Operations Research Engineering Intern (Fall 2026)

Haladir; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Haladir in San Francisco seeks a skilled Operations Research specialist to design the optimization core of its products, shaping models for waves release, inventory allocation, routing, and labor planning in 3PL contexts. You will convert real constraints into scalable production-ready code.

Candidates bring a strong OR background, experience with MILP/CP, Python and solver APIs, and the ability to travel to customer sites. US work authorization is required.

Qualifications

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

Responsibilities

• Design optimization core models for Haladir's products and ensure production readiness.
• Collaborate with operators to understand decision processes and translate them into scalable models.
• Deploy optimization solutions in live environments and monitor performance.

Skills

MILP

Constraint programming

Local search

Heuristics

Python production

Solver APIs

Operational modeling

Relocation willingness

US work authorization

Education

Bachelor’s degree or higher in Operations Research / OR/ IE / Applied Mathematics

Tools

Gurobi

CP-SAT

HiGHS

Job description

Role Description:

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.

Required Qualifications:

• 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

• Able to implement your own models in production-quality Python using solver APIs such as Gurobi, CP-SAT, or HiGHS

• Able to turn real-world operational constraints into mathematical models that can run in production

• Strong judgment around solution quality, computational performance, and real-world operational constraints

• Willingness to relocate to San Francisco and travel to potential customer sites

• US work authorization

Preferred Qualifications:

• 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