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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

$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

Senior Robotics Engineer (Federal)

Irvine, CA

$112K - $154K/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're ...

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 ...

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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 Jun 18, 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 job makes $10,000 a month without a degree?

In the field of autonomous systems, roles such as autonomous vehicle software engineers or robotics specialists can earn $10,000 or more per month, especially with experience and specialized skills in programming, AI, and sensor integration. These positions often require expertise in coding languages like Python or C++, knowledge of machine learning, and familiarity with autonomous technology platforms.

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.

What jobs have a lot of autonomy?

Jobs with high autonomy include roles such as autonomous vehicle operators, freelance writers, software developers, and remote consultants. These positions often allow individuals to set their own schedules, work independently, and make decisions with minimal supervision. Skills in self-management, technical tools, and specialized knowledge are typically important in these roles.

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 writers and designers, are more likely to persist despite AI advancements. These roles often involve emotional intelligence, nuanced judgment, and hands-on skills 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 tasks, often requiring self-management and decision-making. These positions may involve working with automation tools or in environments that emphasize flexibility and minimal supervision.
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

Robotics Autonomy Engineer-Planning and Control

FieldAI

Irvine, CA

$70K - $200K/yr

Full-time

Posted 17 hours 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 – Planning and Control, you’ll 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’ll 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 hits the ground (literally) — 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
  • Master’s degree or higher in Robotics, Computer Science, Mechanical/Electrical Engineering, or a related field (PhD a plus).
  • Strong understanding of motion planning, trajectory generation, and control systems.
  • Experience developing algorithms for one or more robotic systems (wheeled, legged, wheeled-legged, humanoid).
  • 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 and Benefits
 
The salary range for this role is $70,000-$200,000. 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. 
 
Field AI Onsite Work Philosophy
 
At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Mission Viejo, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance.
 
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 dedicated to fostering a diverse and inclusive workplace and encourage applicants from all backgrounds to apply.
 
We are dedicated to fostering a diverse and inclusive workplace and encourage applicants from all backgrounds to apply.

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.