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Computer Vision Robotic Jobs (NOW HIRING)

Meta

Computer Vision Engineer, Reality Labs

Redmond, WA · On-site

$154K - $217K/yr

Camera Calibration, Online Calibration, State Estimation, Sensor Fusion, 3D Reconstruction, Camera Pose Estimation, Structure-From-Motion • MS degree in Computer Science, Computer Vision, Robotics ...

Meta

Computer Vision Engineer, Reality Labs

Redmond, WA · On-site

$154K/yr

MS degree in Computer Science, Computer Vision, Robotics or a related technical field Preferred Qualifications: * Publication track record at conferences such as SIGGRAPH, CVPR, NIPS, ECCV, ICCV ...

Molg

Computer Vision Engineer

Sterling, VA · On-site

$110K - $130K/yr

Using robotics, computational design, and AI, our systems turn today's e-waste into resilient, data-driven supply chains--and change how electronics are made in the first place. IN THIS ROLE YOU WILL:

Sapios

Computer Vision Engineer

Sacramento, CA · On-site

$121K - $143K/yr

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 ...

Toggle Robotics

3D Computer Vision Engineer

$114K - $134K/yr

Toggle Robotics is a venture-backed robotics and software company focused on building technology for the construction and fabrication industries. They are seeking a 3D Computer Vision Engineer to ...

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 ...

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Computer Vision Robotic information

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How much do computer vision robotic jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for computer vision robotic in the United States is $28.24, according to ZipRecruiter salary data. Most workers in this role earn between $22.12 and $32.93 per hour, depending on experience, location, and employer.

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

Research Robotics/Computer Vision Engineer

San Mateo, CA

Skild AI
See more jobs at Skild AIexternal

Full-time

Re-posted 5 days ago

Key responsibilities

  • implement perception on robots to enable safe exploration and navigation in real world environments

  • reconstruct scenes in 3D using monocular images, estimate camera poses, and optimize 3D SLAM

  • develop software tools for robot localization using visual inputs and build infrastructure for streaming hand movement data

Job description

Position Overview

Skild AI, Inc. seeks a Research Robotics/Computer Vision Engineer in San Mateo, CA responsible for developing perceptive, intelligent, and adaptable robotic systems capable of learning and performing tasks with a focus on 3D computer vision and autonomous navigation. This includes designing perception pipelines, optimizing SLAM systems, and creating learning-based algorithms for robust robotic control in real-world environments. Specific duties include: (i) implementing perception on robots to enable safe exploration and navigation in real world environments in collaboration with the locomotion team; (ii) reconstructing an entire scene in 3D using monocular images, estimating camera poses, optimizing and streamlining 3D SLAM; (iii) developing a set of software tools for localization of a robot using only visual inputs; (iv) building robust software to enable life-long mapping on a robot via optimally merged pose-graphs; (v) visual servoing wrt objects detected/ tracked to control robot motion; (vi) researching novel techniques to detect and cater to glare during robotic mapping and navigation; (vii) building infrastructure and pipeline and collecting data to enable streaming of hand movements for training robot manipulation tasks such as pick and place; and (viii) maintaining a camera and 2D lidar based navigation stack, including fixing bugs, adding new customer feature requests, and ensuring successful deployments.

Responsibilities
  • (i) implementing perception on robots to enable safe exploration and navigation in real world environments in collaboration with the locomotion team
  • (ii) reconstructing an entire scene in 3D using monocular images, estimating camera poses, optimizing and streamlining 3D SLAM
  • (iii) developing a set of software tools for localization of a robot using only visual inputs
  • (iv) building robust software to enable life-long mapping on a robot via optimally merged pose-graphs
  • (v) visual servoing wrt objects detected/ tracked to control robot motion
  • (vi) researching novel techniques to detect and cater to glare during robotic mapping and navigation
  • (vii) building infrastructure and pipeline and collecting data to enable streaming of hand movements for training robot manipulation tasks such as pick and place
  • (viii) maintaining a camera and 2D lidar based navigation stack, including fixing bugs, adding new customer feature requests, and ensuring successful deployments.
Minimum Requirements
  • Must have a master's degree (or foreign equivalent) in Computer Vision, Robotics, or a directly related discipline and one (1) year of experience in Machine Learning or Data Science.
  • Must have any experience with or knowledge of each of the following: (i) reconstructing 3D scenes using monocular videos, meshes, pointclouds, Neural Radiance Fields, and Gaussian Splats; (ii) reconstructing rigid and articulated hand-held objects from videos, including inferring the time-varying hand configurations and relative poses of the objects; (iii) using generative computer vision, including diffusion models to guide reconstruction, or addressing occlusion and limited viewpoint variations in videos via data driven priors; (iv) optimizing attention-based models for perception used in autonomous navigation systems; (v) using Neural Architectural Search (NAS) to find better perception backbone architectures with higher accuracies and lower latencies; and (vi) cloud-based training in AWS, Google cloud, or Vetex AI and optimized data loading for cloud based distributed training for deep learning workloads (e.g. Pytorch dataloader, or sharding) with hardware-in-loop.
  • Experience can be concurrent.

Apply online at skild.ai/career.

Apply