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Internship Numerical Methods Jobs in Seattle, WA

Aetherflux

Senior Spacecraft Analysis Engineer

Seattle, WA · On-site

$115K - $145K/yr

... internships and relevant projects count) * Bachelor's degree in Aerospace Engineering, Mechanical ... Strong fundamentals in physics-based modeling, numerical methods, and engineering principles

Amazon

Applied Scientist, TSI - Science

Seattle, WA · On-site

You will work closely with Amazon scientists, and other science interns to develop solutions and ... Our scientists use our working backwards method to enrich the way we live and work. For more ...

City of Kenmore

Communications Specialist

Kenmore, WA · On-site

$8.1K - $10K/mo

Because of the small number of City employees, each staff member is expected to perform a wide ... Methods of legislative policy analysis and contract preparation and administration. * Project ...

Sonaca

Assembly Intern

Auburn, WA · On-site

$20 - $21/hr

Pay Range - $20 - $21 per hour - DOE POSITION SUMMARY We are currently seeking Assembly Interns ... Interpret document/instruction (above) to determine sequence and methods to assemble and repair ...

Sonaca

Assembly Intern

Auburn, WA

$21/hr

Pay Range - $20 - $21 per hour - DOE POSITION SUMMARY We are currently seeking Assembly Interns ... Interpret document/instruction (above) to determine sequence and methods to assemble and repair ...

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All JobsNumerical Methods JobsInternship Numerical Methods JobsInternship Numerical Methods Jobs in Seattle, WA

Internship Numerical Methods information

See Seattle, WA salary details

$12

$19

$32

How much do internship numerical methods jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for internship numerical methods in Seattle, WA is $19.99, according to ZipRecruiter salary data. Most workers in this role earn between $16.39 and $21.35 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an intern in Numerical Methods, and why are they important?

To thrive as an intern in Numerical Methods, you need a solid understanding of mathematics, computational modeling, and problem-solving, typically supported by coursework in applied mathematics, engineering, or computer science. Familiarity with programming languages like Python or MATLAB and exposure to numerical analysis software are often expected. Strong analytical thinking, attention to detail, and effective communication help interns interpret results and collaborate with team members. These skills are crucial for accurately solving complex numerical problems and contributing to research or engineering projects.

What is the difference between Internship Numerical Methods vs Data Analyst?

AspectInternship Numerical MethodsData Analyst
Required CredentialsBasic knowledge of mathematics, programming, and numerical algorithmsBachelor's degree in statistics, mathematics, or related field
Work EnvironmentInternship setting, often in research or technical teamsOffice environment, working with data sets and reporting tools
Employer & Industry UsageResearch institutions, engineering firms, tech companiesBusiness, finance, healthcare, marketing sectors
Search & Comparison IntentUnderstanding entry-level roles in numerical computationExploring data analysis careers and skills

Internship Numerical Methods focuses on applying mathematical and computational techniques to solve problems, often in research or technical settings. Data Analyst roles involve interpreting data, creating reports, and supporting decision-making in various industries. While both require analytical skills, internships emphasize learning and applying numerical algorithms, whereas data analysts focus on data interpretation and visualization.

What are internship numerical methods?

Internship numerical methods refer to internships focused on applying mathematical techniques and algorithms to solve real-world problems using numerical computations. These internships typically involve working with numerical analysis, modeling, simulation, and programming to analyze data or solve engineering and scientific problems. Interns may use tools like MATLAB, Python, or specialized software to implement and test numerical algorithms under the guidance of professionals. Such internships are valuable for students in mathematics, engineering, physics, or computer science, offering practical experience in computational problem-solving.

What types of projects can an intern expect to work on during a Numerical Methods internship?

As a Numerical Methods intern, you can expect to work on projects involving the development, implementation, and testing of algorithms for solving mathematical problems—such as differential equations, optimization, or data analysis tasks. You may collaborate with engineers or researchers to improve computational models, validate results, or optimize code for efficiency. These projects often require a mix of programming (commonly in Python, MATLAB, or C++), mathematical analysis, and teamwork. This hands-on experience is valuable for building problem-solving skills and gaining exposure to real-world applications of numerical techniques.
What are popular job titles related to Internship Numerical Methods jobs in Seattle, WA? For Internship Numerical Methods jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Internship Numerical Methods jobs in Seattle, WA look for? The top searched job categories for Internship Numerical Methods jobs in Seattle, WA are:
Internship Numerical Methods jobs near you

