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Hadrian is seeking an Operations Research Scientist in Los Angeles to drive manufacturing excellence by tackling complex challenges in aerospace manufacturing. You will design algorithms to optimize production queues, develop capacity planning models, and create dashboards for visualization of results.
The ideal candidate will have expert knowledge of optimization solvers and experience with statistical data analysis. The compensation range is competitive, reflecting the skills and experience of the candidate.
Hadrian 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.
You will drive manufacturing excellence through advanced optimization at Hadrian. As an Operations Research Scientist, you’ll tackle complex scheduling, capacity planning, and resource allocation challenges in aerospace manufacturing. Using cutting‑edge solvers and potentially reinforcement learning 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.
Target salary range: $160,000 – $240,000 (actual range may vary by experience). The amount may be modified in the future and is based on education, experience, skills, location, performance, and business needs.
To 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.
It 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, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, transgender status, national origin, 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, or any other basis protected by local, state, or federal laws. When necessary, the Company also makes reasonable accommodations for disabled candidates and employees, including for those disabled by pregnancy, childbirth, or related medical conditions.