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Robotics Engineer Localization Jobs (NOW HIRING)

Robotics Software Engineer (Perception & Localization) Job Location: Seattle, WA or San Francisco, CA (Onsite) Job Type: Full-Time Very Important: * Must work onsite in Seattle, WA or San Francisco ...

#LI-DNI Robotics Engineer Baton Rouge, LA What we do Integer Technologies is an applied research and ... localization, and control-tailored for real-world performance in constrained and uncertain ...

Extensive experience in vehicle localization technologies \n \n \n \n \n \n This Robotics Engineer is fully remote, but will require approximately 30% of the time on global travel according to the ...

#LI-DNI Robotics Engineer Baton Rouge, LA What we do Integer Technologies is an applied research and ... localization, and control-tailored for real-world performance in constrained and uncertain ...

#LI-DNI Robotics Engineer Baton Rouge, LA What we do Integer Technologies is an applied research and ... localization, and control-tailored for real-world performance in constrained and uncertain ...

Robotics Engineer Hinckley, IL On-site Position Summary The Robotics Engineer position combines ... Familiar with Localization as it relates to Robotics * Knowledge of algorithmic concepts such as ...

Robotics Engineer Hinckley, IL On-site Position Summary The Robotics Engineer position combines ... Familiar with Localization as it relates to Robotics * Knowledge of algorithmic concepts such as ...

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Robotics Engineer Localization information

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$29K

$105.6K

$169K

How much do robotics engineer localization jobs pay per year?

As of Jul 6, 2026, the average yearly pay for robotics engineer localization 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 does a Robotics Engineer specializing in Localization do?

A Robotics Engineer specializing in Localization focuses on developing algorithms and systems that enable robots to determine their exact position within a given environment. This involves using sensors, mapping technologies, and mathematical models to help robots navigate and understand their surroundings accurately. These engineers often work with technologies such as SLAM (Simultaneous Localization and Mapping), GPS, and computer vision to improve robotic autonomy. Their work is vital for applications like autonomous vehicles, drones, warehouse robots, and more.

What are the main challenges a Robotics Engineer specializing in Localization typically faces on the job?

Robotics Engineers focused on Localization often encounter challenges related to sensor noise, dynamic environments, and real-time data processing. Ensuring accurate positioning while robots operate in unpredictable or changing settings requires robust algorithms and frequent calibration. Collaboration with software developers and hardware teams is essential to integrate localization solutions with navigation and control systems. Staying updated with the latest advances in SLAM (Simultaneous Localization and Mapping) and sensor fusion technologies also plays a key role in overcoming these challenges.

What is the difference between Robotics Engineer Localization vs Robotics Engineer Navigation?

AspectRobotics Engineer LocalizationRobotics Engineer Navigation
Required CredentialsBachelor's or Master's in Robotics, Electrical, or Mechanical Engineering; experience with sensor fusion and SLAMBachelor's or Master's in Robotics, Electrical, or Mechanical Engineering; experience with path planning and environment mapping
Work EnvironmentResearch labs, manufacturing, autonomous vehicle developmentAutonomous vehicles, mobile robots, outdoor navigation systems
Industry UsageFocuses on determining a robot's position within a mapFocuses on planning routes and moving through environments

Robotics Engineer Localization specializes in determining a robot's position within a known environment, often using sensor data and algorithms like SLAM. Robotics Engineer Navigation builds upon localization to plan and execute movement through environments. Both roles require similar educational backgrounds but focus on different aspects of robot autonomy.

What are the key skills and qualifications needed to thrive as a Robotics Engineer specializing in Localization, and why are they important?

To thrive as a Robotics Engineer specializing in Localization, you need a solid background in robotics, computer science, and algorithms, often supported by a relevant degree and experience in sensor fusion and SLAM (Simultaneous Localization and Mapping). Proficiency with programming languages like C++ and Python, familiarity with ROS (Robot Operating System), and knowledge of sensor technologies such as LiDAR and IMU are typically required. Strong problem-solving skills, attention to detail, and effective collaboration make candidates stand out in this role. These skills and qualities are crucial for developing accurate and reliable localization systems that enable robots to navigate complex environments autonomously.
More about Robotics Engineer Localization jobs
What cities are hiring for Robotics Engineer Localization jobs? Cities with the most Robotics Engineer Localization job openings:
What are the most commonly searched types of Robotics Engineer Localization jobs? The most popular types of Robotics Engineer Localization jobs are:
Infographic showing various Robotics Engineer Localization job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $105,605 per year, or $50.8 per hour.
Robotics Engineer - Localization

Robotics Engineer - Localization

Prequel Solutions

Pittsburgh, PA โ€ข Hybrid

Full-time

Medical, Retirement

Posted 29 days ago


Job description

Robotics Software Engineer โ€“ Autonomous Mobile Robots (AMR) โ€“ HYBRID

Seeking qualified candidates for a Robotics Software Engineer position with an established technology company in Pittsburgh. This role will support both existing and next-generation autonomous mobile robots operating in large, complex indoor environments.

This position is ideal for an engineer with hands-on experience developing software for autonomous robots that navigate real-world environments using LiDAR, localization, mapping, navigation, and sensor integration. We are targeting candidates with at least 3 years of professional robotics software development experience and a strong understanding of autonomous navigation systems.

Candidates with experience in autonomous mobile robots (AMRs), autonomous vehicles, AGVs, warehouse robotics, logistics automation, healthcare robotics, or other mobile robotic platforms are highly desired. Experience focused primarily on robotic arms, manipulators, PLC programming, or traditional industrial automation is less applicable.

This is a hybrid position (3 days onsite / 2 days remote) and offers a competitive salary along with a comprehensive health and retirement benefits package.

Key Responsibilities

Develop and enhance software for autonomous mobile robot navigation and operation
Support localization, mapping, navigation, and sensor integration initiatives
Work with LiDAR, IMUs, odometry, and other robotic sensor technologies
Analyze robot performance data and troubleshoot navigation, positioning, and autonomy issues
Collaborate with perception, controls, and software engineering teams to improve overall system performance
Participate in simulation, testing, validation, and deployment of robotic software
Contribute to software architecture, code reviews, and engineering best practices
Develop reliable, maintainable software using modern C++ and ROS/ROS2 frameworks

Qualifications

Bachelor's Degree in Robotics, Computer Science, Engineering, or related technical field
3+ years of professional robotics software engineering experience
Strong C++ development experience
Experience with ROS or ROS2
Experience developing software for autonomous mobile robots (AMRs), autonomous vehicles, mobile robotic platforms, or similar autonomous systems
Experience working with LiDAR, IMUs, odometry, localization, navigation, mapping, or sensor fusion technologies
Strong understanding of autonomous robotics software architectures and real-time systems
Experience troubleshooting and improving robot performance in real-world operating environments