Spreedly is looking for an R&D Engineer to develop and enhance advanced data analysis and visualization tools used by researchers and professionals across multiple domains. You will work on scalable software solutions, including distributed memory parallel algorithms, and contribute to both open-source and proprietary platforms.

What You'll Do

Design and develop scalable data analysis and visualization tools, including contributions to toolkits like VTK and ParaView.
Build end-user applications to facilitate advanced data exploration and visualization.
Solve complex problems, including developing distributed memory parallel algorithms and maintaining software for high-performance computing environments.
Contribute to next-generation software solutions and enhance open-source projects within the community.
Mentor junior engineers and collaborate with other technical teams to improve development practices and software platforms.
Communicate effectively with users and provide technical guidance or feedback on product features and processes.
Participate in occasional travel to client sites as needed.

What We're Looking For

Master’s degree in Computer Science, Computational Science, or a related field with an emphasis on visualization and computational methods, or a Bachelor’s degree plus one year of relevant software development or research experience.
Strong experience in mesh generation and adaptation.
Proficiency in C++ and software development for scientific computing.
Experience with scalable data analysis and visualization techniques.
Familiarity with distributed memory parallel computing and high-performance computing environments.
Ability to mentor junior team members and communicate technical information effectively.