Research Software Developer - Machine Learning (Remote) (Quebec)

Kinaxis is a global leader in up-to-date supply chain orchestration, powering complex global supply chains and supporting the people who manage them. Our AI‑infused platform provides full transparency and visibility across end‑to‑end supply chains, enabling customers to make faster, better decisions. With more than 40,000 users in over 100 countries, we continue to innovate and revolutionize how we support our customers. Other Canadian locations – Remote. Investigate novel techniques combining class‑leading heuristics with optimization. Lead the design and implementation of the mathematical model. Define test strategies and develop comprehensive test plans. Write unit, integration, and debugging code to ensure robust and error‑free software. Design, develop, and maintain automated test scripts for functional, regression, and performance testing using testing frameworks and tools. Collaborate closely with agile team members and other stakeholders. C++ for core development. Commercial mathematical solvers. Maestro’s market‑leading in‑memory data server technology. Sophisticated internal testing tools to validate correctness and performance. Virtual and cloud infrastructure for development, support, and testing. MSc or PhD in Operations Research, Industrial Engineering, Computer Science (or related). 3+ years of software development experience with a track record of delivering commercial software. Working knowledge of C++, including object‑oriented design, design patterns, and unit testing. Love of data structures and algorithms, and desire to apply them in the real world. Experience with commercial solvers (Gurobi, Xpress, CPLEX). Ability to design, develop, and maintain automated test scripts for functional, regression, and performance testing. Ability to accelerate the SDLC through innovative application of AI or other tooling while upholding architecture consistency, secure design, and code quality standards. Ability to review AI‑generated code rigorously for correctness, architectural fit, integration risk, and edge case support with a growth mindset and bias for experimentation. Nice to have: knowledge of machine learning models and algorithms. Nice to have: knowledge of Supply Chain Management (Demand Planning, MRP, S&OP;, Capacity Planning). Flexible vacation and Kinaxis Days (company‑wide days off). Versatile work options. Regularly scheduled virtual fitness classes. Mentorship programs, training, and career development. Kinaxis welcomes candidates to apply to our inclusive community. We provide accommodations upon request to ensure fairness and accessibility throughout our recruitment process for all candidates, including those with specific needs or disabilities. We use artificial intelligence (AI) tools in the initial step of the recruitment process to compare submitted resumes against the to identify candidates whose education, experience, and skills most closely match the requirements of the role. AI does not make any final hiring decisions. # Apply on Kit Job: kitjob.ca/job/2pro2o