Manager, Solver Infrastructure

Job not on LinkedIn

🔥 12 minutes ago

🇨🇦 Canada – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👔 Manager

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• Jobs at this company usually fill in 38 days.
• No salary listed.

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Kinaxis

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

💰 $33M Venture Round on 2000-05

Consulting • Healthcare • Manufacturing

Kinaxis is a leading provider of supply chain orchestration solutions, specializing in AI-infused supply chain planning and management. Their flagship platform, Maestro, enables organizations to master complexity and optimize decision-making processes across the entire supply chain. By integrating advanced analytics with real-time data visibility, Kinaxis helps businesses improve operational efficiency, predict demand, and respond proactively to disruptions.

📋 Description

• Lead, mentor, and grow a team of engineers • Create an environment of strong technical execution, collaboration, and continuous development • Set clear expectations and provide feedback and coaching • Support team members' performance and career development • Provide hands-on technical leadership across solver integration, architecture, performance, scalability, and production reliability • Evolve the mathematical optimization platform, including solver interfaces, distributed execution, deployment, monitoring, and diagnostics • Drive solve acceleration through GPU computing, advanced solver technologies, improved hardware utilization, and AI/ML approaches • Improve reliability, observability, and operational readiness of optimization workloads across cloud environments • Collaborate with Operations Research, Product, Architecture, Cloud Services, and technology partners to bring new ideas into production

🎯 Requirements

• 5+ years of experience in software engineering, platform engineering, or applied optimization • 2+ years leading teams • Strong technical background in Operations Research, software engineering, optimization systems, or related computational technologies • Experience with mathematical optimization and commercial solvers such as Gurobi, CPLEX, or Xpress • Strong software engineering fundamentals, ideally with C++ and/or Python experience • Experience building or operating cloud-based and distributed systems, including Kubernetes and containers • Ability to investigate complex performance and reliability challenges across software and infrastructure • Strong communication and collaboration skills • Bachelor's or Master's degree in Computer Science, Operations Research, Industrial Engineering, Engineering, Applied Mathematics, or a related field • Experience with GPU computing or GPU-accelerated optimization is nice to have • Experience with Gurobi Compute Server or similar distributed solver infrastructure is nice to have • Experience applying AI/ML to optimization, solver acceleration, tuning, or explainability is nice to have • Experience with high-performance computing or distributed optimization is nice to have • Knowledge of supply chain planning and large-scale enterprise optimization is nice to have

🏖️ Benefits

• Flexible vacation and Kinaxis Days (company-wide days off) • Flexible work options • Physical and mental well-being programs • Regularly scheduled virtual fitness classes • Mentorship programs, training, and career development • Recognition programs and referral rewards • Hackathons

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