Operations Research Engineering Intern (Fall 2026)

Haladir • San Francisco, CA

7d • $6,000 - $8,000 • Onsite

About The Position

You will aid in designing the optimization core of Haladir’s products, including, for example, the models that decide how waves get released, how inventory gets allocated, how routing occurs within trucking networks, and/or how labor gets planned inside 3PL operations. Our approach combines practical heuristics, including local search and hill climbing, with solver-based methods such as MILP and constraint programming where they are the right tool. You will take messy operational constraints and turn them into formulations and systems that run in production under real-world deadlines. You will work closely with operator's problems to understand how decisions are actually made, determine what should be optimized, and build models that can make those decisions reliably at scale.

Requirements

• Strong background in Operations Research, including MILP, constraint programming, heuristics, and local search.
• Research experience in Operations Research through publications, graduate research, or equivalent applied work.
• Ability to implement models in production-quality Python using solver APIs (Gurobi, CP-SAT, or HiGHS).
• Ability to translate real-world operational constraints into mathematical models for production.
• Strong judgment regarding solution quality, computational performance, and real-world operational constraints.
• Willingness to relocate to San Francisco.
• Willingness to travel to potential customer sites.
• US work authorization.

Nice To Haves

• Currently enrolled or finished Bachelor's or MS or PhD in Operations Research, Industrial Engineering, Applied Mathematics, or a related quantitative field.
• Domain experience in warehousing, routing, scheduling, or supply chain.
• Experience deploying optimization models in live operational environments.
• US citizen.

Responsibilities

• Aid in designing the optimization core of Haladir’s products.
• Develop models for wave release, inventory allocation, routing within trucking networks, and labor planning in 3PL operations.
• Combine practical heuristics (local search, hill climbing) with solver-based methods (MILP, constraint programming).
• Translate operational constraints into formulations and systems for production environments.
• Collaborate with operators to understand decision-making processes and identify optimization opportunities.
• Build models for reliable, large-scale decision-making.

What This Job Offers

• Career Level: Intern
• Education Level: No Education Listed