Founding Operations Research Engineer (Full Time)

Haladir; San Francisco (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

Haladir is seeking a quantitative expert to design the optimization core of its products in San Francisco. You will build models for waves release, inventory allocation, routing in trucking networks, and labor planning for 3PL operations, using MILP, constraint programming, and heuristics in production-grade Python.

Ideal candidates have MS/PhD in OR or related fields, strong research background, and experience deploying models with Gurobi/CP-SAT/HiGHS.

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

Responsibilities

• Aid in designing the optimization core of Haladir’s products, including models for waves release, inventory allocation, routing in trucking networks, and labor planning in 3PL operations.
• Turn messy operational constraints into production-ready formulations and systems with real-world deadlines.
• Collaborate closely with the founding team to understand decision processes and build reliable models at scale.
• Develop production-grade models in Python using solver APIs and ensure they perform at scale in live environments.

Skills

Operations Research

MILP

Constraint programming

Local search

Heuristics

Python production

Gurobi

CP-SAT

HiGHS

Education

MS in OR/Industrial Eng/Applied Math

PhD in OR/Industrial Eng/Applied Math

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.

This role offers greater autonomy and closer collaboration with the founding team than other positions.

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 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