R&D Engineering, Sr Engineer
Location: southwestern ontario
Overview
You Are: You are a passionate engineer with a strong foundation in software development and a keen interest in thermal and fluids analysis. You thrive in dynamic, collaborative environments and are eager to contribute your expertise to cutting-edge R&D projects. With a background in Computer Science, Mechanical Engineering, or a related field, you bring not only technical prowess in languages like C++ and C#, but also a curiosity for multi-physics modeling and simulation.
You are adaptable, self-driven, and motivated to deliver high-quality, maintainable solutions that advance engineering simulation technology. You are comfortable working independently and collaboratively, and you consistently meet project deadlines while maintaining a high standard of excellence. Your attention to detail, analytical mindset, and openness to new ideas help you thrive in a fast-paced, innovation-driven workplace.
If you are excited by the prospect of shaping the future of simulation software and making a tangible impact, Synopsys is the place for you.
The Impact You Will Have- Advance Synopsys’ capabilities in thermal and fluids simulation software, contributing to industry-leading engineering tools.
- Enable customers to achieve accurate and efficient thermal analysis in their designs, supporting innovation across multiple industries.
- Drive performance improvements and scalability in simulation products, enhancing user experience and reliability.
- Support the integration of multi-physics modeling, broadening the scope and utility of Synopsys software solutions.
- Help shape the future of simulation technology through active participation in R&D and collaborative problem-solving.
- Contribute to a culture of excellence and continuous improvement within the engineering team.
- Develop and maintain software products and supporting systems focused on thermal and fluids analysis, with applications including Ansys Thermal Desktop integration and enhancement.
- Engage in moderate-to-complex development tasks, including design, implementation, testing, and documentation of software modules.
- Understand and contribute to the code base, following the team's software development processes.
- Troubleshoot, debug, and optimize code for performance, scalability, and maintainability.
- Collaborate with managers, technical leads, and engineers to refine solutions and ensure seamless integration across teams.
- Deliver high-quality, efficient code on schedule, with a focus on optimization and ease of understanding.
- Stay current with best practices in software engineering and continuously expand knowledge in thermal and fluids modeling.
- Bachelor’s degree in Computer Science, Mechanical Engineering, or related field with 2+ years of relevant experience, OR a Master’s degree in a related field.
- Strong expertise in C++ and C# with at least 2 years of hands-on experience.
- Familiarity with Fortran and an understanding of legacy and modern programming paradigms.
- Solid grasp of data structures, algorithms, and advanced debugging techniques.
- Ability to quickly learn and understand complex systems, with a proven track record of delivering high-quality work within deadlines.
- Knowledge of Functional Mock-up Interface standard, .NET framework, and development experience with physical design or analysis tools.
- Multi-physics experience including thermal and fluids modeling, computer graphics, and geometry processing.
- Experience contributing to Engineering Simulation applications such as Finite Element Analysis (FEA) and fluids modeling.
- Analytical thinker with strong problem-solving skills.
- Effective communicator and collaborator who thrives in team environments.
- Adaptable and eager to learn new technologies and methodologies.
- Detail-oriented with a commitment to code quality and maintainability.
- Proactive, self-motivated, and results-driven.
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…
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