1

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

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 ...

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

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

... 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 ...

Showing results 41-56

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 Aug 8, 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 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?

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.
Infographic showing various Robotics Perception Engineer job openings in Denver, CO as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $108,697 per year, or $52.3 per hour.

Senior GNC Simulation Engineer

Approach Venture LLC

Denver, CO โ€ข On-site

$120K - $165K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 17 days ago


Job description

Senior GNC Simulation Engineer - Build the Flight Simulation Environment for Next-Generation Spacecraft
Denver, Colorado | On-site
Opportunity Summary
Join a venture-backed aerospace company developing advanced spacecraft platforms designed to support the next generation of autonomous in-space operations. As the company progresses from prototype development toward flight-qualified systems, this role will lead the development of the simulation and verification environment used to validate guidance, navigation, and control performance before hardware reaches orbit. As a Senior GNC Simulation Engineer, you will own the simulation infrastructure supporting flight software development, vehicle dynamics, and mission verification. You'll build high-fidelity simulation environments that accurately model spacecraft physics, sensors, actuators, and onboard software while enabling rapid testing through hardware-in-the-loop, software-in-the-loop, and Monte Carlo analysis. Working closely with GNC, embedded software, avionics, and systems engineering teams, you'll help ensure simulation results translate directly to flight performance.
About Us
We are an early-stage aerospace company developing advanced spacecraft technologies for future commercial and government space missions. Our multidisciplinary engineering team combines flight software, avionics, autonomy, and mechanical design to solve challenging problems in spacecraft mobility and in-space operations. Engineers have broad technical ownership and play an active role in moving systems from concept through flight validation.
Job Duties
  • Design, develop, and maintain high-fidelity simulation environments supporting spacecraft guidance, navigation, and control development.
  • Build 6DOF physics models representing spacecraft dynamics, orbital motion, environmental effects, and vehicle interactions.
  • Develop simulation infrastructure that integrates directly with production flight software.
  • Design and maintain hardware-in-the-loop and software-in-the-loop verification environments.
  • Develop sensor, actuator, communication, and subsystem models that accurately represent flight hardware behavior.
  • Build Monte Carlo analysis frameworks for performance evaluation across thousands of mission scenarios.
  • Develop simulation configuration, automation, logging, visualization, and telemetry tools.
  • Validate simulation fidelity through comparison with hardware testing and flight data.
  • Support regression testing and continuous verification of guidance, navigation, and control algorithms.
  • Reproduce flight anomalies and investigate discrepancies between simulation and hardware performance.
  • Collaborate closely with GNC, embedded software, avionics, perception, and systems engineering teams to improve simulation accuracy and software reliability.
  • Participate in architecture discussions, design reviews, and verification planning throughout product development.

Qualifications
  • Bachelor's degree in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, Computer Science, Physics, Applied Mathematics, or a related technical discipline.
  • 5+ years developing simulation software for aerospace, robotics, autonomous systems, or other dynamic platforms.
  • Strong software development experience using modern C++ and Python.
  • Experience developing high-fidelity dynamic simulation environments.
  • Strong understanding of rigid-body dynamics, numerical integration, orbital mechanics, and control systems.
  • Experience integrating software into simulation or hardware verification environments.
  • Familiarity with collaborative software development practices and version control systems.

Preferred Experience
  • High-fidelity 6DOF spacecraft or aircraft simulation.
  • Hardware-in-the-loop and software-in-the-loop testing.
  • Monte Carlo simulation and statistical performance analysis.
  • Real-time or embedded software development.
  • Flight software integration and verification.
  • Sensor and actuator modeling.
  • Numerical integration methods and nonlinear dynamic systems.
  • Distributed software architectures or multi-rate simulation frameworks.
  • Data visualization, telemetry analysis, or simulation dashboards.
  • Experience supporting spacecraft, autonomous vehicles, robotics, UAVs, or other mission-critical autonomous systems.

Why Join Us
  • Own the simulation platform that validates every flight-critical GNC capability.
  • Build the verification infrastructure supporting next-generation autonomous spacecraft.
  • Work alongside a highly collaborative multidisciplinary engineering team.
  • Significant technical ownership with direct influence on product architecture and development processes.
  • Competitive salary and meaningful early-stage equity opportunity.
  • Comprehensive medical, dental, and vision coverage.
  • Life and disability insurance.
  • Paid parental leave.
  • Three weeks of paid vacation plus company holidays.

Compensation Details
$120,000 - $165,000