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.

Key Responsibilities

• 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).
  
   

Skills & Qualifications

• 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.
  
   

Nice to Haves

• 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.
  
   

Why Join Us?

• 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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