| JOB POSTING INFORMATION | ||||
|---|---|---|---|---|
| Position Type: | Professional Experience Year Co-op (PEY Co-op: 12-16 months) | |||
| Job Title: | Co-Op/Intern Algorithm Developer, Scheduling | |||
| Job Location: | Toronto | |||
| Job Location Type: | On-Site | |||
| Number of Positions: | 1 | |||
| Salary: | $0.00 hourly for 0.0 hours per week | |||
| Start Date: | 05/01/2024 | |||
| End Date: | 08/29/2025 | |||
| Job Function: | Engineering | |||
| Job Description: |
About the Team Production Scheduling is the process of arranging, controlling, and optimizing work and workloads in a production or manufacturing process. Kinaxis Enterprise Scheduling unifies production planning and scheduling activities on a single, concurrent platform, allowing planners and schedulers to immediately see the impact of demand and supply changes, from forecast all the way down to the shopfloor schedule. The Enterprise Scheduling team is focused on building an enterprise level scheduling application with the flexibility of a site-level scheduler and a focus on fast, scalable scheduling algorithms. The team has a passion for solving complex scheduling problems and building highly scalable, configurable, and extensible applications. What you will do - Design and implement novel Production Scheduling models, heuristics, and meta-heuristics
- Translate real world Production Scheduling use cases and constraints into computational models - Collaborate closely with our experienced developers, adhering to best practices including unit testing, and software craftmanship - Engage actively in our scrum rituals, contribute to design discussions, and partake in code review sessions - As a product-focused team, embrace a range of roles including tester, investigator, facilitator, and support - May perform additional projects as requested What we have to offer
Challenging Work - We love solving highly complex problems. And as the global leaders in our industry, we never stop innovating—our work is never “done. That’s because across our teams and in all roles, every employee is empowered to bring their best ideas forward and to jump in and solve the problems they’re passionate about.
Great People - We take our work seriously, but we don’t take ourselves too seriously! It’s in our DNA to celebrate, laugh, and have fun. We are stronger, together, when we are open, honest, and above all, real. Every person is valued here and plays an important role in our shared success. Global Impact - As a global team spanning continents, boundaries, and cultures, every day we are inspired by the impact our work has on our colleagues, our customers, our communities, and the world at large. Diversity, Equity and Inclusion - Diversity, equity and inclusion are more than words to us. They are the guiding principles for building a culture where we celebrate each others’ differences, continuously strive for equality and recognize that inclusion makes us stronger as individuals, a company and a global citizen. |
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| Job Requirements: |
What we are looking for
- Working toward a degree in Computer Science, Operations Research, Industrial Engineering (or related)
- Excellent software engineering skills - Knowledge of production scheduling algorithms and techniques using optimization and/or heuristics - A love of algorithms and problem solving, and the desire to apply them in the real world - Working knowledge of Java, C# or similar language, including object-oriented design, unit testing - Ability to design high performance code that does in seconds what others do in hours -The commitment to help every member of your team perform better - Background in, or understanding of, supply chain management a nice to have - Experience working under agile methodologies such as Scrum a nice to have |
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| Preferred Disciplines: |
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| All Co-op programs: | No | |||
| Targeted Co-op Programs: |
Targeted Programs
Professional Experience Year Co-op (12 - 16 months)
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| APPLICATION INFORMATION | |
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| Application Deadline: | Dec 3, 2023 11:59 PM |
| Application Receipt Procedure: | Employer Website |
| If by Website, go to: | https://boards.greenhouse.io/kinaxis/jobs/6942870002 |
| Additional Application Information: |
Note to PEY Co-op applicants: In addition to your application by email/website, please ensure that you select the “I intend to apply for this position” tab on the portal. This will give us a record of your submitted application in the event that you will be invited for interviews. |
| U of T Job Coordinator: | Yasmine Abdelhady |
| ORGANIZATION INFORMATION | |
|---|---|
| Organization: | Kinaxis |
| Division: | Main Office |
| Website: | - |
| ADDITIONAL INFORMATION | |
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| Length of Workterm: | FLEXIBLE PEY Co-op: 12-16 months (range) |