Operations Research Scientist

Employment Type: FullTime

Workplace Type: OnSite

Department: Engineering, Product, Design> Platform Engineering

Hadrian - Manufacturing the Future

Hadrian is building autonomous factories to reindustrialize America. By combining AI, advanced software, robotics, and full-stack manufacturing, we help aerospace and defense companies build rockets, satellites, aircraft, ships, and other mission-critical systems up to 10x faster and at significantly lower cost.

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 create American manufacturing jobs for generations to come, you’re exactly who we’re looking for.

The Role

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.

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 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.

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

For this role, the target salary range is $160,000 - $240,000 (actual range may vary based on experience).

This is the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.

Benefits for Full-time Employees

• 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

• Equity

ITAR Requirements

To conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen or national, lawful permanent resident, 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. Learn more about the ITAR here.

Use of AI in hiring

Hadrian uses AI-assisted tools in our recruiting and hiring processes to help our team work more efficiently. This may include tools that help organize and analyze recruiting data, as well as an AI-powered notetaker that can record and transcribe interviews and help coordinate feedback. These tools support our team and are not used to make hiring decisions. All candidate evaluations and hiring decisions are performed by humans. If an interview will be recorded, you will be notified in advance and may opt out at any time with no impact on your candidacy. Candidate data processed through these tools is subject to the same protections described in our Privacy Policy ( .

Consideration of Criminal History

Hadrian will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of all applicable laws. We do not ask about criminal history on our application, and we do not consider criminal history before making a conditional offer of employment.

Hadrian Is An Equal Opportunity Employer

Hadrian does not unlawfully discriminate on the basis of race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, marital status, mental status, physical disability or any other legally protected status. When necessary, the Company also makes reasonable accommodations for disabled candidates and employees, including for candidates or employees who are disabled by pregnancy, childbirth, or related medical conditions.