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Robotics Technician Jobs in Riverside, CA (NOW HIRING)

We're looking for skilled and forward-thinking Mechatronics and Robotics Technicians to join our growing team as we work to service one of the world's largest online retailers. We offer competitive ...

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Robotics Technician information

See Riverside, CA salary details

$16

$29

$47

How much do robotics technician jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for robotics technician in Riverside, CA is $29.46, according to ZipRecruiter salary data. Most workers in this role earn between $23.08 and $34.38 per hour, depending on experience, location, and employer.

What is the difference between Robotics Technician vs Automation Technician?

AspectRobotics TechnicianAutomation Technician
Required CredentialsAssociate's degree or technical certification in robotics or mechatronicsAssociate's degree or technical certification in automation or electrical systems
Work EnvironmentManufacturing plants, robotics labs, assembly linesIndustrial facilities, manufacturing plants, process automation settings
Employer & Industry UsageManufacturers, robotics companies, automation service providersFactories, production facilities, industrial automation firms
Common Search & ComparisonYesYes

Robotics Technicians focus on installing, maintaining, and repairing robotic systems, often working directly with robots in manufacturing or research environments. Automation Technicians handle broader automation systems, including control panels and electrical components, which may involve robotics but also encompass other automated machinery. While both roles require technical certifications and work in industrial settings, Robotics Technicians specialize specifically in robotic systems, making them distinct yet overlapping roles in automation industries.

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

To thrive as a Robotics Technician, you need strong knowledge of electronics, mechanical systems, and robotics, typically supported by an associate degree or technical certification in robotics or a related field. Familiarity with PLCs, robotic programming languages, diagnostic tools, and control systems is essential. Attention to detail, problem-solving skills, and effective communication set outstanding technicians apart. These skills and qualifications are crucial for ensuring safe, efficient operation and maintenance of robotic equipment in industrial environments.

What are robotics technicians?

Robotics technicians are skilled professionals who build, install, test, maintain, and repair robotic systems used in manufacturing, research, healthcare, and other industries. They work closely with engineers to ensure robots operate efficiently and safely, often troubleshooting issues and performing routine maintenance. Robotics technicians also program, calibrate, and upgrade robotic equipment to meet operational needs, making them essential in the growing field of automation.

What are the typical daily responsibilities of a Robotics Technician in a manufacturing setting?

A Robotics Technician in a manufacturing environment typically spends each day installing, troubleshooting, and maintaining robotic systems to ensure smooth production. This includes performing routine inspections, diagnosing mechanical or electrical issues, updating software, and calibrating equipment. Technicians often work closely with engineers and machine operators to identify areas for improvement and prevent downtime. The work is hands-on and may require adapting quickly to new technologies as automation systems evolve.
What cities near Riverside, CA are hiring for Robotics Technician jobs? Cities near Riverside, CA with the most Robotics Technician job openings:

1.51 Robotics Autonomy Engineer - Locomotion

FieldAI

Irvine, CA โ€ข On-site

Full-time

Posted 16 days ago

Be an early applicant


Job description


Field AIย 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:
ย 
Field AI is building the future of autonomyโ€”from rugged terrain to real-world deployment. Weโ€™re on a mission to develop intelligent, adaptable robotic systems that operate beyond simulation and thrive in unpredictable environments. As our Robotics Autonomy Engineer โ€“ Locomotion, youโ€™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)โ€”this is your role. This is Field AI.
What Youโ€™ll Get To Do
  • ย 
1. Design and Own RL-Based Locomotion Pipelines
ย 
  • 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.
ย 
2. Deploy Locomotion Behaviors on Physical Robots
ย 
  • 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.
ย 
3. Build and Scale Simulation Infrastructure
ย 
  • Build scalable training environments using GPU-accelerated simulators.ย 
  • Automate evaluation across domain-randomized scenarios and domain adaptation protocols.
  • Maintain simulation infrastructure that enables rapid prototyping, validation, and reproducibility.
ย 
4. Collaborate Across the Full Robotics Stack
ย 
  • 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 โ€” 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.
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.ย 

Why Join Field AI?
We are solving one of the worldโ€™s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Modelsโ„ข 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. Withย 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 โ€” innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. Weโ€™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.ย 

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.