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Computer Science Nasa Jobs in Massachusetts (NOW HIRING)

Senior SLS Materials Scientist

Somerville, MA ยท On-site

$115K - $142K/yr

... and NASA. Together, we're helping everyone design, prototype, and manufacture faster than ever ... S., M.S., or PhD in a relevant science or engineering field (all are welcome) Bonus skills:

Senior SLS Materials Scientist

Boston, MA ยท On-site

$115 - $142/hr

... and NASA. Together, we're helping everyone design, prototype, and manufacture faster than ever ... S., or PhD in a relevant science or engineering field (all are welcome)**Bonus skills:

Senior SLS Materials Scientist

Boston, MA ยท On-site

$115K - $142K/yr

... and NASA. Together, we're helping everyone design, prototype, and manufacture faster than ever ... S., M.S., or PhD in a relevant science or engineering field (all are welcome) Bonus skills:

Senior Component Engineer

Boston, MA ยท On-site

$122K - $184K/yr

Degree in electrical engineering or computer science * Familiar with industry-standard component qualification process (AEC-Q, NASA, JEDEC, MIL, etc) * Knowledge of electrical component manufacturing ...

Senior Component Engineer

Boston, MA ยท On-site

$122K - $184K/yr

Degree in electrical engineering or computer science * Familiar with industry-standard component qualification process (AEC-Q, NASA, JEDEC, MIL, etc) * Knowledge of electrical component manufacturing ...

... and NASA. Together, we're helping everyone design, prototype, and manufacture faster than ever ... Excited to study computer science journal articles to supplement algorithm development* Experience ...

... and NASA. Together, we're helping everyone design, prototype, and manufacture faster than ever ... Mechanical, electrical, computer science * Willingness and ability to travel internationally ...

... and NASA. Together, we're helping everyone design, prototype, and manufacture faster than ever ... Computer Science background or coding experience. * Experience with Qt, QML, or OpenGL. Our ...

Startup Founder

Somerville, MA ยท On-site

$250K/yr

... and NASA. Together, we're helping everyone design, prototype, and manufacture faster than ever ... Bonus Skills: * Robotics, Mechanical Engineering, Computer Science Degree, or related

Startup Founder

Somerville, MA ยท On-site

$250K/yr

... and NASA. Together, we're helping everyone design, prototype, and manufacture faster than ever ... Bonus Skills: * Robotics, Mechanical Engineering, Computer Science Degree, or related

Degree in electrical engineering or computer science * Familiar with industry-standard component qualification process (AEC-Q, NASA, JEDEC, MIL, etc) * Knowledge of electrical component manufacturing ...

Showing results 41-60

Computer Science Nasa information

See Massachusetts salary details

$61.7K

$90.8K

$107K

How much do computer science nasa jobs pay per year?

As of Aug 22, 2026, the average yearly pay for computer science nasa in Massachusetts is $90,765.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,600.00 and $102,100.00 per year, depending on experience, location, and employer.

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 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 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.

What are the most commonly searched types of Computer Science Nasa jobs in Massachusetts?

The most popular types of Computer Science Nasa jobs in Massachusetts are:

Infographic showing various Computer Science Nasa job openings in Massachusetts as of August 2026, with employment types broken down into 85% Full Time, and 15% Part Time. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $90,765 per year, or $43.6 per hour.

Senior Engineering Manager, Robotics and Humanoid Research

FieldAI

Boston, MA โ€ข On-site

$70K - $300K/yr

Full-time

Re-posted 21 days ago


Job description

FieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use.

We are seeking an accomplished Senior Engineering Manager to lead a lean, high-performing team of research scientists and engineers working at the forefront of robotics AI. In this role, you will define and drive research strategy, oversee the development of advanced AI algorithms, and guide programs from early research through real-world deployment on physical robotic systems. You will balance deep technical leadership with people management, ensuring both scientific excellence and real-world impact.
 
