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Scientific Computing Jobs in Seattle, WA (NOW HIRING)

Team Red Dog

Scientific Software Engineer

Redmond, WA · On-site

You'll apply modern software engineering practices to scientific computing, machine learning, and simulation-based workflows while working with cutting-edge AI and LLM technologies. This position ...

Aquent

Software Development Engineer 1

Redmond, WA · On-site +1

$39 - $44/hr

Our mission is to empower scientific and data-science-focused customers by providing cutting-edge software development, machine learning, and scientific computing capabilities. We are passionate ...

Microsoft

Principal Quantum System Architect

Redmond, WA · On-site

... scientific computing applications, or multi-component systems * OR Master's degree in Computer Science, Mathematics, Physics, Physical Sciences, Computer Engineering, Software Engineering, or related ...

Microsoft

Quantum Software Engineer II

Redmond, WA · On-site

$109K - $149K/yr

At Microsoft Quantum, we aim to empower science and scientists to solve the world's biggest problems by realizing advanced computing platforms at the intersection of high-performance computing ...

Blue Origin, LLC

Software Engineer III

Seattle, WA · On-site

$150K - $211K/yr

As a Software Engineer in the Scientific Computing team, you will build the computational solvers and infrastructure that enable our engineers to push the boundaries of rocket engine design and ...

Blue Origin

Software Engineer III

Seattle, WA · On-site

$150K - $211K/yr

As a Software Engineer in the Scientific Computing team, you will build the computational solvers and infrastructure that enable our engineers to push the boundaries of rocket engine design and ...

Zap Energy

Senior/Principal Scientist (Theory)

Everett, WA · On-site

$130K - $160K/yr

Strong knowledge of scientific computing and algorithms (CFD, MHD, continuum kinetic modeling, PIC, etc. * Proven ability to communicate complex ideas clearly and effectively Preferred: * Experience ...

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Scientific Computing information

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How much do scientific computing jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for scientific computing in Seattle, WA is $35.82, according to ZipRecruiter salary data. Most workers in this role earn between $21.88 and $45.67 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of someone working in Scientific Computing?

Professionals in Scientific Computing typically spend their days developing and optimizing computational models, writing code to analyze large datasets, and running simulations on high-performance computing systems. They often collaborate closely with scientists, researchers, or engineers to interpret results and improve methodologies. Depending on the industry, they may also be responsible for documenting workflows, troubleshooting complex issues, and staying current with technological advances in their field. Daily work often involves problem-solving, technical meetings, and the continuous improvement of algorithms and computational processes.

What are the key skills and qualifications needed to thrive in the Scientific Computing position, and why are they important?

To thrive in Scientific Computing, you need a strong background in mathematics, computer science, and scientific principles, often supported by a relevant degree such as physics, engineering, or computational science. Proficiency with programming languages like Python, C++, or MATLAB, experience with high-performance computing (HPC) systems, and familiarity with scientific software and libraries are typically essential. Excellent problem-solving abilities, teamwork, and clear communication skills are important soft skills for this role. These skills enable professionals to develop efficient computational solutions, collaborate effectively across multidisciplinary teams, and drive progress in research and innovation.

What is a Scientific Computing job?

A Scientific Computing job involves using advanced computational methods, algorithms, and mathematical modeling to solve complex scientific and engineering problems. Professionals in this field develop and optimize software, perform simulations, and analyze large datasets to support research in disciplines like physics, biology, and engineering. They often work with high-performance computing (HPC) systems and programming languages such as Python, C++, or Fortran. These roles are commonly found in academia, government research labs, and industries like aerospace, pharmaceuticals, and finance.

What are the most commonly searched types of Scientific Computing jobs in Seattle, WA? The most popular types of Scientific Computing jobs in Seattle, WA are:
What are popular job titles related to Scientific Computing jobs in Seattle, WA? For Scientific Computing jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Scientific Computing jobs in Seattle, WA look for? The top searched job categories for Scientific Computing jobs in Seattle, WA are:
Scientific Computing jobs near you
Scientific Software Engineer

