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Computer Science Nasa Jobs in Seattle, WA (NOW HIRING)

FieldAI

Senior Machine Learning Engineer

Seattle, WA

$180K - $215K/yr

What You Have Bachelor's or Master's degree in Computer Science, AI, Statistics, or a related field ... We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA ...

Crane Company

IT Application Developer II

Lynnwood, WA · On-site

Our products are rugged enough to fly 5 billion miles from Earth on NASA's New Horizons spacecraft ... Bachelor's degree in computer science, Software Engineering, or a related field, or equivalent work ...

FieldAI

Senior Machine Learning Engineer

Seattle, WA · On-site

$180K - $215K/yr

What You Have Bachelor's or Master's degree in Computer Science, AI, Statistics, or a related field ... We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA ...

FieldAI

Senior Machine Learning Engineer

Seattle, WA

$180K - $215K/yr

What You Have Bachelor's or Master's degree in Computer Science, AI, Statistics, or a related field ... We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA ...

Blue Origin

Avionics Integration Engineer III

Seattle, WA · On-site

$130K - $182K/yr

You will work directly with NASA and our National Team Partners as part of the Human Landing System ... S. in Aerospace, Mechanical, Electrical, Chemical Engineering, Computer Science, or related ...

New

Crane Company

Test Engineer III

Lynnwood, WA

TheTestEngineer III also uses computer-assisted engineering and design software and equipment to ... of science and mathematics to develop economical solutions to technical problems. Essential ...

New

Crane Company

Electrical Engineer II

Lynnwood, WA

This role involves using computer-assisted engineering and design software and equipment to perform ... science and mathematics to develop innovative and economical solutions to technical challenges.

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Computer Science Nasa information

See Seattle, WA salary details

$64.3K

$94.6K

$111.5K

How much do computer science nasa jobs pay per year?

As of Aug 8, 2026, the average yearly pay for computer science nasa in Seattle, WA is $94,578.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,200.00 and $106,400.00 per year, depending on experience, location, and employer.

What types of projects do computer science professionals typically work on at NASA?

Computer Science professionals at NASA contribute to a wide array of projects, including the development of flight control software, satellite data analysis, artificial intelligence for spacecraft autonomy, and cybersecurity for mission-critical systems. Your work may involve collaborating with engineers, scientists, and astronauts to build robust, efficient solutions for real-time space operations or data-heavy scientific research. Projects can range from developing algorithms for Mars rover navigation to designing cloud-based infrastructure for Earth science data. These roles offer the opportunity to tackle unique technical challenges and often involve continual learning as you adapt to the evolving needs of space exploration missions.

What is a computer science job at NASA?

A Computer Science job at NASA involves developing software, algorithms, and data systems that support space exploration, robotics, artificial intelligence, and scientific research. Computer scientists at NASA work on projects like spacecraft autonomy, satellite imaging, cybersecurity, and big data analysis. They collaborate with engineers, scientists, and astronauts to solve complex computational problems that enable missions. These roles require strong programming skills, knowledge of machine learning, and expertise in areas like high-performance computing or simulations.

What are the key skills and qualifications needed to thrive in the computer science NASA position, and why are they important?

To thrive in a Computer Science position at NASA, you need a solid background in computer science, mathematics, and engineering, supported by at least a bachelor's degree in a related field. Familiarity with programming languages such as Python, C++, and MATLAB, as well as experience using high-performance computing systems, is essential, and security clearances or specialized certifications may also be required. Strong problem-solving abilities, teamwork, and clear communication are important soft skills for collaborating with interdisciplinary teams and managing complex projects. These skills and qualifications are critical for contributing to innovative research, ensuring mission success, and advancing cutting-edge technology at NASA.

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What job categories do people searching Computer Science Nasa jobs in Seattle, WA look for? The top searched job categories for Computer Science Nasa jobs in Seattle, WA are:
Computer Science Nasa jobs near you
Infographic showing various Computer Science Nasa job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution, with an average salary of $94,578 per year, or $45.5 per hour.

Senior Machine Learning Engineer

FieldAI

Seattle, WA

$180K - $215K/yr

Full-time

Re-posted 12 days ago

Job description

FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.
What You’ll Get To Do

Machine Learning modeling

  • Design, train, and deploy state-of-the-art machine learning models for end-to-end learning based navigation stack.
  • Work with deep learning architectures such as transformers, convolutional networks to capture complex decision making. 
  • Architect and implement full-stack end-to-end navigation solutions, covering perception, prediction, and planning.
  • Explore novel data generation and collection pipelines to enrich training datasets.

Model Deployment, Monitoring & Performance

  • Assist with deploying machine learning models into production environments
  • Continuously monitor models in production, detecting model drift, and automating retraining processes as applicable
  • Troubleshoot issues related to model deployment, performance, and system integration.
What You Have

Bachelor's or Master's degree in Computer Science, AI, Statistics, or a related field, with 4+ years of industry experience.

  • Proficiency in Python and modern ML frameworks such as PyTorch, TensorFlow, or JAX, alongside working knowledge of C++ for deployment and system integration.
  • Deep understanding of contemporary deep learning architectures, optimization, and evaluation, with a strong grasp of end-to-end navigation stack components — including perception, prediction, and path/motion planning.
  • Proven track record deploying ML models into production environments, ideally within robotics, self-driving, or NLP.
The Extras That Set You Apart
  • Publications in top tier ML or robotics conferences
Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.
 
Why Join FieldAI in Irvine?
In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.
You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments.
 
Be Part of the Next Robotics Revolution
We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world.
 
Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like.
 
We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.