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Scientific Computing Jobs in Seattle, WA (NOW HIRING)

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

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 ...

Senior HPC Cluster Engineer

Bothell, WA · On-site

$145K - $209K/yr

This role will be a great fit if you enjoy working alongside researchers and want your work to directly accelerate scientific computing. Responsibilities: * Design, deploy, and operate high ...

New

Strong foundation in machine learning, deep learning, and scientific computing, including experimentation, benchmarking, and model analysis Preferred Education and Experience * PhD * Research ...

Strong foundation in machine learning, deep learning, and scientific computing, including experimentation, benchmarking, and model analysis Preferred Education and Experience * PhD * Research ...

Staff Applied Scientist

Seattle, WA · On-site

$191K - $345K/yr

Strong proficiency in Python and scientific computing libraries (NumPy, pandas, etc.). * Solid SQL skills and experience working with modern data warehouses/lakehouses. * Hands-on experience ...

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Scientific Computing information

See Seattle, WA salary details

$15

$35

$59

How much do scientific computing jobs pay per hour?

As of Aug 2, 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:
Infographic showing various Scientific Computing job openings in Seattle, WA as of July 2026, with employment types broken down into 79% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution, with an average salary of $74,509 per year, or $35.8 per hour.

Technical Community Program Manager - AI & Scientific Computing

Team Red Dog

Redmond, WA • On-site, Remote

$144K - $187K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Job description

Opportunity Overview:

Team Red Dog is hiring a Technical Community Program Manager – AI & Scientific Computing for our client, a next-generation cloud platform company and AI-driven technology organization. In this highly visible remote role, you'll help build and scale technical communities by managing GitHub repositories, curating scientific AI assets, supporting customer and partner onboarding, and creating technical enablement content that accelerates adoption of cutting-edge AI technologies. This opportunity combines technical program management, developer advocacy, GitHub administration, scientific computing, AI/LLM technologies, and customer engagement while working directly with emerging AI platforms that are shaping the future of scientific discovery. If you're passionate about open-source communities, technical enablement, and helping developers succeed with innovative AI solutions, this role offers the opportunity to make a measurable impact at enterprise scale.

Top Required Skills (Must Haves):

  1. GitHub Repository Management & AI Technologies – Experience maintaining GitHub repositories, managing repository assets, governance, contribution workflows, and documentation, with familiarity in AI/LLM technologies, APIs, MCP, and machine learning concepts.
  2. Scientific Computing & Software Engineering – Experience applying software engineering practices to scientific applications, computational science, simulations, or research environments while building reusable technical assets and workflows.
  3. Technical Program Management & Customer Enablement – Experience coordinating technical projects, supporting partner onboarding, troubleshooting integrations, managing cross-functional collaboration, and driving operational execution.
  1. Technical Content Creation & Developer Advocacy – Ability to create blogs, tutorials, videos, onboarding guides, documentation, workshops, and customer-facing learning materials that simplify complex technical concepts.

How you will make an impact:

  • Manage and maintain customer-facing GitHub repositories, ensuring repository assets remain organized, current, and easy to navigate.
  • Support community contribution workflows, repository governance, documentation, and operational processes.
  • Curate scientific workflows, AI agents, reusable sample packages, starter kits, and technical assets for community adoption.
  • Develop blogs, tutorials, videos, onboarding guides, documentation, workshops, and other customer-facing technical content.
  • Support technical onboarding for customers and partners by assisting with environment configuration, repository contributions, integration setup, and deployment validation.
  • Troubleshoot onboarding challenges and coordinate technical issues with engineering teams and subject matter experts.
  • Track customer feedback, community engagement, adoption metrics, and recurring support trends to recommend continuous improvements.
  • Produce operational reports and contribute to initiatives that improve community growth, contribution readiness, and customer success.
  • Participate in weekly delivery reviews, monthly business reviews, and strategic planning sessions with internal stakeholders.

The expertise you bring:

  • 1–2+ years of experience managing GitHub repositories, repository governance, or developer community assets.
  • Experience working with AI/LLM technologies, APIs, MCP concepts, and machine learning fundamentals.
  • Experience applying software engineering practices within scientific computing, computational science, research, or simulation environments.
  • Experience supporting technical program management, customer onboarding, or technical coordination initiatives.
  • Strong technical writing skills with experience creating documentation, tutorials, blogs, videos, and customer learning materials.
  • Ability to communicate complex technical concepts to both technical and non-technical audiences.
  • Experience troubleshooting technical issues and coordinating cross-functional resolutions.
  • Familiarity with version control, open-source collaboration, and developer workflows.
  • Strong organizational skills with the ability to manage multiple priorities in a fast-paced environment.
  • GitHub portfolio demonstrating technical work, community contributions, or software projects.

What makes a candidate highly successful in this role:

Successful candidates combine strong GitHub administration skills with hands-on technical experience in scientific computing or AI-driven software development. They enjoy building technical communities, creating high-quality developer content, and helping customers successfully adopt emerging technologies through technical onboarding and enablement. Individuals who can quickly troubleshoot issues, communicate clearly across technical and business audiences, and continuously identify opportunities to improve community engagement and operational efficiency will thrive in this role.

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
• Accrued Paid Time Off
• Flexible Paid Holiday Benefit

Estimated Start Date:
Immediately

Location:
Remote (U.S.) – West Coast candidates preferred

Job #2575

Job Type and Estimated Duration:
W2 contract opportunity through February 29, 2027, with the potential for up to 18 month contract duration, subject to performance, budget, and client discretion.

Rate:
$37–$40/hour

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.