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Optimization Engineer Gurobi Jobs (NOW HIRING)

Senior Optimization Engineer

Embry Hills, GA ยท On-site +1

$103K - $141K/yr

D. with demonstrated research in engineering optimization or related fields Experience with commercial optimization codes such as CPLEX, Gurobi, modeFRONTIER, HEEDS, LS-OPT, iSight, GT-SUITE ...

Senior Optimization Engineer

Warren, MI ยท On-site

$97K - $134K/yr

D. with demonstrated research in engineering optimization or related fields Experience with commercial optimization codes such as CPLEX, Gurobi, modeFRONTIER, HEEDS, LS-OPT, iSight, GT-SUITE ...

Senior Optimization Engineer

Warren, MI ยท On-site

$97K - $134K/yr

D. with demonstrated research in engineering optimization or related fields Experience with commercial optimization codes such as CPLEX, Gurobi, modeFRONTIER, HEEDS, LS-OPT, iSight, GT-SUITE ...

Optimization Engineer

$217K - $237K/yr

The Optimization Engineer will provide technical leadership in the creation of a programmatic ... Familiarity with solvers such as Gurobi, XPRESS, HiGHS, or CPLEX and modeling frameworks like Pyomo ...

Optimization Engineer

Charleston, WV ยท Remote

$217K - $237K/yr

The Optimization Engineer will provide technical leadership in the creation of a programmatic ... Familiarity with solvers such as Gurobi, XPRESS, HiGHS, or CPLEX and modeling frameworks like Pyomo ...

Senior MIP Developer (Global Remote)

$55.75 - $73.75/hr

At Gurobi Optimization, we're on a mission! A mission that focuses on mathematical optimization. We ... As a Senior MIP Developer at Gurobi Optimization, your primary responsibility will be to enhance ...

Senior Optimization Engineer

Santa Clara, CA ยท Remote

$122K - $168K/yr

Minimum 5 years of experience in optimization modeling tools and solvers (AMPL/AIMMS, CPLEX, Gurobi). * Minimum 3 years of experience with high-level programming languages. * Minimum 3 years of ...

Senior Modeling & Optimization Engineer

Brisbane, CA ยท On-site

$125K - $172K/yr

The Senior Modeling & Optimization Engineer will analyze operational data and build simulation ... Gurobi, PuLP, scipy.optimize, etc.). Company : Mytra is a robotics company developing software ...

Senior Optimization Engineer

Santa Clara, CA ยท On-site

$122K - $168K/yr

Minimum 5 years of experience in optimization modeling tools and solvers (AMPL/AIMMS, CPLEX, Gurobi). * Minimum 3 years of experience with high-level programming languages. * Minimum 3 years of ...

Gurobi / GurobiPy Pyomo * Select, implement, and tune appropriate optimization algorithms , including: Linear Programming (LP) MixedInteger Linear Programming (MILP) NonLinear Programming (NLP)

Gurobi / GurobiPy Pyomo * Select, implement, and tune appropriate optimization algorithms , including: Linear Programming (LP) Mixed-Integer Linear Programming (MILP) Non-Linear Programming (NLP)

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Optimization Engineer Gurobi information

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How much do optimization engineer gurobi jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for optimization engineer gurobi in the United States is $59.65, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $73.56 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Optimization Engineer specializing in Gurobi, and why are they important?

To thrive as an Optimization Engineer with Gurobi, a strong background in mathematical optimization, operations research, and proficiency in programming languages like Python or C++ is essential, typically supported by a relevant degree in mathematics, engineering, or computer science. Expertise with the Gurobi Optimizer, familiarity with other solvers, and experience using modeling tools such as PuLP or Pyomo are commonly required. Exceptional problem-solving, analytical thinking, and effective communication skills help differentiate top candidates in this role. These skills ensure the engineer can design efficient models, translate business problems into optimization tasks, and clearly communicate solutions to stakeholders.

What is an Optimization Engineer Gurobi?

An Optimization Engineer Gurobi is a professional who specializes in solving complex mathematical optimization problems using the Gurobi Optimizer software. They typically work with linear programming (LP), mixed-integer programming (MIP), and other mathematical models to help organizations make better decisions. Their responsibilities include formulating problems, implementing algorithms, integrating Gurobi with other systems, and improving the efficiency and accuracy of optimization solutions. These engineers often collaborate with data scientists, operations researchers, and software developers to provide optimal solutions for business, logistics, finance, and more.

