Operations Research Scientist

Hadrian - Manufacturing the FutureHadrian is building autonomous factories that help aerospace and defense companies manufacture rockets, satellites, jets, and ships up to 10x faster and up to 2x cheaper. By combining advanced software, robotics, and full-stack manufacturing, we are reinventing how America produces its most critical parts.We’re accelerating our mission with the launch of Factory 3 in Mesa, Arizona, a 290,000-square-foot facility creating 350 new jobs. We are expanding rapidly to support thousands of future hires, launching Hadrian Maritime to expand into naval production, and introducing a Factory-as-a-Service model that delivers complete systems instead of individual parts.Hadrian is backed by leading investors including T. Rowe Price, Lux Capital, Founders Fund, and Andreessen Horowitz, our fast-growing team is united around reindustrializing American manufacturing for the 21st century and beyond.The RoleYou will drive manufacturing excellence through advanced optimization at Hadrian. As our Operations Research Scientist, you'll tackle complex scheduling, capacity planning, and resource allocation challenges in aerospace manufacturing. Using cutting-edge solvers and potentially RL techniques, you'll build systems that optimize everything from production queues to tool utilization. This role combines rigorous mathematical modeling with real-world impact—your algorithms will directly improve delivery times, reduce costs, and scale our manufacturing capabilities.What You'll DoDesign and implement production scheduling algorithms using CP-SAT and MIP solvers.Build capacity planning models that balance demand with resource constraints.Develop queue management systems to optimize throughput and reduce wait times.Create demand forecasting models using modern time series techniques.Optimize inventory levels across raw materials and work-in-progress.Design tool allocation algorithms considering utilization and maintenance.Implement robust optimization for uncertain demand and processing times.Explore RL approaches for dynamic scheduling and queue management.Build simulation models to validate optimization strategies.Develop APIs and tools for real-time decision support.Create dashboards to visualize optimization results and KPIs.Collaborate with engineers to understand constraints and objectives.Design experiments to validate model improvements.Document algorithms and train operations teams.Stay current with OR research and manufacturing best practices.What We're Looking ForExpert knowledge of optimization solvers (OR-Tools, Gurobi, CPLEX).Strong background in mathematical optimization (LP, MIP, CP).Experience with production scheduling and capacity planning.Proficiency in Python and optimization libraries.Understanding of manufacturing processes and constraints.Experience with forecasting and demand planning.Knowledge of queueing theory and simulation.Ability to translate business problems into mathematical models.Strong statistical and analytical skills.Experience deploying optimization models in production.Excellent communication skills for technical and non-technical audiences.Ability to work with messy, real-world data.Understanding of computational complexity and algorithm design.Experience with A/B testing and experimental design.CompensationFor this role, the target salary range is $160,000 - $240,000 (actual range may vary based on experience). This is the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Benefits for Full-time EmployeesMedical, dental, vision, and life insurance plans for employees401kRelocation support may be provided for certain situations, based on business need.Flexible vacation policyEquityITAR RequirementsTo conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.Use of AI in hiringHadrian uses AI-assisted tools in our recruiting and hiring processes to help our team work more efficiently. This may include tools that help organize and analyze recruiting data, as well as an AI-powered notetaker that can record and transcribe interviews and help coordinate feedback. These tools support our team and are not used to make hiring decisions. All candidate evaluations and hiring decisions are performed by humans. If an interview will be recorded, you will be notified in advance and may opt out at any time with no impact on your candidacy. Candidate data processed through these tools is subject to the same protections described in our Privacy Policy.Hadrian Is An Equal Opportunity EmployerIt is the Company’s policy to provide equal employment opportunity for all applicants and employees. The Company does not unlawfully discriminate on the basis of race inclusive of traits historically associated with race (including, but not limited to, hair texture and protective hairstyles, such as braids, locks and twists), color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, transgender status, national origin (including, in California, possession of a drivers license), ancestry, citizenship, age, physical or mental disability, height or weight, medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, exercise of reproductive rights, any other basis protected by local, state, or federal laws, or any combination of the above characteristics. When necessary, the Company also makes reasonable accommodations for disabled candidates and employees, including for candidates or employees who are disabled by pregnancy, childbirth, or related medical conditions.LocationLos Angeles, CAEmployment TypeFull timeLocation TypeOn-siteDepartmentEngineering, Product, Design