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Remote Nasa Jobs in Riverside, CA (NOW HIRING)

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option ... NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota ...

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option ... NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota ...

Trace3

Project Manager (Remote)

Irvine, CA · On-site +1

ABOUT THE ROLE: The Project Manager (PM) is responsible for end-to-end management of projects in accordance with the terms of the customer agreement and the Company Project Management Framework. The ...

Trace3

Project Manager (Remote)

Irvine, CA · On-site +1

Who is Trace3 ? Trace3 is a leading Transformative IT Authority, providing unique technology solutions and consulting services to our clients. Equipped with elite engineering and dynamic innovation ...

Trace3

Project Manager (Remote)

Irvine, CA · On-site +1

Who is Trace3 ? Trace3 is a leading Transformative IT Authority, providing unique technology solutions and consulting services to our clients. Equipped with elite engineering and dynamic innovation ...

NextDeavor Inc.

Mid Level Software Engineer

Irvine, CA · Remote

$100K - $115K/yr

Mid Level Software Engineer Full-time Remote Exclusive confidential search -- details shared with qualified applicants. Become a Key Player as a Mid Level Software Engineer You will contribute to ...

Zorts Sports

Software Engineer

Claremont, CA · Remote

$100K - $125K/yr

Software Engineer Flash Biometrics | Hybrid/Remote - Claremont, CA Salary Range: $100,000-$125,000 About Flash Biometrics Flash Biometrics is transforming event admissions with fast, secure, and ...

The Vertex Companies, LLC

Project Manager

Irvine, CA · On-site +1

Candidate will work on a hybrid/remote schedule based in either our Irvine office, or remotely, and be responsible for the successful completion of projects including, but not limited to, the ...

Salas O'Brien, Inc.

Mechanical Engineer

Tustin, CA · On-site +1

$70K - $110K/yr

Tustin, CA (on-site with remote half day on Fridays) Travel : * Up to 25% Compensation & Benefits: Salas O'Brien health and welfare benefits are designed to invest in you, and in the things you care ...

All JobsNasa JobsRemote Nasa JobsRemote Nasa Jobs in Riverside, CA

Remote Nasa information

See Riverside, CA salary details

$16

$28

$39

How much do remote nasa jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for remote nasa in Riverside, CA is $28.87, according to ZipRecruiter salary data. Most workers in this role earn between $22.55 and $34.62 per hour, depending on experience, location, and employer.

What is a remote NASA job?

A Remote NASA job is a position that allows employees to work for NASA from a location outside of a traditional office setting, often from home or another remote workspace. These roles can span various fields, including engineering, data analysis, cybersecurity, and project management. Remote NASA jobs typically involve collaboration with teams using digital tools and may require security clearances or specialized expertise. Availability of remote positions depends on specific projects and NASA’s operational needs. Interested candidates can explore openings on NASA’s official careers website.

What are the primary responsibilities and challenges of working remotely for NASA?

Remote roles at NASA generally involve collaborating on scientific research, data analysis, software development, or mission planning from a distance, using secure online platforms and frequent virtual meetings to stay connected with cross-functional teams. One of the main challenges in a remote NASA position is maintaining clear communication and coordination across different time zones and project teams, often requiring proactive updates and strong organizational skills. However, remote employees have access to a supportive digital infrastructure, mentoring opportunities, and the ability to contribute to innovative missions from anywhere. Typical responsibilities may include writing code, analyzing datasets, contributing to proposals, or supporting mission operations, depending on the specific remote role. Working remotely with NASA provides the unique opportunity to collaborate with top minds in space exploration and science while enjoying flexible work arrangements.

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

To thrive in a remote position with NASA, candidates typically need a robust background in STEM fields such as engineering, computer science, or data analysis, often supported by an advanced degree. Familiarity with tools like Python, MATLAB, remote collaboration platforms, and specialized NASA software, along with security clearance for certain projects, is highly beneficial. Strong problem-solving abilities, self-motivation, and excellent communication skills stand out in remote settings. These skills and qualities are critical to successfully contributing to cutting-edge projects, maintaining effective teamwork, and ensuring the integrity and security of sensitive data while working remotely.

What are popular job titles related to Remote Nasa jobs in Riverside, CA?

For Remote Nasa jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Remote Nasa jobs in Riverside, CA look for?

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Remote Nasa jobs near you
Infographic showing various Remote Nasa job openings in Riverside, CA as of August 2026, with employment types broken down into 77% Full Time, 18% Part Time, 2% Temporary, and 3% Contract. Highlights an 100% Remote job distribution, with an average salary of $60,053 per year, or $28.9 per hour.

Senior Software Engineer, MLOps

Irvine, CA • On-site, Remote

FieldAI
See more jobs at FieldAIexternal

$131K - $173K/yr

Full-time

Re-posted 11 days ago

Job description

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

We are seeking a skilled and motivated Senior MLOps Engineer to join our engineering team. In this role, you will design and maintain the infrastructure and tooling that supports the full lifecycle of machine learning systems used in robotics applications. You will work closely with machine learning engineers, robotics engineers, and infrastructure teams to ensure reliable training, evaluation, deployment, and monitoring of ML models. This is an exciting opportunity to help operationalize machine learning in real-world robotic systems within a fast-growing and dynamic environment.

What You Will Get To Do

  • Design, build, and maintain GPU based infrastructure for machine learning pipelines, including data processing, training, evaluation, inference and deployment workflows.

  • Collaborate closely with robotics teams to implement model serving infrastructure for edge/robot deployment.

  • Build tools and automation to support reproducible experiments, model versioning, and dataset management.

  • Deploy and manage ML services and inference pipelines using containerized environments for efficient scaling and scheduling of heterogeneous compute resources.

  • Monitor model performance and system reliability across development and production environments.

  • Improve the efficiency, scalability, and reliability of ML workflows and infrastructure.

  • Work with cross-functional engineering teams to integrate ML components into robotics software systems.

What You Have

  • Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent work experience).

  • 3-7 years of experience in MLOps, machine learning infrastructure, or related engineering roles.

  • Strong programming skills in Python or similar languages.

  • Experience building and maintaining machine learning pipelines.

  • Hands-on experience with cloud and cloud-native tools such as AWS (SageMaker, S3, or similar cloud ML services), Kubernetes etc.,

  • Solid understanding of Linux systems and distributed computing environments.

  • Experience with GPU workload scheduling and orchestration across multi-region cloud environments.

  • Excellent problem-solving skills and the ability to work collaboratively in a team environment.

What Will Set You Apart

  • Experience deploying and operating ML systems for robotics or real-world physical systems.

  • Experience with scaling AI, ML, and inference workloads on Kubernetes.

  • Exposure to ROS-based robotics data formats and pipelines (rosbags, point clouds)

  • Experience with experiment tracking, model versioning, or dataset versioning tools.

  • Experience optimizing ML pipelines for large-scale training and data processing.

  • Experience working closely with research or applied machine learning teams.

Compensation and Benefits
Our salary range is competitive with the market, but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience.  Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.
 
Why Join Field AI?
We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.
 
You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.
 
Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.
 
We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. 
 
Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!
 
 
 
We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, 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.