This is an opportunity to shape the future of robotic autonomy by translating cutting-edge research into systems that operate reliably in complex, dynamic environments on real robots.
What You Will Get To Do
  • Set Research Vision and Strategy
  • Define and execute the robotics AI research roadmap in alignment with FieldAI’s mission and product goals.
  • Identify emerging research directions, tools, and techniques across robotics, embodied AI, and machine learning.
  • Establish clear technical goals, milestones, and success metrics tied to real-world robot performance.
  • Lead and Grow Research Teams
  • Recruit, mentor, and manage a multidisciplinary team of research scientists and engineers.
  • Provide hands-on technical leadership through design reviews, experiment reviews, and close collaboration on challenging problems.
  • Own performance management, professional development, and career progression within the team.
  • Drive End-to-End Research and Deployment
  • Lead projects from problem definition through algorithm design, simulation, on-robot testing, and field deployment.
  • Ensure research outputs translate into robust, scalable, and safe systems on physical robots.
  • Champion experimental rigor, including benchmarking, ablations, reproducibility, and failure analysis.
  • Partner Across the Organization
  • Collaborate closely with product, engineering, and operations teams to integrate research into production systems.
  • Communicate technical progress, risks, and tradeoffs clearly to cross-functional stakeholders and leadership.
  • Represent Field AI externally through publications, conferences, collaborations, and recruiting.
  • Ensure Operational Excellence
  • Build and maintain processes for experiment management, evaluation, and reproducibility.
  • Manage resources, timelines, and priorities to deliver high-quality results efficiently.
  • Foster a culture of technical excellence, ownership, and rapid iteration.
What You Have
  • PhD in Computer Science, Robotics, Artificial Intelligence, or a related field, or equivalent practical experience, with a strong background in applied research.
  • 8+ years of experience delivering impactful research in robotics AI, machine learning, or closely related domains.
  • 4+ years of leadership experience managing research and engineering teams, including hiring, mentorship, performance management, and career development.
  • Proven ability to lead multiple complex projects in parallel, from early research through real-world validation.
  • Direct, hands-on experience developing, testing, and deploying AI models on humanoid and/or quadruped robots.
The Extras That Set You Apart
  • Experience with large-scale field robotics deployments.
  • Deep expertise in one or more areas such as robotics reinforcement learning, manipulation, perception, planning, or multi-robot systems.
  • Demonstrated success with sim-to-real transfer on legged or humanoid platforms.
  • Experience deploying AI on embedded or edge systems in resource-constrained environments.
  • Publications or impactful open-source contributions in robotics or embodied AI.
Why Join Field AI?
FieldAI is tackling one of robotics’ hardest problems: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ advance perception, planning, localization, and manipulation with an emphasis on explainability and safety, so our systems can be trusted where it matters most.

You will work alongside a world-class team that values creativity, resilience, and bold thinking. We bring a decade-long track record of real-world deployments, strong performance in DARPA challenges, and experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX.

Our R&D organization is growing and anchored in Boston, with close collaboration across our teams in Southern California and with colleagues around the US and globally.

Be Part of the Next Robotics Revolution
Solving problems at this scale takes a team as unique as the mission. We are looking for people who push beyond conventional approaches, enjoy tackling tough and ambiguous questions, and bring interdisciplinary perspective. Our success depends on exceptional AI researchers and engineers, as well as strong software developers, product designers, field deployment experts, and communicators who can turn breakthroughs into real capability.
We are headquartered in Mission Viejo (Irvine adjacent), Southern California, with teammates across the US and around the world. Join us to shape the future of embodied intelligence as part of a fun, close-knit team building systems that work in the real world.

Equal Opportunity
FieldAI celebrates diversity and is committed to creating an inclusive environment for all employees. Candidates and employees are evaluated based on merit, qualifications, and performance. We do not discriminate on the basis of race, color, religion, sex, 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.