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Robot Perception Jobs (NOW HIRING)

Tutor Intelligence

Robot Perception Engineer

Watertown, MA · On-site

$125K - $180K/yr

Design and implement perception modules used in real-world robotic systems * Own projects end-to-end, from early concept and prototyping through production deployment * Work closely with Engineering ...

Tutor Intelligence

Robot Perception Engineer

Watertown, MA · On-site

$125K - $180K/yr

Design and implement perception modules used in real-world robotic systems * Own projects end-to-end, from early concept and prototyping through production deployment * Work closely with Engineering ...

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 ...

FieldAI

Senior Robot Perception Engineer

Irvine, CA · Remote

$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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How much do robot perception jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for robot perception in the United States is $28.24, according to ZipRecruiter salary data. Most workers in this role earn between $22.12 and $32.93 per hour, depending on experience, location, and employer.

What is robot perception?

Robot perception refers to the ability of robots to interpret and understand their environment using sensors and algorithms. This field involves processing data from cameras, lidar, radar, and other sensors to recognize objects, map surroundings, and make decisions. Effective robot perception is essential for tasks like navigation, object manipulation, and autonomous operation in dynamic environments. It combines elements of computer vision, machine learning, and sensor fusion to enable robots to function reliably and safely.

What are the key skills and qualifications needed to thrive in a Robot Perception role, and why are they important?

To excel in Robot Perception, you need a strong background in computer vision, machine learning, and sensor data processing, typically backed by a degree in computer science, robotics, or a related field. Familiarity with tools like ROS (Robot Operating System), OpenCV, PCL, and deep learning frameworks such as TensorFlow or PyTorch, as well as experience with LiDAR and camera systems, is highly valued. Creative problem-solving, adaptability, and effective teamwork are crucial soft skills for addressing complex perception challenges in dynamic environments. These competencies enable the development of robust perception systems, which are essential for safe and autonomous robotic operation.

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

AspectRobot PerceptionRobot Software Engineer
Required CredentialsBachelor's or Master's in Robotics, Computer Science, or related fields; knowledge of perception algorithmsBachelor's or Master's in Software Engineering, Computer Science; programming skills in C++, Python
Work EnvironmentResearch labs, robotics companies, industrial settings focusing on sensor data processingSoftware development teams, robotics companies, embedded systems environments
Industry UsageUsed in autonomous vehicles, service robots, industrial automation for sensor data interpretationDevelops robot control software, integrates perception modules, and ensures system functionality

Robot Perception specialists focus on processing sensor data to enable robots to understand their environment, while Robot Software Engineers develop the software systems that control robot functions, including perception modules. Both roles often collaborate but have distinct focuses within robotics development.

What are some common challenges faced by professionals in Robot Perception roles, and how can they be addressed?

Professionals in Robot Perception roles often encounter challenges such as dealing with noisy sensor data, ensuring real-time processing, and integrating data from multiple sources to create an accurate understanding of the environment. Addressing these requires strong skills in sensor fusion, robust algorithm design, and close collaboration with robotics engineers and software developers. Continuous learning and staying updated with advancements in machine learning and computer vision are also key to overcoming these challenges and contributing effectively to the team's goals.
More about Robot Perception jobs
What cities are hiring for Robot Perception jobs? Cities with the most Robot Perception job openings:
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Robot Perception jobs near you
Infographic showing various Robot Perception job openings in the United States as of May 2026, with employment types broken down into 97% Full Time, 1% Part Time, 1% Contract, and 1% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $58,744 per year, or $28.2 per hour.

Machine Learning Engineer - Robot Perception

Maven Robotics

San Francisco, CA • On-site

Full-time

Posted 6 days ago

Job description

Company Overview
Maven Robotics is building the world's leading general-purpose AI robots.
We are currently operating in stealth and are growing the world's best team in AI robotics. We are looking for self-starters that are the world's best in their field, who can innovate from a deep understanding of the fundamentals, and who share our values of unwavering truth seeking and integrity, humility, curiosity, and relentless determination.
Role Description
We are looking to recruit an exceptional Machine Learning Engineer - Robot Perception to design, implement, test, and deploy robot perception algorithms that power our robots' ability to understand and interact with the world.
In this role you will:
  • Develop, train, and deploy ML-based perception algorithms for object detection, pose estimation, tracking, and scene understanding.
  • Integrate sensor fusion techniques using cameras, depth sensors, IMUs, and tactile feedback.
  • Optimize real-time perception pipelines for low-latency and robust performance in dynamic environments.
  • Work closely with hardware engineers to design sensor configurations and optimize perception models for onboard deployment.
  • Contribute to our broader AI and autonomy stack, ensuring seamless integration with reasoning, manipulation, planning and control.
  • Collaborate across disciplines to ensure seamless integration of ML models and provide technical mentorship to junior engineers.
Qualifications
Must-have:
  • MS or PhD in machine learning, computer science, robotics, or a related field.
  • Strong background in computer vision, deep learning, and sensor fusion.
  • Proficiency in Python and C++, with experience in frameworks like PyTorch, TensorFlow, OpenCV, and ROS.
  • Hands-on experience with real-world robotics perception systems (e.g., SLAM, 3D reconstruction, multimodal perception).
  • Experience working with hardware, including setting up and calibrating cameras, LiDAR, and other sensors.
  • Experience with data collection, preprocessing, and management in the context of training ML models.
  • Self-starter attitude with strong ability to identify problems, prioritize them, then plan and execute working solutions.
  • Enthusiasm for working in a fast paced startup environment and eagerness to support the team on a variety of topics.

Nice-to-have:
  • Familiarity with robotic simulation environments (e.g., Gazebo, MuJoCo) and experience in sim-to-real transfer.
  • Experience in:
    • Developing models that can handle noisy, incomplete, or sparse data.
    • Deployment of ML models to edge devices for real-time inference (e.g., NVIDIA Jetson).
    • Accelerating ML training processes using GPU, TPU, or other HW accelerators.
    • General knowledge of robotics principles, including kinematics, dynamics, and control.

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