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Computer Vision Robotic Engineer Jobs (NOW HIRING)

Sapios

Computer Vision Engineer

Sacramento, CA · On-site

$121K - $143K/yr

Our technology also has exciting applications in insurance, healthcare, and robotics - and we're just getting started. Role: Computer Vision Engineer Location: USA only. We're looking for a ...

MOLG Inc.

Computer Vision Engineer

Sterling, VA

$110K - $130K/yr

Molg builds robotics microfactories and software to autonomously assemble and disassemble complex ... As a Computer Vision Engineer, you will be responsible for: * Continuous design, development ...

Eka

Machine Learning / Computer Vision Engineer

Boston, MA · On-site

$121K - $142K/yr

Eka Robotics Eka Robotics is on a mission to build intelligence for the physical world - robots ... Build computer vision and visual representation learning pipelines for robotic manipulation ...

Meta

Computer Vision Engineer, Reality Labs

Redmond, WA · On-site

$154K - $217K/yr

... for Robotics technologies and systems • Experience engineering in C++ • Prototyping and ... Computer Vision or Perception for Robotics: Camera Calibration, Online Calibration, State ...

Clarapath

Computer Vision Engineer

Hawthorne, NY · On-site

$130K - $180K/yr

Computer Vision Engineer LOCATION: Hawthorne, NY (on-site) TYPE : Full time, regular COMPENSATION ... At Clarapath, we bring together experts across engineering, data science, robotics, healthcare ...

New

Clarapath Inc

Computer Vision Engineer

Hawthorne, NY

$130K - $180K/yr

Computer Vision Engineer LOCATION: Hawthorne, NY (on-site) TYPE : Full time, regular COMPENSATION ... At Clarapath, we bring together experts across engineering, data science, robotics, healthcare ...

New

Molg

Computer Vision Engineer

Sterling, VA · On-site

$110K - $130K/yr

Join a cross-functional team of robotics, software, and mechanical engineers to build the computer vision and perception systems that powers Molg's robotic microfactories. As a Computer Vision ...

Meta

Computer Vision Engineer

Burlingame, CA · On-site

$121K/yr

Computer Vision Engineer Responsibilities: * Design and develop novel calibration algorithms for ... M.S. or Ph.D. degree in Computer Science, Computer Vision, Computer Graphics, Robotics, or a ...

Meta

Computer Vision Engineer

Sunnyvale, CA

$121K/yr

Computer Vision Engineer Responsibilities: * Design and develop novel calibration algorithms for ... M.S. or Ph.D. degree in Computer Science, Computer Vision, Computer Graphics, Robotics, or a ...

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Computer Vision Robotic Engineer information

See salary details

$29K

$105.6K

$169K

How much do computer vision robotic engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for computer vision robotic 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 does a computer vision robotic engineer do?

A Computer Vision Robotic Engineer develops algorithms and systems that enable robots to interpret and understand visual information from cameras and sensors. They work on tasks such as object detection, image classification, and scene recognition to help robots navigate and interact with their environment. This role involves programming, machine learning, and integrating hardware with software to create autonomous robotic systems. Computer Vision Robotic Engineers are often involved in industries like manufacturing, healthcare, and autonomous vehicles where robotic perception is crucial.

What are the key skills and qualifications needed to thrive as a computer vision robotic engineer, and why are they important?

To excel as a Computer Vision Robotic Engineer, you need a strong background in computer science, robotics, mathematics, and experience with machine learning and image processing, often supported by a degree in a related field. Proficiency in programming languages such as Python or C++, familiarity with frameworks like OpenCV, ROS (Robot Operating System), and experience with deep learning libraries (TensorFlow, PyTorch) are typically required. Analytical thinking, problem-solving, and effective teamwork are vital soft skills that enable innovation and seamless integration of computer vision solutions into robotic systems. These competencies are essential for developing robust, cutting-edge robotic applications that can interpret and interact with complex visual environments.

What are some common challenges faced by computer vision robotic engineers when integrating perception systems with robotic hardware?

Computer Vision Robotic Engineers often encounter challenges such as managing sensor noise, dealing with varying lighting conditions, and ensuring real-time performance when processing visual data. Integrating camera systems with robotic hardware requires careful calibration and synchronization to ensure accurate perception and control. Additionally, engineers must collaborate closely with software developers and mechanical engineers to troubleshoot issues and optimize the entire system for reliability and efficiency in real-world environments.

What are popular job titles related to Computer Vision Robotic Engineer jobs?

For Computer Vision Robotic Engineer jobs, the most frequently searched job titles are:

Infographic showing various Computer Vision Robotic Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $105,605 per year, or $50.8 per hour.

Computer Vision Engineer

Sacramento, CA • On-site

Sapios
See more jobs at Sapiosexternal

$121K - $143K/yr

Other

Medical

Posted 10 days ago

Job description

Sapios is building the future of automated driver evaluation systems. Our flagship invention – the Automated Road Test System (ARTS) – transforms an iPhone into a robotic driving examiner using computer vision, AI, and robotics. With deployments and paid pilots already underway with the Department of Motor Vehicles across US and Sweden, QTPIE is on a mission to make road testing safer, fairer, and more data-driven.


Our technology also has exciting applications in insurance, healthcare, and robotics – and we’re just getting started.


Role: Computer Vision Engineer

Location: USA only.


We’re looking for a passionate Computer Vision Engineer to join our core engineering team. You’ll work on algorithms that power the ARTS platform: from object detection and scene understanding to sensor fusion and behavioral analysis. Your work will directly impact how millions of drivers are tested and evaluated globally.


What You’ll Do


  • Design, implement, and optimize computer vision pipelines (object detection, lane detection, sign recognition, behavior recognition).
  • Develop methods to fuse data from multiple sensors (video, IMU, GPS, LiDAR).
  • Contribute to real-time inference systems on mobile devices (iPhone + GPU acceleration).
  • Collaborate with AI researchers and robotics engineers to integrate vision into the ARTS platform.
  • Work with large-scale datasets of driving behavior and create scalable training/evaluation pipelines.
  • Publish and present work internally and externally (patents, research collaborations).


What We’re Looking For


  • Strong background in computer vision, deep learning, or robotics.
  • Hands-on experience with PyTorch, TensorFlow, or ONNX.
  • Experience with object detection/tracking (YOLO, DETR, etc.) and scene understanding.
  • Solid programming skills in Python (C++/Swift is a plus).
  • Experience with real-time systems or edge deployment (CoreML, TFLite, ONNX Runtime, NVIDIA GPUs).
  • A problem-solver mindset: comfortable working on ambiguous, high-impact projects.


Bonus Points For


  • Experience in autonomous driving, ADAS, or driver monitoring systems.
  • Familiarity with sensor fusion (IMU, GPS, LiDAR + video).
  • Experience deploying ML pipelines to cloud environments (GCP, AWS, Azure).
  • Contributions to open-source projects in CV/ML.


Why Join Us?


  • Be part of a once-in-a-generation innovation redefining road safety.
  • Work in a fast-growing startup with traction across the US and Europe.
  • Collaborate with a team of AI, robotics, and medical innovators.
  • Flexible hybrid/remote setup.
  • Competitive salary + equity options.


How to Apply


Send your CV, portfolio/GitHub, and a short note about why you’d like to join QTPIE to ravi@sapios.io.


Sapios is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive environment for all employees.

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