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Gurobi Cplex Jobs (NOW HIRING)

Recentive Analytics Inc.

Optimization Scientist

Boston, MA · On-site

$90 - $130/hr

Hands‑on experience with commercial optimization solvers (e.g., Gurobi, CPLEX) and open‑source frameworks. * Iterative Problem‑Solving Approach: A results‑driven mindset with the ability to ...

Fidelity Investments

Principal Quant Developer

Durham, NC · On-site

$107K/yr

Prior experience leveraging industry scale optimization libraries (Matlab Linear, Gurobi, Cplex, Axioma, Gurobi, or SciPy) * Experience with Python and micro-services / RESTful APIs * Proven ability ...

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Gurobi Cplex information

What are Gurobi and CPLEX?

Gurobi and CPLEX are advanced mathematical optimization solvers used to solve complex linear, mixed-integer, and quadratic programming problems. They are widely used in operations research, data science, and engineering fields to find the best solutions under given constraints. Both solvers offer powerful APIs for integration with programming languages such as Python, Java, and C++. Organizations use Gurobi and CPLEX to optimize logistics, scheduling, resource allocation, and various decision-making processes.

What types of projects or problems does a Gurobi/CPLEX specialist typically work on within a team setting?

As a Gurobi/CPLEX specialist, you will often collaborate with data scientists, operations researchers, and software engineers to tackle complex optimization problems such as supply chain planning, scheduling, or logistics. Your responsibilities may include modeling mathematical formulations, fine-tuning solver parameters, and integrating optimization solutions into larger business applications. Effective communication is key, as you’ll need to translate business requirements into mathematical models and explain results to non-technical stakeholders. The role offers opportunities to work on diverse projects and to continuously learn about new industry applications of optimization technology.

What are the key skills and qualifications needed to thrive as an optimization specialist using Gurobi and CPLEX, and why are they important?

To thrive as an Optimization Specialist using Gurobi and CPLEX, you need a strong background in mathematics, operations research, and computer science, often supported by a relevant degree. Proficiency in optimization modeling languages (such as Python, AMPL, or OPL), hands-on experience with Gurobi and CPLEX solvers, and familiarity with relevant certifications or training are highly valuable. Exceptional analytical thinking, problem-solving ability, and clear communication skills set top candidates apart. These skills ensure effective development and deployment of optimization models that solve complex business problems efficiently and accurately.

What is the difference between Gurobi Cplex vs Operations Research Analyst?

AspectGurobi CplexOperations Research Analyst
Required CredentialsAdvanced degree in math, CS, OR; certifications often preferredBachelor's or master's in OR, math, or related fields
Work EnvironmentSoftware development, optimization modeling, technical analysisData analysis, problem-solving, report writing
Industry UsageSupply chain, finance, manufacturing, techLogistics, consulting, government, corporate sectors

Gurobi Cplex is a software tool used for optimization modeling, requiring technical skills and programming knowledge. Operations Research Analysts utilize such tools but focus more on analyzing data and applying optimization techniques to solve complex problems. While both roles overlap in industry and skills, Gurobi Cplex is a specialized software, whereas Operations Research Analysts are professionals who use such tools to inform decision-making.

What cities are hiring for Gurobi Cplex jobs?

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What states have the most Gurobi Cplex jobs?

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Gurobi Cplex jobs near you
Infographic showing various Gurobi Cplex job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.

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

SMX

Hanover, MD • On-site

$98K - $115K/yr

Full-time

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

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: August 31, 2026
The SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications. At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement.
The proposed salary for this position is:
$123,000-$206,000 USD
At SMX®, we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success.
We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what's possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration.
SMX is an Equal Opportunity employer including disabilities and veterans.
Selected applicant may be subject to a background investigation and/or education verification.
SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
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About SMX

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Our tradition of delivering innovative, technical solutions dates back to 1995, however, you may know us better by one of our legacy company names: Trident Technologies, Smartronix, Datastrong or C2S Consulting Group. With the support of OceanSound Partners, our private equity investment sponsor, we began operating as one business starting in 2019 and became SMX in 2021. We operate in close proximity to our clients around the globe and have core locations in Alabama, California, DC Metro, Florida, Hawaii, Maryland, and Massachusetts. Today, as SMX, we are one team and together empower government and commercial enterprises to become more effective, innovative, and resilient, no matter what challenges they face.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Hollywood, MD, US

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