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Computational Engineering Internship Jobs in Seattle, WA

... interns in the areas of natural language processing, natural language generation, and deep learning ... engineers to solve and contribute to the innovative products we are building. You will be ...

... computational statistics, applied mathematics and security/privacy. Our interns have an opportunity ... Demonstrated software engineer experience via an internship, work experience, coding competitions ...

... computational statistics, applied mathematics and security/privacy. Our interns have an opportunity ... Demonstrated software engineer experience via an internship, work experience, coding competitions ...

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Computational Engineering Internship information

See Seattle, WA salary details

$12

$21

$33

How much do computational engineering internship jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for computational engineering internship in Seattle, WA is $21.98, according to ZipRecruiter salary data. Most workers in this role earn between $18.32 and $23.80 per hour, depending on experience, location, and employer.

What is a computational engineering internship?

A Computational Engineering Internship is a temporary position for students or recent graduates, where they apply their knowledge of computer science, mathematics, and engineering to solve real-world problems using computational methods. Interns typically work on projects involving simulation, modeling, data analysis, or software development in engineering fields. This role provides hands-on experience with industry tools and technologies, and helps interns develop practical skills in areas such as programming, numerical analysis, and algorithm design. Interns may also collaborate with experienced engineers and researchers, contributing to ongoing projects and gaining valuable insights into engineering workflows.

What types of projects does a computational engineering intern typically work on, and how do these projects contribute to their professional development?

Computational Engineering Interns often work on projects involving simulation, modeling, data analysis, or algorithm development to solve real engineering problems. These assignments may include optimizing engineering processes, validating simulation results, or supporting the development of new computational tools. Interns usually collaborate closely with experienced engineers, gaining exposure to industry software and best practices. This hands-on experience not only develops their technical abilities but also helps them build teamwork and communication skills essential for advancing in the field.

What are the key skills and qualifications needed to thrive as a computational engineering intern, and why are they important?

To thrive as a Computational Engineering Intern, you need a solid background in mathematics, programming (such as Python, MATLAB, or C++), and engineering principles, typically gained through relevant coursework or a degree in engineering, computer science, or a related field. Familiarity with simulation software, numerical analysis tools, and version control systems like Git is often expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate and contribute to complex engineering projects. These competencies are crucial for efficiently supporting engineering teams and delivering accurate computational analyses in a fast-paced environment.

What is the difference between Computational Engineering Internship vs Mechanical Engineering Internship?

AspectComputational Engineering InternshipMechanical Engineering Internship
Required CredentialsTypically pursuing or holding a degree in computational, software, or engineering disciplinesTypically pursuing or holding a degree in mechanical engineering or related fields
Work EnvironmentFocus on software development, simulations, and modeling in labs or office settingsHands-on hardware, design, and testing in labs, manufacturing, or field environments
Industry UsageUsed in aerospace, automotive, energy, and tech sectors for simulation and analysisCommon in manufacturing, automotive, aerospace, and product design industries

Computational Engineering Internships focus on software, modeling, and simulation tasks, often in tech-driven industries, while Mechanical Engineering Internships involve physical design, testing, and hardware work. Both roles require engineering backgrounds but differ in daily tasks and work environments.

What are the most commonly searched types of Computational Engineering jobs in Seattle, WA?

The most popular types of Computational Engineering jobs in Seattle, WA are:

MAC Automation & Analytics Engineer, Leo MAC

Amazon

Redmond, WA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,147 frontline employees who took The Breakroom Quiz

5th of 39 rated national retailers


Job description

Overview:
We are seeking an engineer to build and own the MAC Analyzer and MAC feature automation framework. This role sits at the intersection of automation, data analytics, and MAC domain expertise, with the goal of democratizing MAC-level diagnostics and ensuring robust automated validation of MAC features across releases.
Role Summary:
The MAC Analyzer will leverage computational analysis against SDN and telemetry databases to systematically examine contacts, identify problem areas, and surface actionable insights. The tool will enable anyone across teams to run MAC-level diagnostics without requiring deep domain expertise, delivering more consistent and thorough analysis than manual methods allow. Additionally, this role will own the MAC feature automation framework to ensure all MAC features are continuously validated across releases with minimal manual intervention.
Key Responsibilities:
MAC Analytics
Design and develop the MAC Analyzer tool with ML-based anomaly detection and predictive capabilities, encoding experienced MAC engineer diagnostic methodologies into automated workflows that interface with SDN and telemetry databases
Build self-improving analytical pipelines that automate triage, root cause analysis, and reporting from raw telemetry data, trained on historical contact data and engineer patterns
Create intuitive interfaces that make MAC diagnostics accessible to non-domain experts, continuously expanding coverage based on new failure modes and field observations
MAC Feature Automation
Design, develop, and maintain an automated test framework covering MAC features (QoS, scheduling, grant handling, multicast, traffic shaping) integrated into the payload test framework and release qualification loop
Automate scenario-based testing for complex MAC configurations (simplex DL/UL combinations, MCS edge cases, burst handling) with traffic generation tools that replicate field conditions in lab environments
Build regression suites with comprehensive test coverage metrics, collaborating with the release team to ensure seamless integration into the release testing pipeline
Qualifications:
Experience in software development with strong data analysis and test automation skills
Familiarity with database querying (SDN, telemetry, or similar systems)
Ability to translate complex engineering heuristics into algorithmic workflows
Experience building test frameworks and automation pipelines
Experience with machine learning frameworks and data processing at scale
Experience building tools or platforms used by cross-functional teams
Strong communication skills to work with domain experts and capture analytical approaches
Preferred:
Background in wireless/MAC layer systems or telecommunications
Experience with telemetry data pipelines and observability tooling
Familiarity with statistical analysis, anomaly detection, and time-series forecasting
Experience with release qualification processes and CI/CD integration
Export Control Requirement:
Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language
PREFERRED QUALIFICATIONS
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Redmond - 143,700.00 - 194,400.00 USD annually

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About Amazon

Sourced by ZipRecruiter

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, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US