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Robotics Perception Engineer Jobs in Riverside, CA

Software Engineer, ROS Developer

Irvine, CA ยท On-site

$125K - $155K/yr

Collaborate with perception engineers on integrating AI-driven insights for robotic decision-making. * Design and test autonomous behavior on physical platforms in real-world field scenarios.

Software Engineer, Robotics

Irvine, CA ยท On-site

$166K - $282K/yr

This includes systems analysis, sensor selection and integration, perception architecture and ... Strong engineering background from industry or school, ideally in areas/fields such as Robotics ...

Collaborate with perception engineers on integrating AI-driven insights for robotic decision-making. * Design and test autonomous behavior on physical platforms in real-world field scenarios.

Software Engineer, Robotics

Irvine, CA ยท On-site

$166K - $282K/yr

This includes systems analysis, sensor selection and integration, perception architecture and ... Strong engineering background from industry or school, ideally in areas/fields such as Robotics ...

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Robotics Perception Engineer information

See Riverside, CA salary details

$30.3K

$110.2K

$176.3K

How much do robotics perception engineer jobs pay per year?

As of Jul 18, 2026, the average yearly pay for robotics perception engineer in Riverside, CA is $110,174.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,100.00 and $132,500.00 per year, depending on experience, location, and employer.

What are Robotics Perception Engineers?

Robotics Perception Engineers are professionals who specialize in enabling robots to interpret and understand their environment using sensors and data processing algorithms. They work on developing and implementing computer vision, sensor fusion, and machine learning techniques so that robots can perceive objects, people, and surroundings. Their work is crucial for applications such as autonomous vehicles, drones, industrial automation, and service robots. By improving a robot's ability to 'see' and make sense of the world, they help create safer and more effective robotic systems.

What is the difference between Robotics Perception Engineer vs Computer Vision Engineer?

AspectRobotics Perception EngineerComputer Vision Engineer
Required CredentialsBachelor's or Master's in Robotics, Computer Science, or Electrical Engineering; experience with perception algorithmsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; strong programming skills in vision processing
Work EnvironmentRobotics labs, autonomous vehicle companies, industrial automationSoftware companies, tech startups, research labs focusing on image and video analysis
Industry UsageAutonomous vehicles, robotics, manufacturingHealthcare, security, consumer electronics, automotive

Robotics Perception Engineers focus on developing perception systems specifically for robots, integrating sensors and perception algorithms for navigation and interaction. Computer Vision Engineers primarily develop algorithms for interpreting visual data across various applications. While both roles require strong programming and understanding of perception, Robotics Perception Engineers specialize in sensor fusion and real-time processing within robotic systems, whereas Computer Vision Engineers work more broadly on image analysis and recognition tasks.

What are some common challenges faced by Robotics Perception Engineers when integrating new sensors into autonomous systems?

Robotics Perception Engineers often encounter challenges such as sensor calibration, data synchronization, and managing varying data quality when integrating new sensors. Ensuring that sensor data is accurately aligned in time and space is crucial for reliable perception in autonomous systems. Additionally, engineers must address the complexities of fusing data from multiple modalities (like cameras, LiDAR, or radar) while optimizing processing efficiency. Close collaboration with hardware and software teams is essential to troubleshoot integration issues and achieve robust, real-time perception.

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

To thrive as a Robotics Perception Engineer, you need strong expertise in computer vision, sensor fusion, machine learning, and proficiency in programming languages like C++ and Python, often supported by a degree in robotics, computer science, or a related field. Familiarity with tools and frameworks such as ROS (Robot Operating System), OpenCV, and deep learning libraries, as well as experience with sensors like LiDAR and cameras, is typically required. Excellent problem-solving abilities, teamwork, and adaptability help set standout professionals apart in this role. These competencies are crucial for enabling robots to accurately interpret and interact with their environment, leading to robust and reliable autonomous systems.
What are popular job titles related to Robotics Perception Engineer jobs in Riverside, CA? For Robotics Perception Engineer jobs in Riverside, CA, the most frequently searched job titles are:
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What cities near Riverside, CA are hiring for Robotics Perception Engineer jobs? Cities near Riverside, CA with the most Robotics Perception Engineer job openings:

Robotics AI Engineer - Calibration, Localization, and Mapping

FieldAI

Irvine, CA โ€ข On-site

$70K - $300K/yr

Full-time

Re-posted 15 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.
Robotics AI Engineer - Calibration, Localization, and Mapping
About Field AI
Field AI is at the forefront of robotic embodied AI, transforming industries like construction, security, mining, and manufacturing. Our autonomous robots operate globally, often in harsh environments, delivering critical insights to customers. Whether monitoring construction progress, ensuring safety compliance, or conducting predictive maintenance, Field AI is advancing technology to make a meaningful impact.
Learn more at https://fieldai.com.
About the Job
Field AI is seeking passionate scientists and engineers to play a vital role in the development of advanced geometric robot perception algorithms. As a member of our Calibration, Localization, and Mapping (CLAM) team, you will work with a team of high-focused individuals in a fast-paced environment to deliver production-quality code within our calibration, localization, and mapping subsystems. You will work with a variety of different sensing modalities and help streamline our calibration pipeline and/or develop environment-agnostic localization and mapping algorithms for our downstream autonomy modules. The specific project and work that you will be doing will depend on your specific skill set and area of interest. The ideal candidate will not only have a deep theoretical understanding of modern calibration, localization, and mapping algorithms, but also the practical skills to deliver high-quality and maintainable code on a small, focused team in a fast-paced environment.
What You'll Get To Do
  • Design and implement state-of-the-art calibration, localization, and mapping algorithms for our autonomous quadrupeds and humanoids
  • Develop various tools and metrics to continuously validate and benchmark the performance of our various subsystems
  • Write clean, efficient, and maintainable code in C++ and Python
  • Collaborate with cross-functional teams to integrate and deploy your algorithms into real-world systems

What You Have
  • Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field, with expertise in calibration, localization, and/or 3D mapping
  • Strong mathematical foundation in linear algebra, probability theory, numerical optimization, 3D geometry, Lie theory, and 3D kinematics
  • Strong theoretical understanding and practical experience with different linear and non-linear state estimation frameworks for sensor fusion
  • Familiarity with state-of-the-art LiDAR-inertial odometry and SLAM algorithms
  • Familiarity with state-of-the-art visual-inertial odometry and SLAM algorithms
  • Experience with sensor calibration (intrinsics and extrinsics) and time synchronization
  • Strong proficiency in C++ and Python and modern best practices, with the ability to write maintainable and efficient code
  • Strong understanding how ROS works and experience with designing, building, and deploying your own nodes into a complex robotic system
  • Strong problem-solving skills, attention to detail, and being able to work independently while managing multiple priorities
  • Strong work ethic, highly self-motivated, and excellent written and verbal communication skills

The Extras That Set You Apart
  • Publications and/or patents in calibration, state estimation, odometry, and/or SLAM
  • Experience working with noisy sensor measurements and designing outlier-resilient algorithms
  • Experience working with computationally constrained platforms and designing efficient, real-time algorithms with low computational complexity
  • Experience with other sensing modalities (e.g., radar, doppler-LiDAR, GPS, etc.)
  • Experience with modern version control and project management tools

Field AI Onsite Work Philosophy:
Field AI believes in-person collaboration is essential for tackling complex challenges. This is a fully onsite role based in our Irvine, CA office, with flexible hours to support work-life balance.
We are committed to fostering a diverse and inclusive workplace and encourage candidates from all backgrounds to apply.
Compensation and Benefits
Our salary range is between ($70,000 - $300,000 annual), 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 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. 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.