Hadrian Automation-posted 3 months ago
$160,000 - $240,000/Yr
Full-time • Mid Level
Los Angeles, CA
101-250 employees

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. By combining advanced software, robotics, and full-stack manufacturing, we are reinventing how America produces its most critical parts. We recently raised $260 million dollar Series C to accelerate this mission. We are excited to be launching a new Factory in Mesa, Arizona, a 270,000 square foot facility that will create 350 new jobs immediately. We are opening a new headquarters to support thousands of future hires, launching Hadrian Maritime to serve naval production, and introducing a Factory-as-a-Service model that delivers complete systems instead of individual parts. Hadrian works with startups, Tier 1 and Tier 2 suppliers, and major defense contractors across space, shipbuilding, and aviation to scale production, reduce costs, and accelerate delivery on mission-critical programs. We are backed by leading investors including Lux Capital, Founders Fund, and Andreessen Horowitz. Our fast-growing team is united by a shared mission to reindustrialize American manufacturing for the 21st century and beyond!

  • 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.
  • 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.
  • 100% coverage of medical, dental, vision, and life insurance plans for employees
  • 401k
  • Relocation stipend if you’re moving from outside of LA
  • Flexible vacation policy
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