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Robotics Perception Engineer Jobs in Denver, CO (NOW HIRING)

Senior GNC Simulation Engineer

Denver, CO ยท On-site

$120K - $165K/yr

Collaborate closely with GNC, embedded software, avionics, perception, and systems engineering ... Experience supporting spacecraft, autonomous vehicles, robotics, UAVs, or other mission-critical ...

Sr AI/ML Engineer

Lone Tree, CO ยท On-site

$106K - $146K/yr

Develop signal processing, perception, and planning pipelines supporting MPC control loops. * Use ... Background in autonomous systems, robotics, or sensor fusion. * Familiarity with Agile/DevOps ...

Sr AI/ML Engineer

Lone Tree, CO

$106K - $146K/yr

Develop signal processing, perception, and planning pipelines supporting MPC control loops. * Use ... Background in autonomous systems, robotics, or sensor fusion. * Familiarity with Agile/DevOps ...

Research Engineer

Denver, CO ยท On-site +1

... perception to control in over 300 autonomous vehicle designs. We are a mid-sized company with an ... D. degree in Computer Science, Robotics, Electrical Engineering or related field. Appropriate ...

... perception to control in over 300 autonomous vehicle designs. We are a mid-sized company with an ... D. degree in Computer Science, Robotics, Electrical Engineering or related field. Appropriate ...

We push the boundaries of material science to engineer solutions that continually exceed customer ... Expertise in plant automation/robotics and/or experience in automating plant operations

Showing results 41-60

Robotics Perception Engineer information

See Denver, CO salary details

$29.8K

$108.7K

$173.9K

How much do robotics perception engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for robotics perception engineer in Denver, CO is $108,697.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,900.00 and $130,700.00 per year, depending on experience, location, and employer.

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.

What job categories do people searching Robotics Perception Engineer jobs in Denver, CO look for?

The top searched job categories for Robotics Perception Engineer jobs in Denver, CO are:

Infographic showing various Robotics Perception Engineer job openings in Denver, CO as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $108,697 per year, or $52.3 per hour.

Engineer II, Embedded, Sensors, and Safety Software

Outrider

Henderson, CO โ€ข Hybrid

$120K - $135K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 2 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 Roleย 

The Engineer II, 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.ย 

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.

This role is hybrid based at the HQ in Henderson, CO.ย 

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.
  • ย 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
  • Demonstrated bias for action 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...)
  • 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 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
  • 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 & Benefitsย 

  • Salary range of $120,000 - $135,000ย ย 
    • 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
  • Health Insurance
  • Dental insurance
  • Vision Insurance
  • Parental Leave
  • 401(K) Retirement
  • Flexible Spending Account (FSA)
  • Health Savings Account (HSA)
  • Short-Term Disability
  • Long-Term Disabilityย 
  • Life insurance
  • Pet insurance
  • Vision insurance
  • Wellness programs
  • Mental health benefits
  • Professional Development Benefits
  • Flexible Time Off
  • Relocation Assistanceย 

Closing EEOC statementย 

At Outrider, we believe in cultivating an environment where there is diversity of perspectives, experiences, and knowledge with the expectation that we thrive in an inclusive environment. Outrider is committed to a workforce where everyone's opportunities are limitless regardless of race, national origin, gender, age, religion, disability, veteran status, or any others that are protected by law.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.