Autonomy Engineer

Field AI is 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? Field AI is looking for a Robotics Autonomy 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!

• 1. Autonomy Engineering
• 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 performance
• 2. Autonomy Systems Engineering
• Evaluate and design trade‑offs between compute, latency, power, and other key performance metrics for robotic systems.
• Integrate diverse software modules, ensuring seamless communication and synchronization across components.
• Establish and maintain system performance metrics to identify bottlenecks and optimize system behavior.
• Conduct iterative testing and refinement to ensure systems meet real‑world demands and constraints
• 3. Software Integration and Testing
• Work extensively with ROS (Robot Operating System) to develop, test, and integrate software modules.
• Conduct simulations and field tests to validate performance and optimize system behavior.
• 4. Hands‑On Robotics Deployment
• Collaborate 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.
• 5. Cross‑Team Collaboration
• Work 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.

• US Person: Required due to export control regulations and project requirements.
• 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. Experience with GPU programming (CUDA C++, PyTorch) a plus.
• 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.

• Experience with real‑time systems or robotics middleware.
• Familiarity with sensor integration and perception algorithms.
• Knowledge of machine learning techniques applied to robotics.
• Exposure to industrial robotics applications in sectors like…