Robotics Autonomy Engineer: Simulation

Field AIis transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

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 Robotics Full Stack Simulation 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!

Field AIis transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

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 Robotics Full Stack Simulation 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!

• Develop and integrate autonomy stacks (perception, planning, control) across simulation and real-world deployments
• Buildreal-to-sim pipelinesusing3D reconstruction (NeRF, Gaussian Splatting, photogrammetry)for realistic sensor and environment modeling
• Deploy high-fidelity simulation workflows (Isaac Sim, Gazebo, ROS2) to validate autonomy algorithms
• Collaborate with hardware teams to bring robots from lab to field — from system modeling to real-world testing

• Bachelor’s or Master’s in Robotics, Computer Science, Electrical Engineering, or related field
• 2+ years of experience in robotics software development
• Strong skills inPython, C++, and familiarity withROS2
• Hands-on experience inrobotics simulationandfield deployment
• Understanding of autonomy modules — localization, perception, planning, and control
• Experience with3D reconstructionordomain adaptationis a plus

• Experience withGPU programming (CUDA, PyTorch)ormachine learning for robotics
• Background inoff-road / outdoor roboticsor industrial settings
• Familiarity with safety standards or real-time middleware

• Work at the frontier of autonomy — bridging the gap between simulation and reality
• Build systems that go from digital twin to deployed robots in challenging real-world environments
• Collaborate with a world-class, hands-on team focused on delivering real autonomy

Compensation and Benefits

Our salary range is between ($70,000 - $300,000 annual), but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. Also, while we…