Staff Software Engineer II - (C++ , LP Optimization)

Responsibilities

• Core Product Development
• Design, develop, and maintain high-performance optimization components for Supply Planning applications.
• Enhance LP/MIP optimization engines used for: Supply Planning
• Production Planning
• Distribution Planning
• Capacity Optimization
• Implement scalable and efficient algorithms for solving large-scale planning problems.
• C++ & Optimization Engineering
• Develop robust and maintainable C++ code for optimization workflows and solver integrations.
• Integrate and optimize IBM CPLEX-based models and solver execution.
• Analyze solver performance, infeasibilities, convergence issues, and optimization quality.
• Improve runtime performance, memory utilization, and scalability of optimization engines.
• Architecture & Technical Leadership
• Participate in architecture and design discussions for next-generation planning solutions.
• Drive engineering best practices including code reviews, unit testing, debugging, and automation.
• Mentor junior engineers and provide technical guidance across the team.
• Collaborate with architects and senior engineers on platform modernization initiatives.
• Cross-functional Collaboration
• Work closely with Product Management, Data Science, QA, and Customer Support teams.
• Collaborate with domain experts to translate business requirements into optimization models and technical solutions.
• Support troubleshooting and root-cause analysis for complex customer-reported planning issues.
• Quality & Reliability
• Ensure high code quality, reliability, and maintainability.
• Participate in CI/CD and automated testing initiatives.
• Drive continuous improvement in engineering processes and product quality.

Requirements

• Bachelor's or Master's degree in Computer Science, Operations Research, Engineering, Mathematics, or related field.
• 10+ years of experience in enterprise software development.
• Strong hands-on programming expertise in: C++
• STL
• Object-Oriented Design
• Multi-threaded programming
• Strong experience with: IBM CPLEX Optimizer
• Linear Programming (LP)
• Mixed Integer Programming (MIP)
• Optimization model formulation
• Good understanding of: Algorithms
• Data structures
• Numerical methods
• Performance optimization techniques
• Experience with Linux/Unix development environments.
• Strong debugging and problem-solving skills.
• Experience in Supply Chain Planning or Operations Research domain.
• Familiarity with: Network optimization
• Constraint programming
• Heuristics and metaheuristics
• Demand/Supply planning concepts
• Exposure to cloud-native or SaaS-based enterprise applications.
• Knowledge of Python scripting for automation or optimization workflows.
• Experience with profiling and performance tuning tools.
• Familiarity with Agile/Scrum methodologies.
• Our Values
• If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success - and the success of our customers. Does your heart beat like ours? Find out here: Core Values
• All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

Additional Information

Scope: We are looking for a highly motivated and technically strong Staff Software Engineer to join the LP Optimization Supply Planning team. This role focuses on developing and enhancing large-scale optimization engines used in supply chain planning solutions. The ideal candidate will have deep expertise in C++ development, mathematical optimization, and performance engineering, with experience working on complex enterprise software products. You will contribute to the architecture, design, development, and optimization of linear programming (LP) and mixed integer programming (MIP) based planning solutions leveraging IBM CPLEX and advanced optimization techniques.

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