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Integer Programming Jobs (NOW HIRING)

At Integer, our values are embedded in everything we do. Customer We focus on our customers ... Bachelor of Science in Engineering/Technical field, advance degree Master or PhD preferred Minimum ...

Data Modeler (CPLEX)

Chicago, IL · On-site

$56.50 - $73.25/hr

Strong background in linear and integer programming - Technical Skills: Familiarity with C programming language and Linux operating system - Total Experience: At least 5 years in relevant technical ...

... Integer Programming or Reinforcement Learning. • Implement and maintain feature stores, model monitoring workflows, and drift checks using MLflow (metrics, alerts, lineage). • Design and execute ...

Develop and optimize mathematical models using Linear Programming and Mixed Integer Programming. * Work with optimization tools such as OpenSolver and Gurobi to solve large-scale business problems.

Engineer, Senior - Extrusion*

Trenton, GA

$82K - $112K/yr

At Integer, our values are embedded in everything we do. Customer We focus on our customers ... You will plan and develop engineering projects concerned with unique or high-profile problems which ...

At Integer, our values are embedded in everything we do. Customer We focus on our customers ... The primary purpose of this position is to perform work which involves general engineering methods ...

At Integer, our values are embedded in everything we do. Customer We focus on our customers ... You will plan and develop engineering projects concerned with unique or high-profile problems which ...

Quality Engineer II

Salem, VA

$69K - $90K/yr

At Integer, our values are embedded in everything we do. Customer We focus on our customers ... You apply engineering concepts to resolve acute or chronic problems. You will ensure Integer ...

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Integer Programming information

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How much do integer programming jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for integer programming in the United States is $31.57, according to ZipRecruiter salary data. Most workers in this role earn between $26.92 and $35.58 per hour, depending on experience, location, and employer.

What are the typical challenges faced by professionals working in integer programming roles?

One common challenge in Integer Programming roles is formulating complex real-world problems into precise mathematical models that can be solved efficiently using available algorithms. Professionals in this field often need to balance computational efficiency with solution accuracy, especially when dealing with large-scale data or tight time constraints. Collaboration with domain experts and business stakeholders is also crucial to ensure models reflect practical considerations and organizational goals. Successfully overcoming these challenges requires both strong technical expertise and effective communication skills.

What is an integer programming?

An Integer Programming job involves using mathematical optimization techniques to solve problems where some or all of the decision variables must be integers. Professionals in this role apply integer programming methods to areas like operations research, logistics, finance, and scheduling. They often work with software tools such as CPLEX, Gurobi, or open-source solvers to model and optimize complex problems. Strong analytical skills and a background in mathematics, computer science, or engineering are typically required.

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

To thrive in Integer Programming roles, you need a solid background in mathematics, operations research, and optimization theory, typically supported by a degree in a related quantitative field. Familiarity with mathematical optimization software (such as CPLEX, Gurobi, or MATLAB), programming languages (like Python or C++), and relevant certifications is highly valued. Strong analytical thinking, problem-solving ability, and collaboration skills are essential soft skills for success. These competencies enable professionals to efficiently develop models, interpret results, and implement solutions that drive impactful decision-making in business and technology settings.

What are the most commonly searched types of Integer Programming jobs? The most popular types of Integer Programming jobs are:
What states have the most Integer Programming jobs? States with the most job openings for Integer Programming jobs include:
Infographic showing various Integer Programming job openings in the United States as of July 2026, with employment types broken down into 15% Internship, 21% As Needed, 14% Full Time, 10% Part Time, 37% Temporary, and 3% Summer. Highlights an 57% Physical, 1% Hybrid, and 42% Remote job distribution, with an average salary of $65,660 per year, or $31.6 per hour.

Operations Research / Systems Analyst (ORSA) - Optimization & Mathematical Programming

SMX

Hanover, MD

$98K - $115K/yr

Other

Posted 18 days ago


Job description

The Operations Research (OR) Analyst - Optimization & Mathematical Programming Focus provides advanced optimization, resource allocation, and prescriptive analytics across a Federal Agency's personnel vetting, industrial security, and counterintelligence operations. This position formulates and solves complex mathematical programming problems that enable the Federal Agency to optimize resource deployment, prioritize competing requirements, and transition from reactive decision-making toward mathematically grounded, optimal resource allocation strategies.

