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.

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

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.

AI Optimization Engineer

Key skills