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Robot Perception Jobs in Colorado (NOW HIRING)

Our AI-driven systems enable robots to adapt, learn, and perform in the real world closing the skilled labor gap and transforming industries. We go beyond traditional methods, combining perception ...

Our AI-driven systems enable robots to adapt, learn, and perform in the real world closing the skilled labor gap and transforming industries. We go beyond traditional methods, combining perception ...

Systems Engineer - GNC

Arvada, CO ยท On-site

$90K - $120K/yr

Experience in research and development of perception, localization, and controls in unstructured environments * Bachelor's degree or higher in Robotics, Computer Science, Aerospace Engineering, or ...

Experience in research and development of perception, localization, and controls in unstructured environments * Bachelor's degree or higher in Robotics, Computer Science, Aerospace Engineering, or ...

... Robotics Engineering, or related field * 1-3years of relevant professional experience in developing autonomy software for autonomous systems, with a proventrack recordin navigation,perception ...

Showing results 21-40

Robot Perception information

What is robot perception?

Robot perception refers to the ability of robots to interpret and understand their environment using sensors and algorithms. This field involves processing data from cameras, lidar, radar, and other sensors to recognize objects, map surroundings, and make decisions. Effective robot perception is essential for tasks like navigation, object manipulation, and autonomous operation in dynamic environments. It combines elements of computer vision, machine learning, and sensor fusion to enable robots to function reliably and safely.

What are the key skills and qualifications needed to thrive in a robot perception role, and why are they important?

To excel in Robot Perception, you need a strong background in computer vision, machine learning, and sensor data processing, typically backed by a degree in computer science, robotics, or a related field. Familiarity with tools like ROS (Robot Operating System), OpenCV, PCL, and deep learning frameworks such as TensorFlow or PyTorch, as well as experience with LiDAR and camera systems, is highly valued. Creative problem-solving, adaptability, and effective teamwork are crucial soft skills for addressing complex perception challenges in dynamic environments. These competencies enable the development of robust perception systems, which are essential for safe and autonomous robotic operation.

What is the difference between Robot Perception vs Robot Software Engineer?

AspectRobot PerceptionRobot Software Engineer
Required CredentialsBachelor's or Master's in Robotics, Computer Science, or related fields; knowledge of perception algorithmsBachelor's or Master's in Software Engineering, Computer Science; programming skills in C++, Python
Work EnvironmentResearch labs, robotics companies, industrial settings focusing on sensor data processingSoftware development teams, robotics companies, embedded systems environments
Industry UsageUsed in autonomous vehicles, service robots, industrial automation for sensor data interpretationDevelops robot control software, integrates perception modules, and ensures system functionality

Robot Perception specialists focus on processing sensor data to enable robots to understand their environment, while Robot Software Engineers develop the software systems that control robot functions, including perception modules. Both roles often collaborate but have distinct focuses within robotics development.

What are some common challenges faced by professionals in robot perception roles, and how can they be addressed?

Professionals in Robot Perception roles often encounter challenges such as dealing with noisy sensor data, ensuring real-time processing, and integrating data from multiple sources to create an accurate understanding of the environment. Addressing these requires strong skills in sensor fusion, robust algorithm design, and close collaboration with robotics engineers and software developers. Continuous learning and staying updated with advancements in machine learning and computer vision are also key to overcoming these challenges and contributing effectively to the team's goals.
What are popular job titles related to Robot Perception jobs in Colorado? For Robot Perception jobs in Colorado, the most frequently searched job titles are:
Infographic showing various Robot Perception job openings in Colorado as of June 2026, with employment types broken down into 81% Full Time, 18% Part Time, and 1% Contract. Highlights an 98% Physical, and 2% Remote job distribution.

System Software Engineer III

Autonomous Solutions

Longmont, CO โ€ข On-site

$115K - $145K/yr

Full-time

Posted 22 days ago


Job description

At Autonomous Solutions Inc (ASI), we are revolutionizing industries with state-of-the-art autonomous robotics solutions. We deliver technologies that enhance safety, productivity, and efficiency. With our core values of Simplicity, Safety, Transparency, Humility, Attention to Detail, Autonomy and Growth guiding everything we do, we're shaping the future of automation in dynamic markets.
As a System Software Engineer III on the Commercial Landscaping Team, you will bridge the gap between firmware and higher-level robot software. You will maintain the operating system and foundational software that every other system on the robot depends on and write the lower-level abstractions that make the rest of the codebase possible. You will work closely with firmware engineers on CAN-connected microcontrollers, perception engineers processing camera data in real time, and applications engineers streaming telemetry to the cloud. Most of the codebase is Rust, with some C++ and Python. You will be required to regularly spend time on-bot verifying your own changes.
Requirements
  • Maintain and evolve the robot's operating system (Ubuntu and Yocto) and system-level tools.
  • Write and maintain software in Rust, Python, and C++ across the stack.
  • Bridge firmware and higher-level software, translating between the two layers.
  • Build tools that improve fleet observability, stability, and performance at scale.
  • Verify changes directly on-bot and assist other engineering teams in the field.
  • Debug complex, multi-threaded issues across firmware, perception, and application layers.
  • Collaborate daily with firmware, perception, and applications engineers on shared systems.
  • Learn new tools and technologies as the robot platform and fleet grow.

Qualifications
  • 5+ years of experience writing production code in at least one compiled language: Rust, C++, Go, Java, or C.
  • Has built and maintained large, complex software systems over time.
  • Has operated and maintained a complex Linux system in a production environment.
  • Can debug large, multi-threaded, multi-disciplinary software systems.
  • Comfortable engaging with unfamiliar systems to triage and solve deeply technical problems.
  • Willing to spend hands-on time verifying changes directly on real hardware.

Physical Requirements
  • Ability to remain in a stationary position for significant portions of the workday, including computer-based tasks and meetings.
  • Ability to communicate and exchange information clearly and effectively with team members and collaborators.
  • Capacity to analyze complex technical problems and make decisions in a fast-paced environment.
  • Ability to move around a lab, shop, or field environment to verify software changes directly on the robot.

At Autonomous Solutions Inc, we are committed to fostering a diverse, inclusive, and equitable workplace where all employees and applicants have equal opportunities. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other legally protected characteristic. Autonomous Solutions Inc complies with all applicable federal, state, and local laws regarding nondiscrimination in employment and is dedicated to providing reasonable accommodations for individuals with disabilities throughout the hiring process.