{"schemaVersion":"jobsearcher.job.v1","id":"02e3be56f3f1dee2bf43e31a","url":"https://jobsearcher.com/jobs/02e3be56f3f1dee2bf43e31a","canonicalUrl":"https://jobsearcher.com/jobs/02e3be56f3f1dee2bf43e31a","title":"Operations Research Engineering Intern (Fall 2026)","description":"Role Description:\n\nYou will aid in designing the optimization core of Haladir’s products, including the models that decide how waves get released, how inventory gets allocated, how routing occurs within trucking networks, and 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.\n\nYou will take messy operational constraints from real customers and turn them into formulations and systems that run in production under real-world deadlines. You will work closely with operators to understand how decisions are actually made, determine what should be optimized, and build models that can make those decisions reliably at scale.\n\nThis is applied research with execution authority. Your models will make decisions that operators act on the same day.\n\nRequired Qualifications:\n\nStrong background in Operations Research, including MILP, constraint programming, heuristics, and local search\n\nResearch experience in Operations Research through publications, graduate research, or equivalent applied work\n\nAble to implement your own models in production-quality Python using solver APIs such as Gurobi, CP-SAT, or HiGHS\n\nAble to turn real-world operational constraints into mathematical models that can run in production\n\nStrong judgment around solution quality, computational performance, and real-world operational constraints\n\nWillingness to relocate to San Francisco and travel to customer sites\n\nUS work authorization\n\nPreferred Qualifications:\n\nCurrently enrolled or finished Bachelor's/MS or PhD in Operations Research, Industrial Engineering, Applied Mathematics, or a related quantitative field\n\nDomain experience in warehousing, routing, scheduling, or supply chain\n\nExperience deploying optimization models in live operational environments\n\nUS citizen","company":"Haladir","rawCompany":"haladir","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-19T19:27:11.061Z","occupations":[{"code":"15-2031.00","title":"Operations Research Analysts","slug":"operations-research-analysts"},{"code":"13-1081.01","title":"Logistics Engineers","slug":"logistics-engineers"},{"code":"17-2112.00","title":"Industrial Engineers","slug":"industrial-engineers"}],"industries":[{"code":"541614","title":"Process, Physical Distribution, and Logistics Consulting Services","slug":"process-physical-distribution-and-logistics-consulting-services"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Operations Research Engineering Intern (Fall 2026)","description":"Role Description:\n\nYou will aid in designing the optimization core of Haladir’s products, including the models that decide how waves get released, how inventory gets allocated, how routing occurs within trucking networks, and 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.\n\nYou will take messy operational constraints from real customers and turn them into formulations and systems that run in production under real-world deadlines. You will work closely with operators to understand how decisions are actually made, determine what should be optimized, and build models that can make those decisions reliably at scale.\n\nThis is applied research with execution authority. Your models will make decisions that operators act on the same day.\n\nRequired Qualifications:\n\nStrong background in Operations Research, including MILP, constraint programming, heuristics, and local search\n\nResearch experience in Operations Research through publications, graduate research, or equivalent applied work\n\nAble to implement your own models in production-quality Python using solver APIs such as Gurobi, CP-SAT, or HiGHS\n\nAble to turn real-world operational constraints into mathematical models that can run in production\n\nStrong judgment around solution quality, computational performance, and real-world operational constraints\n\nWillingness to relocate to San Francisco and travel to customer sites\n\nUS work authorization\n\nPreferred Qualifications:\n\nCurrently enrolled or finished Bachelor's/MS or PhD in Operations Research, Industrial Engineering, Applied Mathematics, or a related quantitative field\n\nDomain experience in warehousing, routing, scheduling, or supply chain\n\nExperience deploying optimization models in live operational environments\n\nUS citizen","datePosted":"2026-08-19T19:27:11.061Z","dateModified":"2026-08-19T19:27:11.061Z","hiringOrganization":{"@type":"Organization","name":"Haladir","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"02e3be56f3f1dee2bf43e31a"},"url":"https://jobsearcher.com/jobs/02e3be56f3f1dee2bf43e31a"}}