Sr. Scientific Software Developer​/ C++, Python, CUDA

Location:

Toronto, ON (Hybrid, 2 to 3 days onsite)

Language:
English, with strong written and verbal communication skills

Background Check Requirement:
Successful completion of a background check is required

We re looking for someone who bridges scientific research and software engineering. This role requires experience implementing advanced numerical algorithms in production-quality C++ software. Candidates should have a strong background in scientific computing, commercial software development, and hands-on CUDA programming. Experience converting research prototypes into scalable, maintainable production software is essential.

This is an opportunity to work on meaningful engineering challenges alongside talented technical professionals in a collaborative and innovative environment. You ll gain exposure to advanced technologies, contribute to products with global impact, and be part of a culture that values continuous learning, knowledge sharing, and engineering excellence.

• Design, develop, and optimize high-performance numerical software using modern C++, Python, and CUDA.
• Translate scientific research, mathematical models, and numerical algorithms into scalable, production-ready software.
• Develop and optimize GPU-accelerated numerical algorithms and compute kernels using CUDA.
• Implement parallel computing techniques, including CUDA, multithreading, vectorization, and GPU acceleration, to maximize application performance.
• Collaborate closely with research scientists, mathematicians, and software engineers to transform research prototypes into robust commercial software.
• Profile, benchmark, and optimize computational performance, memory usage, and scalability.
• Design, implement, and maintain automated testing and validation frameworks to ensure numerical correctness, accuracy, and reliability.
• Contribute to software architecture, code reviews, technical documentation, and CI/CD practices while following modern software engineering standards.
• Support cross-platform software development primarily on Linux, with compatibility for Windows where required.

• 7+ years of progressive software development experience.
• Bachelor s degree in Computer Science, Applied Mathematics, Physics, or a related STEM discipline.
• Strong experience developing production numerical software in C++ including implementation of numerical algorithms, scientific computing methods, and performance-critical computation.
• Extensive hands-on experience developing CUDA applications - mandatory
• Experience with GPU programming, and parallel computing techniques is preferred.
• Experience working with numerical libraries such as Eigen or BLAS is preferred.
• Experience with Python is a nice to have.
• Experience developing in Linux and supporting cross-platform environments.
• Familiarity with performance profiling tools, Git Hub Actions, CI/CD practices, and version control.
• Experience with OpenMP, Rust, Fortran, Google Cloud Platform, containerization, or distributed systems is considered an asset.