Software Engineer - Robotics Perception

47G; Salt Lake City (UT); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Competitive salary

401(k) with company match

Comprehensive medical, dental, and vis

Paid time off and company holidays

Professional development opportunities

Job summary

Palladyne AI is seeking a full-time Perception Software Engineer to develop computer vision and AI/ML software for robotic systems, including perception algorithms, vision system integration, and testing on hardware.

You will work hands-on with robots in our Salt Lake City, UT office, supporting camera setup, object detection and tracking, pose estimation, and perception testing for real-world environments.

Qualifications

• MS or PhD in Engineering, CS, ML, Robotics, Mathematics, or related field.
• 2+ years in computer vision, image processing, and machine learning (object detection, tracking, pose estimation).
• Experience training and fine-tuning deep learning models; familiarity with PyTorch and TensorRT.
• Strong algorithm development and production-quality C++ and Python.
• Experience with unit testing, refactoring, code reviews, documentation, and CI.
• Strong communication, interpersonal, and problem-solving skills.
• Adaptability to changing priorities.

Responsibilities

• Develop perception, reasoning, and decision-making algorithms for industrial robots and cobots, including object detection, localization, and tracking.
• Develop and maintain software for AI/ML robotic applications.
• Set up and calibrate cameras, integrate vision systems, and test perception algorithms on physical robots.
• Define database structures, identify data collection requirements, and implement data analysis tools.
• Write and execute tests to validate system performance and compliance.
• Collaborate with developers in an agile environment.
• Prepare technical documentation supporting intellectual property filings and proposals.

Skills

Algorithm development

C++ programming

Python programming

Deep learning fundamentals

Communication skills

Cross-disciplinary collaboration

Adaptability

Education

MS or PhD in Engineering, CS, ML, Robotics, Mathematics, or related field

Tools

PyTorch

TensorRT

Job description

Description

Location:

On-Site in Salt Lake City, UT. Relocation assistance may be available.

Palladyne AI (NASDAQ: PDYN) is seeking a full-time Perception Software Engineer to develop computer vision and AI/ML software that enables robotic systems to detect, track, and interact with objects in real-world environments. Specifically, you will develop perception algorithms, integrate vision systems, and test software directly on robotic hardware.

You'll work hands-on with robots in our Salt Lake City office, supporting camera setup and calibration, object detection, tracking, pose estimation, and perception testing.

Palladyne AI is a U.S.-based defense and industrial technology company that delivers embodied AI-powered collaborative autonomy solutions, advanced avionics, precision-manufactured components, UAVs, and advanced aerospace design services.

What You'll Do

• Develop perception, reasoning, and decision-making algorithms for industrial robots and cobots, including object detection, localization, and tracking.
• Develop and maintain software for AI/ML robotic applications.
• Set up and calibrate cameras, integrate vision systems, and test perception algorithms on physical robots.
• Define database structures, identify data collection requirements, and implement data analysis tools.
• Write and execute tests to validate system performance and compliance.
• Collaborate with developers in an agile environment.
• Prepare technical documentation supporting intellectual property filings and proposals.

What Makes Someone Successful Here

• Enjoys hands-on robotics testing and solving complex computer vision problems.
• Writes reliable, maintainable code and approaches technical challenges methodically.
• Collaborates effectively across engineering disciplines.
• Adapts to changing priorities and takes initiative to solve problems.

Requirements

• MS or PhD in Engineering, Computer Science, Machine Learning, Robotics, Mathematics, or a related quantitative field.
• 2+ years of experience in computer vision, image processing, and machine learning, specifically object detection, tracking, and pose estimation.
• Experience training and fine-tuning deep learning and foundation models; familiarity with PyTorch and TensorRT.
• Strong algorithm development skills and proficiency writing production-quality C++ and Python.
• Experience with unit testing, refactoring, code reviews, documentation, and continuous integration.
• Strong communication, interpersonal, and problem-solving skills.
• Flexibility and adaptability to take on new responsibilities.

Preferred Qualifications

• Knowledge of classical 3D computer vision techniques, including camera calibration, structure from motion, and stereo 3D reconstruction.

Location & Work Setting

This position is on-site in Salt Lake City, Utah, with hands-on robotic system testing. Work is generally Monday through Friday.

Benefits & Perks

• Competitive salary
• 401(k) with company match
• Comprehensive medical, dental, and vision coverage
• Paid time off and company holidays
• Professional development opportunities

Work Authorization & Clearance

This position requires the ability to work in the United States without current or future sponsorship. Depending on the nature of the work, the ability to obtain and maintain a U.S. security clearance may be required. Candidates may be asked to provide additional information relevant to clearance eligibility in accordance with applicable laws and regulations.

The Fine Print

No third-party candidates will be accepted. Palladyne AI is an equal opportunity employer. We are committed to building a diverse and inclusive workplace and do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, genetic information, or any other protected characteristic under applicable law.