Job Description

Job Description

Job Description

Mine Vision Systems (MVS) is dedicated to providing advanced workflow-integrated perception which improve speed, safety and productivity for the mining industry. We are a spinout from Carnegie Mellon University’s National Robotics Engineering Center, and are located in Pittsburgh’s East Liberty neighborhood. Following the successful product launch of our FaceCapture™ Mapping System, we are in a growth mode and we are seeking a Sr. Robotics Software Engineer to join our team.

As a Sr. Robotics Software Engineer, you will be responsible for designing, implementing, simulating, testing, and iteratively refining advanced software systems and algorithms for integrated robotic systems used in mining applications. This role places a strong emphasis on SLAM (Simultaneous Localization and Mapping), perception, and sensor fusion to enable autonomy in environments where global positioning data is unavailable.

You will help bridge cutting-edge robotics research with robust, deployable solutions that work in the harshest real-world conditions.

• Design and implement algorithms for perception, localization, and mapping to solve complex real-world mining challenges.
• Develop robust SLAM and multi-sensor fusion pipelines using LiDAR, camera, IMU, and other sensor modalities.
• Produce production-quality software suitable for commercial deployment in industrial robotics.
• Rigorously test and validate solutions under a wide range of mining environments, including GPS-denied and dynamically changing conditions.
• Collaborate with cross-functional teams (hardware, field operations, AI/ML) to integrate perception systems into the broader autonomy stack.
• Support field deployments and trials at customer sites (up to ~10% travel).
  
   

• 6+ years of experience working with field robotic systems, sensors, or autonomous platforms.
• Master’s degree in Computer Science, Robotics, Computer Engineering, or related field (PhD preferred, but not required).
• Proficiency in Modern C++ (17) and Python for robotics applications.
• Strong experience with ROS/ROS2 and robotics middleware.
• Deep expertise in SLAM and perception algorithms, including visual odometry, graph optimization, loop closure, and multimodal sensor fusion.
• Experience with point cloud processing and analysis.
• Strong understanding of probabilistic estimation techniques (Kalman filters, particle filters, Bayesian methods).
• Proficiency with sensor data processing from LiDAR, cameras, and IMUs.
• Solid understanding of Linux development environments and professional software engineering practices (design, testing, CI/CD, code reviews, version control).
• Strong communication skills, initiative, and ability to work across multidisciplinary teams.
  
   

• Experience with GPU acceleration (CUDA) and parallelization.
• Familiarity with NVIDIA Jetson platforms and embedded robotics development.
• Experience with semantic SLAM or perception-driven mapping (integrating object detection/scene understanding).
• Knowledge of OpenGL, visualization tools (e.g., RViz, matplotlib, pandas), and data analysis pipelines.
• Experience with multi-robot SLAM or distributed mapping.
• Familiarity with calibration and synchronization of large-scale, multi-modal sensor systems.
• Background in safety-critical systems or field robotics in harsh/industrial environments.
  
   

• Opportunity to solve hard perception problems in the mining industry where SLAM and perception make a direct impact.
• Work on cutting-edge robotics challenges in GPS-denied, harsh environments.
• Collaborate with a passionate, multidisciplinary team bringing advanced research into production.
• Full benefits: medical, dental, vision, disability, life insurance, 401(k) with match
• Uncounted PTO policy and flexible hybrid work model
• Small team that allows for immediate impact and showcasing of your talents
• Opportunity for hands-on work with cutting edge technology

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