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Slam Engineer Jobs (NOW HIRING)

Skild AI

Robotics Software Engineer

Pittsburgh, PA · On-site

$100K - $300K/yr

Position Overview We are seeking a versatile Robotics Software Engineer to develop and implement ... Your work will entail building systems for navigation, planning and controls, SLAM, manipulation ...

Grenzebach Hellas

Software Engineer

Newnan, GA · On-site

... SLAM (Simultaneous Localization and Mapping) navigation algorithms. • Develop and maintain ... Engineering, or related field • 2 years of experience developing software for robotics ...

SLR Search

Robotics Engineer

New York, NY

$150K - $250K/yr

... SLAM, motion planning, and C++/Python programming for robotic arms. -- Proven track record of shipping physical robotics products from concept to real-world operation.

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How much do slam engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for slam engineer 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 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.

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 programming tools such as ROS or C++ to perform their duties effectively.

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.

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Slam Engineer jobs near you
Infographic showing various Slam Engineer job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 60% In-person, 20% Hybrid, and 20% Remote job distribution, with an average salary of $105,605 per year, or $50.8 per hour.

Robotics Software Engineer

Skild AI

Pittsburgh, PA • On-site

$100K - $300K/yr

Full-time

Re-posted 22 days ago

Job description

Company Overview
At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.
Position Overview
We are seeking a versatile Robotics Software Engineer to develop and implement software solutions for our robotic systems. Your work will entail building systems for navigation, planning and controls, SLAM, manipulation, and/or perception. You should be comfortable working with both general-purpose and specialized robotics applications. This role involves close collaboration with research scientists and machine learning engineers to integrate state-of-the-art machine learning models into our robots.
Responsibilities
  • Design, implement, and test software to bring our robots to life, focusing on navigation, planning and control, SLAM, perception, manipulation, and/or high-level behaviors.
  • Write and maintain production-level C++ and Python code for our robotic platforms.
  • Collaborate with machine learning engineers and researchers to deploy state-of-the-art models on our robots.
  • Work with deployment and test engineers to deploy and monitor robotic solutions at various sites, ensuring robust performance and reliability.
  • Continuously improve and optimize robotic software for performance, reliability, and scalability.
Preferred Qualifications
  • BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
  • Proficiency developing in C++ or Python.
  • Prior experience developing and deploying software on real robots.
  • Strong systems-level understanding of the various software modules and their interfaces in a robotic application Strong technical experience in at least one of the following: navigation, motion planning and controls, SLAM, perception/computer vision, or manipulation.
  • Experience with ROS/ROS2 or other robotics middleware platforms.
  • Deep understanding and practical experience with software engineering principles, including algorithms, data structures, and system design.
  • Familiarity with machine learning integration and deployment in robotic systems.

Base Salary Range
$100,000-$300,000 USD

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