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3D Robotics Jobs (NOW HIRING)

Optimal Inc.

Robotics Software Engineer

Warren, MI · On-site

You will own the end-to-end software lifecycle: from high-level architecture and simulation, down to real-time integration with industrial robot controllers, and 3D vision sensors. Key ...

Optimal Inc.

Robotics Software Engineer

Warren, MI · On-site

You will own the end-to-end software lifecycle: from high-level architecture and simulation, down to real-time integration with industrial robot controllers, and 3D vision sensors. Key ...

Brachium

Robotics Vision Engineer

San Ramon, CA · On-site

Robotics Vision Engineer Title Robotics Vision Engineer Company Description We are a 3-year-old ... Experience in 3D computer vision and video analytics algorithms, such as image segmentation, 3d ...

Brachium

Robotics Vision Engineer

San Ramon, CA · On-site

- Robotics Vision Engineer Title Robotics Vision Engineer Company Description We are a 3-year-old ... Experience in 3D computer vision and video analytics algorithms, such as image segmentation, 3d ...

Brachium

Robotics Vision Engineer

San Ramon, CA · On-site

- Robotics Vision Engineer Title Robotics Vision Engineer Company Description We are a 3-year-old ... Experience in 3D computer vision and video analytics algorithms, such as image segmentation, 3d ...

KBR

Robotics Engineer

Mountain View, CA

Robotics - Embedded systems - Real-time motion control - 3D environment modeling for obstacle avoidance and rendezvous - Robotic navigation - Fault diagnosis and recovery Computer vision - Cameras ...

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All Jobs3D Robotics Jobs

3D Robotics information

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$84K

$96K

$116.5K

How much do 3d robotics jobs pay per year?

As of Jul 12, 2026, the average yearly pay for 3d robotics 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 is the difference between 3D Robotics vs UAV Pilot?

Aspect3D RoboticsUAV Pilot
Required CertificationsPart 107 Remote Pilot Certificate, drone operation licensesPart 107 Remote Pilot Certificate, drone operation licenses
Work EnvironmentManufacturing, drone design, R&D, field testingField operations, aerial surveys, inspections
Industry UsageDrone manufacturing, technology developmentSurveying, agriculture, cinematography, inspections

Both 3D Robotics and UAV Pilot roles require similar certifications like the Part 107 Remote Pilot Certificate. While 3D Robotics focuses on drone design and manufacturing, UAV Pilots primarily operate drones in the field for various applications such as surveying or inspections. The roles often overlap in industry usage, but their core responsibilities differ: one develops drones, the other pilots them in real-world scenarios.

What are 3D Robotics?

3D Robotics refers to the design, development, and operation of robots that utilize three-dimensional movement and spatial awareness. These robots are often used in fields such as drone technology, automation, and manufacturing, where they can move in all three spatial axes (x, y, and z). Professionals in 3D robotics work on creating robots capable of tasks like aerial mapping, surveying, inspection, and automation. The field combines mechanical engineering, electronics, programming, and sometimes artificial intelligence to build innovative robotic systems.

What are some common challenges faced by professionals working in 3D robotics, and how can they be addressed?

Professionals in 3D robotics often encounter challenges such as integrating hardware and software components, ensuring precise calibration of sensors, and troubleshooting unexpected behaviors in robotic systems. Collaboration with multidisciplinary teams—including mechanical engineers, software developers, and designers—is essential to address these issues effectively. Staying current with industry advancements and adopting best practices for testing and validation can help overcome technical hurdles and contribute to successful project outcomes.

What are the key skills and qualifications needed to thrive as a 3D Robotics Engineer, and why are they important?

To thrive as a 3D Robotics Engineer, you generally need strong skills in mechanical and electrical engineering, programming, and robotics design, often supported by a degree in engineering or a related field. Familiarity with CAD software, robotics simulation tools, embedded systems, and possibly certifications in robotics or automation are essential. Critical thinking, problem-solving, and effective teamwork set standout professionals apart in this role. These skills are crucial for designing, building, and troubleshooting advanced robotic systems that function reliably in real-world applications.
More about 3D Robotics jobs
What cities are hiring for 3D Robotics jobs? Cities with the most 3D Robotics job openings:
What states have the most 3D Robotics jobs? States with the most job openings for 3D Robotics jobs include:
What job categories do people searching 3D Robotics jobs look for? The top searched job categories for 3D Robotics jobs are:
3D Robotics jobs near you
Infographic showing various 3D Robotics job openings in the United States as of July 2026, with employment types broken down into 69% Full Time, 23% Part Time, and 8% Summer. Highlights an 100% In-person job distribution, with an average salary of $96,000 per year, or $46.2 per hour.

Research Robotics/Computer Vision Engineer

Skild AI

San Mateo, CA • On-site

Other

Re-posted 6 days ago

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