Skild AI

1 month ago

Research Robotics/Computer Vision Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Research Robotics/Computer Vision Engineer to design perception pipelines and SLAM-based robotics systems for real-world navigation. Focus areas include 3D scene reconstruction from monocular data, learning-based perception, robust lifelong mapping, and deployment on cloud-enabled training pipelines. Collaborate with locomotion and data teams to enable safe exploration, robust control, and scalable robotic intelligence.

Location: San Mateo

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Implement perception on robots to enable safe exploration and navigation in real world environments in collaboration with the locomotion team.
•Reconstruct an entire scene in 3D using monocular images, estimating camera poses, optimizing and streamlining 3D SLAM.
•Develop a set of software tools for localization of a robot using only visual inputs.
•Build robust software to enable life-long mapping on a robot via optimally merged pose-graphs.
•Maintain a camera and 2D lidar based navigation stack, including fixing bugs, adding new customer feature requests, and ensuring successful deployments.

Pay and Benefits

Salary: USD 250,000 - 300,000 annually

Key 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.

Experience:RoboticsComputer vision

Education:Master's

Skills:3D reconstructionMonocular visionSLAMNeural Radiance FieldsGaussian splatsAttention-based modelsNeural Architectural SearchCloud-based trainingPytorch

Languages:English

Tech Stack:AWSGoogle CloudVertex AIPyTorchSLAMNeRFGaussian splatsMonocular imaging3D reconstruction

Company Brief

Skild AI

Develops AI-driven solutions focused on applying machine learning to automate and enhance business workflows, delivering predictive insights and intelligent automation for enterprise use cases.

Industry: AI & Machine Learning

Website

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Skild AI

1 month ago

Research Robotics/Computer Vision Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: San Mateo

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Implement perception on robots to enable safe exploration and navigation in real world environments in collaboration with the locomotion team.
•Reconstruct an entire scene in 3D using monocular images, estimating camera poses, optimizing and streamlining 3D SLAM.
•Develop a set of software tools for localization of a robot using only visual inputs.
•Build robust software to enable life-long mapping on a robot via optimally merged pose-graphs.
•Maintain a camera and 2D lidar based navigation stack, including fixing bugs, adding new customer feature requests, and ensuring successful deployments.

Pay and Benefits

Salary: USD 250,000 - 300,000 annually

Key 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.

Experience:RoboticsComputer vision

Education:Master's

Skills:3D reconstructionMonocular visionSLAMNeural Radiance FieldsGaussian splatsAttention-based modelsNeural Architectural SearchCloud-based trainingPytorch

Languages:English

Tech Stack:AWSGoogle CloudVertex AIPyTorchSLAMNeRFGaussian splatsMonocular imaging3D reconstruction

Company Brief

Skild AI

Develops AI-driven solutions focused on applying machine learning to automate and enhance business workflows, delivering predictive insights and intelligent automation for enterprise use cases.

Industry: AI & Machine Learning

Website