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Operations Research Engineer Jobs in California (NOW HIRING)

Research Engineer - Search/IR Research Engineer (Focused on Search/IR) You'll own the search and ... the operational complexity of keeping billions of documents queryable and fast. Hands-on with ...

With a culture built on innovation and operational excellence, LLNL is a place where your expertise ... engineers, internally and externally, to accomplish research goals. * Perform other duties as ...

With a culture built on innovation and operational excellence, LLNL is a place where your expertise ... engineers, internally and externally, to accomplish research goals. * Perform other duties as ...

With a culture built on innovation and operational excellence, LLNL is a place where your expertise ... engineers, internally and externally, to accomplish research goals. * Perform other duties as ...

With a culture built on innovation and operational excellence, LLNL is a place where your expertise ... engineers, internally and externally, to accomplish research goals. * Perform other duties as ...

Background in operations research or decision sciences * Familiarity with GPU computing and ... Join top engineers who thrive on challenging problems and high-impact work * Startup upside: Early ...

Senior Research Engineer

Hilmar, CA · On-site

$111K - $153K/yr

Support operations to achieve optimal process efficiency and performance. Provide technical support ... Engineering, or a related field. Knowledge of research principles and ability to perform ...

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Operations Research Engineer information

See California salary details

$35.5K

$83.9K

$133.2K

How much do operations research engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for operations research engineer in California is $83,915.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,600.00 and $92,800.00 per year, depending on experience, location, and employer.

What does an Operations Research Engineer do?

An Operations Research Engineer applies mathematical modeling, statistical analysis, and optimization techniques to solve complex business and engineering problems. They use data-driven decision-making to improve efficiency, reduce costs, and enhance system performance in industries such as logistics, manufacturing, finance, and transportation. By leveraging algorithms, simulations, and predictive analytics, they help organizations make informed decisions. Their work often involves programming, data analysis, and collaboration with cross-functional teams to implement practical solutions.

What are the key skills and qualifications needed to thrive in the Operations Research Engineer position, and why are they important?

To excel as an Operations Research Engineer, you need a solid grounding in mathematics, statistics, optimization, and analytical problem-solving, typically supported by a relevant engineering or quantitative degree. Proficiency with tools such as MATLAB, Python, R, CPLEX, or simulation software, as well as familiarity with data analysis platforms, is commonly required. Strong communication, teamwork, and adaptability are vital soft skills for presenting findings and collaborating across multidisciplinary teams. Mastery of these abilities is crucial to developing effective solutions that improve operational efficiency in complex business environments.

What does a typical day look like for an Operations Research Engineer?

A typical day for an Operations Research Engineer involves identifying operational challenges, gathering and analyzing data, developing mathematical models, and simulating scenarios to propose improvements. You will often collaborate closely with cross-functional teams—including data scientists, engineers, and business managers—to understand requirements and implement optimal solutions. Expect to spend time both independently conducting research and attending meetings to present your findings and receive feedback. The role provides a good balance of technical work, problem-solving, and teamwork, making each day dynamic and intellectually engaging.

What are the most commonly searched types of Operations Research Engineer jobs in California? The most popular types of Operations Research Engineer jobs in California are:
What are popular job titles related to Operations Research Engineer jobs in California? For Operations Research Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Operations Research Engineer jobs in California look for? The top searched job categories for Operations Research Engineer jobs in California are:
What cities in California are hiring for Operations Research Engineer jobs? Cities in California with the most Operations Research Engineer job openings:
Operations Research Scientist

Operations Research Scientist

Hadrian Automation, Inc

Los Angeles, CA • On-site

$160K - $240K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Job description

Hadrian - Manufacturing the Future
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're accelerating our mission with the launch of Factory 3 in Mesa, Arizona, a 290,000-square-foot facility creating 350 new jobs. We are expanding rapidly to support thousands of future hires, launching Hadrian Maritime to expand into naval production, and introducing a Factory-as-a-Service model that delivers complete systems instead of individual parts.
Hadrian is backed by leading investors including T. Rowe Price, Lux Capital, Founders Fund, and Andreessen Horowitz, our fast-growing team is united around reindustrializing American manufacturing for the 21st century and beyond.
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

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. Learn more about the ITAR here.
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 inclusive of traits historically associated with race (including, but not limited to, hair texture and protective hairstyles, such as braids, locks and twists), color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, transgender status, national origin (including, in California, possession of a drivers license), 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, any other basis protected by local, state, or federal laws, or any combination of the above characteristics. 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.