ZipRecruiter

Log In

1

Slam Autonomous Navigation Jobs (NOW HIRING)

Hyphen Connect Limited

SLAM Architect (Robotics)

Boston, MA · On-site

$60 - $82.25/hr

We are seeking a skilled SLAM Architect to drive the development of advanced autonomous navigation systems. This role involves creating innovative solutions for Visual-Inertial SLAM, dynamic obstacle ...

Hyphen Connect Limited

SLAM Architect (Robotics)

Seattle, WA · On-site

$63 - $86.25/hr

We are seeking a skilled SLAM Architect to drive the development of advanced autonomous navigation systems. This role involves creating innovative solutions for Visual-Inertial SLAM, dynamic obstacle ...

Hyphen Connect Limited

SLAM Architect (Robotics)

Seattle, WA · On-site

$63 - $86.25/hr

We are seeking a skilled SLAM Architect to drive the development of advanced autonomous navigation systems. This role involves creating innovative solutions for Visual-Inertial SLAM, dynamic obstacle ...

next page

Showing results 1-20

People also search for

All JobsSlam Autonomous Navigation Jobs

Slam Autonomous Navigation information

See salary details

$29K

$105.6K

$169K

How much do slam autonomous navigation jobs pay per year?

As of Jun 5, 2026, the average yearly pay for slam autonomous navigation in the United States is $105,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $127,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced when working in SLAM Autonomous Navigation roles, and how can they be addressed?

Professionals in SLAM (Simultaneous Localization and Mapping) Autonomous Navigation often encounter challenges such as dealing with sensor noise, real-time processing constraints, and dynamic environments where objects move unpredictably. Overcoming these challenges typically involves implementing robust sensor fusion algorithms, optimizing computational efficiency, and continuously testing navigation systems in varied real-world scenarios. Collaboration with multidisciplinary teams, including hardware engineers and software developers, is vital to iteratively improve system reliability and adaptability.

What are the key skills and qualifications needed to thrive as a SLAM Autonomous Navigation Engineer, and why are they important?

To thrive as a SLAM Autonomous Navigation Engineer, you need expertise in robotics, computer vision, and probabilistic algorithms, typically supported by a degree in computer science, robotics, or a related field. Familiarity with tools like ROS (Robot Operating System), C++/Python programming, and experience with sensor integration (e.g., LiDAR, cameras, IMUs) are commonly required. Strong problem-solving skills, attention to detail, and the ability to work collaboratively in multidisciplinary teams are important soft skills. These competencies are crucial for developing reliable and efficient autonomous navigation systems that safely interpret and interact with complex real-world environments.

What is the difference between Slam Autonomous Navigation vs SLAM Technician?

AspectSlam Autonomous NavigationSLAM Technician
Required CredentialsAdvanced degrees in robotics, computer science, or related fields; experience with autonomous systemsTechnical certifications in robotics, sensor calibration, and SLAM software; hands-on experience
Work EnvironmentResearch labs, autonomous vehicle development, field testingInstallation, maintenance, and troubleshooting of SLAM systems in various settings
Industry UsageAutonomous vehicles, robotics, mapping, navigationRobotics companies, research institutions, industrial automation

While Slam Autonomous Navigation focuses on developing and implementing autonomous navigation systems using SLAM algorithms, SLAM Technicians primarily handle the installation, calibration, and maintenance of SLAM hardware and software. Both roles require knowledge of SLAM technology but differ in scope and responsibilities within the robotics and autonomous systems industry.

What is SLAM Autonomous Navigation?

SLAM Autonomous Navigation refers to the use of Simultaneous Localization and Mapping (SLAM) techniques in robots or vehicles to autonomously navigate unknown environments. Using sensors like LiDAR, cameras, or sonar, SLAM algorithms build a map of the surroundings while tracking the robot’s position within it. This enables robots to move safely without prior knowledge of the environment and is widely used in robotics, drones, and self-driving cars. SLAM is crucial for real-time decision-making and efficient path planning in dynamic or unstructured settings.
Infographic showing various Slam Autonomous Navigation job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 95% Full Time, 1% Temporary, and 3% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $105,605 per year, or $50.8 per hour.

SLAM Architect (Robotics)

Hyphen Connect Limited

San Francisco, CA

$65 - $89.25/hr

Other

Posted 12 days ago

Job description

We are seeking a skilled SLAM Architect to drive the development of advanced autonomous navigation systems. This role involves creating innovative solutions for Visual-Inertial SLAM, dynamic obstacle avoidance, and path planning to enhance our robotic platforms.

Responsibilities:

  • Develop robust Visual-Inertial SLAM (Simultaneous Localization and Mapping) pipelines.
  • Implement dynamic obstacle avoidance and predictive path planning.
  • Optimize algorithms for low-compute edge deployment on the robot.

Qualifications:

  • Advanced knowledge of state estimation, Kalman filters, and factor graphs.
  • Experience with ROS2/Nav2 and point cloud processing (PCL).
  • Proven track record of deploying autonomous navigation in real-world settings.

Apply