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Robotics Perception Jobs in California (NOW HIRING)

Medium

Senior Field Robotics Perception Engineer

Irvine, CA · On-site

$70 - $300/hr

FieldAI in Irvine, California, seeks a Senior Robotics Perception Engineer to lead the development of perception capabilities for robots in challenging environments. The role involves designing and ...

New

Medium

Senior Robot Perception Engineer

Irvine, CA · On-site

$70 - $300/hr

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 ...

New

FieldAI

Senior Robot Perception Engineer

Irvine, CA

$70K - $300K/yr

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 ...

FieldAI

Senior Robot Perception Engineer

Irvine, CA · On-site +1

$70K - $300K/yr

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 ...

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All JobsRobotics Perception JobsRobotics Perception Jobs in California

Robotics Perception information

What are some common challenges faced by professionals in robotics perception roles when integrating perception systems with real-world robotics applications?

A key challenge in Robotics Perception is ensuring that perception algorithms—such as object detection, mapping, and localization—operate reliably in dynamic, unstructured environments. Professionals often need to address sensor noise, variable lighting conditions, and occlusions that can impact data quality. Integrating perception systems with robotic hardware requires close collaboration with mechanical, software, and controls engineers to ensure real-time performance and robustness. Adapting solutions to different platforms and continuously validating them in field tests is also an essential, ongoing responsibility.

What is robotics perception?

Robotics perception refers to the ability of robots to interpret and understand their environment using sensors such as cameras, LIDAR, and radar. This field combines elements of computer vision, machine learning, and sensor fusion to help robots identify objects, navigate spaces, and interact with the world safely and effectively. Robotics perception is crucial for autonomous systems like self-driving cars, drones, and industrial robots, enabling them to make decisions based on real-time data from their surroundings.

What is the difference between Robotics Perception vs Robotics Software Engineer?

AspectRobotics PerceptionRobotics Software Engineer
Required CredentialsBachelor's or Master's in Robotics, Computer Science, or related fields; experience with perception algorithmsBachelor's or Master's in Computer Science, Software Engineering, or related; programming skills in C++, Python
Work EnvironmentResearch labs, R&D departments, industry settings focused on sensor data processingDevelopment teams, industrial or research settings, focusing on software development for robots
Industry UsageUsed in autonomous vehicles, drones, and robotic systems for environment understandingDevelops the software that enables robotic functionalities, including perception modules

Robotics Perception specialists focus on developing algorithms that interpret sensor data to understand the environment, while Robotics Software Engineers build the overall software systems that incorporate perception modules. Both roles often collaborate but differ in their core focus and skill sets.

What are the key skills and qualifications needed to thrive as a robotics perception engineer?

To thrive as a Robotics Perception Engineer, you need a solid background in computer vision, machine learning, and robotics, typically supported by a degree in computer science, engineering, or a related field. Experience with tools like ROS (Robot Operating System), OpenCV, and programming languages such as Python or C++ is essential, along with familiarity with sensor technologies and perception algorithms. Strong problem-solving skills, teamwork, and clear communication are crucial soft skills for addressing complex challenges and collaborating effectively. These abilities ensure robust perception systems, enabling robots to interpret and interact safely and efficiently with their environments.
What are popular job titles related to Robotics Perception jobs in California? For Robotics Perception jobs in California, the most frequently searched job titles are:
What job categories do people searching Robotics Perception jobs in California look for? The top searched job categories for Robotics Perception jobs in California are:
What cities in California are hiring for Robotics Perception jobs? Cities in California with the most Robotics Perception job openings:
Robotics Perception jobs near you
Infographic showing various Robotics Perception job openings in California as of August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Nights. Highlights an 99% Physical, and 1% Remote job distribution.

Principal / Staff Robotics Perception Engineer

Simbe Robotics

San Francisco, CA • On-site

$190K - $240K/yr

Full-time

Posted 4 days ago

Job description

Simbe is building the AI powered operating system for physical retail. Our autonomous robots and multimodal computer vision platform turn complex, constantly changing stores into accurate, actionable intelligence for leading retailers around the world. Simbe combines robotics, computer vision, machine learning, data infrastructure, and customer focused product design to help retailers improve shelf availability, price and promo execution, inventory accuracy, and store team productivity.
Simbe is looking for a Principal or Staff Robotics Perception Engineer to serve as a critical bridge between our Computer Vision and Robot Software teams. This role owns the path from perception models and sensor data to real robotic behavior in production environments. You will help Tally understand dynamic retail stores, improve autonomy, and translate Simbe's computer vision capabilities into more reliable navigation, localization, calibration, and customer facing intelligence.
Why This Role Is High Impact
  • You will work on real robots operating in complex, high variance environments, not only offline benchmarks.
  • Your work will improve autonomy and customer value across one of the largest real world retail robotics deployments.
  • You will connect AI research, production computer vision, robot software, edge inference, and field performance.

