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Mobile Slam Engineer Jobs (NOW HIRING)

... engineering, and high-precision dimensional control surveys for indoor mapping, industrial alignment, and verification. * Operate and manage SLAM mobile scanners, terrestrial laser scanners (e.g ...

Architect and develop robotics software in ROS/ROS2 for autonomous mobile robots, from motion and ... Build and optimize systems involving SLAM navigation, sensor fusion, path & motion planning, and ...

Architect and develop robotics software in ROS/ROS2 for autonomous mobile robots, from motion and ... Build and optimize systems involving SLAM navigation, sensor fusion, path & motion planning, and ...

... engineering, and high-precision dimensional control surveys for indoor mapping, industrial alignment, and verification. * Operate and manage SLAM mobile scanners, terrestrial laser scanners (e.g ...

Senior Autonomy Engineer

San Diego, CA · On-site

$110K - $152K/yr

... Autonomous Mobile Robots (AMRs) in operation in commercial public spaces, Brain Corp delivers ... Design, train, and deploy machine learning systems for perception, SLAM, prediction, and motion ...

Senior Autonomy Engineer

San Diego, CA · On-site

$110K - $152K/yr

... Autonomous Mobile Robots (AMRs) in operation in commercial public spaces, Brain Corp delivers ... Design, train, and deploy machine learning systems for perception, SLAM, prediction, and motion ...

Architect and develop robotics software in ROS/ROS2 for autonomous mobile robots, from motion and ... Build and optimize systems involving SLAM navigation, sensor fusion, path & motion planning, and ...

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Mobile Slam Engineer information

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$93

How much do mobile slam engineer jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for mobile slam engineer in the United States is $60.14, according to ZipRecruiter salary data. Most workers in this role earn between $45.67 and $78.37 per hour, depending on experience, location, and employer.

What is the difference between Mobile Slam Engineer vs Mobile App Developer?

AspectMobile Slam EngineerMobile App Developer
Primary FocusOptimizing mobile ad campaigns and integrating ad solutionsDesigning, developing, and maintaining mobile applications
Required SkillsMobile advertising platforms, SDK integration, performance analysisProgramming languages (Swift, Java), UI/UX design, app development frameworks
Work EnvironmentAd tech companies, marketing agencies, mobile app companiesSoftware development firms, startups, tech companies
CertificationsMobile advertising certifications, SDK proficiencyMobile development certifications, programming courses

While both roles work within the mobile industry, a Mobile Slam Engineer specializes in optimizing mobile ad campaigns and integrating ad solutions, whereas a Mobile App Developer focuses on creating and maintaining mobile applications. The roles differ in their core responsibilities but often collaborate within the same industry environment.

What is a Mobile SLAM Engineer?

A Mobile SLAM Engineer is a professional who specializes in developing and implementing Simultaneous Localization and Mapping (SLAM) algorithms for mobile devices such as smartphones, tablets, or robots. SLAM is a technology that enables devices to map their environment and track their location in real-time, which is essential for applications like augmented reality, robotics, and autonomous navigation. Mobile SLAM Engineers work on optimizing these algorithms for resource-constrained platforms, ensuring they run efficiently and accurately on mobile hardware. Their work often involves software development, sensor integration, and testing in real-world environments.

What are some common challenges Mobile SLAM Engineers face when deploying algorithms on resource-constrained devices?

Mobile SLAM Engineers often encounter challenges such as optimizing algorithm efficiency to run in real-time on devices with limited processing power and memory. Balancing accuracy and computational load is crucial, as robust SLAM performance can be resource-intensive. Additionally, engineers must address issues like sensor noise, environmental variability, and battery consumption, all while ensuring reliable localization and mapping. Close collaboration with hardware teams and software optimization specialists is often necessary to overcome these challenges.

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

To thrive as a Mobile SLAM Engineer, you need a strong background in computer vision, robotics, and mathematics, typically supported by a relevant engineering or computer science degree. Expertise in programming languages such as C++ and Python, along with proficiency in SLAM frameworks (e.g., ORB-SLAM, RTAB-Map) and experience with tools like ROS and OpenCV, is commonly required. Strong problem-solving skills, adaptability, and effective communication help you collaborate across interdisciplinary teams and tackle complex technical challenges. These skills and qualifications are crucial for developing robust, real-time localization and mapping solutions essential to mobile robotics and AR/VR applications.
What cities are hiring for Mobile Slam Engineer jobs? Cities with the most Mobile Slam Engineer job openings:
What are the most commonly searched types of Slam Engineer jobs? The most popular types of Slam Engineer jobs are:
What states have the most Mobile Slam Engineer jobs? States with the most job openings for Mobile Slam Engineer jobs include:
Principal Engineer, Mapping and Localization

Principal Engineer, Mapping and Localization

PlusAI

Santa Clara, CA • On-site

$200K - $240K/yr

Full-time

Retirement

Posted 11 days ago


Job description

PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World's Most Innovative Companies. Partners including TRATON GROUP's Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you're ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.
As a Principal Engineer on our Mapping and Localization team, you will design and implement high-fidelity fusion algorithms that combine LiDAR, Radar, Camera, IMU, and GNSS data with HD Maps to achieve centimeter-level accuracy. You will tackle the hardest edge cases-from GPS-denied tunnels to dynamic construction zones-ensuring our vehicles operate safely in complex L4 ODDs (Operational Design Domains).
Responsibilities:
  • Lead the design and evolution of our localization architecture, making critical build-vs-buy decisions and defining long-term technical roadmaps.
  • Design and implement robust, real-time algorithms for sensor fusion, visual/LiDAR odometry, and global localization using techniques like Factor Graphs, EKF/UKF, and particle filters.
  • Develop pipelines to generate, maintain, and query High-Definition (HD) maps.
  • Work on "priors-based" localization and semantic map matching.
  • Solve the "stale map" problem by designing systems for change detection. You will use fleet data to identify construction zones, lane shifts, or new signage and update the map in near real-time. Maintain and continuously update large-scale LiDAR-based HD maps to support autonomous driving systems.
  • Optimize code for embedded compute constraints (latency, memory, and power) without sacrificing safety or accuracy.
  • Provide self diagnosis capability for localization
  • Act as a technical mentor to senior and junior engineers, conducting rigorous code reviews and fostering a culture of engineering excellence.

Required Skills:
  • M.S. or Ph.D. in Robotics, Computer Science, Electrical Engineering, or a related field.
  • 7+ years of industry experience in robotics, with at least 4 years dedicated to production-level localization or mapping systems.
  • Expert-level Modern C++ (14/17/20) skills, with a deep understanding of memory management, multi-threading, and real-time systems.
  • Strong theoretical foundation in probabilistic robotics, including Kalman Filtering (EKF, UKF), nonlinear optimization (Ceres, g2o, GTSAM), and SLAM.
  • Deep understanding of 3D geometry, linear algebra, and coordinate transformations (quaternions, SE(3)).
  • Familiarity with Eigen, Ceres, PCL, OpenCV, GTSAM

Preferred Skills:
  • Experience shipping localization stacks for deployed autonomous vehicles or mobile robots.
  • Hands-on experience with LOAM, lego-LOAM, ORB-SLAM, or VINS.
  • Experience with CUDA/GPU programming or optimization for ARM-based embedded platforms.

$200,000 - $240,000 a year
Your opportunities joining PlusAI
Work, learn and grow in a highly future-oriented, innovative and dynamic field.
Wide range of opportunities for personal and professional development.
Catered free lunch, unlimited snacks and beverages.
Highly competitive salary and benefits package, including 401(k) plan.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.