[Hiring] AI Optimization Engineer @Datacor

Role Description

At our core, we empower top talent with the autonomy to craft innovative solutions that make a real difference helping our users become better, faster, smarter, and more efficient.

We are looking for an AI Optimization Engineer to lead and define our optimization capabilities across our product suite. Your mission: reinvent how some of the country's leading process manufacturers and distributors manage their end-to-end operations from inbound ingredient arrivals through production sequencing to outbound fleet and delivery optimization.

This is a greenfield role with real depth and full ownership. You will set the technical direction, establish the algorithmic foundation, and drive delivery from design through production deployment. You will shape how Datacor approaches optimization across many customers, each operating under their own unique set of business constraints and operational realities. Critically, this role spans multiple Datacor products and cross-functional teams giving you rare visibility and influence across the full business, not just a single product or vertical.

You'll lead and collaborate directly with product managers, engineers, and domain experts in a fast-moving team that values your judgment and expertise driving initiatives from problem framing through MVP and into production, seeing your work run in the real world, on the screens of operators making high-stakes decisions every day.

If you are energized by hard combinatorial problems, want to build and own a solver capability from the ground up, and care about delivering things that create real impact this is the role for you.

Responsibilities

• 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 doesn't just work algorithmically; it 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.

Qualifications

• Master's degree in Operations Research, Industrial Engineering, Computer Science, Applied Mathematics, or a related quantitative field with 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, and an awareness of how they can complement optimization workflows.
• Exceptional communication skills able to translate complex algorithmic concepts into clear, business-relevant terms for non-technical stakeholders, and convey the value of your work in a way that resonates across the organization.
• Ability to model ambiguous, real-world constraints rigorously and defend and advocate for design decisions at all levels of the organization.
• Genuinely curious; you ask why the problem exists, not just how to solve it, and you bring that curiosity into every stage of the work.
• Strong product ownership mindset; you take responsibility for outcomes, not just outputs, and care about whether your solution actually works for the people using it.
• Outcomes-driven; you measure success by the real-world impact your work delivers, not by the sophistication of the technology or elegance of the process behind it.

Preferred

• Impactful experience in one or more of the following: transportation, logistics, supply chain, fleet management, manufacturing or mill production scheduling, or the agri-food industry.
• Familiarity with geospatial data and road network routing APIs (e.g., Google Maps Platform, HERE, Mapbox).
• Experience leading optimization work within an Agile, cross-functional product team.
• Comfort integrating optimization outputs into enterprise software workflows and ERP data models.

EOE Statement

Datacor is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic.

Use of AI During Interviews

At Datacor, we value thoughtful problem-solving and authentic perspectives. To ensure a fair and consistent evaluation process, we ask that candidates do not use generative AI tools or outside assistance during live interviews unless explicitly stated otherwise. We're interested in hearing your experience, your approach, and how you think through challenges.