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Robotics Perception Engineer Jobs (NOW HIRING)

The Role As a Perception Engineer in the Robotics and Automation group at Radical AI, you will design, deploy, and scale robust vision-guided automation in fast-moving lab environments. Your ...

Perception Engineer

New York, NY · On-site

$175K - $225K/yr

The Role As a Perception Engineer in the Robotics and Automation group at Radical AI, you will design, deploy, and scale robust vision-guided automation in fast-moving lab environments. Your ...

Perception Engineer

New York, NY · On-site

$175K - $225K/yr

The Role As a Perception Engineer in the Robotics and Automation group at Radical AI, you will design, deploy, and scale robust vision-guided automation in fast-moving lab environments. Your ...

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 ...

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

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 ...

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 ...

Senior Perception Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Chef Robotics is accelerating the deployment of intelligent machines in the physical world ... As a Perception Engineer, you will own the full stack of how our robots see and understand the ...

Perception Engineer Department: Engineering Report to: VP of Software Engineering Who We Are ... Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related ...

Perception Engineer Department: Engineering Report to: VP of Software Engineering Who We Are ... Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related ...

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Robotics Perception Engineer information

See salary details

$29K

$105.6K

$169K

How much do robotics perception engineer jobs pay per year?

As of Jul 6, 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.
More about Robotics Perception Engineer jobs
What cities are hiring for Robotics Perception Engineer jobs? Cities with the most Robotics Perception Engineer job openings:
What states have the most Robotics Perception Engineer jobs? States with the most job openings for Robotics Perception Engineer jobs include:
Infographic showing various Robotics Perception Engineer job openings in the United States as of June 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $105,605 per year, or $50.8 per hour.
Robot Perception Engineer - Smart Robotics

Robot Perception Engineer - Smart Robotics

Bright Machines

San Francisco, CA

$160K - $190K/yr

Full-time

Posted 5 days ago


Job description

RETHINK MANUFACTURING  
 
The only way to ignite change is to build the best team. At Bright Machines, we're innovators and experts in our craft who have joined together to create a new category of manufacturing that will help transform the industry. We believe software and data are the answer, thoughtfully applied to solve our customers' unique challenges. Through intelligent automation, we give factories newfound flexibility, scalability, and resilience. We deliver products to meet the demands of today while building a platform to take advantage of what comes next.  
 
Working with us means you'll have the opportunity to make lasting, impactful changes for our company and our customers. If you're ready to apply your exceptional skills to create the factory of the future, we'd love to speak with you.
ABOUT THE ROLE
As a Robot Perception Engineer on the Smart Robotics team at Bright Machines, you will be a hands-on contributor developing visual inspection solutions for our automation platform. You will work across the full pipeline-from algorithm development to production deployment-helping turn prototype inspection capabilities into reliable, high-throughput features that operate at scale across our automation lines. In this role, you will develop and optimize computer vision and deep learning models for defect detection, classification, and visual validation. You will collaborate closely with cross-functional teams, including Mechanical Engineering and Manufacturing Operations, to build end-to-end inspection solutions that deliver consistent, accurate results under real-world factory conditions.
WHAT YOU WILL BE DOING
  • Develop computer vision and deep learning algorithms for visual inspection (defect detection, classification, quality validation) and vision-based navigation (localization, visual servoing, pose estimation)

  • Design data capture strategies, apply augmentation techniques, and train/fine-tune models for inspection and navigation tasks

  • Build and maintain data pipelines and MLOps workflows for training, evaluation, model versioning, and production monitoring

  • Collaborate with Mechanical engineers to design illumination setups and optimize imaging configurations

  • Support model inference optimization for GPU deployment using CUDA, TensorRT, and related frameworks

  • Harden perception solutions for production reliability and work with field teams on deployment and customer rollouts

WHAT YOU WILL BRING
  • BS or MS in Computer Science, Electrical Engineering, Optics, or a related field with 1-3 years in computer vision/ML

  • Strong Python skills with experience in PyTorch or similar frameworks

  • Familiarity with image acquisition, camera systems, and sensor integration

  • Solid understanding of imaging systems (cameras, sensors, optics, lighting)

  • Familiarity with 3D geometry, pose estimation, and basic electronics for vision systems

IT WOULD BE GREAT IF YOU HAD
  • Experience with GPU inference optimization and industrial camera standards (e.g., GigE Vision, GenICam)

  • Familiarity with camera sensor characteristics (rolling vs global shutter, dynamic range, noise)

  • Exposure to C/C++, MLOps tools, or data annotation workflows

  • Experience with data annotation, labeling workflows, and active learning strategies

  • Familiarity with robotics/vision topics (SLAM, ROS2, sensor fusion) and manufacturing/quality systems

$160,000 - $190,000 a year

BE EMPOWERED TO CHANGE AN INDUSTRY 


Bright Machines is a next-generation, AI-enabled manufacturer focused on data center infrastructure assembly operations. Bright Machines uses its proprietary AI-based robotics and software to assemble AI infrastructure hardware products (i.e., data center servers) for hyperscalers and leading Original Equipment Manufacturers (OEMs). With its new AI factory, Bright Machines addresses increasing market demands for computing power due to the surge of AI and the U.S. national mandate to reshore manufacturing by building data center infrastructure at scale with higher quality and shorter time-to-market.
Bright Machines is headquartered in San Francisco, California, with an integration center in Guadalajara, Mexico. The company has been recognized as one of Forbes' AI 50, awarded "Best AI-based Solution for Manufacturing" by AI Breakthrough, named a "Technology Pioneer" by the World Economic Forum, and highlighted by several other leading technology and innovation organizations.

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