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Optimization Engineer Gurobi Jobs in Raleigh, NC

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 ...

Optimization Engineer Gurobi information

See Raleigh, NC salary details

$39

$57

$79

How much do optimization engineer gurobi jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for optimization engineer gurobi in Raleigh, NC is $57.98, according to ZipRecruiter salary data. Most workers in this role earn between $42.07 and $71.49 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.
What are popular job titles related to Optimization Engineer Gurobi jobs in Raleigh, NC? For Optimization Engineer Gurobi jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Optimization Engineer Gurobi jobs in Raleigh, NC look for? The top searched job categories for Optimization Engineer Gurobi jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Optimization Engineer Gurobi jobs? Cities near Raleigh, NC with the most Optimization Engineer Gurobi job openings:
Principal Quant Developer

$107K/yr

Full-time

Medical, Retirement, PTO

Posted 24 days ago


Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 270 frontline employees who took The Breakroom Quiz

16th of 150 rated financial services


Job description

Job Description:

Note: Fidelity will not provide immigration sponsorship for this position.

The Role

We are seeking a Principal Quant Developer to join our Quantitative Research and Investments Technology (QRIT) team in Fidelity Asset Management Technology. This role will partner with the quant research and investments teams to design, build, enhance, and support a comprehensive portfolio optimization and back testing ecosystem. This individual will include hands on development collaborating with team of software engineers and quantitative developers.

The Expertise and Skills You Bring

  • Minimum of 7 years of proven professional experience working in financial services (Asset Management experienced preferred)

  • Prior experience leveraging industry scale optimization libraries (Matlab Linear, Gurobi, Cplex, Axioma, Gurobi, or SciPy)

  • Experience with Python and micro-services / RESTful APIs

  • Proven ability to design highly scalable and low latency systems

  • Experience working on AWS cloud environment and working knowledge of CI/CD and DevOps

  • Strong experience in system architecture, design patterns and software engineering fundamentals such as OOP, functional programming, data modeling.

  • Advanced understanding of data structures

  • Demonstrated experience with portfolio construction and/or portfolio optimization is a plus

  • Proven ability to capture requirements and formulate plans by partnering with various stakeholders

  • Strong communication, interpersonal and relationship building skills to influence decisions and engage across Fidelity and at all levels of the organization

  • Bachelor's degree in a computational field such as Computer Science, Master's degree is preferred

Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

The base salary range for this position is $107,000-216,000 USD per year.

Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors.

Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.

Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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