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Hadrian

Robot type
Industrial Automation
Location
Los AngelesCaliforniaUSA
Job type
Artificial Intelligence
Posted
Oct 2, 2025
Salary
$160,000–$240,000 a year
Full-time

Operations Research Scientist

Job description

Following our $1.37B Series D at a $7.87B valuation, Hadrian is rapidly expanding our manufacturing footprint, launching new capabilities across welding, casting, forging, electronics, additive manufacturing, and more, while scaling our Factory-as-a-Service platform to transform how critical products are built.

Backed by leading investors including JPMorgan Chase, Valor Equity Partners, Andreessen Horowitz, Founders Fund, 137 Ventures, Lux Capital, T. Rowe Price, and Morgan Stanley, we’re building the future of American manufacturing—and looking for exceptional people to help make it happen.

If you’re ready to take on the most challenging and rewarding work of your career while helping…

Job responsibilities

  • 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.

Job 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.

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