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Optimization Engineer Gurobi Jobs (NOW HIRING)

3M

Sr Industrial Engineer, Optimization

Dekalb, IL · On-site

$42 - $57.50/hr

Five (5) years of experience in Supply Chain Network Optimization tools such as Llamasoft Supply Chain Guru, Optilogic, JDA Strategist or Gurobi and industrial engineering methodologies. * Three (3) ...

3M

Sr Industrial Engineer, Optimization

Maplewood, MN · Hybrid

$43.75 - $60/hr

Five (5) years of experience in Supply Chain Network Optimization tools such as Llamasoft Supply Chain Guru, Optilogic, JDA Strategist or Gurobi and industrial engineering methodologies. * Three (3) ...

3M

Sr Industrial Engineer, Optimization

Dekalb, IL · Hybrid

$42 - $57.50/hr

Five (5) years of experience in Supply Chain Network Optimization tools such as Llamasoft Supply Chain Guru, Optilogic, JDA Strategist or Gurobi and industrial engineering methodologies. * Three (3) ...

Scale Microgrid Solutions

Sr Software Engineer

New York, NY · On-site

$134K - $176K/yr

We are looking for a full-stack software engineer to build software to efficiently manage ... optimization models (MILP/LP) using Pyomo and commercial or open-source solvers (HiGHS, Gurobi) for ...

Scale

Sr Software Engineer

Manhattan, NY · On-site

$134K - $177K/yr

... optimization models (MILP/LP) using Pyomo and commercial or open-source solvers (HiGHS, Gurobi) for ... engineering, operations, and product to turn workflows into production-ready automation • ...

Scale Microgrid Solutions

Sr Software Engineer

New York, NY · On-site

$134K - $176K/yr

We are looking for a full-stack software engineer to build software to efficiently manage ... optimization models (MILP/LP) using Pyomo and commercial or open-source solvers (HiGHS, Gurobi) for ...

Scale Microgrid Solutions

Sr Software Engineer

New York, NY · On-site

$134K - $176K/yr

We are looking for a full-stack software engineer to build software to efficiently manage ... optimization models (MILP/LP) using Pyomo and commercial or open-source solvers (HiGHS, Gurobi) for ...

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Optimization Engineer Gurobi information

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$40

$59

$81

How much do optimization engineer gurobi jobs pay per hour?

As of Sep 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 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.

How does an optimization engineer 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.

What are the key skills and qualifications needed to thrive as an optimization engineer 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 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.

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Optimization Engineer Gurobi jobs near you
Infographic showing various Optimization Engineer Gurobi job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $124,067 per year, or $59.6 per hour.

AI Engineer - Decision & Optimization Systems

Gallatin AI, Inc.

El Segundo, CA • On-site

$103K - $142K/yr

Full-time

Re-posted 28 days ago

Job description

Job Summary:
Gallatin AI, Inc. is focused on rebuilding logistics infrastructure for national security missions. They are seeking an AI Engineer to develop systems that enforce feasibility and authority in AI-generated logistics plans, ensuring compliance with command hierarchy and operational realities.
Responsibilities:
• Build & Own Feasibility and Authority Models
• Design and implement models that encode command hierarchy, authority limits, and policy rules into formal feasibility checks.
• Convert AI-agent outputs (LLMs, planners, probabilistic models) into deterministic, enforceable constraints before execution.
• Ensure that authority and policy interpretations are traceable, inspectable, and safe.
• Build and maintain a centralized constraint framework used across optimization and planning systems.
• Encode: Authority rules, Compatibility constraints, Timing windows, Asset availability and readiness
• Surface clear diagnostics for infeasible plans and constraint violations so humans and machines can understand what failed and why.
• Own the data inputs required for feasibility and constraint enforcement.
• Define and enforce data contracts, normalization, and validation pipelines.
• Build robustness against incomplete, delayed, or noisy operational data.
• Integrate feasibility checks into real-time and batch planning pipelines.
• Partner with optimization and execution teams to gate all actions on valid, policy-compliant inputs.
• Validate system behavior using scenario testing, simulations, and operational feedback from real users.
Qualifications:
Required:
• Proficiency in at least one of: Python, Java, Go, or C++
• Experience building constraint-based or rule-based systems in production.
• Experience integrating AI or agent-based reasoning into downstream decision or execution pipelines.
• Degree or equivalent experience in Operations Research, Applied Math, Industrial Engineering, Computer Science, or related field.
• Strong understanding of: Linear programming, Mixed-integer programming, Constraint satisfaction systems
• Experience using tools such as Gurobi, CPLEX, OR-Tools, Pyomo, AMPL, or equivalent.
• Ability to reason about feasibility vs optimality tradeoffs.
• Comfort integrating probabilistic or AI-derived outputs into deterministic systems.
• Strong instincts for debugging, failure analysis, and explainability in high-stakes environments.
Preferred:
• Experience with logistics, supply chain, or routing systems.
• Experience working alongside optimization or planning teams.
• Exposure to defense, government, or mission-critical operations.
• Prior work integrating AI agents into decision or execution pipelines.
Company:
Gallatin is building a logistics platform based on the needs and constraints of today's defense industry. Founded in 2024, the company is headquartered in El Segundo, USA, with a team of 11-50 employees. The company is currently Early Stage.

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