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Constraint Programming Jobs (NOW HIRING)

Humana

Senior Decision Intelligence Engineer - NBA

$107K - $146K/yr

Familiarity with operations research methods applicable to constrained sequential decisioning: linear programming, mixed-integer programming, Lagrangian relaxation, or constraint programming.

Humana

Senior Decision Intelligence Engineer - NBA

$107K - $146K/yr

Familiarity with operations research methods applicable to constrained sequential decisioning: linear programming, mixed-integer programming, Lagrangian relaxation, or constraint programming.

Humana, Inc.

Senior Decision Intelligence Engineer - NBA

$107K - $146K/yr

Familiarity with operations research methods applicable to constrained sequential decisioning: linear programming, mixed-integer programming, Lagrangian relaxation, or constraint programming.

Humana

Senior Decision Intelligence Engineer - NBA

$107K - $146K/yr

Familiarity with operations research methods applicable to constrained sequential decisioning: linear programming, mixed-integer programming, Lagrangian relaxation, or constraint programming.

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Constraint Programming information

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$44.5K

$70.9K

$99K

How much do constraint programming jobs pay per year?

As of Sep 11, 2026, the average yearly pay for constraint programming in the United States is $70,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $88,500.00 per year, depending on experience, location, and employer.

What is constraint programming?

Constraint programming is a computational paradigm used to solve complex combinatorial problems by specifying constraints that need to be satisfied. Instead of outlining a step-by-step procedure, you define the properties a solution must have, and the constraint solver finds solutions that meet these requirements. It's commonly applied in scheduling, planning, resource allocation, and other optimization tasks. This method is widely used in fields like operations research, artificial intelligence, and computer science to efficiently tackle problems that are otherwise hard to solve.

What are the key skills and qualifications needed to thrive as a constraint programming specialist, and why are they important?

To thrive as a Constraint Programming Specialist, you need a strong background in computer science, discrete mathematics, and optimization, typically with a relevant degree. Proficiency in programming languages like Python or C++, and experience with constraint programming libraries or solvers such as Google OR-Tools or IBM ILOG CPLEX, are essential. Analytical thinking, problem-solving, and effective communication are key soft skills that help in translating real-world problems into constraint models and collaborating with stakeholders. These skills are crucial for developing efficient solutions to complex scheduling, planning, and resource allocation problems in various industries.

What are some common challenges faced by professionals working in constraint programming roles?

Professionals in constraint programming often encounter challenges such as efficiently modeling complex real-world problems and selecting the most suitable algorithms for solving them. Balancing solution accuracy with computational efficiency is a frequent concern, especially when working with large-scale datasets or time-sensitive applications. Collaboration with domain experts is also key, as understanding the specific requirements and constraints of each project is crucial for developing effective solutions. Additionally, staying updated with the latest advances in solvers and optimization techniques is important for maintaining a competitive edge in this field.

What is the difference between Constraint Programming vs Data Analyst?

AspectConstraint ProgrammingData Analyst
Required CredentialsTypically a degree in Computer Science, Operations Research, or related fieldsUsually a degree in Statistics, Mathematics, or Business
Work EnvironmentSoftware development, optimization projects, algorithm designData analysis, reporting, data visualization
Industry UsageOperations research, logistics, scheduling, AIFinance, marketing, healthcare, retail

Constraint Programming focuses on solving complex combinatorial problems through algorithms and constraints, often in software or operations research. Data Analysts interpret and visualize data to support business decisions. While both roles involve working with data and algorithms, Constraint Programming is more technical and algorithm-driven, whereas Data Analysts focus on data interpretation and reporting.

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What cities are hiring for Constraint Programming jobs?

Cities with the most Constraint Programming job openings:

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What other helpful pages are available for Constraint Programming?

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Constraint Programming jobs near you
Infographic showing various Constraint Programming job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $70,857 per year, or $34.1 per hour.

Director of Engineering, WFM Operations Research (Individual Contributor)

Durham, NC • On-site

Fidelity Investments
Investment Management and Consulting Services • 10K+ employees
Learn more about Fidelity Investmentsexternal

Full-time

Posted 20 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 274 frontline employees who took The Breakroom Quiz

Job description


Note: Fidelity will not provide immigration sponsorship for this position.
The Role
Fidelity is building a modern, in-house Workforce Management (WFM) platform. You will own and build a constraint-solver foundation for the Contact Center Workforce Management schedule optimization engine leveraging a CP-SAT/OR-Tools engine at enterprise scale and reliability. This role is deeply a hands-on role, you will design, develop, and implement advance optimization models and algorithms to solve complex workforce planning and scheduling problems.
Key Responsibilities
  • Research, design, and develop optimization models for contact center workforce planning, scheduling and resource allocation.

  • Design and implement the schedule optimization engine using OR-Tools/CP-SAT

  • Own the constraint model end to end: formalize business rule into a solvable, maintainable model.

  • Build the production-grade solver as a service within the WFM platform that meets latency targets for real forecast group volumes

  • Define and validate schedule quality metrics (coverage attainment, constraint violations, solve time, solution stability across re-solves) and instrument the service so quality can be monitored in production.

  • Build and execute tests and validation of optimization algorithms to deliver performance, scalability, and accuracy

  • Collaborate with architects and engineering teams to integrate optimization models into an enterprise-grade optimization engine of the workforce management platform.

  • Effectively communicate and present findings, methodologies, and results to engineering and business stakeholders.

  • Partner with workforce-planning and real-time-analyst stakeholders to validate that generated schedules are operationally usable.

Required Qualifications
  • Bachelor's of master's degree in operations research, Mathematics, Computer Science, or a related field.

  • 5+ years of experience in applying operations research techniques to real-world problems

  • Hands-on production experience with OR-Tools, CP-SAT, or a comparable constraint-programming / mixed-integer-programming solver.

  • Strong foundation in linear programming, integer programming, or stochastic optimization.

  • Proficiency in Java, Python, or C++.

  • Experience with cloud platforms such as AWS, GCP, or Azure.

  • Experience working with large datasets and solving large scale optimization problems.

  • Direct experience modeling and solving workforce or resource scheduling problems.

  • Working knowledge of WFM domain.

  • Knowledge of distributed systems and event-driven architecture

Preferred Qualifications
  • Prior experience building scheduling or optimization capability at a WFM SaaS provider or a large in-house contact center operations team.

  • Familiarity with other solver technologies (e.g., Gurobi, CPLEX, OptaPlanner).

  • Experience in applying ML, AI, or Data Science

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.
Certifications:
Category:
Information Technology
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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