Industrial Robotics Perception Software Engineer

Palladyne AI Corp.; Salt Lake City (UT); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

401(k) With Company Match

Medical Insurance

Dental Insurance

Vision Insurance

Paid Time Off

Company Holidays

Professional Development Opportunities

Relocation Assistance

Job summary

Palladyne AI Corp. in Salt Lake City develops perception, reasoning, and decision-making software for industrial robots. You will work on object detection, localization, tracking, and pose estimation, testing algorithms on physical robots and calibrating camera systems.

Collaborate on data tools, validate system performance, and contribute to technical documentation while advancing production-quality software in a cross-functional team.

Qualifications

• MS or PhD in a quantitative field with at least two years of CV/ML experience.
• Experience with deep learning, foundation models, PyTorch and TensorRT.
• Proficiency in production-quality C++ and Python; software testing practices.

Responsibilities

• Develop and maintain perception, reasoning, and decision-making software for industrial robots.
• Implement object detection, localization, tracking, and pose estimation modules.
• Integrate and calibrate camera systems and test algorithms on real robots.
• Build data tooling, validate system performance, and document technical work.

Skills

Computer Vision

Image Processing

Machine Learning

Object Detection

Object Tracking

Pose Estimation

Deep Learning

Foundation Models

PyTorch

TensorRT

C++

Python

Camera Calibration

3D Computer Vision

Unit Testing

Continuous Integration

Education

MS or PhD in a quantitative field

Tools

PyTorch

TensorRT

C++

Python

Job description

Palladyne AI Corp. in Salt Lake City develops perception, reasoning, and decision-making software for industrial robots. You will work on object detection, localization, tracking, and pose estimation, testing algorithms on physical robots and calibrating camera systems.

Collaborate on data tools, validate system performance, and contribute to technical documentation while advancing production-quality software in a cross-functional team.