What is the difference between Optimization Engineer Gurobi vs Operations Research Analyst?

AspectOptimization Engineer GurobiOperations Research Analyst
CredentialsTypically requires a degree in engineering, computer science, or applied mathematics; knowledge of Gurobi solverUsually holds a degree in operations research, mathematics, or related fields; familiarity with optimization tools
Work EnvironmentFocuses on developing and implementing optimization models using Gurobi in tech or manufacturing sectorsAnalyzes complex systems and processes to improve efficiency across various industries
Industry UsageCommon in software, logistics, and manufacturing companies utilizing Gurobi for optimizationUsed across government, consulting, and corporate sectors for decision analysis

Optimization Engineer Gurobi specializes in creating optimization models with Gurobi software, often in technical environments. Operations Research Analysts focus on analyzing and improving systems using various tools, including optimization software. Both roles require strong analytical skills but differ in their specific focus and application.

How does an Optimization Engineer using Gurobi typically collaborate with cross-functional teams to deliver solutions?

As an Optimization Engineer specializing in Gurobi, you will frequently collaborate with data scientists, software developers, and business stakeholders to design and implement mathematical optimization models. Your role involves translating business problems into precise mathematical formulations, integrating Gurobi-powered solutions into larger applications, and presenting results in an accessible way to non-technical team members. Regular communication and teamwork are essential, especially when gathering requirements, iterating on model improvements, and ensuring that solutions align with both technical and business objectives.
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What job categories do people searching Optimization Engineer Gurobi jobs look for? The top searched job categories for Optimization Engineer Gurobi jobs are:
Infographic showing various Optimization Engineer Gurobi job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $124,067 per year, or $59.6 per hour.
Senior Optimization Engineer

Senior Optimization Engineer

Optimal Inc.

Embry Hills, GA โ€ข On-site, Remote

$103K - $141K/yr

Contractor

Posted 12 days ago


Job description

Job Description: Optimization Engineer / Senior Optimization Engineer

Seeking a highly motivated engineer or scientist with strong expertise in multi-objective optimization applied to complex engineering problems. This role will focus on developing, implementing, and deploying optimization methods to support engineering design, analysis, and decision-making across multidisciplinary applications.

Key Responsibilities
Develop and apply multi-objective optimization methods for engineering problems involving tradeoffs among performance, cost, mass, durability, efficiency, or other attributes
Build, validate, and improve optimization models for simulation-driven and data-driven engineering applications
Formulate engineering problems as mathematical optimization models, including objectives, constraints, and decision variables
Use and integrate commercial optimization tools and solvers as well as custom-developed optimization codes
Work with cross-functional engineering teams to translate real-world design challenges into robust optimization workflows
Analyze Pareto-optimal solutions and provide engineering insights to support decision-making
Support model calibration, sensitivity studies, design space exploration, and surrogate/model-reduction approaches where appropriate
Document methods, assumptions, and results, and communicate findings clearly to technical and non-technical stakeholders

Required Qualifications
Master's or Ph.D. in Mechanical Engineering, Aerospace Engineering, Industrial Engineering, Applied Mathematics, Operations Research, Computer Science, or a related field
Strong experience applying multi-objective optimization to engineering problems
Experience in optimization model development
Experience using commercial optimization software, solvers, or frameworks
Strong understanding of mathematical optimization techniques such as gradient-based optimization, nonlinear programming, evolutionary algorithms, surrogate-based optimization, or mixed-integer optimization
Experience working with simulation-based engineering tools and computational models
Strong programming and problem-solving skills

Preferred Qualifications
Ph.D. with demonstrated research in engineering optimization or related fields
Experience with commercial optimization codes such as CPLEX, Gurobi, modeFRONTIER, HEEDS, LS-OPT, iSight, GT-SUITE optimizer, or similar tools
Experience with surrogate modeling, reduced-order modeling, or multi-fidelity optimization
Experience in automotive, CAE, crashworthiness, thermal, structural, manufacturing, or multidisciplinary engineering optimization, simulation software such as LS-DYNA, ABAQUS.
Ability to work in a collaborative environment and influence technical direction across teams

Desired Technical Skills
Multi-objective optimization and Pareto tradeoff analysis
Engineering model formulation and simulation-based optimization
Commercial and custom optimization code development
Numerical methods, statistics, and design of experiments
Python, MATLAB, C++, or similar technical computing languages
Familiarity with finite element, multiphysics, or system-level engineering models