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Robotics Perception Engineer Jobs in Colorado (NOW HIRING)

Industrious Ventures

Senior GNC Engineer - Sensors

Golden, CO · On-site

$107K - $148K/yr

... perception, with research or projects directly applicable to autonomous navigation or robotics ... different engineering domains. Compensation & Benefits Compensation level and base salary are ...

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Robotics Perception Engineer information

What is a robotics perception engineer?

Robotics Perception Engineers are professionals who specialize in enabling robots to interpret and understand their environment using sensors and data processing algorithms. They work on developing and implementing computer vision, sensor fusion, and machine learning techniques so that robots can perceive objects, people, and surroundings. Their work is crucial for applications such as autonomous vehicles, drones, industrial automation, and service robots. By improving a robot's ability to 'see' and make sense of the world, they help create safer and more effective robotic systems.

What are the key skills and qualifications needed to thrive as a robotics perception engineer?

To thrive as a Robotics Perception Engineer, you need strong expertise in computer vision, sensor fusion, machine learning, and proficiency in programming languages like C++ and Python, often supported by a degree in robotics, computer science, or a related field. Familiarity with tools and frameworks such as ROS (Robot Operating System), OpenCV, and deep learning libraries, as well as experience with sensors like LiDAR and cameras, is typically required. Excellent problem-solving abilities, teamwork, and adaptability help set standout professionals apart in this role. These competencies are crucial for enabling robots to accurately interpret and interact with their environment, leading to robust and reliable autonomous systems.

What are some common challenges faced by robotics perception engineers when integrating new sensors into autonomous systems?

Robotics Perception Engineers often encounter challenges such as sensor calibration, data synchronization, and managing varying data quality when integrating new sensors. Ensuring that sensor data is accurately aligned in time and space is crucial for reliable perception in autonomous systems. Additionally, engineers must address the complexities of fusing data from multiple modalities (like cameras, LiDAR, or radar) while optimizing processing efficiency. Close collaboration with hardware and software teams is essential to troubleshoot integration issues and achieve robust, real-time perception.

What is the difference between Robotics Perception Engineer vs Computer Vision Engineer?

AspectRobotics Perception EngineerComputer Vision Engineer
Required CredentialsBachelor's or Master's in Robotics, Computer Science, or Electrical Engineering; experience with perception algorithmsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; strong programming skills in vision processing
Work EnvironmentRobotics labs, autonomous vehicle companies, industrial automationSoftware companies, tech startups, research labs focusing on image and video analysis
Industry UsageAutonomous vehicles, robotics, manufacturingHealthcare, security, consumer electronics, automotive

Robotics Perception Engineers focus on developing perception systems specifically for robots, integrating sensors and perception algorithms for navigation and interaction. Computer Vision Engineers primarily develop algorithms for interpreting visual data across various applications. While both roles require strong programming and understanding of perception, Robotics Perception Engineers specialize in sensor fusion and real-time processing within robotic systems, whereas Computer Vision Engineers work more broadly on image analysis and recognition tasks.

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For Robotics Perception Engineer jobs in Colorado, the most frequently searched job titles are:

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Cities in Colorado with the most Robotics Perception Engineer job openings:

Robotics Perception Engineer jobs near you
Infographic showing various Robotics Perception Engineer job openings in Colorado as of September 2026, with employment types broken down into 1% Internship, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution.

Flight Hardware and System Integration Engineer

Boulder, CO

University of Colorado Boulder
Colleges, Universities, and Professional Schools • 10K+ employees
Learn more about University of Colorado Boulderexternal

$50K - $60K/yr

Full-time

Medical, Dental, Retirement, PTO

Posted 29 days ago

University Of Colorado Boulder rating

8.2

Company rating: 8.2 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

Job description

Requisition Number:

74212

Location:

Boulder, Colorado

City

Boulder

State

Colorado

Employment Type:

Research Faculty

Schedule:

Full-Time

Posting Close Date:

15-Oct-2026

Date Posted:

14-Aug-2026
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Job Summary

The Bio-Inspired Perception and Robotics Laboratory (BPRL) is seeking a Flight Hardware and System Integration Engineer. The candidate will design, fabricate, integrate, and maintain autonomous aerial vehicle hardware for cutting-edge robotics research. Responsibilities will include mechanical design of flight platforms, printed circuit board (PCB) development, integration of novel sensing technologies, and assembly of complete flight systems. The candidate will work closely with researchers developing perception, guidance, and control algorithms to create reliable experimental platforms for autonomous flight demonstrations.

