Robot Autonomy Engineer-Federal
AI summary of the role
Field AI seeks a Robot Autonomy Engineer to lead field deployment, integration, and reliability of wheeled autonomous robots for federal and commercial programs.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Lead end-to-end deployment of autonomous systems in customer environments, ensuring configuration, testing, and operational readiness.
- Troubleshoot and resolve technical issues quickly to maintain uptime and mission success.
- Gather and analyze field feedback to drive system reliability improvements and implement monitoring/diagnostic tools.
- Train and support customer operators, translating complex technical concepts into actionable workflows.
What you’ll bring
- Master's degree or higher in Robotics, CS, EE/ME, or related field (or equivalent practical experience).
- 2-3 years of experience in software engineering or systems integration in Field Robotics.
- Proficiency in Python, C++, Git, and ROS.
- Experience in field deployment of complex technical systems.
Technologies
Python · C++ · Git · ROS · Linux · containerization · cloud infrastructure · Jira · Wrike · Confluence
About Field AI
Field Foundation Models — embodiment-agnostic robot brains for quadrupeds, humanoids, wheeled and tracked robots in construction, energy, mining, and logistics.
Series D
Source and classification
Implementation & delivery · Evidence for this classification:
Who are We? 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. Learn more at https://fieldai.com. About the Job At FieldAI, we build autonomous robotic systems that operate in demanding, real-world environments where tight integration between hardware and software is critical. We’re looking for a Robot Autonomy Engineer to support testing, deployment, and integration of wheeled robotic platforms across both federal and commercial programs As a Robot
More from the job description
Who are We? 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. Learn more at https://fieldai.com. About the Job At FieldAI, we build autonomous robotic systems that operate in demanding, real-world environments where tight integration between hardware and software is critical. We’re looking for a Robot Autonomy Engineer to support testing, deployment, and integration of wheeled robotic platforms across both federal and commercial programs As a Robot Autonomy Engineer at Field AI, you’ll be at the forefront of bringing our autonomous systems to life in the real world, owning deployment, integration, and ongoing performance in the field. This role is equal parts engineering and problem-solving. You’ll work hands-on with both customers and our internal teams to ensure successful operations, rapidly incorporate field feedback to improve reliability and performance, and drive adoption so our systems become mission-critical from day one. If you thri [... source excerpt omitted ...] future of autonomy, this is the role where you’ll make it happen. What You’ll Get To Do 1. Field Deployment & Operations Lead the end-to-end deployment of autonomous systems in customer environments. Ensure systems are configured, tested, and operational under real-world conditions. Troubleshoot and resolve technical issues quickly to maintain uptime and mission success. 2. System Reliability & Performance Gather and analyze field feedback to identify areas for improvement. Work closely with product and engineering teams to drive enhancements into the core system. Implement monitoring and diagnostic tools to ensure sustained reliability. 3. Customer Enablement & Adoptio [... source excerpt omitted ...] s into clear, actionable workflows. Act as a trusted advisor to accelerate adoption and long-term value realization. 4. Cross-Functional Collaboration Serve as the voice of the customer, bringing field insights back to engineering and product teams. Collaborate across software, hardware, and AI research groups to deliver integrated solutions. Contribute to building scalable deployment practices and playbooks for future rollouts. What You Have Master’s degree or higher in Robotics, Computer Science, Electrical/Mechanical Engineering, or a related technical field (or equivalent practical experience). 2-3 years of experience in software engineering, systems integration in Fi
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