Founding Optimization Engineer for Production-Scale OR

Haladir

San Francisco (CA)

On-site

USD 150,000 - 190,000

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

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.