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Linear Programming Jobs (NOW HIRING)

Linear

$120 - $180/hr

At Linear, we're building the product development system for teams and agents. AI is fundamentally ... The Data team works across Linear, supporting Product, Engineering, and GTM. We own our data ...

PBC Linear Bearings

Controls Engineer

Roscoe, IL · On-site

$100K - $150K/yr

... programming a plus **Requirements: ** * Bachelor's degree in engineering or related 2-year technical degree preferably Electrical Engineering, Robotics, or Mechatronics PBC Linear, A Pacific Bearing ...

Turion Space

Principal Astronautical Engineer

Irvine, CA · On-site

$150K - $270K/yr

Non-linear programming * Ability to design, develop, and test the aforementioned engineering areas * Strong proficiency in C, C++, and Python, and implementation of astronautics functions ...

Turion Space

Principal Astronautical Engineer

Irvine, CA · On-site

$150K - $270K/yr

Non-linear programming * Ability to design, develop, and test the aforementioned engineering areas * Strong proficiency in C, C++, and Python, and implementation of astronautics functions ...

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Linear Programming information

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$44.5K

$70.9K

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How much do linear programming jobs pay per year?

As of Sep 6, 2026, the average yearly pay for linear programming in the United States is $70,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $88,500.00 per year, depending on experience, location, and employer.

What is a linear programming?

A Linear Programming job involves using mathematical optimization techniques to maximize or minimize a particular objective, such as cost reduction or resource allocation, under a set of given constraints. Professionals in this field work with mathematical models, algorithms, and software tools like Python, MATLAB, or specialized solvers. These jobs are common in industries like logistics, finance, operations research, and data science, where efficient decision-making is critical.

What are the typical responsibilities of someone working in a linear programming role?

Professionals specializing in Linear Programming are responsible for developing mathematical models to optimize processes such as resource allocation, scheduling, or logistics. Their daily tasks often include collecting and analyzing data, formulating objective functions and constraints, coding and testing optimization algorithms, and interpreting solutions for practical implementation. Collaboration with cross-functional teams such as data analysts, engineers, and business stakeholders is common to ensure models accurately address real-world challenges. By transforming large and complex datasets into actionable insights, these professionals play a key role in improving efficiency and supporting data-driven decisions across industries.

What are the key skills and qualifications needed to thrive in the linear programming position, and why are they important?

To succeed in a Linear Programming role, you need strong mathematical and analytical skills, typically supported by a degree in operations research, mathematics, or a related quantitative field. Familiarity with optimization software such as CPLEX, Gurobi, or MATLAB, along with programming knowledge in Python or R, is often required. Excellent problem-solving abilities, attention to detail, and clear communication are valuable soft skills in this position. These skills and qualities are crucial for effectively modeling, analyzing, and solving complex optimization problems that drive organizational decision-making.

What careers use linear programming?

Linear programming is used in careers such as operations research analysts, supply chain managers, financial analysts, and industrial engineers. These roles involve optimizing processes, resource allocation, and decision-making using mathematical models and tools like Excel Solver or specialized software. Strong analytical skills and knowledge of optimization techniques are essential in these fields.
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Linear Programming jobs near you
Infographic showing various Linear Programming job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $70,857 per year, or $34.1 per hour.

Principal Optimization Architect -- Gurobi & Decision Intelligence

Bristlecone

Sonoma, CA • On-site

Other

Re-posted yesterday

Key responsibilities

  • Design, formulate, and implement advanced mathematical optimization models tailored to solve complex, large-scale enterprise constraints.

  • Execute advanced tuning, parameter configuration, and structural enhancements using Gurobi Optimizer to improve solve times and compute efficiency.

  • Collaborate with engineering teams to embed core optimization engines into enterprise software architectures and construct scalable APIs and data pipelines.

Job description

About Company::


Bristlecone is a supply chain and business analytics advisor, serving customers across a wide range of industries. Rated by Gartner as among the top ten system integrators in the supply chain space, we are uniquely positioned to solve contemporary business problems, with supply chain and analytics focus as our advantage. We have been a trusted partner and advisor to many leading, globally recognized companies such as Applied Materials, Exxon Mobil, Flextronics, LSI Logic, Mahindra, Motorola, Nestle, Palm, Qatar Petroleum, Ranbaxy, Unilever and Whirlpool and many other


About the Role


We are seeking an industry-leading, visionary Principal Operations Research Consultant / Optimization Architect to spearhead the design, development, and deployment of enterprise-scale decision intelligence and optimization systems. In this high-impact role, you will bridge the gap between complex algorithmic theory and real-world production execution.


You will act as the technical authority on mathematical modeling, leveraging deep expertise in Gurobi Optimizer to translate multi-faceted business bottlenecks into highly scalable, automated frameworks. This role is a unique blend of strategic solution architecture, elite hands-on mathematical programming, and technical team mentorship.


Location: - This is US based role, should be open to travel on needed basis


🎯 Key Responsibilities


  • Optimization Solution Development: Design, formulate, and implement advanced mathematical optimization models (Linear Programming, Mixed-Integer Programming, Non-Linear Programming) tailored to solve complex, large-scale enterprise constraints.
  • Solver Mastery & Engineering: Execute advanced tuning, parameter configuration, and structural enhancements using Gurobi Optimizer (mandatory) to drive down solve times and maximize compute efficiency. Develop pristine, maintainable code primarily in Python.
  • Operations Research Leadership: Systematically apply deep OR methodologies to automate business processes, including Network Design, Fleet Routing, Logistics, Scheduling, Stochastic Optimization, and custom Heuristics/Metaheuristics.
  • Team Leadership & Mentorship: Direct, manage, and scale a high-performing team of data analysts and Operations Research specialists. Conduct rigorous code reviews and establish structural modeling standards.
  • Production Deployment & Automation: Collaborate with engineering teams to embed core optimization engines into enterprise software architectures. Construct scalable APIs, microservices, and continuous data pipelines for automated model execution.


Required Qualifications

  • Experience: 10–12+ years of progressive professional experience explicitly dedicated to optimization architecture and applied Operations Research.
  • Mandatory Technical Depth: Undeniable, extensive hands-on history delivering multiple real-world, commercial-grade optimization engines driven by Gurobi Optimizer.
  • Programming Skills: Expert proficiency in Python alongside an understanding of math modeling libraries (e.g., Pyomo, PuLP, Gurobipy).
  • Education: Bachelor's, Master's, or PhD in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or a deeply quantitative field.
  • Leadership Track Record: Proven background in managing or mentoring technical teams and conducting advanced math code reviews.


đź“© If this sounds like the right fit for you or someone you know, feel free to reach out or drop your resume in the comments or messages!

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