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Combinatorial Optimization Jobs in Seattle, WA (NOW HIRING)

Nvidia

Senior Software Engineer, AI Networking

Seattle, WA

$139K - $183K/yr

These include tools that use ML-based combinatorial optimization and build space exploration (DSE) techniques. These tools will be employed to optimize AI workloads across large GPU and CPU clusters ...

Amazon

Applied Science Manager, Prime Air

Seattle, WA · On-site

Knowledge of combinatorial optimization and real-time scheduling constraints. A knack for turning ambiguous "blue sky" research into deployed, high-impact features. Export Control License: This ...

Amazon

Applied Science Manager, Prime Air

Seattle, WA · On-site

Knowledge of combinatorial optimization and real-time scheduling constraints. A knack for turning ambiguous "blue sky" research into deployed, high-impact features. Export Control License: This ...

All JobsCombinatorial Optimization JobsCombinatorial Optimization Jobs in Seattle, WA

Combinatorial Optimization information

See Seattle, WA salary details

$47.2K

$162.1K

$228.7K

How much do combinatorial optimization jobs pay per year?

As of Jul 31, 2026, the average yearly pay for combinatorial optimization in Seattle, WA is $162,124.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,900.00 and $189,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Combinatorial Optimization Specialist, and why are they important?

To thrive as a Combinatorial Optimization Specialist, you need a solid background in mathematics, computer science, and operations research, often supported by an advanced degree in a related field. Familiarity with programming languages (such as Python, C++, or Java), optimization libraries, and mathematical modeling tools like CPLEX or Gurobi is typically required. Strong analytical thinking, problem-solving skills, and effective communication help you devise and explain complex solutions to stakeholders. These skills are crucial for developing efficient algorithms and models that address challenging optimization problems in various industries.

How does a Combinatorial Optimization specialist typically collaborate with other departments within an organization?

Combinatorial Optimization specialists frequently work cross-functionally, partnering with data scientists, software engineers, and business analysts to translate complex business problems into mathematical models. They help teams identify optimal solutions for scheduling, routing, resource allocation, and other operational challenges. Effective communication is crucial, as specialists must explain complex algorithms to non-technical stakeholders and integrate their solutions into broader business processes. Collaborative teamwork and iterative problem-solving are common in this role.

What is the difference between Combinatorial Optimization vs Data Analyst?

AspectCombinatorial OptimizationData Analyst
Required CredentialsMathematics, Operations Research, Computer Science degreesStatistics, Data Science, Business Analytics degrees
Work EnvironmentResearch labs, consulting firms, tech companiesCorporate offices, finance, marketing departments
Industry UsageLogistics, manufacturing, AI, supply chainFinance, marketing, healthcare, retail

While both roles involve analytical skills, Combinatorial Optimization focuses on solving complex mathematical problems to find optimal solutions, often in logistics and operations. Data Analysts interpret data to inform business decisions, working across various industries. Understanding these differences helps clarify career paths and employer expectations.

What is combinatorial optimization?

Combinatorial optimization is a field in mathematics and computer science focused on finding the best solution from a finite set of possible solutions. It involves problems where you need to arrange, select, or group discrete objects according to certain rules to achieve an optimal outcome. Examples include scheduling, routing, and assignment problems. Techniques such as linear programming, branch and bound, and heuristics are often used to solve these problems. Combinatorial optimization is widely applied in logistics, operations research, computer science, and engineering.
What are popular job titles related to Combinatorial Optimization jobs in Seattle, WA? For Combinatorial Optimization jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Combinatorial Optimization jobs in Seattle, WA look for? The top searched job categories for Combinatorial Optimization jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Combinatorial Optimization jobs? Cities near Seattle, WA with the most Combinatorial Optimization job openings:
Combinatorial Optimization jobs near you
Infographic showing various Combinatorial Optimization job openings in Seattle, WA as of June 2026, with employment types broken down into 72% Full Time, 14% Part Time, and 14% Contract. Highlights an 42% Physical, 1% Hybrid, and 57% Remote job distribution, with an average salary of $162,124 per year, or $77.9 per hour.

Senior Applied Scientist, Network Fabric Engineering

Amazon

Seattle, WA

$104K - $142K/yr

Full-time

Posted 4 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,025 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

We are looking for an Applied Scientist to join our team and tackle some of the most challenging traffic engineering problems at planetary scale. You will develop novel optimization algorithms
and ML models that balance network utilization, resilience, cost efficiency, and latency - across traffic classes with fundamentally different characteristics. The problem then expands to network capacity planning, where you will collaborate with other scientists to develop the optimal strategy to efficiently scale the network.
Key job responsibilities
- Formulate traffic engineering problems as mathematical optimization models and develop scalable solvers that operate on graphs with hundreds of nodes and O(10^4) edges
- Design ML models for traffic demand prediction, anomaly detection, and workload classification
- Develop capacity planning frameworks that co-optimize cost, reliability, and performance over multi-year horizons
- Build simulation and evaluation frameworks to validate TE algorithms against realistic failure scenarios and traffic patterns
- Publish research at top venues (SIGCOMM, NSDI, INFOCOM, NeurIPS, ICML) and contribute to the scientific community
- Collaborate with network engineers, software engineers, and operations teams to bring algorithms from prototype to production at global scale
- Define metrics, run A/B experiments, and measure the real-world impact of algorithmic changes on network performance
About the team
The Inter Data Center (InterDC) Networking team owns traffic engineering across AWS's regions - the largest inter-datacenter network in the world, connecting hundreds of data centers
across dozens of regions

We design and implement the algorithms, optimization systems, and scientific frameworks that decide how exabytes of traffic traverse this network every day. Our work
sits at the intersection of combinatorial optimization, machine learning, distributed systems, and network engineering.

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About Amazon

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Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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