Field AI
Robotics Autonomy Engineer - Safety
About this role
FieldAI is seeking a Robotics Autonomy Engineer focused on Safety to develop and validate risk-aware AI systems for deployed robots in Southern California. You'll combine rigorous engineering with machine learning to ensure reliable, field-tested autonomy solutions that operate safely in real-world environments.
What you'll do
- Design and implement safety-critical autonomy systems for deployed robotic platforms
- Develop risk assessment and mitigation strategies for field operations
- Validate AI models and control systems through hardware testing and real-world deployments
- Collaborate with robotics and sensor teams to integrate autonomy with physical systems
- Conduct safety analysis and establish operational constraints for autonomous behaviors
- Iterate on deployed solutions based on field performance data
What they're looking for
- Robotics autonomy and motion planning
- Safety-critical system design
- Machine learning and perception systems
- C++ or Python for robotics
- Real-time control systems
- Hardware-in-the-loop testing
- Risk assessment and formal verification
- Sensor integration and data processing
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Field AI
Field AI develops embodied AI and autonomous robotics systems for real-world deployment in industrial environments like oil & gas and mining. The company is hiring software engineers to build web-based systems, perception and validation pipelines, test infrastructure, ROS-based robotic software, and customer-facing products that integrate AI with field-deployed hardware.
View all jobs at Field AILikely interview questions
- Describe your experience designing safety systems for autonomous robots or vehicles. How did you validate safety-critical behavior?
- What approaches have you used to quantify and mitigate risk in real-world robotic deployments?