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Robotics Perception Engineer Jobs (NOW HIRING)

Aurelius Systems

Perception Engineer

San Francisco, CA · On-site

This role bridges data science, software engineering, and robotics to deliver reliable, highthroughput perception performance on edge hardware. What You'll Own: * Design, train, validate and fine ...

Actalent

Software Perception Engineer

Pittsburgh, PA

$50 - $62/hr

Software Perception Engineer Description Responsible for designing, implementing, and testing ... Have a working knowledge of mobile robotics perception for autonomy or advanced operator assist ...

Aurelius Systems

Perception Engineer

San Francisco, CA · On-site

$130K - $170K/yr

This role bridges data science, software engineering, and robotics to deliver reliable, high‑throughput perception performance on edge hardware. What You'll Own: * Design, train, validate and fine ...

Autonomous Solutions

Perception Engineer III

Mendon, UT · On-site

$100K - $117K/yr

Our Mission is to help you reach your potential through innovative robotic solutions. We pride ... Perception Engineers at ASI are responsible for designing, implementing, and deploying real-time ...

TerraFirma Robotics

Perception Engineer

Austin, TX · On-site

Founded by former SpaceX engineers and backed by Bain Capital Ventures, TerraFirma is automating ... Integrate multi-spectral and TOF sensors into robotic systems with real-time processing constraints

ATI

Lead Perception Engineer

Woburn, MA · On-site

$112K - $147K/yr

Our team combines deep robotics expertise with real world deployment, moving fast from prototype to ... If you are a perception or computer vision engineer with a passion for solving complex automation ...

Autonomous Solutions

Perception Engineer III

Mendon, UT · On-site

$100K - $117K/yr

Our Mission is to help you reach your potential through innovative robotic solutions. We pride ... Perception Engineers at ASI are responsible for designing, implementing, and deploying real-time ...

Dexory

Perception Engineer

Verda, LA · On-site

Perception Engineer / LiDAR / Python / C++ / Computer Vision / Location: Wallingford - Oxfordshire ... You do not need to have worked in robotics or logistics before. What matters is that you are strong ...

ATI

Lead Perception Engineer

Woburn, MA · On-site

$112K - $147K/yr

Our team combines deep robotics expertise with real world deployment, moving fast from prototype to ... If you are a perception or computer vision engineer with a passion for solving complex automation ...

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Robotics Perception Engineer information

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$29K

$105.6K

$169K

How much do robotics perception engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for robotics perception engineer in the United States is $105,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $127,000.00 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.
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Robotics Perception Engineer jobs near you

Senior Robotic AI-Perception Engineer - Only W2

Saransh Inc

Warren, MI • On-site

$98K - $134K/yr

Contractor

Posted 8 days ago

Job description

Role: Senior Robotic AI-Perception Engineer
Location: Warren, MI (Onsite from Day 1)
Job Type: W2 Contract
 
Main Skills: Senior Robotic AI-Perception Engineer (AI/ML, perception, computer vision, Python, TensorFlow and/or PyTorch)
 
Key Responsibilities:
· Design, develop, and implement perception algorithms for segmentation, scene understanding, object detection and localization, classification, and dynamic tracking.
· Integrate AI and computer vision algorithms with ROS (Robot Operating System) for real-time deployment on autonomous robots (e.g., mobile manipulators).
· Design and maintain cloud-based pipelines for data collection, annotation, preprocessing, model training, and evaluation.
· Collaborate with hardware engineers, software engineers, and domain experts to integrate with mapping, motion planning, and controls.
· Develop offline tools to test and validate perception models in both simulation and real-world environments.
· Stay updated with emerging technologies and best practices in robotic perception; lead and participate in academic and industrial collaborations.
· Generate intellectual property, document results, and publish papers.
 
Required Qualifications:
· Passion for robotics and a strong desire to accelerate the application of robotics with AI.
· Master’s or Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field (or Bachelor’s degree with exceptional track record).
· 3+ years of experience developing and deploying AI/ML, perception, and computer vision (e.g., mono and stereo cameras, RGB-D, event camera, LiDAR) on robotic systems.
· Proficiency in Python or C++ with hands-on experience in deep learning frameworks such as TensorFlow and PyTorch.
· Solid understanding of robotics fundamentals, perception and navigation methods (e.g., SLAM, planning), and their typical strengths and shortcomings.
· Consistently seeks opportunities and embraces challenges to drive self-growth and improvement.
 
Preferred Qualifications:
· Ph.D. in Computer Science, Machine Learning, Robotics, Computer Vision, or a related research field.
· Hands-on robotics experience, such as autonomous vehicles (AV), ADAS, or industrial automation systems in manufacturing environments.
· Experience with robotics frameworks such as ROS/ROS2 (e.g., Nav2, MoveIt).
· Understanding of CI/CD pipelines and modern software development practices.