Location Ottawa and Toronto, Canada - Hybrid Other Canadian locations - Remote Salary Range Annual cash compensation ranges from $102,000 to $150,000, plus a discretionary 10% company bonus. The final offer within this range will reflect
About Kinaxis Are you looking to join an innovative, market‑leading company where you can truly elevate your career? At Kinaxis we are serious about culture, technology, customers, and not taking ourselves too seriously. If you want
About Kinaxis Are you looking to join an innovative, market-leading company where you can truly elevate your career? At Kinaxis we are serious about culture, we are serious about technology, we are serious about customers, and
Minimum qualifications: Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience. 8 years of experience in software development programming in Swift, Objective-C, or C++. 5 years of experience testing, maintaining, and launching
Empower global supply chains as a Senior C++ Developer at Kinaxis, with opportunities in Ottawa or remote. Work with a talented team to implement algorithms that solve complex supply chain challenges. At Kinaxis, we are looking for
Musashi AI North America, Inc. is a growing hardware and software focused company that builds smart vision solutions for quality assurance in manufacturing environments. Based in Waterloo, Ontario, Musashi AI North America employs a talented and
Drive innovation with Kinaxis as a Machine Learning & Operations Research Engineer. This role involves enhancing supply chain solutions through mathematical modeling and robust software development in a hybrid work model. You will be instrumental in
Join an innovative team as a Hybrid Software Developer specializing in scheduling algorithms. This role, based in Ottawa or Toronto, Canada, focuses on delivering enterprise-grade solutions. You will work on algorithm-backed product development, designing and implementing scheduling systems
Senior Software Developer, Backend, Applied AI Agent Studio Google, Waterloo, ON, Canada; Toronto, ON, Canada Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. X
This posting is for a new vacancy. Google utilizes AI tools to assist in assessing candidates in our hiring processes. In most instances, this position requires in-person interviews as part of the hiring process. Note: By