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Robotics Perception Engineer Jobs in Colorado (NOW HIRING)

Manufacturing Engineer

Longmont, CO · On-site

$85K - $125K/yr

Familiarity with automation, robotics, or cobots is strongly preferred. * Working knowledge of Lean ... Good vision and color perception for inspecting parts and identifying any defects or abnormalities.

Physical AI Senior Manager

Denver, CO

$130K - $171K/yr

Lead and mentor multi-disciplinary teams: data science, ML engineering, software and edge, vision ... Robotics and autonomy (e.g., industrial robotics, mobile robotics and AMRs, perception-to-action ...

Production Laborer

Grand Junction, CO · On-site

$16 - $19/hr

Carry out daily & weekly maintenance on assigned equipment * Assist plant engineers and mechanics ... Prior work experience with robotic equipment Desired Skills/Attributes: * Ability to learn and ...

Production Laborer

Fruita, CO · On-site

$16.25 - $19.25/hr

Carry out daily & weekly maintenance on assigned equipment * Assist plant engineers and mechanics ... Prior work experience with robotic equipment Desired Skills/Attributes: * Ability to learn and ...

Maintenance Tech

Greeley, CO · On-site

$28 - $35/hr

Install, program, or repair automated machinery and equipment such as robots or programmable ... Close vision, Distance vision, Peripheral vision, Depth perception and Ability to adjust focus.

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Robotics Perception Engineer information

What are Robotics Perception Engineers?

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 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.

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

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 cities in Colorado are hiring for Robotics Perception Engineer jobs? Cities in Colorado with the most Robotics Perception Engineer job openings:
Infographic showing various Robotics Perception Engineer job openings in Colorado as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Principal Engineer, Embedded, Sensors, and Safety Software

Principal Engineer, Embedded, Sensors, and Safety Software

Outrider

Henderson, CO

$165K - $190K/yr

Other

Medical, Dental, Vision, Life, Retirement

Posted 9 days ago


Job description

The Company

Outrider, the pioneer in autonomous yard operations for logistics hubs, helps large enterprises improve safety and increase efficiency. The only company exclusively focused on automating all aspects of yard operations, Outrider eliminates manual tasks that are hazardous and repetitive. Outrider's mission is to drive the rapid adoption of sustainable freight transportation by deploying zero-emission systems. Outrider is a private company backed by NEA, 8VC, Koch Disruptive Technologies, and other top-tier investors. For more information, visit www.outrider.ai.

The Role 

The Principal Engineer, Embedded, Sensors, and Safety Software will create reliable, safety-critical software that senses, monitors, and controls the vehicle. This role requires exceptional software engineering skills, full development lifecycle knowledge, attention to detail, and the ability to thrive in unstructured environments.

Successful candidates have a demonstrated technical track record in designing and implementing robust Software Test Infrastructure for complex hardware-based systems, bringing an exceptional system-level perspective and proficiency in software.

This role is mission-critical for helping deliver and scale a safety-critical system for industrial automation. The opportunity offers a technical, hands-on team member the chance to help develop a market-defining enterprise product that combines autonomous vehicle technology with a software-as-a-service (SaaS) business model. 

The ideal candidate will embrace our goal to drive zero-emission, self-driving vehicle adoption, and help us realize our potential to define, build, and lead a new category of robotic automation for the enterprise.

Duties & Key Objectives

  • Build the Software and System Test Infrastructure
    • Design, implement, and deliver test solutions for components and integrated systems to meet quality, repeatability, and schedule milestones
    • Upgrade and maintain existing test solutions
    • Develop test cases to test software requirements at different levels of the development lifecycle (inc. HIL)
    • Integrate test solutions for continuous integration/continuous development
    • Develop, implement, and deliver automated characterization and calibration solutions for new and existing components, including perception sensors.
  •  Develop high-quality, scalable software
    • Triage issues and perform root cause analysis using system context, user observations, and log data
    • Coordinate with hardware, system safety, and test teams to iterate on system performance and hit targets, metrics, and KPIs
    • Support product deployment, system maintenance, and the software development lifecycle for customer sites and system validation
    • Identify opportunities to improve deployed systems based on data
    • Address issues by developing software in C and C++ (from simple patch to feature re-architecture)
    • Develop embedded C software for control units, actuators, and sensors interfaced with the base vehicle
  • Deliver experiments to validate hypotheses, evaluate system performance and design changes, and support engineering decisions
  • Provide technical leadership and mentor team on software and system safety
  • Demonstrated bias for action, strong leadership and a continuous improvement mindset
  • Contribute to Outrider's growth and a culture of responsible zero-emission autonomous vehicle deployment
  • Outrider may require additional or different tasks as needed

Required Qualifications

  • Experience developing software test infrastructure for safety-critical systems
  • Exceptional system-level perspective, proficient in software, with practical familiarity in Electrical and Mechanical Engineering
  • Proficiency in Python
  • Experience developing application software in C and Modern C++ for embedded systems
  • Experience with test lab equipment (e.g. oscilloscope, data acquisition unit, signal generator...)
  • Experience with CAN and networking (UDP, TCP, DHCP, DNS, Wireshark...)
  • Professional experience using perception sensors (e.g RADARs, LIDARs, cameras...), GPS, encoders and other safety significant hardware (e.g. safety interlock systems)
  • Experience with REST APIs
  • Familiarity with development containers
  • Experience with Git and CI/CD pipelines
  • Experience with AI coding tools and willingness to adopt AI-assisted development workflows
  • Background developing software in a Linux environment
  • Proficiency across the full software development lifecycle
  • Exceptional analytical skills
  • Bachelor's degree in computer engineering, computer science, electrical engineering, or a related field

Ideal Qualifications

  • Experience scaling a fleet of autonomous vehicles or mobile robots
  • Experience working with ROS or ROS2
  • Experience using IBM ELM/DOORS (inc. external integrations)
  • Familiarity with functional safety specifications, including ISO 26262 and IEC 61508
  • Master's degree in computer engineering or computer science

Comp & Benefits 

  • Salary range of $165,000 - $190,000.  
    • Actual compensation is based on several factors, including but not limited to job-related skills, qualifications, experience, and specific work location due to differences in the cost of labor. In addition to a base salary, this role is also eligible for benefits, and equity bonus.
  • Equity: equity package commensurate on experience and skills
  • Relocation assistance 
  • Health Insurance
  • Dental insurance
  • Vision Insurance
  • Parental Leave
  • 401(K) Retirement
  • Flexible Spending Account (FSA)
  • Health Savings Account (HSA)
  • Short-Term Disability
  • Long-Term Disability 
  • Life insurance
  • Pet insurance
  • Mental health benefits
  • Professional Development Benefits

Please note: At this time, we are only hiring candidates who are currently authorized to work in the United States and reside within the U.S. We are unable to provide visa sponsorship or support international employment arrangements for this role.