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Robotics Perception Jobs (NOW HIRING)

3B Staffing LLC

Robotics Data Engineer

Warren, MI · On-site

$107K - $128K/yr

... perception, grasping, or manipulation AI. • Familiarity with robotics simulation platforms such as Isaac Sim and synthetic data generation. • Experience with data labeling tools and annotation ...

Radical AI

Robotics Engineer

New York, NY · On-site

You will specialize in robotics, automation, and perception software development. Your experience and vision will shape both the physical and systematic implementation of lab automation. You will ...

Radical AI

Robotics Engineer

New York, NY · On-site

You will specialize in robotics, automation, and perception software development. Your experience and vision will shape both the physical and systematic implementation of lab automation. You will ...

Radical AI

Robotics Engineer

New York, NY

You will specialize in robotics, automation, and perception software development. Your experience and vision will shape both the physical and systematic implementation of lab automation. You will ...

JPL

Robotics Technologist III

Pasadena, CA · On-site

Support real-time perception pipelines for localization, mapping, hazard detection, and motion estimation on planetary robots Required Qualifications * Bachelor's degree in Computer Science ...

JPL

Robotics Technologist III

Pasadena, TX · On-site

Support real‐time perception pipelines for localization, mapping, hazard detection, and motion estimation on planetary robots Required Qualifications * Bachelor's degree in Computer Science ...

Optimal Inc.

Robotics software Engineer

Warren, MI · On-site

... robotic perception, sensor integration, and real-world production part handling Collaborate with cross-functional R&D and engineering teams on advanced robotics initiatives Maintain technical ...

Optimal Inc.

Robotics software Engineer

Warren, MI · On-site

... robotic perception, sensor integration, and real-world production part handling Collaborate with cross-functional R&D and engineering teams on advanced robotics initiatives Maintain technical ...

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How much do robotics perception jobs pay per year?

As of Jun 6, 2026, the average yearly pay for robotics perception in the United States is $96,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $102,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in Robotics Perception roles when integrating perception systems with real-world robotics applications?

A key challenge in Robotics Perception is ensuring that perception algorithms—such as object detection, mapping, and localization—operate reliably in dynamic, unstructured environments. Professionals often need to address sensor noise, variable lighting conditions, and occlusions that can impact data quality. Integrating perception systems with robotic hardware requires close collaboration with mechanical, software, and controls engineers to ensure real-time performance and robustness. Adapting solutions to different platforms and continuously validating them in field tests is also an essential, ongoing responsibility.

What is robotics perception?

Robotics perception refers to the ability of robots to interpret and understand their environment using sensors such as cameras, LIDAR, and radar. This field combines elements of computer vision, machine learning, and sensor fusion to help robots identify objects, navigate spaces, and interact with the world safely and effectively. Robotics perception is crucial for autonomous systems like self-driving cars, drones, and industrial robots, enabling them to make decisions based on real-time data from their surroundings.

What is the difference between Robotics Perception vs Robotics Software Engineer?

AspectRobotics PerceptionRobotics Software Engineer
Required CredentialsBachelor's or Master's in Robotics, Computer Science, or related fields; experience with perception algorithmsBachelor's or Master's in Computer Science, Software Engineering, or related; programming skills in C++, Python
Work EnvironmentResearch labs, R&D departments, industry settings focused on sensor data processingDevelopment teams, industrial or research settings, focusing on software development for robots
Industry UsageUsed in autonomous vehicles, drones, and robotic systems for environment understandingDevelops the software that enables robotic functionalities, including perception modules

Robotics Perception specialists focus on developing algorithms that interpret sensor data to understand the environment, while Robotics Software Engineers build the overall software systems that incorporate perception modules. Both roles often collaborate but differ in their core focus and skill sets.

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 a solid background in computer vision, machine learning, and robotics, typically supported by a degree in computer science, engineering, or a related field. Experience with tools like ROS (Robot Operating System), OpenCV, and programming languages such as Python or C++ is essential, along with familiarity with sensor technologies and perception algorithms. Strong problem-solving skills, teamwork, and clear communication are crucial soft skills for addressing complex challenges and collaborating effectively. These abilities ensure robust perception systems, enabling robots to interpret and interact safely and efficiently with their environments.
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What cities are hiring for Robotics Perception jobs? Cities with the most Robotics Perception job openings:
What states have the most Robotics Perception jobs? States with the most job openings for Robotics Perception jobs include:
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Robotics Perception jobs near you
Infographic showing various Robotics Perception job openings in the United States as of May 2026, with employment types broken down into 51% Full Time, 46% Part Time, and 3% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $96,000 per year, or $46.2 per hour.
Robot Perception Engineer - Smart Robotics

Robot Perception Engineer - Smart Robotics

Bright Machines

San Francisco, CA • On-site

$160K - $190K/yr

Full-time

Posted 4 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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