[Remote] Architect, Operations Research

Note: The job is a remote job and is open to candidates in USA. Kinaxis is a global leader in end-to-end supply chain management, committed to solving complex supply chain challenges. The Operations Research Architect will drive the development of optimization and algorithmic capabilities, guiding the creation of large-scale mathematical models and high-performance algorithms to enhance supply chain solutions.ResponsibilitiesDefine and drive the optimization and algorithmic strategy behind large-scale supply chain systems, shaping how advanced techniques, including mathematical optimization, heuristics, and hybrid ML/OR approaches, are designed, implemented, and evolvedGuide the development of high-performance models that operate on massive datasets and deliver results in secondsOperate as a technical authority across Product R&D, setting direction for modeling approaches, solver strategies, and algorithm designMentor senior engineers and researchers, elevate the organization’s approach to optimization and performance, and foster a culture grounded in analytical rigor and engineering excellenceSkillsPhD in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or a related fieldExtensive experience designing and delivering optimization models and algorithms in production environmentsExperience in supply chain management, logistics, or large-scale planning systemsDeep expertise in mathematical optimization techniques, including linear programming, mixed-integer programming, heuristics, and metaheuristicsProven ability to formulate and solve large-scale, real-world optimization problems, particularly in supply chain or related domainsStrong experience with commercial solvers (e.g., Gurobi, CPLEX, Xpress) and performance tuning of optimization modelsSolid understanding of algorithm design, computational complexity, and numerical performanceProficiency in C++ or similar high-performance programming languages, with strong software engineering fundamentalsFamiliarity with hybrid approaches combining optimization and machine learningExperience working with large-scale data systems and in-memory or high-performance computing environmentsDemonstrated ability to influence technical direction and lead complex decision-making across teamsAbility to find opportunities to accelerate the SDLC through innovative application of AI or other tooling, while upholding architecture consistency, secure design, and code-quality standardsAbility to review AI-generated code rigorously for correctness, architectural fit, integration risk, and edge case support with a growth mindset and bias for experimentationStrong background in advanced optimization techniques (stochastic optimization, robust optimization, decomposition methods)Familiarity with machine learning techniques applied to optimization problemsExperience building SaaS or distributed systems that integrate optimization enginesExposure to cloud environments and scalable compute infrastructureTrack record of thought leadership (publications, patents, conference speaking, or open-source contributions)BenefitsFlexible vacation and Kinaxis Days (company-wide day off on the third Friday of every month)Flexible work optionsPhysical and mental well-being programsRegularly scheduled virtual fitness classesMentorship programs, training, and career developmentRecognition programs and referral rewardsHackathonsCompany OverviewKinaxis is a leading provider of cloud-based subscription software. It was founded in 1995, and is headquartered in Ottawa, Ontario, CAN, with a workforce of 1001-5000 employees. Its website is http://www.kinaxis.com/.Company H1B SponsorshipKinaxis has a track record of offering H1B sponsorships, with 1 in 2026, 13 in 2025, 5 in 2024, 9 in 2023, 9 in 2022, 4 in 2021, 9 in 2020. Please note that this does not guarantee sponsorship for this specific role.