ZipRecruiter

Log In

1

Robotics Perception Engineer Jobs in Berkeley, CA

Clera

ML Engineer - Robotics

San Francisco, CA · On-site

$220K - $300K/yr

... Engineer - Robotics to join their growing team. You will work at the intersection of machine ... Develop and optimize ML models for perception, motion planning, and control. * Build computer ...

Clera

ML Engineer - Robotics

San Francisco, CA · On-site

$220K - $300K/yr

... Engineer - Robotics to join their growing team. You will work at the intersection of machine ... Develop and optimize ML models for perception, motion planning, and control. * Build computer ...

Skild AI

Robotics Engineer, Manipulation

San Mateo, CA · On-site

$100K - $300K/yr

Position Overview We are seeking a versatile Robotics Engineer to develop and implement software ... The ideal candidate will have experience in controls, perception, and planning. You will be working ...

next page

Showing results 1-20

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 Jul 14, 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:
Robotics Perception Engineer jobs near you

Robot Learning Engineer -- Planning & Manipulation

Anyware Robotics

Fremont, CA • On-site

Full-time

Re-posted 5 days ago

Job description

Job Summary:
Anyware Robotics builds general-purpose mobile manipulator robots for industrial applications. We are looking for a Robot Learning Engineer to advance the planning and manipulation capabilities within AnywareOS, focusing on improving robot manipulation policies and collaborating with engineers to enhance operational performance.
Responsibilities:
• Improve learned policies for robot manipulation that augment and extend our production system's performance envelope
• Contribute to our manipulation capabilities: data collection from deployed robots, physics simulation environments, policy training, and deployment validation
• Use production multimodal data — rich sensor streams from real industrial operations across logistics and manufacturing
• Collaborate with perception and controls engineers to close the loop between scene understanding, navigation, and other capabilities inside AnywareOS
• Ship models to production — your work will run on robots at customer sites across multiple industries, not just on a sim bench
Qualifications:
Required:
• MS/PhD in ML, robotics, or related field (or equivalent industry experience shipping learned robotic behaviors)
• Strong applied ML fundamentals: policy learning (imitation learning, RL, or diffusion policies), neural network architecture design, training infrastructure
• Experience with robot learning for manipulation or motion: grasp synthesis, motion generation, trajectory optimization with learned components, or sim-to-real transfer
• Proficiency in Python and ML frameworks; comfortable with C++ for deployment-critical paths
• Understanding of classical planning (rule-based or optimization-based planning, task-space control)
• Demonstrated ability to go from research idea → working system
Preferred:
• Prior work on force/compliance control or contact-rich manipulation
• Familiarity with ROS2 and real robot deployment pipelines
• Experience with sim-to-real transfer at scale (domain randomization, system identification)
• Background in warehouse/logistics robotics or unstructured environment manipulation
• Publications at RSS, CoRL, ICRA, or NeurIPS robotics workshops
Company:
Anyware Robotics offers AI-powered mobile robots that autonomously unload boxes in containers and trucks. Founded in 2023, the company is headquartered in Fremont, USA, with a team of 11-50 employees. The company is currently Early Stage.

Apply