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From Home Nvidia Robotics Jobs in Riverside, CA (NOW HIRING)

FieldAI

Robotics System Engineer

Irvine, CA

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 System Engineer

Irvine, CA · On-site

$170K - $190K/yr

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 System Engineer

Irvine, CA · On-site

$170K - $190K/yr

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 ...

Field AI

3D Machine Learning Engineer

Irvine, CA

Fieldai Robotics Engineer FieldAI's Irvine team is where embodied AI meets real robots, real ... We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA ...

FieldAI

Software Engineer, ROS Developer

Irvine, CA

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

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

$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

Field Service Engineer

Irvine, CA

Bring up new robots upon receipt from OEMs or manufacturing partners, including initial ... NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX ...

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All JobsNvidia Robotics JobsFrom Home Nvidia Robotics JobsFrom Home Nvidia Robotics Jobs in Riverside, CA

From Home Nvidia Robotics information

See Riverside, CA salary details

$87.6K

$100.2K

$121.5K

How much do from home nvidia robotics jobs pay per year?

As of Jun 16, 2026, the average yearly pay for from home nvidia robotics in Riverside, CA is $100,153.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,900.00 and $106,400.00 per year, depending on experience, location, and employer.

Which 5 jobs will survive AI?

Jobs that require complex problem-solving, creativity, emotional intelligence, and hands-on skills are more likely to survive AI automation. For example, roles like robotics engineers, AI specialists, healthcare professionals, skilled tradespeople, and managers are less susceptible to automation due to their reliance on human judgment and adaptability. Continuous learning and technical proficiency in tools like programming and robotics can also enhance job security in these fields.

How difficult is it to get hired at NVIDIA?

Getting hired at NVIDIA for roles like robotics or engineering positions typically requires a strong technical background, relevant experience, and proficiency in tools such as CUDA or robotics frameworks. The hiring process is competitive and often involves multiple interview rounds assessing technical skills, problem-solving ability, and cultural fit.

Can you work from home at NVIDIA?

NVIDIA offers some roles, including those related to robotics, that can be performed remotely, depending on the position and team requirements. Many technical jobs at NVIDIA, such as software engineering and research roles, support remote work, but certain positions may require on-site presence for collaboration or hardware access.

What are the key skills and qualifications needed to thrive as a Work-From-Home NVIDIA Robotics Engineer, and why are they important?

To thrive as a Work-From-Home NVIDIA Robotics Engineer, you generally need a background in robotics, computer science, or engineering, with strong programming skills in languages like Python or C++. Familiarity with NVIDIA hardware (such as Jetson platforms), robotics middleware (like ROS), and deep learning frameworks is often required, along with relevant certifications or project experience. Excellent problem-solving, remote collaboration, and communication skills set standout candidates apart. These skills ensure the ability to develop, test, and deploy advanced robotics solutions efficiently while working remotely.

What are 'From Home Nvidia Robotics' jobs?

'From Home Nvidia Robotics' jobs refer to remote positions with Nvidia that focus on robotics development, research, or support. These roles may include software engineering, AI development, simulation, or technical support for Nvidia's robotics platforms and tools, such as Isaac Sim or Jetson. Employees in these roles can work from their homes while collaborating virtually with global teams to develop cutting-edge robotics solutions. The work often involves coding, testing, and deploying robotics applications or supporting customers and partners using Nvidia's robotics technologies.

How much do NVIDIA robotics workers make?

NVIDIA robotics workers' salaries vary depending on experience, role, and location, but generally range from $70,000 to over $130,000 annually. Positions often require skills in robotics, programming, and AI, with higher salaries for specialized or senior roles.

What are the typical collaboration tools and communication methods used by Nvidia Robotics teams working from home?

Nvidia Robotics professionals working remotely typically rely on a suite of digital collaboration tools to stay connected and productive. Common platforms include Slack or Microsoft Teams for instant messaging, Zoom for video meetings, and project management tools like Jira or Asana to track tasks and progress. Code collaboration and version control are usually managed through GitHub or GitLab. Regular virtual stand-ups and documentation sharing ensure everyone stays aligned, and there's a strong emphasis on clear, timely communication to support teamwork across different time zones and disciplines.

What is the difference between From Home Nvidia Robotics vs From Home Nvidia Data Analyst?

