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Slam Engineer Jobs in Colorado (NOW HIRING)

Prime Robotics

Senior Robotics Engineer

Denver, CO · On-site

$150K/yr

This is a hands-on engineering role focused on building production-grade robotics software and ... Build and optimize systems involving SLAM navigation, sensor fusion, path & motion planning, and ...

Prime Robotics

Senior Robotics Engineer

Denver, CO · On-site

$150K/yr

This is a hands-on engineering role focused on building production-grade robotics software and ... Build and optimize systems involving SLAM navigation, sensor fusion, path & motion planning, and ...

Prime Robotics

Senior Robotics Engineer

Denver, CO · On-site

$150K/yr

This is a hands-on engineering role focused on building production-grade robotics software and ... Build and optimize systems involving SLAM navigation, sensor fusion, path & motion planning, and ...

S L A M Collaborative Inc

Project Manager

Denver, CO · On-site

$90K - $135K/yr

SLAM staff architects, interior designers, structural engineers, landscape architects, and coordination with various consultants * Continuously collaborate with P-I-C and/or internal team members

True Anomaly

Perception Engineer

Denver, CO · On-site

They are seeking a Perception Engineer to drive the architecture for image processing and object ... SLAM, nonlinear filtering, image processing, object detection, computer vision, pose estimation ...

Lunar Outpost

Senior Software Engineer - Perception

Arvada, CO · On-site

$125K - $165K/yr

Background in real-time perception or SLAM systems on embedded hardware * Demonstrated ability to work in multidisciplinary teams and communicate effectively across different engineering domains  ...

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Slam Engineer information

See Colorado salary details

$30.5K

$111K

$177.7K

How much do slam engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for slam engineer in Colorado is $111,045.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,800.00 and $133,500.00 per year, depending on experience, location, and employer.

What is a slam engineer?

A SLAM (Simultaneous Localization and Mapping) Engineer develops algorithms and systems that enable machines, like robots or AR/VR devices, to map their environment while tracking their own position. They work with sensor fusion, computer vision, and machine learning to enhance real-time navigation and spatial awareness. This role is crucial in robotics, autonomous vehicles, and augmented reality applications. A SLAM Engineer typically has expertise in C++, Python, ROS, and technologies like LiDAR and visual odometry.

What are the main projects and responsibilities I can expect as a slam engineer?

As a SLAM Engineer, you'll typically be responsible for developing, optimizing, and integrating algorithms that enable robots or autonomous devices to navigate and map their environments. This may involve working with sensor data from LiDAR, cameras, or IMUs, implementing real-time data processing pipelines, and testing your solutions in both simulated and real-world scenarios. You’ll often collaborate closely with robotics hardware engineers, software developers, and research scientists to ensure reliable system performance. Additionally, you may participate in field deployments, debugging sessions, and ongoing enhancements to keep up with the latest research and industry trends.

What are the key skills and qualifications needed to thrive in the slam engineer position, and why are they important?

To thrive as a SLAM Engineer, you need expertise in robotics, computer vision, and probabilistic state estimation, usually supported by a degree in computer science, robotics, or electrical engineering. Familiarity with tools like ROS (Robot Operating System), C++/Python programming, and experience with libraries such as OpenCV, PCL, or GTSAM are typically required. Strong problem-solving ability, attention to detail, and effective teamwork are crucial soft skills in this position. These capabilities are vital for developing and maintaining robust simultaneous localization and mapping solutions, ultimately ensuring high-performance autonomous systems.

How much do slam engineers make?

Slam engineers typically earn a median annual salary ranging from $70,000 to $120,000, depending on experience, location, and industry. They often require knowledge of robotics, automation, and control systems, and may work in manufacturing, logistics, or research environments.

What are the most commonly searched types of Slam Engineer jobs in Colorado?

The most popular types of Slam Engineer jobs in Colorado are:

What are popular job titles related to Slam Engineer jobs in Colorado?

For Slam Engineer jobs in Colorado, the most frequently searched job titles are:

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Slam Engineer jobs near you
Infographic showing various Slam Engineer job openings in Colorado as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $111,045 per year, or $53.4 per hour.

Machine Vision Engineer

Bleum USA, Inc.

Englewood, CO

Full-time

Re-posted 15 days ago

Job description

Company Description

Bleum is a high technology company with 3 main lines of business.  We began as a software outsourcing company with clients in West and development centers in China.  We also are a provider of consulting services for customers of JDA, a top supply chain software provider.  Our newest line of business that is our main growth driver going forward is designing, manufacturing and deploying advanced warehouse robotic systems.

Job Description

Help Bleum design the navigation method in our next generation robots.  We will be experimenting with Lidar, Stereo Vision, SLAM, BlueTooth Beacon and others.

Qualifications

Have a masters or PHD in field relevant to machine vision or a demonstrated track of self teaching.  We need you able to quickly demonstrate ability to do the basics like set up SLAM and build a map and create a simple route optimization algorithm.

Additional Information

It would be good if you have experimented with SLAM or other navigation methods.

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