Mobile Robots Intern - AGV SLAM Research & Enhancement

We are seeking a highly motivated Intern to join our Mobile Robots team and contribute to advancing real-world autonomous navigation systems. This role focuses on applied research and production-oriented development of state-of-the-art SLAM, perception and localization algorithms for autonomous guided vehicles (AGVs).

The ideal candidate is passionate about robotics and has strong foundations in SLAM, state estimation, and multi-sensor fusion, with a desire to work on systems that operate outside controlled lab environments.

We offer:

• Career Development
• Competitive Compensation and Benefits
• Pay Transparency
• Global Opportunities
   

Learn More Here: https://www.dematic.com/en-us/about/careers/what-we-offer/

Dematic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
 

The base pay range for this role is estimated to be $19.00 - $23.00 per hour at the time of posting. Final compensation will be determined by various factors such as work location, education, experience, knowledge, and skills.

Tasks and Qualifications:

What Makes This Role Unique

• Work on real industrial autonomous vehicles, not just simulations
• Solve production-grade autonomy problems in challenging environments
• Influence systems that are deployed at scale in logistics and automation
• Collaborate with experienced robotics engineers bridging research and production
   

What You Will Do in this Role:

• Design, implement, and evaluate advanced SLAM and localization algorithms
• Work within and extend ROS2-based real-time systems
• Deploy and validate algorithms on real AGV platforms, analyzing performance in dynamic industrial environments
• Build simulation and validation tools
• Collaborate with production engineering teams to transition research into robust, deployable solutions
• Document experimental methodology, analyze results, and present insights to technical stakeholders​

What We are Looking For:

• Pursuing a degree in Computer Science, Robotics, Electrical/Mechanical Engineering, or related field (GPA 3.0+)
• Strong programming skills in at least one of the following programming languages: C++, Python, or Rust
• Solid understanding of:
  • Robotics fundamentals (kinematics, coordinate frames, transforms)
  • Linear algebra, probability, and optimization
     

Preferred (Strong Differentiators):

• Hands-on experience with:
  • SLAM systems (graph-based SLAM, visual SLAM, LiDAR SLAM)
  • Factor graphs and pose graph optimization (GTSAM, g2o)
  • State estimation techniques (KF, EKF, UKF)
  • Sensor fusion (LiDAR + IMU + wheel odometry)
• Experience with ROS2, including node architecture and real-time pipelines
• Exposure to:
  • Simulation environments (Gazebo, Isaac, or similar)
  • Robotics testing methodologies (Monte Carlo validation, regression testing)
• Prior academic or personal projects in autonomous systems, robotics, or computer vision
   

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