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Operations Research Scientist

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Hadrian Automation

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Location:
United States , Los Angeles

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Contract Type:
Not provided

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Salary:

160000.00 - 240000.00 USD / Year

Job Description:

You 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.

Job Responsibility:

  • 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 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

Requirements:

  • 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
What we offer:
  • Medical, dental, vision, and life insurance plans for employees
  • 401k
  • Relocation support may be provided for certain situations, based on business need
  • Flexible vacation policy

Additional Information:

Job Posted:
February 21, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:

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