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Robotics Perception Engineer Jobs in Colorado (NOW HIRING)

Perception Engineer, AI

Denver, CO ยท On-site

$125K - $270K/yr

This is perception engineering where mistakes have consequences, where your code operates in vacuum ... Bachelor's degree in computer science, robotics, or a similar discipline * Experienced with C/C ...

Senior Robotics Engineer

Denver, CO ยท On-site

$150K/yr

This is a hands-on engineering role focused on building production-grade robotics software and ... Experience with perception systems, sensor integration, computer vision, and AI/ML-enabled robotics ...

Senior Robotics Engineer

Denver, CO ยท On-site

$150K/yr

This is a hands-on engineering role focused on building production-grade robotics software and ... Experience with perception systems, sensor integration, computer vision, and AI/ML-enabled robotics ...

This is a hands-on engineering role focused on building production-grade robotics software and ... Experience with perception systems, sensor integration, computer vision, and AI/ML-enabled robotics ...

Senior Robotics Engineer

Denver, CO ยท On-site

$150K/yr

This is a hands-on engineering role focused on building production-grade robotics software and ... Experience with perception systems, sensor integration, computer vision, and AI/ML-enabled robotics ...

Senior Software Engineer - Perception

Arvada, CO ยท On-site

$125K - $165K/yr

Lunar Outpost, an industry leader in space robotics, invites you to join our team! Lunar Outpost is ... We are seeking a talented, experienced Senior Software Engineer - Perception. As the engineer ...

System Software Engineer III

Longmont, CO ยท On-site

$56.75 - $76.25/hr

Collaborate daily with firmware, perception, and applications engineers on shared systems. * Learn new tools and technologies as the robot platform and fleet grow. * Maintain and evolve the robot ...

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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.

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 September 2026, with employment types broken down into 1% Internship, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Senior Edge AI Perception Engineer

Arvada, CO โ€ข On-site

AION ROBOTICS CORPORATION
Software Developmentย โ€ขย 1 - 10 employees

$107K - $147K/yr

Full-time

Re-posted 13 days ago


Job description

Job Summary:
AION Robotics Corporation is a rapidly growing startup manufacturing advanced autonomous ground vehicles for critical infrastructure monitoring. They are seeking a highly skilled Senior Edge AI Perception Engineer to design, optimize, and deploy deep learning models for real-time autonomous vehicle perception systems.
Responsibilities:
โ€ข Neural Network Model Development & Optimization
โ€ข Build and manage optimized neural network pipelines tailored for edge deployment in autonomous vehicle systems.
โ€ข Implement, compress, and optimize models (pruning, quantization, scheduling) to run on GPU, DLA, and Tensor cores.
โ€ข Work with architectures including monocular depth models, YoloX, PeopleNet, ResNet, and others.
โ€ข Leverage NVIDIA DeepStream, TensorRT, CUDA, and TAO Toolkit to create high-performance perception pipelines.
โ€ข Manage model/hardware resource allocation across GPU/DLA for real-time scheduling and execution.
โ€ข Optimize pipelines โ€œlens-to-detectionsโ€ meeting ultra-low latency constraints on embedded devices such as NVIDIA Orin & Thor.
โ€ข Apply real-time geometric transforms to object detections and semantic segmentation results for geo-referencing and LiDAR point cloud filtering.
โ€ข CUDA accelerated 3D Terrain mapping
โ€ข Develop and maintain automated data collection pipelines, including dataset formatting, labeling workflows (CVAT), and fine-tuning for custom training.
โ€ข Implement real-time dewarped camera pipelines using GMSL drivers, VIC, and ARGUS APIs on embedded platforms.
โ€ข Collaborate with hardware engineers to achieve consistent calibration and synchronization across multiple sensors.
โ€ข Stay up to date with bleeding-edge advancements in neural networks, edge AI optimization, and autonomous perception.
โ€ข Rapidly prototype and validate new models and methods for production deployment.
Qualifications:
Required:
โ€ข Direct real-world experience in computer vision, deep learning, or edge AI systems.
โ€ข Strong proficiency with CUDA, TensorRT, NVIDIA DeepStream, TAO Toolkit, PyTorch/TensorFlow.
โ€ข Demonstrated experience with model optimization techniques (e.g., pruning, quantization, distillation, scheduling).
โ€ข Hands-on experience deploying AI pipelines to embedded edge platforms (preferably NVIDIA Jetson Orin or Thor).
โ€ข Expertise in object detection, semantic segmentation, and depth estimation.
โ€ข Solid understanding of real-time embedded system constraints and low-latency optimization strategies.
โ€ข Strong programming skills in C++ and Python.
Preferred:
โ€ข Experience with low-level camera system integration, including ISP tuning, intrinsic & extrinsic calibration algorithms, multi-camera synchronization and fusion.
โ€ข Familiarity with sensor fusion pipelines combining camera, LiDAR, and IMU.
โ€ข Direct experience working in autonomous vehicles, robotics, ROS2 or safety-critical perception systems.
Company:
Our rugged autonomous vehicles bring Industry 4.0 to outdoor commercial jobsites through the automation of infrastructure monitoring, maintenance and inspection tasks. Founded in 2016, the company is headquartered in Denver, USA, with a team of 11-50 employees. The company is currently Early Stage.