3.11 Robotics Autonomy Engineer: Simulation

Field AI is transforming robotics by building risk-aware, reliable AI systems. They are seeking a Robotics Full Stack Simulation Engineer to develop, implement, and maintain autonomy software stacks, ensuring robots navigate seamlessly in challenging environments. This role involves autonomy engineering, software integration, hands-on robotics deployment, and cross-team collaboration, offering a chance to shape the future of robotics and work with a dynamic team.

Requirements

• Simulation Expertise in Robotics Environments: Proficient in deploying high-fidelity simulation environments (Gazebo, Isaac Sim, ROS2) for testing autonomy, sensor modeling, and control validation.
• 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.
• Strong Programming Skills: Proficiency in Python and C++ for algorithm development and system integration.
• Understanding of System Integration and Engineering for Autonomous Systems: Solid cross-domain knowledge across a wide range of robotic autonomy modules, including localization, perception, planning, and controls.
• Willingness 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.

Benefits

• Generous salary
• Hybrid or remote work option