AspectFrom Home Nvidia RoboticsFrom Home Nvidia Data Analyst
Required CredentialsBachelor's in Robotics, Computer Science, or related field; certifications in robotics or automationBachelor's in Data Science, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentRemote, involving software development, robotics programming, and simulationRemote, focusing on data collection, analysis, and reporting
Industry UsageRobotics, automation, AI developmentData-driven decision making, analytics, AI training

While both roles are remote and involve working with Nvidia technologies, From Home Nvidia Robotics focuses on developing and programming robotic systems, whereas From Home Nvidia Data Analyst centers on analyzing data to support business and AI insights. The credentials overlap in technical skills, but the job functions differ significantly in their focus areas.

What are popular job titles related to From Home Nvidia Robotics jobs in Riverside, CA? For From Home Nvidia Robotics jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching From Home Nvidia Robotics jobs in Riverside, CA look for? The top searched job categories for From Home Nvidia Robotics jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for From Home Nvidia Robotics jobs? Cities near Riverside, CA with the most From Home Nvidia Robotics job openings:
From Home Nvidia Robotics jobs near you
Infographic showing various From Home Nvidia Robotics job openings in Riverside, CA as of June 2026, with employment types broken down into 96% Full Time, 2% Temporary, and 2% Nights. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $100,153 per year, or $48.2 per hour.

Staff Robotics Autonomy Engineer-Planning and Control

FieldAI

Irvine, CA • Remote

$70K - $300K/yr

Full-time

Posted 2 hours ago

Job description

Who are We?

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.

Learn more at https://fieldai.com.

About the Job

Field AI is building the future of autonomy, from rugged terrain to real-world deployment. We are on a mission to develop intelligent, adaptable robotic systems that operate beyond simulation and thrive in unpredictable environments. 

As our Robotics Autonomy Engineer – Planning and Control, you will design, implement, and deploy advanced motion planning and control algorithms that enable our robots to move with precision, robustness, and efficiency across diverse environments. You will work on navigation, trajectory generation, and motion control for robotic platforms ranging from wheeled and legged systems to complex humanoid architectures. If enabling robots to navigate challenging, dynamic environments excites you, and you want to work where your code works in the physical world - this is your role. This is Field AI.

What You’ll Get To Do

1. Develop Robust Motion Planning Algorithms

  • Design, develop, and refine motion and navigation planning algorithms for challenging real-world scenarios such as narrow passages, dynamic obstacles, and complex environments.

  • Design optimization-driven approaches for path and trajectory generation that ensure smooth, reliable, and efficient robot navigation across modalities.

  • Ensure scalability, reusability, and adaptability of planning approaches across diverse deployment contexts.

2. Advance Control and Planning Integration

  • Develop and tune control algorithms that ensure precise trajectory tracking and stable operation across different robotic systems.

  • Collaborate across autonomy layers to ensure seamless coordination between perception, planning, and control for robust real-world performance.

3. Validate and Test Across the Stack

  • Build and maintain testing pipelines from unit-level validation to full robot deployment.

  • Utilize simulation and testing environments for algorithm evaluation, benchmarking, and regression validation.

  • Analyze real-world telemetry to diagnose issues, identify improvements, and enhance algorithm robustness.

4. Diagnose and Improve Field Performance

  • Investigate and resolve issues arising from field deployments through structured data analysis and debugging.

  • Deliver targeted improvements that address specific challenges while maintaining general-case reliability and performance.

What You Have

  • PhD degree in Robotics, Computer Science, Electrical Engineering, or a related field with 2+ years of industry or applied research experience or MS degree in a related field with 4+ years of relevant experience, or BS degree in a related field with 8+ years of relevant experience.

  • Strong understanding of motion planning, trajectory generation, and control systems.

  • Experience developing algorithms for one or more robotic systems (wheeled, legged, wheeled-legged, humanoid).

  • Familiarity with motion planning libraries like OMPL, MoveIt, Nav2 stack etc

  • Solid programming skills in C++ and Python on Linux-based systems.

  • Familiarity with robotics middleware such as ROS/ROS 2.

  • Experience with robot sensors including LiDARs, stereo/depth cameras, IMUs, GPS, wheel encoders.

The Extras That Set You Apart

  • Exposure to real-world deployment of autonomous systems.

  • Background in optimization, control, or numerical methods for trajectory planning.

  • Familiarity with learning-based or hybrid planning approaches.

  • Contributions to open-source planning or control frameworks.

  • Familiarity with safety-critical autonomy and industrial robotics use cases.

Compensation

The salary range for this role is $70,000-$300,000. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time. 

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. 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.