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Mobile Slam Engineer Jobs (NOW HIRING)

Brain Corp

Staff Autonomy Engineer

San Diego, CA

... Autonomous Mobile Robots (AMRs) in operation in commercial public spaces, Brain Corp delivers ... Set technical direction for major areas of the autonomy stack - perception, SLAM, prediction ...

Brain Corp

Staff Autonomy Engineer

San Diego, CA · On-site

... Autonomous Mobile Robots (AMRs) in operation in commercial public spaces, Brain Corp delivers ... Set technical direction for major areas of the autonomy stack - perception, SLAM, prediction ...

Hayden AI

Senior State Estimation Engineer

San Francisco, CA · On-site

$200.45K - $260.59K/yr

... mobile perception system empowers our clients to accelerate transit, enhance street safety, and ... Experience deploying SLAM/VIO estimators in a real-world application. * Work with multiple sensors ...

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How much do mobile slam engineer jobs pay per hour?

As of May 30, 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 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 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 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 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 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:
Mobile Slam Engineer jobs near you

Robotics Perception Engineer I/II - Perception Systems & Integration

Zone 5 Technologies

San Luis Obispo, CA

Other

Posted 18 days ago

Job description

We are seeking a Robotics Perception Engineer to build and integrate real-time vision systems and perception infrastructure for unmanned aerial platforms. You will develop camera pipelines, implement sensor fusion algorithms, and create robust testing frameworks to ensure reliable perception performance across diverse operating conditions. 

Responsibilities: 

Vision System Integration 

  • Develop and maintain camera drivers and sensor interfaces for multi-camera systems on embedded platforms
  • Integrate off-the-shelf and custom perception algorithms into production autonomy stacks
  • Build efficient image processing pipelines using GStreamer, V4L2, and Jetson multimedia APIs
  • Implement camera calibration workflows including intrinsic, extrinsic, and temporal synchronization
  • Design data logging and telemetry systems for perception subsystem monitoring and debugging 

Perception Infrastructure & ROS2 Development 

  • Build ROS2 nodes for camera capture, sensor fusion, and perception output distribution 
  • Develop standardized message interfaces and APIs between perception, planning, and control systems 
  • Create visualization and diagnostic tools for real-time perception system health monitoring 
  • Implement efficient data serialization and transport for high-bandwidth sensor streams 
  • Maintain perception software repositories with proper documentation and version control 

Algorithm Implementation & Tuning 

  • Integrate visual-inertial odometry (VIO) and SLAM libraries for state estimation 
  • Tune EKF/UKF filters for multi-sensor fusion from IMU, cameras, barometers, and rangefinders 
  • Implement outlier rejection and sensor health monitoring for robust operation 
  • Optimize algorithm parameters based on flight test data and performance metrics 

Testing & Validation 

  • Design comprehensive test scenarios in simulation environments 
  • Develop automated regression test suites for continuous integration of perception updates 
  • Analyze flight logs and sensor data to identify failure modes and performance degradation 
  • Create hardware-in-the-loop test setups for pre-flight validation 
  • Support flight test operations and conduct post-flight performance analysis 

Qualifications:

  • 2-4+ years of experience in robotics perception, computer vision, or sensor integration 
  • Bachelor's in Robotics, Aerospace Engineering, Computer Science, Electrical Engineering, or related field - equivalent industry experience also welcome
  • Proficient in C++14/17 with understanding of modern software development practices 
  • Strong hands-on experience with ROS2 architecture, packages, and development workflows 
  • Solid understanding of camera systems, image sensors, and computer vision fundamentals 
  • Experience with sensor calibration procedures and multi-sensor time synchronization 
  • Familiarity with Linux development environments and embedded systems 
  • Strong debugging skills and experience with system-level integration 

Preferred: 

  • Experience with camera drivers, GStreamer, V4L2, or similar multimedia frameworks 
  • Hands-on experience with NVIDIA Jetson platforms (Orin, Xavier, AGX) 
  • Prior work with small UAVs, drones, or mobile robotics platforms 
  • Familiarity with PX4 or ArduPilot autopilot systems and MAVLink protocol 
  • Experience with state estimation techniques (EKF, UKF, particle filters) 
  • Knowledge of VIO/SLAM frameworks (OpenVINS, VINS-Fusion, ORB-SLAM) 
  • Python skills for data analysis, visualization, and tooling development 
  • Understanding of real-time systems and computational performance optimization 
  • Experience with CI/CD pipelines for robotics software 
    • Background in sensor fusion, optical flow, or feature-based tracking 

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