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Constraint Programming Jobs (NOW HIRING)

Scale Microgrid Solutions

Sr Software Engineer

New York, NY · On-site

$134K - $176K/yr

We are looking for a full-stack software engineer to build software to efficiently manage ... Constraint modeling frameworks (Pyomo) and commercial/open-source solvers (HiGHS, Gurobi, GLPK)

Scale Microgrids

Sr Software Engineer

Manhattan, NY · On-site

$134K - $177K/yr

... and constraint-based planning • Build and extend simulation infrastructure (rolling dispatch ... engineering, operations, and product to turn workflows into production-ready automation • ...

Cisco

ASIC Engineer - SDC

San Jose, CA · On-site

$165K - $241K/yr

Define and maintain clocking architectures and constraint models, including clock groups, timing ... Bachelor's degree in Electrical or Computer engineering and 7+ years of ASIC experience, or Master ...

Cisco

ASIC Engineer - SDC

San Jose, CA · On-site

$165K - $241K/yr

Define and maintain clocking architectures and constraint models, including clock groups, timing ... Bachelor's degree in Electrical or Computer engineering and 7+ years of ASIC experience, or Master ...

femtoAI

Senior ML Compiler Engineer

San Bruno, CA · On-site

$124K - $171K/yr

Constraint-based optimization (e.g., ILP/MILP/CP) * Scheduling optimization * Drive debugging of ... Masters or PhD in Computer Science, Electrical Engineering, Math, or a related field * Deep ...

Epitec

Industrial Eng General

Sterling Heights, MI · On-site

$65K - $88K/yr

Engineering * Corporate SMEs * UAW Required Experience * Minimum 3+ years of experience * Strong background in: * Labor analysis * Time & motion studies * Constraint / productivity analysis

Apple

STA Engineer

Austin, TX · On-site

$99K - $135K/yr

We are searching for a hardworking engineer to join our exciting team of problem solvers...Come ... Constraint analysis and debug, using industry standard tools such as Synopsys GCA (Galaxy ...

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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 Jun 20, 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 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 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.

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 June 2026, with employment types broken down into 95% Full Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $70,857 per year, or $34.1 per hour.
Senior Design Automation Engineer, Applied AI

Senior Design Automation Engineer, Applied AI

Nvidia

Austin, TX

$103K - $135K/yr

Full-time

Posted 5 days ago

Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people.

Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are seeking anApplied AI Engineerto leadend-to-end solution development- spanningdata generation, model training, orchestration, and agentic automation- for timing and constraint analysis workflows. You will be part of a cross-disciplinary team building intelligent systems that learn from sign-off data, reason across flows, and assist engineers in achieving faster and more predictable closure.

What You'll be Doing:

  • Architect and develop AI-driven solutionsfor static timing, constraints quality, and closure prediction.

  • Integrate heterogeneous data sources- timing reports, constraint graphs, design metadata, silicon correlation - into structured knowledge bases and training pipelines.

  • Develop autonomous analysis agentsthat interact with timing tools (e.g., PrimeTime, Nanotime, Tempus) to perform multi-corner, multi-mode optimization and constraint debugging.

  • Implement scalable orchestrationacross Flow-Server and Digital Engineer platforms, enabling AI-in-loop decision-making for sign-off readiness.

  • Collaborate with methodology and sign-off teamsto validate models on live projects, improving coverage, predictability, and engineering productivity.

  • Build interpretable AI pipelinesusing graph neural networks, large language models, and process-aware reasoning engines for timing closure recommendations.

  • Be responsible for the end-to-end lifecycle- from data curation and model training to deployment, monitoring, and continuous improvement in production environments.

What We Need to See:

  • BS (or equivalent experience) in Electrical or Computer Engineering with 12+ years of experience in AI/ML solution development, ideally for EDA, semiconductor, or complex data domains

  • Strong background in VLSI/ASIC design- with deep understanding oftiming, constraints, STA, or sign-off workflows.

  • Proficiency inPython,PyTorch/TensorFlow, andgraph or agentic AI frameworks(e.g., LangGraph, LangChain, Ray, NetworkX).

  • Experience developingdata pipelines,knowledge graphs, orprocess modelsfor structured engineering data.

  • Working knowledge of timing tools (PrimeTime, Nanotime, Tempus) and scripting integration with EDA environments.

  • Experience with AI orchestration frameworks, reasoning based on prompts, and multi-agent automation is highly desirable.

  • Strong problem-solving skills, technical depth, and a mentality for experimentation and continuous learning.

Ways to stand out from the crowd:

  • Experience with constraint validation, false-path detection, and timing-exception modeling.

  • Prior exposure toAI in physical design automation,Silicon/process modeling, orEDA flow automation.

  • Contributions to open-source AI or flow automation projects.

  • Publications or patents in AI for design automation or semiconductor engineering

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 196,000 USD - 310,500 USD for Level 5, and 232,000 USD - 368,000 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 15, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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