Senior R&D Engineer

We are seeking a Senior R&D Engineer to join our team in Canonsburg, PA. As a Senior R&D Engineer, you will be responsible for the development of software products and supporting systems. You will use advanced technical and problem-solving skills to help the team tackle complex issues, satisfy customer requirements, and accomplish development objectives.

Responsibilities:

• Participate in planning, architecture, and research
• Perform complex development activities that may require extensive analysis in areas including user experience, software design, and solver research
• Employ best practices and help to maintain them through technical reviews and mentoring
• Perform complex bug verification, release testing, and beta support for assigned products
• Research problems discovered by QA or product support and develop solutions
• Research and understand the marketing requirements for a product, including target environment, performance criteria, and competitive issues
• Work independently with minimal supervision and may take on some planning and mentoring responsibilities

Minimum Qualifications:

• PhD or foreign equivalent in Mathematics, Computer Science, Computer Engineering, Mechanical Engineering, or a related field of study
• Alternatively, Master's degree or foreign equivalent in Mathematics, Computer Science, Computer Engineering, Mechanical Engineering, or a related field of study, and three years of experience in a related position, or a Bachelor's degree or foreign equivalent in Mathematics, Computer Science, Computer Engineering, Mechanical Engineering, or a related field of study, and five years of experience in a related position
• Experience with development of iterative solvers and preconditioners for sparse linear systems, including Krylov subspace methods and solvers for generalized eigenvalue problems
• Experience with high-performance computing methods, including distributed memory and shared memory parallel programming, with GPU programming, in C, C++, and Fortran for large-scale numerical analysis programs
• Experience using commercial and open-source linear algebra packages to implement numerical simulation workflows for computer-aided engineering
• Experience with industrial simulation software development, including commercial code management, build, debugging, and testing tools
• Knowledge of error estimation for adaptive linear solvers in finite element, finite volume, and finite difference methods for the solution of structures and fluid problems
• Knowledge of matrix approximation techniques like low-rank approximation, deflation, and randomized decomposition

Benefits:

• Comprehensive medical and healthcare plans
• Time away, including company holidays, ETO, and FTO programs
• Family support, including maternity and paternity leave, parenting resources, adoption, and surrogacy assistance
• ESPP, allowing purchase of Synopsys common stock at a 15% discount
• Retirement plans that vary by region and country