ZipRecruiter

Log In

1

Constraint Programming Jobs (NOW HIRING)

G2i

C++ - Software Engineer, AI

Miami, FL · On-site

$30 - $70/hr

... constraint programming experience is a bonus, but not required) * Strong code-review instincts - you can spot logic errors, performance traps, and security issues quickly * Extreme attention to ...

Google

Staff Software Engineer, NetSoft

Sunnyvale, CA · On-site

Experience in software development with a focus on integer programming, linear programming, or constraint programming. * Experience with computational modeling. Preferred qualifications: * Master ...

Walmart

Staff, Data Scientist

Bentonville, AR · On-site

Expertise in mathematical modeling, linear programming, mixed-integer programming, constraint programming, or stochastic optimization. * Proficiency in programming languages like Python, Java, C, C ...

Avathon

Senior AI Scientist - Planning

Pleasanton, CA

$160K - $240K/yr

Formulate and solve optimization problems (MIP, LP, constraint programming) for production scheduling, allocation, and resource planning * Build simulation and scenario analysis frameworks to support ...

ERMCO

Technical Process Engineer

Dyersburg, TN

This role works under the direction of the Technical Project Manager (TPM) of Process Engineering , supporting plantwide flow objectives and constraint management strategy through datadriven analysis ...

Avathon

Senior AI Scientist - Planning

Pleasanton, CA · On-site

Formulate and solve optimization problems (MIP, LP, constraint programming) for production scheduling, allocation, and resource planning * Build simulation and scenario analysis frameworks to support ...

Fujitsu

Research Intern

Santa Clara, CA · On-site

... constraint programming, discrete-event simulation, queueing models, robust optimization, or simulation-based what-if analysis, is a plus. • Excellent written and verbal communication skills, and ...

next page

Showing results 1-20

All JobsConstraint Programming Jobs

Constraint Programming information

See salary details

$44.5K

$70.9K

$99K

How much do constraint programming jobs pay per year?

As of May 30, 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 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 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 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.

More about Constraint Programming jobs
What cities are hiring for Constraint Programming jobs? Cities with the most Constraint Programming job openings:
What states have the most Constraint Programming jobs? States with the most job openings for Constraint Programming jobs include:
What job categories do people searching Constraint Programming jobs look for? The top searched job categories for Constraint Programming jobs are:
Constraint Programming jobs near you
Infographic showing various Constraint Programming job openings in the United States as of May 2026, with employment types broken down into 78% Full Time, 11% Part Time, and 11% Contract. Highlights an 100% In-person job distribution, with an average salary of $70,857 per year, or $34.1 per hour.

Senior Software Engineer-Founding Engineer (Ayama)

career

San Francisco, CA • On-site, Remote

$144.30K - $190.30K/yr

Full-time

Posted 9 days ago

Job description

Ayama has partnered with Andrew Ng's AI Fund and a Fortune 500 energy leader to use AI to reshape how $10+ Trillion of heavy assets operate, are managed, and are maintained. With electrification driving rapid growth in energy and reshoring accelerating the build out of U.S. electronics and IT manufacturing, the company plans to close critical gaps by raising asset uptime & output as well as staff productivity. Ayama is looking for a Senior Software Engineer to help drive the AI revolution into critical assets.
The senior engineer will work across the full stack, including backend, frontend, data pipelines, and AI systems. The problems span optimization, retrieval, and real-time decision support for field teams. This is a 100% hands-on role. You would be in the code and architecture all day, making decisions and shipping. We expect you to be AI-native and use modern AI development tools to move fast while making sound architectural choices.
This is a full-time hybrid role located in the Bay Area. There is no relocation package budgeted for this role.
Responsibilities for the Role Include:
  • Build and improve production RAG and LLM-based systems
  • Design and maintain data pipelines that integrate enterprise data sources at scale
  • Develop full-stack product features end-to-end, from Python backend through React/TypeScript frontend
  • Work on optimization and scheduling problems with real operational constraints
  • Build evaluation frameworks that measure whether AI systems are actually improving

Requirements For the Role Include:
  • 5+ years of hands-on software engineering experience
  • Full-stack depth in Python (Django/FastAPI) and modern React/TypeScript
  • Production experience building RAG and LLM-based systems, not prototypes
  • Strong architectural judgment
  • Comfort with large-scale data processing and cloud infrastructure (GCP preferred)
  • Fluency with AI-assisted development tools

Nice To Haves Include:
  • Experience with ERP systems, especially SAP (maintenance workflows, master data, integrations)
  • Operations research or constraint programming background
  • Data transformation and orchestration tools (dbt, Prefect, Airflow)

Why Join Ayama:
  • Exclusive Ecosystem: Unparalleled access to AI Fund's experts and Dr.
    Andrew Ng's network of AI luminaries.
  • Real-World Impact: We are solving critical performance gaps in energy supply while demand driven by global electrification skyrockets.
  • Growth Path: Opportunity to evolve from a lead individual contributor to a
    team leader as the company scales.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Apply