Senior R&D Engineer

Category Engineering Hire Type Employee Job ID 18042 Date Posted 06.28.2026

THIS POSITION IS ELIGIBLE UNDER THE TERMS OF THE EMPLOYEE REFERRAL PROGRAM (ERP):

SUMMARY

ANSYS, Inc. seeks Senior R&D Engineer to work in Canonsburg, PA. Telecommute work from home position within commuting distance to Canonsburg, PA

RESPONSIBILITIES

The Senior R&D Engineer is responsible for the development of software products and supporting systems. In this role, the Senior R&D Engineer will use advanced technical and problem-solving skills to help the team tackle complex issues, satisfy customer requirements, and accomplish development objectives. 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. May work with strategic customers or proxies to assess needs and develop solutions. Work independently with minimal supervision and may take on some planning and mentoring responsibilities. May be responsible for managing interns or co-ops but typically does not have direct reports.

MINIMUM QUALIFICATIONS

• PhD or foreign equivalent in Mathematics, Computer Science, Computer Engineering, Mechanical Engineering, or a related field of study.

• Alternate Acceptable Education and Work Experience Requirement: Master’s degree or foreign equivalent in Mathematics, Computer Science, Computer Engineering, Mechanical Engineering, or a related field of study, and three (3) 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 (5) years of experience in a related position.

• Work experience or academic coursework must have included: 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 opensource 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; and

• Knowledge of matrix approximation techniques like low-rank approximation, deflation and randomized decomposition

• Additional work location information: Telecommute work from home position within commuting distance to Canonsburg, PA.

ANSYS is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other protected characteristics.

ANSYS does not accept unsolicited referrals for vacancies, and any unsolicited referral will become the property of ANSYS. Upon hire, no fee will be owed to the agency, person, or entity.

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.

In addition to the base salary, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request. The base salary range for this role is across the U.S.