Autonomy Software Engineer Mapping and Localization

About Noble Machines

Noble Machines (formerly Under Control Robotics) builds multipurpose robots to support human workers in the worlds toughest jobsturning dangerous work from a necessity into a choice. Our work demands reliability robustness and readiness for the unexpectedon time every time. Were assembling a mission-driven team focused on delivering real impact in heavy industry from construction and mining to energy. If youre driven to build rugged reliable products that solve real-world problems wed love to talk.

Position Overview

At Noble Machines building robots is a team sport. As a Robotics Autonomy Engineer youll take ownership and lead the development of autonomy systems that power our multipurpose robots across diverse and unstructured environments. Youll design implement and optimize cutting-edge localization mapping navigation and SLAM systemsincluding advanced techniques such as 3D Gaussian Splatting NeRFs and other neural or volumetric methodsthat enable our robots to perceive understand and act in the real world with confidence.

Responsibilities

• Develop and maintain real-time mapping localization and navigation software for mobility robotic systems
• Build scalable SLAM pipelines using a mix of sensors including LiDAR vision and IMU
• Implement 3D scene representations using cutting-edge techniques such as 3D Gaussian Splatting NeRFs and other neural or volumetric methods
• Integrate localization and mapping modules with motion planning and control systems
• Deploy robust autonomy stacks to on-board compute platforms and validate them in both simulation and real-world testing
• Analyze and tune performance of perception and SLAM systems in challenging environments
• Collaborate with mechanical electrical and software engineers to develop co-designed autonomy solutions
• Write clean modular production-quality code with thorough documentation and testing
• Operate and support robots during field testing and customer deployment

Requirements

• 4 years of experience working in robotics autonomy or a closely related field
• Strong foundation in SLAM probabilistic localization 3D reconstruction and navigation algorithms
• Deep experience with C and Python especially in real-time robotics or embedded systems
• Experience building and deploying autonomy stacks using frameworks such as ROS or ROS2
• Proven ability to develop algorithms for sensor fusion and state estimation (e.g. EKF UKF particle filters)
• Hands-on experience with real robot systemsground legged or aerial platforms
• Familiarity with 3D mapping techniques including voxel grids mesh reconstruction and Gaussian Splatting
• Demonstrated rapid growth and technical ownership on complex autonomy projects
• Ability to prioritize and execute tasks in a fast-paced dynamic environment
• Excellent communication and collaboration skills across disciplines

Nice to Have

• Experience with GPU-accelerated vision or perception pipelines (CUDA TensorRT)
• Exposure to deep learning-based SLAM view synthesis or scene understanding techniques
• Experience with multirobot SLAM loop closure or graph optimization frameworks
• Contributions to open-source robotics or perception libraries
• Comfort debugging hardware/software integration in field settings
• Experience with autonomy in unstructured or GPS-denied environments
• Strong understanding of simulation frameworks (e.g. Gazebo Isaac Sim Unity Robotics)

To apply submit your resume here or email .To increase your chances of being selected for an interview we encourage you to include a public portfolio of your most representative work featuring your individual contributions and public demonstrations of autonomy or SLAM systems.