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

Language: English, with robust written and verbal communication skills

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

About the Opportunity

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 solid background in scientific computing, commercial software development, and hands-on CUDA programming. Experience converting research prototypes into scalable, maintainable production software is essential.

What's In It for You

This is an prospect to work on meaningful engineering challenges alongside talented technical professionals in a collaborative and cutting-edge 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.





Your Responsibilities
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 reli

📌 Sr Scientific Software Developer/ C++, Python, Cuda Toronto
🏢 Altis Recruitment
📍 Toronto