Senior Spacecraft Analysis Engineer

Aetherflux

Seattle, WA • On-site

$115K - $145K/yr

Full-time

Dental, Vision, Retirement, PTO

Re-posted 20 days ago

Job description

Senior Spacecraft Analysis Engineer
About Cowboy Space Corp.
Cowboy Space Corp. is building the infrastructure to power and connect the orbital economy. Our satellites operate in Low Earth Orbit to collect sunlight and enable a new class of capabilities-from transmitting energy via infrared lasers (space-to-earth and space-to-space), to powering on-orbit compute, to delivering secure, high-bandwidth optical data. By rethinking how energy and data are generated and distributed in space, we're unlocking entirely new ways to operate both in orbit and on Earth.
Founded in 2024 by Baiju Bhatt (co-founder of Robinhood), Cowboy Space Corp. is backed by leading investors and built by a team from top aerospace and defense organizations. We're moving quickly to solve complex technical challenges and build a new category of space infrastructure.
The Role
We are looking for a Spacecraft Systems Analysis Engineer to drive high-impact modeling, simulation, and performance analysis across our satellite platform. This is a multidisciplinary role where you will inform key design decisions across spacecraft subsystems through rigorous analysis and system-level thinking.
You will bring deep expertise in one or more domains-such as structural, loads, and dynamics, thermal, radiation, reliability, power, MMOD (micrometeoroid and orbital debris), fluids, or optical/brightness analysis-while operating with a strong understanding of how these systems interact at the spacecraft level.
This is a high-growth role with the opportunity to take ownership of critical analyses and directly influence at the spacecraft level.
Responsibilities
  • Perform system-level modeling and simulation to evaluate spacecraft performance across multiple subsystems
  • Develop and own analysis in one or more domains: structural, thermal, radiation, reliability, power, MMOD, fluids, or optical/brightness
  • Conduct trade studies and sensitivity analyses to inform design decisions and optimize system performance, mass, and reliability
  • Collaborate cross-functionally with mechanical, electrical, GNC, and software teams to guide design and integration decisions
  • Define and maintain analysis-driven requirements, margins, and verification strategies
  • Interpret simulation results and translate findings into actionable engineering insights
  • Support test planning and model correlation, ensuring alignment between analysis and hardware performance
  • Develop and maintain technical documentation, including models, assumptions, and analysis reports
  • Support environmental qualification and on-orbit performance predictions, including thermal, radiation, and debris environments
  • Participate in design reviews (PDR, CDR), providing analytical rigor and recommendations at the system level

Basic Qualifications
  • 3+ years of experience in engineering analysis (internships and relevant projects count)
  • Bachelor's degree in Aerospace Engineering, Mechanical Engineering, Physics, or a related field
  • Experience or academic exposure to at least one analysis domain:
    • Structural
    • Loads and Dynamics
    • Thermal
    • Fluids
    • Radiation
    • Reliability
    • Power
    • MMOD
    • Demise
    • Optical / brightness
  • Familiarity with engineering simulation tools (e.g., FEA, thermal modeling, MATLAB/Python-based analysis)
  • Strong fundamentals in physics-based modeling, numerical methods, and engineering principles
  • Ability to interpret data and translate analysis results into actionable engineering insights
  • Eagerness to learn and operate in a fast-paced, ambiguous environment

Preferred Qualifications
  • Hands-on experience applying analysis to real-world hardware or aerospace systems (internship, academic project, or industry)
  • Experience with industry-standard tools (e.g., ANSYS, NASTRAN, Thermal Desktop, COMSOL, MATLAB/Simulink, Python)
  • Experience performing multidisciplinary trade studies and system-level optimization
  • Familiarity with space environment effects, including radiation, thermal cycling, and orbital debris (MMOD)
  • Experience with test correlation, validating models against hardware or experimental data
  • Exposure to power systems, thermal management, or structural dynamics in aerospace applications
  • Experience working on high-reliability or safety-critical systems with strong validation practices
  • Experience designing or maintaining analysis workflows integrated with CI/CD or automated pipelines
  • Demonstrated ownership of complex analytical problems, from assumptions through model validation
  • Prior experience at a space, aerospace, or deep tech organization
  • Strong interest in space systems, energy infrastructure, and mission-driven engineering challenges

Compensation and Benefits
The salary range for this position is $115,000 - $145,000 annually. The actual base salary offered will depend on factors such as job-related skills, experience, qualifications, and internal equity.
  • Equity in Cowboy Space Corp.
  • Employees and their eligible dependents may enroll in medical, dental, and vision insurance
  • 401(k) retirement savings plan
  • Paid time off
  • 10 paid holidays per calendar year
  • Paid leave for new parents
  • Relocation assistance
  • Daily lunch in the office and a fully stocked kitchen with beverages and snacks

Disclaimer
This job description is a summary of the primary duties and responsibilities of the job and position. It is not intended to be a comprehensive or all-inclusive listing of duties and responsibilities. Contents are subject to change at Cowboy Space Corp's discretion.
Export Control Requirement: To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), applicants must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
Cowboy Space Corp. is an equal employment opportunity employer. We consider individuals for employment or promotion according to their skills, abilities and experience. Cowboy Space Corp. is committed to complying with all applicable laws prohibiting discrimination based on race, color, religious creed, age, national origin, ancestry, physical, mental or developmental disability, sex (which includes pregnancy, childbirth, breastfeeding and medical conditions relating to pregnancy, childbirth or breastfeeding), veteran status, military status, marital or registered domestic partnership status, medical condition (including cancer or genetic characteristics), genetic information, gender, gender identity, gender expression, sexual orientation, as well as any other category protected by federal, state or local laws.

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