Essential Duties and Responsibilities

Mathematical Optimization & Resource Allocation

  • Formulate real-world resource allocation problems as mathematical optimization models (linear programming, integer programming, mixed-integer programming)
  • Develop and implement optimization algorithms for complex assignment problems including adjudicator workload distribution, facility inspection scheduling, and investigator allocation
  • Apply constraint programming and heuristic methods to solve large-scale, computationally challenging optimization problems
  • Build decision support tools that enable operational leaders to explore tradeoffs and make resource deployment decisions with mathematical rigor

Strategic Analysis & Decision Support

  • Conduct cost-benefit analyses and apply mathematical programming techniques to optimize the distribution of personnel, budgetary, and operational resources across competing requirements
  • Apply risk-based optimization to prioritize facility assessments, case assignments, and inspection schedules based on threat levels and resource constraints
  • Perform trade-space analysis and sensitivity studies to understand how optimal solutions change under different assumptions, constraints, or objectives
  • Develop multi-objective optimization approaches that balance competing goals (speed, quality, cost, risk mitigation)

Model Development & Implementation

  • Utilize optimization solvers (Gurobi, CPLEX, or open-source alternatives like Pyomo, PuLP, OR-Tools) to implement and solve mathematical models
  • Validate optimization model outputs against historical operational data and subject matter expert judgment
  • Develop prescriptive analytics that recommend specific actions based on optimization results
  • Create scenario planning tools that allow decision-makers to explore "what-if" questions regarding resource allocation strategies

Collaboration & Communication

  • Work closely with modeling/simulation specialists to incorporate predictive analytics into optimization formulations
  • Partner with data engineering specialists to obtain empirically-grounded parameters, constraints, and objective function coefficients
  • Translate mathematical optimization results into clear, actionable recommendations for non-technical decision-makers
  • Present optimization approaches, tradeoff analyses, and recommendations to senior leadership
  • Participate in cross-functional team activities to maintain technical standards and share knowledge

Required Skills & Experience 

  • 8+ years of progressive, hands-on operations research experience, including demonstrated application of mathematical optimization, resource allocation modeling, and prescriptive analytics to real-world operational problems
  • 3-5 years of that experience supporting DoD or Intelligence Community mission areas such as personnel vetting, industrial security (NISP), counterintelligence, or insider threat
  • Expert-level proficiency in mathematical optimization including linear programming, integer programming, and mixed-integer programming
  • Hands-on experience with optimization solvers (Gurobi, CPLEX, FICO Xpress, or open-source alternatives such as Pyomo, PuLP, OR-Tools, COIN-OR)
  • Demonstrated ability to formulate real-world problems as mathematical programs, including objective function design and constraint identification
  • Proven proficiency in an analytical programming language (Python or R), with emphasis on optimization modeling libraries
  • Experience with constraint programming and heuristic solution methods for large-scale or computationally difficult problems
  • Strong foundation in algorithm design, computational complexity, and solution methods
  • Ability to validate optimization models using operational data and communicate results to non-technical stakeholders
  • Experience working in secure (classified) government environments
  • Secret clearance required (active or ability to obtain)

Desired Skills & Experience 

  • Advanced degree in Operations Research, Applied Mathematics, Industrial Engineering, Management Science, or a related quantitative discipline
  • Familiarity with NISP, clearance adjudication processes, and/or insider threat/counterintelligence analytic frameworks
  • Experience with nonlinear optimization and stochastic optimization techniques
  • Knowledge of multi-objective optimization and Pareto analysis
  • Network optimization and graph algorithms (shortest path, max flow, matching problems)
  • Experience with scheduling and routing problems (job shop scheduling, vehicle routing)
  • Familiarity with game theory and decision analysis under uncertainty
  • Knowledge of operations research software (AMPL, GAMS)
  • Data visualization tools (Tableau, Power BI) for communicating optimization results
  • SQL and database querying skills to support model parameterization
  • Knowledge of queueing theory and simulation to better integrate with modeling specialists
  • Experience with statistical modeling and risk analysis to inform optimization formulations

Application Deadline:  July 31, 2026