AI Optimization Engineer

🕒 March 25

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Datacor, Inc.

WebsiteLinkedInAll Job Openings

201 - 500 employees

🏢 Enterprise

☁️ SaaS

Enterprise • SaaS • Chemical

Datacor, Inc. is a leading provider of advanced process manufacturing software, offering integrated ERP and CRM solutions to maximize productivity and business growth. Their software solutions cater to the chemical, food & beverage, personal care, industrial, coatings & adhesives, and animal feed & pet food nutrition industries. Datacor provides industry-specific, configurable technology to enhance operational visibility and control, helping businesses manage complex pricing, formulas, and specifications while complying with government regulations. With a strong reputation as industry experts, Datacor is recognized for its robust support during software implementation and ongoing customer collaboration, particularly excelling in chemical distribution software.

📋 Description

• Define and lead the technical strategy for optimization use cases across Datacor's product portfolio. • Translate complex, real-world operational constraints into rigorous mathematical models. • Design, implement, and benchmark optimization algorithms including exact methods, metaheuristics (simulated annealing, tabu search, genetic algorithms), and commercial solvers (OR-Tools, Gurobi, CPLEX, or equivalent). • Make principled tradeoffs between solution quality, computational cost, and real-time responsiveness. • Collaborate closely with product, engineering, and design teams to ensure the solver becomes a solution that real users can understand, trust, and act on every day. • Drive end-to-end delivery of optimization solutions from prototype to production working across cross-functional teams. • Integrate optimization engines into production software via APIs and enterprise data pipelines. • Serve as the internal authority on optimization methods communicating algorithm design, performance, and tradeoffs clearly to both technical and business audiences. • Stay ahead of advances in OR, combinatorial optimization, and applied AI and bring new ideas and thinking that push our capabilities forward.

🎯 Requirements

• Master's degree in Operations Research, Industrial Engineering, Computer Science, Applied Mathematics, or a related quantitative field • 3+ years of hands-on industry experience, or a PhD in a related field • Proven track record of taking optimization solutions from problem definition to production with measurable business impact across domains such as supply chain, logistics, production scheduling, vehicle routing, or related fields • Proficiency with at least one major OR/optimization framework: Google OR-Tools, Gurobi, CPLEX, HiGHS, SCIP, or equivalent • Strong programming skills in Python; C++ or Java a plus • Hands-on experience with cloud platforms, particularly AWS, including deploying and scaling computational workloads • Familiarity with Large Language Models (LLMs) and generative AI • Exceptional communication skills able to translate complex algorithmic concepts into clear, business-relevant terms for non-technical stakeholders • Ability to model ambiguous, real-world constraints rigorously and defend and advocate for design decisions at all levels of the organization • Genuinely curious and bring that curiosity into every stage of the work • Strong product ownership mindset and outcomes-driven

🏖️ Benefits

• Equal Opportunity Employer and does not discriminate on the basis or race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic. • Thoughtful problem-solving and authentic perspectives during interviews. • Candidates are requested not to use generative AI tools or outside assistance during live interviews unless explicitly stated otherwise.