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Optimization Engineer Gurobi Jobs (NOW HIRING)

Strong programming skills in Python or similar languages, with experience using solvers like Gurobi/CPLEX. * Understanding of cloud-based architecture solutions for large-scale optimization. * Strong ...

Strong programming skills in Python or similar languages, with experience using solvers like Gurobi/CPLEX. * Understanding of cloud-based architecture solutions for large-scale optimization. * Strong ...

Principal Quant Developer

Cranston, RI · On-site

$107K - $216K/yr

The Role We are seeking a Principal Quant Developer to join our Quantitative Research & Investments ... Prior experience leveraging industry scale optimization libraries (Matlab Linear, Gurobi, Cplex ...

Principal Quant Developer

Butner, NC · On-site

$107K - $216K/yr

The Role We are seeking a Principal Quant Developer to join our Quantitative Research & Investments ... Prior experience leveraging industry scale optimization libraries (Matlab Linear, Gurobi, Cplex ...

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

We are seeking a highly skilled Full Stack Data Engineer to join our team. This role focuses on ... Gurobi optimization solver * Elementary data validation * Retool development * GoAnywhere MFT * ...

Principal Quant Developer

Hoboken, NJ · On-site

$107K - $216K/yr

The Role We are seeking a Principal Quant Developer to join our Quantitative Research & Investments ... Prior experience leveraging industry scale optimization libraries (Matlab Linear, Gurobi, Cplex ...

Principal Quant Developer

Cary, NC · On-site

$107K - $216K/yr

The Role We are seeking a Principal Quant Developer to join our Quantitative Research & Investments ... Prior experience leveraging industry scale optimization libraries (Matlab Linear, Gurobi, Cplex ...

Principal Quant Developer

Carrboro, NC · On-site

$107K - $216K/yr

The Role We are seeking a Principal Quant Developer to join our Quantitative Research & Investments ... Prior experience leveraging industry scale optimization libraries (Matlab Linear, Gurobi, Cplex ...

Principal Quant Developer

Lincoln, RI · On-site

$107K - $216K/yr

The Role We are seeking a Principal Quant Developer to join our Quantitative Research & Investments ... Prior experience leveraging industry scale optimization libraries (Matlab Linear, Gurobi, Cplex ...

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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 13, 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 cities are hiring for Optimization Engineer Gurobi jobs? Cities with the most Optimization Engineer Gurobi job openings:
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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.
Optimization Scientist

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 3 days ago


ExxonMobil rating

6.0

Company rating: 6.0 out of 10

Based on 225 frontline employees who took The Breakroom Quiz

57th of 75 rated oil and gas companies


Job description

About us

At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.

The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. 

We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about our What and our Why and how we can work together.

About Houston

ExxonMobil's state-of-the-art campus north of Houston serves as home to its Upstream, Product Solutions and Low Carbon Solutions businesses and their associated service groups. The facility opened in 2014 and accommodates more than 10,000 employees and visitors.

By bringing many global functional groups together, the campus provides employees with the tools and capabilities needed today, and in the future, to achieve business objectives and accelerate the discovery of new resources, technologies and products. It was designed to foster improved collaboration, creativity and innovation and enhance the company’s ability to attract, develop and retain the top talent in the industry.

The campus is located in Spring, Texas, on 385 wooded acres immediately to the west of Interstate Highway 45 (I-45), at the intersection of I-45 and the Hardy Toll Road, approximately 25 miles from the cultural vibrancy of downtown Houston.

The campus was constructed to the highest standards of energy efficiency and environmental stewardship. Its design incorporates extensive research into best practices in building and workplace design through extensive benchmarking of the world’s top academic, research, and corporate facilities.

What role you will play in our team

As an Optimization Scientist, you will apply deep technical expertise and strong business understanding to design, implement, and scale advanced optimization solutions across domains such as supply chain, commercial operations, and trading. In this role, you will act as a trusted subject‑matter expert in mathematical optimization, developing innovative algorithms, experimenting with novel solution approaches, and transforming complex business challenges into high‑value optimization models.

What you will do
  • Design and implement scalable mathematical optimization models to address complex business challenges.
  • Partner with stakeholders to identify high-impact opportunities and align solutions with business objectives.
  • Lead the integration of optimization technologies into broader systems, collaborating with engineering and IT teams.
  • Drive innovation by exploring and applying state-of-the-art optimization techniques and tools.
About you

Job Requirements:

  • Ph.D. in Operations Research, Applied Mathematics, Industrial Engineering, Computer Science, or a related discipline.
  • 2+ years of experience (not including school time) in designing and deploying mathematical optimization models.
  • Expertise in linear, mixed-integer programming, optimization under uncertainty (stochastic/robust optimization), algorithm development including decomposition for large-scale optimization.
  • Strong programming skills in Python or similar languages, with experience using solvers like Gurobi/CPLEX.
  • Understanding of cloud-based architecture solutions for large-scale optimization.
  • Strong communication skills with ability to communicate technical details to non-technical business partners
  • Strong strategic mindset with the ability to drive large-scale initiatives.
  • Proven ability to influence and engage with cross-functional teams and leadership.

Preferred Knowledge/Skills/Experience:

  • Proven experience in developing and deploying optimization based solutions
  • Recognized as an industry expert with a track record of publications or presentations in optimization and related fields.
  • Business acumen in supply chain management, commercial, and trading in oil and gas or a similar business is preferred.
  • Experience in applying optimization within supply chain, energy, or operational research domains.
  • Knowledge of integrating optimization models with AI/ML techniques.
  • Proven ability to build external networks and partnerships to drive innovation and collaboration.
  • Strong focus on both technical rigor and business outcomes.
Your benefits

An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance, and life.


We offer you: 

  • Pension Plan: Enrollment is automatic and at no cost to you. The basic benefit is a monthly annuity to be paid to you in retirement for the rest of your life

  • Savings Plan: You can contribute between 6% and 20% of your pay and are encouraged to enroll right away. If you contribute at least 6% to your savings plan, the Company will contribute a 7% match

  • Workplace Flexibility: We have several programs such as “Flex your Day”, providing ad-hoc flexibility around when and where you work, as well as longer-term programs such as leaves of absence and part-time work

  • Comprehensive medical, dental, and vision plans. 

  • Culture of Health: Programs and resources to support your wellbeing

  • Employee Health Advisory Program: Provides confidential professional counseling for you and your family, including tools and resources promoting mental health and resiliency at no additional cost to you

  • Disability Plan: Income replacement for when you cannot work due to illness or injury occurring on or off the job. Enrollment is automatic and at no cost to you

More information on our Company’s benefits can be found at www.exxonmobilfamily.com

Please note benefits may be changed from time to time without notice, subject to applicable law.

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Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. 

Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.


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