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Optimization Engineer Gurobi Jobs in Arizona (NOW HIRING)

Operations Research Engineer

Phoenix, AZ · On-site

$149K - $211K/yr

  • Medical

  • Retirement

  • PTO

... Optimization models using algebraic modeling languages such as CPLEX/OPL, AMPL, or GUROBI. - Explore the scalability and decomposition of large-scale Mixed Integer Programming (MIP) and Constraint ...

Operations Research Engineer

Phoenix, AZ · On-site

$149K - $211K/yr

  • Medical

  • Retirement

  • PTO

... Optimization models using algebraic modeling languages such as CPLEX/OPL, AMPL, or GUROBI. - Explore the scalability and decomposition of large-scale Mixed Integer Programming (MIP) and Constraint ...

Optimization Engineer Gurobi information

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 job categories do people searching Optimization Engineer Gurobi jobs in Arizona look for?

The top searched job categories for Optimization Engineer Gurobi jobs in Arizona are:

What cities in Arizona are hiring for Optimization Engineer Gurobi jobs?

Cities in Arizona with the most Optimization Engineer Gurobi job openings:

Operations Research Engineer

Intel Corporation

Phoenix, AZ • On-site

$149K - $211K/yr

Full-time

Medical, Retirement, PTO

Re-posted 6 days ago


Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

19th of 157 rated electronics manufacturers


Job description

Job Details:
Job Description:
The Role and Impact
As a Software Research Engineer/Scientist, you will leverage your software expertise, domain knowledge, and research methodologies to solve critical engineering challenges that drive technology and product innovation. On a daily basis, you will develop strategic software applications, algorithms, and AI solutions, conduct cutting-edge research to address industry and customer needs, and prototype new ideas to advance Intel's technological capabilities. Your work will directly contribute to shaping the future of Intel's midterm and long-term objectives.
Business group
As part of Intel's Foundry Automation, you will join a team focused on advancing software solutions that empower innovation and maintain Intel's position at the forefront of the industry. The group collaborates with factory partners, and technical teams to address key technology challenges, explore new possibilities, and deliver impactful solutions that support Intel's broader mission of enabling breakthroughs that drive progress and performance.
Key Responsibilities
- Develop and optimize software applications and algorithms to address strategic technology challenges.
- Prototype and design proof-of-concept solutions to validate new ideas and methodologies.
- Formulate Linear and Integer Optimization models using algebraic modeling languages such as CPLEX/OPL, AMPL, or GUROBI.
- Explore the scalability and decomposition of large-scale Mixed Integer Programming (MIP) and Constraint Programming (CP) models.
- Perform code reviews and ensure high standards of code quality and functionality.
- Utilize data analysis and visualization skills to derive insights and effectively communicate results.
- Collaborate with cross-functional teams, academic partners, and industry-standardization groups to drive impactful research and development initiatives.
Qualifications:
Minimum Qualifications
- Master's degree in relevant field such as Operations Research, Computer Science, or a related discipline with 2+ years of hands-on experience.
Experience to be considered:
- Proficiency in programming languages and software modeling techniques.
- Expertise in Linear and Integer Optimization, including experience with algebraic modeling languages like CPLEX/OPL, AMPL, or GUROBI.
- Strong skills in code review processes and optimization techniques.
Preferred Qualifications
- Experience with large-scale MIP/CP models, decomposition methods, and scalability challenges.
- Advanced data analysis and visualization capabilities.
- Demonstrated problem-solving skills and ability to perform in fast-paced, collaborative environments.
- Passion for innovation, curiosity to explore new technologies, and commitment to Intel's values of integrity, inclusiveness, and excellence.
We are excited about the unique perspectives and expertise you bring to the table. Join us in shaping the future of technology and making an impact that matters
Job Type:
Experienced Hire
Shift:
Shift 1 (United States of America)
Primary Location:
US, Arizona, Phoenix
Additional Locations:
Posting Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Position of Trust
N/A
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $149,600.00-211,200.00 USD
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
Work Model for this Role
This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

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Intel logo

About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968