Operations Research Scientist

Hadrian

Los Angeles (CA)

On-site

USD 160,000 - 240,000

Full time

14 days+
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Benefits offered by this job

Medical, dental, vision, and life insurance
401(k) plan
Flexible vacation policy

Job summary

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.

Qualifications

  • Expert knowledge of optimization solvers.
  • Strong background in mathematical optimization.
  • Experience with production scheduling and capacity planning.

Responsibilities

  • Design and implement production scheduling algorithms.
  • Develop queue management systems to optimize throughput.
  • Create demand forecasting models using modern techniques.

Skills

Optimization solvers (OR-Tools, Gurobi, CPLEX)
Mathematical optimization (LP, MIP, CP)
Production scheduling
Capacity planning
Python and optimization libraries
Forecasting and demand planning
Queueing theory and simulation
Statistical and analytical skills

Job description

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.

Role

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.

What You’ll Do
  • Design 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 reinforcement learning 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 For
  • Expert 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.
Compensation

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.

Benefits For Full‑time Employees
  • Medical, dental, vision, and life insurance plans for employees.
  • 401(k) plan.
  • Relocation support may be provided for certain situations, based on business need.
  • Flexible vacation policy.
ITAR Requirements

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.

Hadrian Is An Equal Opportunity Employer

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.

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