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Gurobi Jobs (NOW HIRING)

SysMind Tech

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Gurobi optimization solver * Elementary data validation * Retool development * GoAnywhere MFT * Power BI and DAX * Azure services (ADF, Synapse, Key Vault) * Snowflake ML/AI or R * SQL Server, SSIS, ...

KBR, Inc.

Operations Research Analyst

Beavercreek, OH · On-site

$91K - $108K/yr

Experience with at least one analytical or statistical language/tool (e.g., Python, R, MATLAB, SAS, VBA, Java, SimPy, Simio, Gurobi, and JMP) * Basic experience (coursework, internship, or project ...

KBR

Operations Research Analyst

Beavercreek, OH · On-site

$91K - $108K/yr

Experience with at least one analytical or statistical language/tool (e.g., Python, R, MATLAB, SAS, VBA, Java, SimPy, Simio, Gurobi, and JMP) * Basic experience (coursework, internship, or ...

Jj

Data Science Lead

Milpitas, CA · On-site +1

$148K - $168K/yr

... Gurobi, CPLEX, and BARON; 10. Operations Research tools FICO, Gurobi, AIMMS, and LLamasoft; 11. At least one of the following cloud Data and Analytics solutions: Cloudera or Azure; and 12. Data ...

PODS Enterprises, LLC

Data Scientist III

Clearwater, FL · On-site

$120 - $190/hr

Formulate and solve optimization problems (linear, quadratic, and mixed-integer programming) for pricing and capacity decisions using tools such as Gurobi, CVXPY, or OR-Tools. * Establish model ...

KBR

Operations Research Analyst

Beavercreek, OH

$91K - $108K/yr

Experience with at least one analytical or statistical language/tool (e.g., Python, R, MATLAB, SAS, VBA, Java, SimPy, Simio, Gurobi, and JMP) * Basic experience (coursework, internship, or ...

Mindlance

Data Scientist

San Francisco, CA · On-site

Required : • Gurobi Optimization • Developing predictive models in the area of marketing • Understanding business problems and translating it into data mining problems • Applying techniques ...

Mindlance

Data Scientist

San Francisco, CA · On-site

Required : • Gurobi Optimization • Developing predictive models in the area of marketing • Understanding business problems and translating it into data mining problems • Applying techniques ...

Totalwine

Leverage solvers such as Gurobi (preferred) or equivalent tools to build high-performance solutions, including model tuning and performance optimization * Develop end-to-end decision systems ...

Intel Corporation

Operations Research Engineer

Phoenix, AZ · On-site

$149K - $211K/yr

... GUROBI. - Explore the scalability and decomposition of large-scale Mixed Integer Programming (MIP) and Constraint Programming (CP) models. - Perform code reviews and ensure high standards of code ...

Intel

Operations Research Engineer

Phoenix, AZ · On-site

$149K - $211K/yr

... GUROBI. - Explore the scalability and decomposition of large-scale Mixed Integer Programming (MIP) and Constraint Programming (CP) models. - Perform code reviews and ensure high standards of code ...

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How much do gurobi jobs pay per year?

As of Aug 24, 2026, the average yearly pay for gurobi in the United States is $68,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $59,500.00 per year, depending on experience, location, and employer.

What is a Gurobi?

A Gurobi job refers to the process of solving an optimization problem using the Gurobi Optimizer. Gurobi is a powerful mathematical optimization solver used for linear programming (LP), mixed-integer programming (MIP), and other related problems. A job typically involves defining a model, setting constraints, specifying an objective function, and running the solver to find an optimal solution. It can be executed on local machines or cloud-based environments, depending on the user's needs.

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

To thrive as a Gurobi Optimization Specialist, you need a robust background in mathematical optimization, linear programming, and operations research, often demonstrated through advanced degrees in mathematics, computer science, or engineering. Proficiency in using the Gurobi Optimizer software, as well as experience with programming languages like Python, C++, or Java, is essential; relevant certifications in optimization or analytics can be advantageous. Strong analytical thinking, problem-solving abilities, and clear communication skills help convey complex models and results to technical and non-technical stakeholders. These competencies ensure accurate modeling, efficient problem solving, and effective collaboration with cross-functional teams to drive decision-making.

What are some common challenges Gurobi Optimization Specialists face in their day-to-day work?

Gurobi Optimization Specialists frequently encounter complex, large-scale mathematical models that require precise formulation and tuning for optimal performance. Balancing computational efficiency with model accuracy, especially when dealing with real-world data that may be incomplete or inconsistent, can be challenging. Collaborating with cross-functional teams—such as data scientists, software developers, and business analysts—requires translating technical concepts into actionable insights. Successfully managing these challenges enhances the impact of optimization solutions within an organization.

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Gurobi jobs near you
Infographic showing various Gurobi job openings in the United States as of August 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $68,039 per year, or $32.7 per hour.

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

N2IA Technologies

Washington, DC • On-site

$165K - $195K/yr

Full-time

Posted 27 days ago

Job description

Operations Research / Systems Analyst (ORSA) - Optimization & Mathematical Programming Focus
Our Company
N2IA Technologies is a consulting company specializing in acquisition/contracting support, cost/FinOps, and technology optimization for federal clients. We deliver tailored strategies, robust software solutions, and streamlined operations to help organizations achieve their goals. At N2IA, we are committed to developing innovative financial and compliance-based solutions that address evolving business and regulatory needs. If you are passionate about accounting, financial accuracy, and supporting government programs, N2IA is the place for you.
Position Overview
The Operations Research / Systems Analyst (ORSA) - 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.
Key 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 Qualifications
  • 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).
  • Bachelor degree in Operations Research, Applied Mathematics, Industrial Engineering, Management Science, or a related quantitative discipline.

Preferred Qualifications
  • 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.

N2IA is committed to fostering a diverse and inclusive work environment. We are an Equal Employment Opportunity Employer and encourage applications from all qualified individuals, regardless of gender, race, ethnicity, sexual orientation, disability, or veteran status.

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