Field AI
Software Engineer, Verification and Validation (Perception)
About this role
FieldAI seeks a Software Engineer to verify and validate perception systems for embodied AI robots in real-world deployments. You'll ensure reliability and performance of perception algorithms across hardware and field operations in a robotics-focused environment.
What you'll do
- Develop and execute verification and validation testing for perception systems
- Test perception algorithms on real robots and hardware platforms
- Analyze field deployment data to improve system reliability
- Create testing frameworks and validation methodologies
- Collaborate with robotics and ML teams on perception integration
- Document and report on perception system performance metrics
What they're looking for
- Software testing and validation
- Perception systems or computer vision
- Robotics hardware experience
- Python or C++
- Data analysis
- Problem-solving in real-world contexts
- Automated testing frameworks
- Technical documentation
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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
- Can you describe your experience with perception systems in robotics, and what challenges have you encountered when validating sensor data in real-world deployments?
- How have you approached testing and validating AI models on actual hardware versus simulation, and what gaps did you find between the two?