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Perception Algorithm Engineer Jobs in Irvine, CA

Implement perception algorithms that fuse data from multiple sensors such as LiDAR, cameras, RADAR ... Work closely with engineers, researchers, and operators to define perception requirements and ...

Implement perception algorithms that fuse data from multiple sensors such as LiDAR, cameras, RADAR ... Work closely with engineers, researchers, and operators to define perception requirements and ...

Implement perception algorithms that fuse data from multiple sensors such as LiDAR, cameras, RADAR ... Work closely with engineers, researchers, and operators to define perception requirements and ...

Computer Vision Engineer

Costa Mesa, CA · On-site

$118.20K - $139.40K/yr

The Computer Vision Engineer will develop advanced perception systems for autonomous aerial platforms, integrating computer vision algorithms with robotics principles to solve complex challenges in ...

Computer Vision Engineer

Costa Mesa, CA · On-site

$191K - $253K/yr

Our team specializes in integrating advanced perception and autonomy algorithms into complex aerial ... ABOUT THE JOB We are seeking an experienced Computer Vision Engineer with a strong background in ...

Perception Engineer

Huntington Beach, CA · On-site

$125K - $220K/yr

As a Perception Engineer, you will design, train, and deploy state-of-the-art vision and multi ... Perform simulation-based testing with high-fidelity sensor models and validate algorithms using ...

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Perception Algorithm Engineer information

See Irvine, CA salary details

$63.9K

$119.8K

$217.9K

How much do perception algorithm engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for perception algorithm engineer in Irvine, CA is $119,825.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,400.00 and $142,200.00 per year, depending on experience, location, and employer.

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

To thrive as a Perception Algorithm Engineer, you need a strong background in computer vision, machine learning, and programming (typically C++ or Python), often supported by a degree in computer science, robotics, or a related field. Familiarity with tools like TensorFlow, PyTorch, OpenCV, and ROS, as well as experience with sensor data (e.g., LiDAR, cameras), is crucial. Strong analytical thinking, problem-solving abilities, and effective teamwork are standout soft skills for this role. These skills are vital to develop robust perception systems that enable autonomous vehicles and robots to interpret and interact safely with complex real-world environments.

What are some common challenges faced by Perception Algorithm Engineers when integrating their solutions into autonomous systems?

Perception Algorithm Engineers often encounter challenges when ensuring their algorithms perform reliably in diverse real-world environments, such as varying lighting, weather conditions, and sensor noise. Integrating algorithms with hardware requires close collaboration with robotics and systems engineering teams to optimize performance and latency. Additionally, balancing accuracy with computational efficiency is crucial, as perception modules must run in real time on embedded systems. Addressing these challenges involves rigorous testing, continuous model improvement, and effective cross-functional communication.

What is a Perception Algorithm Engineer?

A Perception Algorithm Engineer is a professional who develops algorithms that enable machines—such as autonomous vehicles or robots—to interpret and understand sensory data from their environment. This typically involves processing data from cameras, lidar, radar, and other sensors to identify objects, track movement, and understand surroundings. Perception Algorithm Engineers work with computer vision, sensor fusion, and machine learning techniques to create reliable and efficient perception systems. Their work is crucial in making machines aware of their surroundings and enabling them to respond appropriately. They often collaborate with hardware, software, and robotics teams to integrate their algorithms into real-world applications.
What are popular job titles related to Perception Algorithm Engineer jobs in Irvine, CA? For Perception Algorithm Engineer jobs in Irvine, CA, the most frequently searched job titles are:
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What cities near Irvine, CA are hiring for Perception Algorithm Engineer jobs? Cities near Irvine, CA with the most Perception Algorithm Engineer job openings:

Senior Robot Perception Engineer

FieldAI

Irvine, CA • Remote

$70K - $300K/yr

Full-time

Posted 13 days 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

At FieldAI, we’re building autonomy for robots that operate in the real world, in harsh environments, and under challenging conditions where traditional sensing breaks down. We’re looking for a Senior Robotics Perception Engineer to own and advance perception capabilities for our federal autonomy programs. In this role, you will lead development of the perception stack for robots operating in unstructured terrains, taking responsibility for performance, robustness, and deployment on new platforms and sensor configurations. You’ll work hands-on across software and hardware for integrating LiDAR, RADAR and multispectral, and sensing into production autonomy systems and delivering capabilities that directly support customers.

What You Will Do1. Build and Maintain Perception Systems
  • Design, implement, and maintain perception systems for autonomous robots operating in real-world environments.

  • Develop robust localization and mapping capabilities that perform reliably in unstructured, off-road, and field conditions.

  • Continuously evaluate and improve perception performance through testing, iteration, and field validation.

2. Develop and Integrate Sensor-Based Perception
  • Implement perception algorithms that fuse data from multiple sensors such as LiDAR, cameras, RADAR and inertial sensors. 

  • Support the integration of new sensing modalities and sensor configurations as robotic platforms evolve.

  • Ensure perception software operates reliably across simulation and real-world deployments.

3. Deploy Perception Software on Real Robots
  • Bring perception algorithms from development to deployment on physical robotic systems.

  • Debug and resolve issues discovered during on-robot testing and field operations.

  • Collaborate with autonomy, controls, and platform teams to ensure perception systems integrate cleanly into the full autonomy stack.

4. Improve System Robustness and Scalability
  • Contribute to code quality, testing, and long-term maintainability of perception systems.

  • Develop tools, metrics, and tests to monitor performance and catch regressions over time.

  • Help scale perception solutions across multiple robots, environments, and missions.

5. Collaborate Across Teams
  • Work closely with engineers, researchers, and operators to define perception requirements and deliver reliable solutions.

  • Communicate technical designs, tradeoffs, and results clearly to both technical and non-technical stakeholders.

  • Support field operations and customer demonstrations by ensuring perception systems are production-ready.

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

  • Strong background in robot perception, localization, and mapping (SLAM) for real-world robotic systems.

  • Hands-on experience developing and deploying perception software in field robotics environments (not just simulation).

  • Proficiency in modern robotics software development (C++, Python) and ROS/ROS2 based systems.

  • Experience working with robot perception and state estimation (VIO, LIO, mapping, sensor fusion etc).

  • Ability to take ownership of complex subsystems, from design through field deployment and long-term maintenance.

  • Comfort working close to hardware, including debugging sensor data, calibration, and real-world failures.

  • Strong problem-solving skills and ability to operate independently in fast-moving, small teams.

The Extras That Set You Apart 
  • Experience with thermal, LWIR, or multispectral passive sensing for robotic perception.

  • Experience integrating and calibrating custom sensor rigs (e.g., stereo, thermal, or multi-LiDAR setups).

  • Familiarity with CI/CD pipelines, performance regression testing, and benchmarking for perception systems.

  • Experience aligning or unifying perception stacks across multiple platforms or product lines.

  • Demonstrated leadership in research, field operations, or mentoring junior engineers and researchers.

  • Knowledge of containerization (Docker, Kubernetes) and modern DevOps practices.

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.