1

Robotics Perception Engineer Jobs in Berkeley, CA

The Robotics Engineer is responsible for driving the integration of robotics, electromechanical ... Holds an understanding of robotics technologies--covering sensing, robot perception, path planning ...

Robotics Manipulation Engineer

Fremont, CA ยท On-site

$208K - $289K/yr

The Robotics Engineer is responsible for driving the integration of robotics, electromechanical ... Holds an understanding of robotics technologies-covering sensing, robot perception, path planning ...

Software Engineer (iOS)

Sausalito, CA ยท On-site

$100K - $170K/yr

... our backend robotics, perception, and controls technology into a reliable, intuitive, and ... Collaborate cross-functionally with Perception Engineers and Controls Engineers to define and ...

next page

Showing results 1-20

Robotics Perception Engineer information

See Berkeley, CA salary details

$35.5K

$129.3K

$206.9K

How much do robotics perception engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for robotics perception engineer in Berkeley, CA is $129,307.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,200.00 and $155,500.00 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 Berkeley, CA? For Robotics Perception Engineer jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Robotics Perception Engineer jobs in Berkeley, CA look for? The top searched job categories for Robotics Perception Engineer jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Robotics Perception Engineer jobs? Cities near Berkeley, CA with the most Robotics Perception Engineer job openings:

Tactile Sensing & Dexterous Manipulation Engineer (Robotics)

Hyphen Connect Limited

San Francisco, CA โ€ข On-site

Full-time

Re-posted 21 days ago


Job description

We are seeking a skilled Tactile Sensing & Dexterous Manipulation Engineer (Robotics) to advance the capabilities of high-resolution tactile sensors and dexterous robotic systems. The successful candidate will work on cutting-edge projects to enhance robotic perception and manipulation, contributing to innovative solutions in the field of robotics.
Responsibilities:
  • Process data from high-resolution tactile sensors and force-torque arrays.
  • Implement slip-detection and compliant control algorithms.
  • Train multi-fingered grasping policies for unknown objects.
  • Collaborate with cross-functional teams to integrate tactile sensing solutions into robotic platforms.
  • Conduct experiments to validate the performance of tactile sensing and robotic manipulation systems.

Qualifications:
  • Deep knowledge of contact mechanics and robotic grasping.
  • Experience with tactile sensors (e.g., GelSight, BioTac).
  • Background in soft robotics or dexterous manipulation.
  • Proficiency in programming languages such as Python or C++.
  • Strong problem-solving skills and the ability to work independently.
  • Excellent communication and teamwork abilities.