharing, mentorship, and a culture of continuous improvement, enabling you to grow professionally and make a tangible impact on industry-leading products.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

Synopsys Inc

About Synopsys Inc

Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis solutions, and design services.

We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow.

Industry
IT & Software
Company Size
10,000+ employees
Headquarters
Sunnyvale, California
Year Founded
Unknown
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