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Optimization Engineer Gurobi Jobs (NOW HIRING)

Sr Industrial Engineer, Optimization

Dekalb, IL · On-site

$42 - $57.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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) ...

Sr Industrial Engineer, Optimization

Dekalb, IL · On-site

$42 - $57.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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) ...

New

Sr Industrial Engineer, Optimization

Maplewood, MN · Hybrid

$43.75 - $60/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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) ...

Sr Industrial Engineer, Optimization

Dekalb, IL · Hybrid

$42 - $57.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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) ...

Industrial Engineer - Modeling & Optimization

Manhattan, NY · On-site

$77K - $104K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This position supports a corporate engineering team that helps Corning sites solve complex ... Experience with optimization/modeling tools such as CPLEX, Gurobi, Pyomo, GLPK, or similar tools

New

Showing results 21-40

Optimization Engineer Gurobi information

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How much do optimization engineer gurobi jobs pay per hour?

As of Aug 17, 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.

What cities are hiring for Optimization Engineer Gurobi jobs?

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What states have the most Optimization Engineer Gurobi jobs?

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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 August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $124,067 per year, or $59.6 per hour.

Performance & Capacity Engineering - Capacity Planning Optimization

Meta

Bellevue, WA

$184K/yr

Full-time

Re-posted 9 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 244 rated software companies


Job description

Meta is seeking a Performance & Capacity Engineer to join the Capacity Planning and Optimization Engineering (CPOE) team to focus on site-wide performance and capacity optimization at the intersection of all Meta products and services, and all physical infrastructure (Servers, Data Centers, Network). This role will focus on creating and optimizing capacity plans at various altitudes to balance capacity, power, and cost, in an environment of continual product introduction, directly managing billions of investment annually. We do this primarily by building software and mathematical optimization models, not manual planning. This role will be uniquely positioned to optimize these capacity plans and scalably manage exceptions at the most strategic levels with company level impact. This is one of the most cross functional roles at the company, with the opportunity to work with a variety of engineering and business teams to power the rapid growth of Meta’s products. This role will help to ensure optimal operation of our infrastructure from both a cost and technology perspective, with millions of servers, Gigawatts of data center capacity, and cutting edge technology including AI, Metaverse, etc. Help build one of the largest fleets, powering one of the largest internet services in the world!
Performance & Capacity Engineering - Capacity Planning Optimization Responsibilities:
  • Own infrastructure capacity planning for Meta: including Servers, Data Centers, Network
  • Design, implement and launch software systems to improve capacity planning efficiency and quality, partnering with software engineers
  • Contribute to end to end capacity planning processes, methodologies, and data to deliver executable and optimized plans
  • Manage and resolve critical escalations and exceptions in all areas of the capacity planning
  • Build linear programming models to perform simulation and optimization studies of demand and supply projections, scenario planning, and feasibility analysis while balancing various constraints
  • Work cross-functionally to define problem statements, collect data, build analytical models and make recommendations to drive change and optimization at the most strategic levels
  • Partner across Infra: such as platform teams, operations, networking planning, data center planning as well as Product and Finance teams to find the most optimal ways to scale our Infrastructure
  • Effectively navigate complex tradeoffs and relationships to balance solving for team, cross-functional partner / stakeholders, and Meta company priorities. Balance the need to “keep things running” with longer-term, high-impact projects

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 8+ years of experience in performance or software engineering and/or optimization pertinent data science or equivalent practical experience
  • 8+ years of experience in designing and implementing models and optimization algorithms
  • 4+ years of experience in coding/scripting languages such as Python, R, Java, C, C++, PHP
  • 4+ years of experience with LP solvers such as Xpress or Gurobi
  • Experience working with distributed systems at scale
  • Experience in infrastructure operations and technical infrastructure knowledge
  • Experience working with cross-functional teams
  • Experience optimizing complex systems, working with large datasets, and driving business impact

Preferred Qualifications:
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$184,000/year to $257,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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