Job Title

The venture-backed robotics startup currently operating in stealth develops autonomous robotic systems that use multi-modal sensing and AI-driven mapping to revolutionize mineral exploration, making discovery faster, cheaper, and more efficient.Are you passionate about robotics and software engineering? Do you thrive on creating robust algorithms and deploying cutting-edge autonomous systems in real-world scenarios? We are looking for a Founding Robotics Engineer to join our dynamic team. In this role, you will develop, implement, and maintain state-of-the-art autonomy software stacks, ensuring our robots navigate and perform tasks seamlessly in challenging environments. This is your chance to shape the future of robotics and work alongside a team that values innovation, hands-on expertise, and impact-driven results. If you’re a software-savvy robotics enthusiast eager to take on exciting challenges and make a tangible difference, this is the opportunity for you!What You Will Get To DoAlgorithm DevelopmentDesign and implement next-generation AI-powered Trustable Robotic Autonomy and Foundation Intelligence. Pioneer risk-aware, uncertainty-driven decision-making architectures that enable autonomous robots to navigate unstructured, high-stakes environments. Reimagine planning algorithms, trajectory optimization, and task scheduling as a fusion of probabilistic reasoning, geometric intelligence, and adaptive AI, ensuring precise and reliable robot motion in dynamic environments. Develop algorithms to assess environmental conditions and support autonomous decision-making Design evaluation frameworks to measure the performance of perception and navigation systems Integrate and analyze multi-sensor data to enhance situational awareness and risk assessment Create systematic approaches to validate and improve system predictions across diverse operating scenarios Collaborate across perception, planning, and controls to develop benchmarks and metrics for system-wide performanceSoftware Integration and TestingWork extensively with ROS (Robot Operating System) and ROS2 to develop, test, and integrate next-gen autonomous intelligence modules. Design, implement, and test real-world and simulation- learning loops, where self-evolving models refine planning, control, and perception through real-world interaction. Conduct field tests to validate performance and optimize system behavior.Hands-On Robotics DeploymentCollaborate with hardware teams to ensure seamless software-hardware integration. Travel to customer sites to deploy, calibrate, and fine-tune robotic systems in diverse and challenging real-world conditions.Cross-Team CollaborationWork closely with other engineering teams to align development efforts and achieve cohesive system performance Communicate effectively with non-technical stakeholders to explain robotic capabilities and project progress.What You HaveAdvanced degree (Master’s or PhD.) in Robotics, Computer Science, Electrical Engineering, or a related field with 3+ years industry experience, or a Bachelor's degree with field experience. Strong programming skills: Proficiency in Python and C++ for algorithm development and system integration. Proficiency in ROS (Robot Operating System): Experience developing and integrating robotic software solutions. Hands-On Robotics Experience: Practical experience working with autonomous robotic systems, including testing and deployment in the field. Understanding of Planning and Controls: Solid knowledge of path planning, control theory, and trajectory optimization. Ability and availability to travel: Ability and eagerness to travel to customer sites for deployments, testing, and troubleshooting (up to 30% travel). Excellent Communication Skills: Ability to convey complex technical concepts clearly to diverse audiences.What Will Set You ApartExperience with GPU programming (CUDA C++, PyTorch) a significant plus. Experience with real-time systems or robotics middleware. Familiarity with sensor integration and perception algorithms. Familiarity with sensors like Lidars, Cameras, High Precision IMUs, hyperspectral cameras, Ground Penetrating Radars, and Spectrometers. Knowledge of machine learning techniques applied to robotics. Exposure to industrial robotics applications in sectors like construction, mining, or manufacturing. Experience working in harsh or outdoor environments. Experience working with humanoid or legged robots. Understanding of safety standards and compliance in robotics. Experience deploying autonomous systems in real-world environments Background in building large-scale datasets for system evaluation Understanding of uncertainty modeling in environmental perception Contributions to open-source projects or research in autonomous systems evaluation