Datacor, Inc.

AI Optimization Engineer

Datacor, Inc.

full-time

Posted on:

Location Type: Remote

Location: United States

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Tech Stack

AWSCloudJavaPython

About the role

  • 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.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
optimization algorithmsmathematical modelingexact methodsmetaheuristicssimulated annealingtabu searchgenetic algorithmsPythonC++Java
Soft Skills
communication skillscuriosityproduct ownership mindsetoutcomes-drivencollaborationadvocacyproblem-solvingtradeoff analysisclear explanationcross-functional teamwork