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Robotics Perception Engineer Jobs in Berkeley, CA

Human Computer Lab

Perception Engineer

San Francisco, CA · On-site

Our first robot, LeLamp, explores a new category of consumer robotics where everyday objects become ... What to Expect We are looking for a hands-on Perception Engineer who can build the system that ...

New

Waabi

Senior / Staff Perception Engineer

San Francisco, CA · On-site

$158K - $269K/yr

To learn more visit: www.waabi.ai As a Senior Perception Engineer, you will be at the forefront of ... robotics. - Experience in working with platform teams and collaborating with research teams to ...

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All JobsRobotics Perception Engineer JobsRobotics Perception Engineer Jobs in Berkeley, CA

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 Aug 4, 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 is a robotics perception engineer?

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?

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:
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Robotics Perception Engineer jobs near you

Robotics Perception Engineer Intern

Gritt

South San Francisco, CA • On-site

Full-time

Posted 13 days ago

Job description

Gritt is an intelligent system that combines robotics and AI to build the infrastructure that pulls society forward. Gritt deploys via simple attachments to common equipment found on construction sites and autonomously performs labor-intensive tasks, verification, and planning. Gritt systems are already building critical infrastructure in the harshest outdoor environments, starting with large-scale solar. The founding team includes experts in robotics and AI from Carnegie Mellon, Stanford, and MIT. Gritt is backed by Obvious Ventures, Union Square Ventures, First Round Capital, Climactic, Congruent Ventures, and other leading firms.
Role: Robotics Perception Engineer Intern
Location: SF Bay Area (in-person)
About Internships at Gritt
Our internships are scoped projects: you own a defined deliverable end-to-end, work with a dedicated mentor, and demo your work to the whole team. Many interns receive return or full-time offers. This will be an internship for one of two durations: 3 months, or 6 months.
We offer competitive salaries, and the opportunity to work on a mission with tremendous climate impact.
What you'll get to work on
  • Develop and evaluate perception components on real robot data.
  • Build datasets and evaluation harnesses; run experiments and report results.
  • Integrate your module into the live robot stack and demo it.
  • Get hands-on with pose estimation, VLMs, VLAs, 3D scene reconstruction, object detection, and multimodal learning.
  • Test your work on real robots at the office.
  • Opportunity to publish (for PhD interns).
  • Attend Tier-1 industry conferences.

Example projects could be anything from building a robust 6DOF pose estimation stack that can work in harsh degraded outdoor conditions, to shipping a 3D object detection module for our manipulation stack.
What we look for
  • Pursuing MS/PhD in CS, EE, Robotics, or related field.
  • Strong Python skills; experience with PyTorch and computer vision fundamentals.
  • Evidence of applied work: projects, competitions, publications, or industry robotics experience.
  • Should be comfortable taking ownership of tasks with light supervision.
  • Must have excellent problem-solving skills.
  • Legally authorized to do an internship in the United States for either 3 months or 6 months.
Nice to have
  • Experience with sensor drivers, CUDA, 3D geometry, or multi-sensor fusion.

Apply