CU is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.
Who We Are

The Bio-Inspired Perception and Robotics Laboratory (BPRL) is a facility in the Department of Mechanical Engineering and the Robotics Graduate Program at the University of Colorado, Boulder that conducts research and development in the areas of field robotics and biologically inspired robotics. We seek to distill the fundamental sensing, processing and feedback principles that govern robust behavior in organisms to enable new classes of robotic systems with improved agility, locomotion and autonomy.

What Your Key Responsibilities Will Be

The successful candidate will design, fabricate, assemble, and maintain custom drone platforms for laboratory research and flight testing, build and maintain CAD models using SolidWorks, design and integrate printed circuit boards (PCBs) for embedded sensing, power distribution and onboard electronics, integrate novel sensing technologies including cameras, event cameras, radar, strain sensing systems, IMUs, GPS, and other experimental hardware, and develop mechanical mounting solutions for sensors and embedded electronics while considering manufacturability, weight, stiffness, and maintainability. The candidate will also maintain accurate vehicle models, mass properties, and hardware configurations used in simulation and flight software, fabricate prototype components using additive manufacturing, machining, soldering, and general laboratory fabrication techniques diagnose, repair, and rebuild damaged flight hardware following testing and flight demonstrations, and support laboratory flight operations by preparing aircraft, verifying hardware functionality, and assisting with system integration and testing.

What We Can Offer
The annual salary range for this appointment will be $50,000 - $60,000.
Benefits

At the University of Colorado Boulder, we are committed to supporting the holistic health and well-being of our employees. Our comprehensive benefits package includes medical, dental, and retirement plans; generous paid time off; tuition assistance for you and your dependents; and an ECO Pass for local transit. As one of Boulder County's largest employers, CU Boulder offers an inspiring academic community and access to world-class outdoor recreation. In fact, CU Boulder has been named one of Forbes' America's Best Large Employers, ranking #4 among large employers in Colorado and #28 among universities nationwide. Explore additional perks and programs through the CU Advantage program.

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Be excited. Be groundbreaking. Be Boulder.
What We Require

Bachelor's degree in robotics, engineering, or a related field.

What You Will Need

The candidate will need experience with CAD design using SolidWorks or similar mechanical design software, hands-on fabrication experience including 3D printing, soldering, machining, wiring, and mechanical assembly, experience designing printed circuit boards using KiCad, Altium Designer, or similar PCB design tools. The candidate will also need familiarity with embedded electronics, sensors, connectors, and electrical integration, python programming experience and basic familiarity with ROS2, strong troubleshooting skills, and the ability to rapidly prototype, integrate, and test new hardware.

What We Would Like You to Have

Master's degree in robotics, engineering, or a related field.

Special Instructions

To apply, please submit the following materials:

  1. Resume/CV.
  2. Cover Letter.
  3. (Optional) Transcripts/Proof of Degree: If you are selected as the finalist, your degree will be verified by the CU Boulder Campus Human Resources Department using an approved online vendor. However, if your degree was obtained outside of the United States, please submit an English-translated version (if applicable) as an Optional document.
During the application process, you will be asked to provide the name and email address for one reference, from whom we will request a letter of recommendation immediately following the submission of your completed application.

Please apply by October 15, 2026 for consideration.

Note: Application materials will not be accepted via email. For consideration, applications must be submitted through CU Boulder Jobs.


In compliance with the Colorado Job Application Fairness Act, in any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

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