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Autonomous Jobs in Riverside, CA (NOW HIRING)

FieldAI

VP of Engineering

Irvine, CA · On-site

$193K - $249K/yr

You will partner closely with product, robotics, autonomy, and field operations leadership to align technical execution with a deployment-driven roadmap. This role blends technical depth ...

FieldAI

VP of Engineering

Irvine, CA · On-site

$193K - $249K/yr

You will partner closely with product, robotics, autonomy, and field operations leadership to align technical execution with a deployment-driven roadmap. This role blends technical depth ...

FieldAI

VP of Engineering

Irvine, CA

$70K - $300K/yr

You will partner closely with product, robotics, autonomy, and field operations leadership to align technical execution with a deployment-driven roadmap. This role blends technical depth ...

FieldAI

Robotics Product Security Engineer

Irvine, CA · On-site

$63 - $84.25/hr

You will work closely with robotics, autonomy, and infrastructure teams to design, assess, and improve the security of deployed robotic systems throughout their lifecycle. Your work will directly ...

FieldAI

Lead Functional Safety Engineer-Federal

Irvine, CA · On-site

$70K - $300K/yr

Learn more at About the Job At FieldAI , we build autonomous robotic systems that operate in demanding, real-world environments where tight integration between hardware and software is critical. We ...

FieldAI

Robotics Product Security Engineer

Irvine, CA

$63 - $84.25/hr

You will work closely with robotics, autonomy, and infrastructure teams to design, assess, and improve the security of deployed robotic systems throughout their lifecycle. Your work will directly ...

FieldAI

Lead Functional Safety Engineer-Federal

Irvine, CA

$110K - $144K/yr

Learn more at About the Job At FieldAI , we build autonomous robotic systems that operate in demanding, real-world environments where tight integration between hardware and software is critical. We ...

FieldAI

Robotics Product Security Engineer

Irvine, CA

$63 - $84.25/hr

You will work closely with robotics, autonomy, and infrastructure teams to design, assess, and improve the security of deployed robotic systems throughout their lifecycle. Your work will directly ...

FieldAI

Software Engineer, ROS Developer

Irvine, CA

$125K - $155K/yr

Help in building autonomy APIs that allow modular interfacing with SLAM, path planning, and mission logic. * Implement and optimize real-time data processing pipelines using C++ and Python.

FieldAI

Software Engineer, ROS Developer

Irvine, CA

$125K - $155K/yr

Help in building autonomy APIs that allow modular interfacing with SLAM, path planning, and mission logic. * Implement and optimize real-time data processing pipelines using C++ and Python.

FieldAI

Software Engineer, ROS Developer

Irvine, CA · On-site

$125K - $155K/yr

Help in building autonomy APIs that allow modular interfacing with SLAM, path planning, and mission logic. * Implement and optimize real-time data processing pipelines using C++ and Python.

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All JobsAutonomous JobsAutonomous Jobs in Riverside, CA

Autonomous information

See Riverside, CA salary details

$33.4K

$51.3K

$70.9K

How much do autonomous jobs pay per year?

As of Jul 12, 2026, the average yearly pay for autonomous in Riverside, CA is $51,257.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,800.00 and $57,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Autonomous Vehicle Engineer, and why are they important?

To thrive as an Autonomous Vehicle Engineer, you need solid expertise in robotics, computer vision, machine learning, and a background in computer science or engineering. Familiarity with programming languages like Python and C++, as well as experience with ROS (Robot Operating System) and simulation tools, is typically required. Strong problem-solving skills, attention to detail, and effective teamwork set standout professionals apart. These abilities are crucial for developing safe, reliable autonomous systems that perform well in complex, real-world environments.

How does an Autonomous Systems Engineer typically collaborate with cross-functional teams during a project?

Autonomous Systems Engineers work closely with software developers, hardware engineers, data scientists, and project managers to design, test, and deploy autonomous technologies. Collaboration often involves regular team meetings, sharing technical documentation, and joint problem-solving sessions to ensure seamless integration of system components. Engineers may also coordinate with testing teams to validate system performance and safety, making effective communication and teamwork essential skills in this role.

What jobs have autonomy?

Jobs with high autonomy include roles such as remote software developers, freelance writers, and project managers, where individuals often set their own schedules and work independently. These positions typically require strong self-discipline, communication skills, and sometimes specific certifications or tools to manage tasks effectively.

What are autonomous jobs?

Autonomous jobs refer to roles or tasks that are performed independently, often with minimal supervision or direction. In the context of technology, autonomous jobs usually involve the use of artificial intelligence or robotics to carry out work without constant human intervention. These positions might include operating or overseeing autonomous vehicles, managing automated systems, or developing technologies that support automation. The goal is to improve efficiency, safety, and productivity by reducing the need for manual oversight. Careers in this field can span across industries such as transportation, manufacturing, logistics, and IT.

How can I make 2000 a week working from home?