Scientific Software Engineer

Team Red Dog

Redmond, WA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Job description

Team Red Dog is hiring a Scientific Software Engineer for our client, a Fortune 50 technology leader and AI-driven technology organization. In this role, you'll develop customer-facing software, maintain GitHub repositories, and build reusable AI agents and community assets that support scientists and data scientists solving complex research challenges. You'll apply modern software engineering practices to scientific computing, machine learning, and simulation-based workflows while working with cutting-edge AI and LLM technologies. This position offers the opportunity to contribute to impactful research initiatives while helping establish best practices for AI-powered scientific software development.
Top Required Skills (Must Haves):
  1. GitHub & Version Control (1-2+ years): Experience maintaining GitHub repositories, managing customer-facing codebases, collaborating through version control, and publishing reusable software assets.
  2. AI, LLMs & Agentic AI (1-2+ years): Working knowledge of large language models, AI agents, APIs, MCP, and machine learning concepts used to develop intelligent software solutions.
  3. Scientific Software Development (1-2+ years): Experience applying software engineering practices to scientific computing, computational science, simulation, or research-based applications.
  4. Programming & Software Engineering: Strong coding skills with the ability to write maintainable, reusable code while supporting technical customers and collaborating with multidisciplinary engineering teams.

Opportunity Overview:
This team enables scientists and data scientists by developing software that accelerates research, experimentation, and AI-driven discovery. You'll own customer-facing GitHub repositories, write production-quality code, and create reusable software components that improve scientific workflows across machine learning, simulation, and computational science projects. If you enjoy solving challenging technical problems while working at the intersection of software engineering, AI, and scientific research, this role provides exceptional exposure to emerging technologies and real-world innovation.
How you will make an impact:
  • Develop, maintain, and own customer-facing GitHub repositories.
  • Write high-quality, reusable software that supports scientific and data science customers.
  • Build repeatable AI agents and publish reusable community assets that establish engineering best practices.
  • Collaborate with product teams to onboard and support customers.
  • Apply software engineering principles to scientific computing and computational research problems.
  • Support machine learning, AI, and simulation-related initiatives.
  • Troubleshoot software issues and implement technical improvements.
  • Contribute to coding standards, version control, and collaborative software development practices.

The expertise you bring:
  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
  • 1-2+ years of experience using GitHub and modern version control practices.
  • 1-2+ years of experience working with AI, LLMs, APIs, MCP, or machine learning technologies.
  • 1-2+ years of experience applying software engineering practices within scientific computing, computational science, simulation, or related technical domains.
  • Strong programming and software development skills.
  • Experience troubleshooting technical issues and improving software quality.
  • Excellent verbal and written communication skills.
  • Ability to collaborate effectively with engineers, researchers, and technical customers.
  • GitHub portfolio demonstrating previous software development work.

What makes a candidate highly successful in this role:
Candidates who stand out have hands-on experience applying software engineering skills to scientific or research-focused environments rather than solely traditional application development. They demonstrate strong GitHub practices, understand modern AI and agentic AI technologies, and have experience building reusable software that supports machine learning, computational science, or simulation workflows. A portfolio of open-source contributions or customer-facing GitHub repositories, combined with curiosity for emerging AI technologies, will set candidates apart.
Why Work with Team Red Dog?
At Team Red Dog, people are at the heart of everything we do. Our commitment to personalized service and our deep experience in matching talented professionals with meaningful roles at some of the world's most inspiring companies is what sets us apart. We take the time to understand your unique skills, strengths, and passions-because we believe your career should reflect who you are.
Whether you're looking to grow, pivot, or simply find a place where your work truly matters, we offer opportunities that empower you to make a positive impact. With excellent benefits, a supportive team, and a role where you can thrive while doing what you love, we're here to help you take the next step with confidence. Join us-and discover what it means to be genuinely valued in your career.
Generous benefits package for qualified employees includes:
  • Health insurance (medical, dental, vision, and life)
  • Employer-matched 401K plan
  • Paid time off
  • Paid holidays

Estimated Start Date: Immediately
Location: Fully Remote (U.S.); West Coast preferred with flexibility to support PST, EST, or European collaboration.
Job #: 2554
Job Type and Estimated Duration: W2 contract opportunity through 12/31/2026 with potential for extension up to 18 months subject to performance, budget and client discretion.
Rate: $7,200/month
Team Red Dog is committed to providing equal opportunities to everyone, regardless of race, ethnicity, gender, age, religion, sexual orientation, disability, or any other characteristic. If you need accommodation during the recruitment process, reach out to hr@teamreddog.com, and we will work to ensure an accessible experience. We strictly adhere to federal, state, and local laws to maintain a workplace free from discrimination and harassment.
We offer competitive compensation aligned with U.S. industry standards, and our final offer will reflect the candidate's location, job-specific skills, experience, and knowledge.
  • All applicants must be authorized to work in the U.S. without the need for sponsorship.
  • Team Red Dog is an E-Verify employer.
  • Employment is contingent upon the successful completion of a reference and background check.
  • Please no solicitations from C2C or recruiting firms.

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