Robotics Autonomy Engineer - Federal Projects

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…