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Nasa Robotics Jobs (NOW HIRING)

FieldAI

Robotics QA / QC Engineer

Irvine, CA

$30 - $45/hr

We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA ... Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave ...

FieldAI

Robotics QA / QC Engineer

Irvine, CA · On-site

$30 - $45/hr

We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA ... Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave ...

FieldAI

Robotics QA / QC Engineer

Irvine, CA · On-site

$30 - $45/hr

We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA ... Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave ...

Blue Origin

Electro - Mechanical Technician II

Longmont, CO

$24.50 - $31.25/hr

... robotics for over 40 years. Our Colorado location specializes in creating advanced motion control solutions for NASA, defense, and commercial programs. Our work has played a critical role in ...

Blue Origin

Electro - Mechanical Technician II

Longmont, CO · On-site

$24.50 - $31.25/hr

... robotics for over 40 years. Our Colorado location specializes in creating advanced motion control solutions for NASA, defense, and commercial programs. Our work has played a critical role in ...

Lunar Outpost

Senior Core Software Engineer

Arvada, CO

$125K - $165K/yr

... NASA core flight system (cFS) services and application development for mission-critical space robotics. They will lead cFS development efforts and mentor engineers on cFS best practices, ensuring the ...

Lunar Outpost

Senior Core Software Engineer

Arvada, CO · On-site

$125K - $165K/yr

... NASA core flight system (cFS) services and application development for mission-critical space robotics. They will lead cFS development efforts and mentor engineers on cFS best practices, ensuring the ...

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Nasa Robotics information

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How much do nasa robotics jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for nasa robotics in the United States is $21.09, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $23.80 per hour, depending on experience, location, and employer.

What's the highest paying job at NASA?

The highest paying jobs at NASA are typically senior executive roles such as NASA Administrator or Associate Administrator, which can have salaries exceeding $180,000 annually. These positions require extensive experience, leadership skills, and often a background in science, engineering, or management.

What are NASA robotics engineers?

NASA robotics engineers are professionals who design, build, test, and operate robotic systems used in space exploration and related missions. These engineers work on technologies such as robotic arms for spacecraft, autonomous rovers for planetary exploration, and robotic systems for maintenance and repairs. Their work enables NASA to explore environments that are too dangerous or inaccessible for humans, like Mars or the Moon. Robotics engineers at NASA collaborate with scientists and other engineers to develop innovative solutions that advance space technology.

What are the key skills and qualifications needed to thrive as a NASA Robotics Engineer, and why are they important?

To thrive as a NASA Robotics Engineer, you need a strong background in robotics, mechanical/electrical engineering, and programming, typically supported by a relevant engineering degree. Experience with tools like MATLAB, ROS (Robot Operating System), CAD software, and familiarity with embedded systems or space-rated hardware is often required. Exceptional problem-solving, teamwork, and communication skills set you apart when working on complex, multidisciplinary projects. These skills and qualities are vital to ensure the development of reliable robotic systems that can perform critical tasks in challenging space environments.

What is the difference between Nasa Robotics vs Nasa Mechanical Engineering?

AspectNasa RoboticsNasa Mechanical Engineering
Required CredentialsBachelor's or higher in Robotics, Mechanical, or Electrical Engineering; experience with robotics systemsBachelor's or higher in Mechanical Engineering; focus on design, analysis, and manufacturing
Work EnvironmentResearch labs, field testing, space mission sitesDesign offices, labs, manufacturing facilities
Industry UsageRobotics systems for space exploration, automationMechanical systems for spacecraft, equipment, and infrastructure
Common Search/ComparisonYesYes

While both Nasa Robotics and Nasa Mechanical Engineering roles require engineering degrees, Nasa Robotics focuses on designing and developing robotic systems for space missions, whereas Nasa Mechanical Engineering emphasizes mechanical design and analysis of spacecraft components. Both roles often collaborate but serve distinct functions within NASA's projects.

How much do NASA robotic engineers make?

NASA robotic engineers typically earn between $70,000 and $120,000 annually, depending on experience, education, and location. They often require specialized skills in robotics, programming, and engineering, and may work in a highly technical environment with security clearances. Salaries can vary based on federal pay scales and seniority levels.

What are some typical challenges faced by professionals working in NASA Robotics, and how are they addressed by teams?

Professionals in NASA Robotics often face challenges such as designing systems for extreme environments, ensuring reliability with limited opportunities for maintenance, and integrating multidisciplinary technologies. Teams typically address these by fostering close collaboration between mechanical, electrical, and software engineers, conducting extensive simulations and testing, and utilizing iterative prototyping. Open communication and regular cross-functional meetings are essential to quickly identify and resolve integration issues, ensuring mission success and safety.

Is it hard to get hired at NASA?

Getting hired as a NASA robotics engineer is competitive and requires a strong background in engineering, computer science, or related fields, along with relevant experience and skills in robotics, programming, and problem-solving. Candidates often need a bachelor's degree at minimum, with many roles requiring advanced degrees and security clearances. The hiring process involves rigorous evaluations, interviews, and demonstrating technical expertise.

Can I work at NASA being a programmer?

Yes, NASA employs programmers in roles such as software engineers and systems developers who work on mission-critical applications, robotics, and data analysis. These positions typically require a strong background in computer science, programming languages like C++ or Python, and often a bachelor's or higher degree in a related field. Security clearances and experience with embedded systems or robotics may also be necessary.
More about Nasa Robotics jobs
What cities are hiring for Nasa Robotics jobs? Cities with the most Nasa Robotics job openings:
What states have the most Nasa Robotics jobs? States with the most job openings for Nasa Robotics jobs include:
What job categories do people searching Nasa Robotics jobs look for? The top searched job categories for Nasa Robotics jobs are:
Nasa Robotics jobs near you
Infographic showing various Nasa Robotics job openings in the United States as of July 2026, with employment types broken down into 50% Full Time, and 50% Summer. Highlights an 100% In-person job distribution, with an average salary of $43,864 per year, or $21.1 per hour.

Senior Engineering Manager, Robotics and Humanoid Research

FieldAI

Boston, MA • On-site

$70K - $300K/yr

Full-time

Posted 3 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.
$70,000 - $300,000 a year
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.
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