Responsibilities
  • Own production perception pipelines. Lead the design, evaluation, integration, and optimization of perception systems used by Tally robots, including object detection, semantic and instance segmentation, depth estimation, tracking, sensor fusion, visual localization, and camera calibration.
  • Bridge CV and robot autonomy. Partner with Computer Vision, Robotics Software, Product, and Field teams to integrate perception models into the robot codebase and improve navigation, localization, scene understanding, and system reliability.
  • Improve real time performance. Profile and optimize neural networks on current and next generation robot hardware using Python, C++, ONNX, TensorRT, CUDA, and embedded GPU workflows.
  • Advance robot perception R&D. Explore emerging techniques in visual SLAM, visual odometry, depth estimation, open vocabulary detection and segmentation, multimodal perception, and simulation to identify practical improvements for Simbe's platform.
  • Develop system benchmarks. Define and maintain benchmarks that connect model quality to robot outcomes, including latency, compute, uptime, navigation success, localization robustness, false positives, false negatives, and customer facing accuracy.
  • Debug field failures end to end. Use logs, robot data, imagery, maps, telemetry, and model outputs to diagnose perception and autonomy issues observed in production stores.
  • Shape technical direction. Provide technical leadership, code reviews, architecture guidance, and mentorship for engineers working at the intersection of AI and robotics.

Required Qualifications
  • 7+ years of experience in robotic perception, computer vision, machine learning, autonomous systems, or related production robotics work.
  • Strong proficiency in Python and C++ in Linux based development environments.
  • Hands-on experience with ROS and/or ROS2, robot sensor pipelines, and deployed robotics systems.
  • Experience with PyTorch, TensorFlow, ONNX, TensorRT, CUDA, or similar model training and inference tools.
  • Demonstrated track record of adoption of LLM assisted and agentic programming techniques
  • Strong understanding of object detection, segmentation, depth estimation, sensor fusion, calibration, visual localization, or SLAM.
  • Experience deploying real time AI models on embedded systems, edge GPUs, robots, or other constrained hardware.
  • Strong debugging, benchmarking, and systems thinking skills, with the ability to connect low level technical issues to product and customer outcomes.
  • Ability to collaborate across Computer Vision, Robotics Software, Product, Customer Success, Field Operations, and executive stakeholders.

Bonus Qualifications
  • Experience with AMRs, autonomous vehicles, drones, warehouse robotics, industrial automation, or service robots.
  • Experience with stereo cameras, RGBD cameras, LiDAR, fisheye cameras, depth sensors, or multi camera calibration.
  • Knowledge of visual SLAM, visual odometry, map alignment, path planning, or localization in dynamic indoor environments.
  • Experience with NVIDIA Isaac Sim, Isaac ROS, Omniverse, Jetson/Orin, or GPU accelerated robotics pipelines.
  • Experience taking research prototypes into production robotics software.
  • Experience building tools that help teams evaluate, debug, and improve robot perception at fleet scale.

$190,000 - $240,000 a year
The base salary offered is based on market location and may vary depending on individualized factors for job candidates, including job related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include equity compensation, in addition to a full range of medical, financial, and other benefits. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
Simbe Values: R. E. T. A. I. L.
  • Result Driven - We are customer centric and results driven. We strive to create immense value for our team, partners, customers, and investors.
  • Empathetic - We are sensitive and mindful. We support each other in challenging times, both professionally and personally.
  • Transparent - We value open communication internally, and with our partners and customers. We are receptive to feedback.
  • Agile - We are eager to learn and adapt quickly to changes and customer needs.
  • Innovative - We are bold and innovative, with an intense focus on product design, user experience, and customer value.
  • Leaders - We strive for excellence. We are accountable, the best at what we do, and leaders in our field.

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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