Autonomous jobs that can pay $2,000 a week from home typically involve high-demand skills such as software development, digital marketing, consulting, or specialized freelance work. Achieving this income level often requires building a strong client base, gaining relevant certifications, and working full-time hours or managing multiple projects simultaneously.

Which 3 jobs will survive AI?

Jobs that require complex human interaction, creativity, and critical thinking, such as healthcare professionals, skilled tradespeople, and creative roles like designers or writers, are more likely to persist despite AI advancements. These roles often involve emotional intelligence, hands-on skills, or nuanced judgment that AI cannot easily replicate.

What does autonomous job mean?

An autonomous job refers to a role where employees have a high degree of independence in their work, often involving self-management and decision-making. Such positions may require skills in time management, problem-solving, and familiarity with relevant tools or technologies, and they can be found in various industries including technology, manufacturing, and services.
What are popular job titles related to Autonomous jobs in Riverside, CA? For Autonomous jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Autonomous jobs in Riverside, CA look for? The top searched job categories for Autonomous jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Autonomous jobs? Cities near Riverside, CA with the most Autonomous job openings:
Autonomous jobs near you
Infographic showing various Autonomous job openings in Riverside, CA as of July 2026, with employment types broken down into 2% As Needed, 85% Full Time, 9% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $51,257 per year, or $24.6 per hour.

1.51 Robotics Autonomy Engineer - Locomotion

FieldAI

Irvine, CA

$70K - $300K/yr

Full-time

Posted 16 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.

About the Job:
 
Field AI is building the future of autonomy-from rugged terrain to real-world deployment. We're on a mission to develop intelligent, adaptable robotic systems that operate beyond simulation and thrive in unpredictable environments. As our Robotics Autonomy Engineer - Locomotion, you'll lead the development and deployment of state-of-the-art reinforcement learning-based controllers for legged and humanoid robots. You'll be part of a deeply technical team advancing real-world robotic capabilities through cutting-edge research, simulation tools, and field validation.If designing locomotion systems that can navigate complex, dynamic environments excites you, and you want to work where your code hits the ground (literally)-this is your role. This is Field AI.
What You'll Get To Do
  •  
1. Design and Own RL-Based Locomotion Pipelines
 
  • Architect and implement scalable reinforcement learning (RL) pipelines optimized for locomotion and manipulation.
  • Integrate physics-based simulation environments (Isaac Gym, Isaac Lab, MuJoCo) with custom training workflows.
  • Develop reward functions, policy architectures, and domain randomization strategies that close the sim-to-real gap.
 
2. Deploy Locomotion Behaviors on Physical Robots
 
  • Create agile, robust locomotion behaviors for quadruped and humanoid platforms, and validate them on real hardware.
  • Solve real-world challenges in balance, contact-rich dynamics, high-DOF coordination, and terrain variability.
  • Drive iterative testing across terrain variability and unstructured environments.
 
3. Build and Scale Simulation Infrastructure
 
  • Build scalable training environments using GPU-accelerated simulators. 
  • Automate evaluation across domain-randomized scenarios and domain adaptation protocols.
  • Maintain simulation infrastructure that enables rapid prototyping, validation, and reproducibility.
 
4. Collaborate Across the Full Robotics Stack
 
  • Work closely with systems engineers, perception experts, and embedded teams to close the loop between learning and execution.
  • Incorporate real-world telemetry and field data to continuously improve model generalization.
  • Lead deployment workflows from experiment through lab testing to field robot validation.
What You Have
  • Master's degree or higher in Robotics, Computer Science, Engineering, or related field (PhD strongly preferred).
  • Deep expertise in reinforcement learning for continuous control.
  • 2+ years of experience developing and deploying locomotion policies on real robotic systems.
  • Hands-on experience with legged robot platforms (quadrupeds, bipedal systems, or exoskeletons).
  • Proficiency with simulation tools such as Isaac Gym, Isaac Lab, MuJoCo, or PyBullet.
  • Strong command of sim-to-real transfer - domain randomization, system identification, adaptive methods, and a track record of bridging the gap successfully.
  • Solid understanding of contact dynamics, control theory, and kinematics.
  • Strong Python and/or C++ development skills in Linux-based development environments.
  • Familiarity with machine learning frameworks (PyTorch, TensorFlow).
  • A passion for building things that move in the real world.
The Extras That Set You Apart
  • 3+ years of experience in an industry or startup robotics setting.
  • Experience deploying neural network controllers on resource-constrained robotic platforms (real-time inference, onboard compute).
  • Publications or open-source contributions in locomotion, RL, or control.
  • Familiarity with ROS/ROS2 or custom middleware for real-time control.
  • Background in manipulation, loco-manipulation, or whole-body coordination.
  • Experience debugging sim-to-real issues at scale.
  • Contributions to reinforcement learning libraries or simulation platforms.
  • Prior work on multi-agent learning or terrain-adaptive control systems.
$70,000 - $300,000 a year
Our salary range is generous and 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. 

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 Mission Viejo (Irvine adjacent), 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.
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