Field AI
Data Platform Engineer, Infrastructure
About this role
Field AI seeks a Data Platform Engineer to design and maintain the cloud infrastructure supporting their global robotics data platform. You'll build scalable systems that ingest and process telemetry from thousands of deployed robots while ensuring reliability, security, and cost efficiency.
What you'll do
- Design and operate cloud infrastructure supporting data ingestion from globally distributed robots
- Collaborate with pipeline and analytics engineers to ensure platform reliability and performance
- Implement monitoring, logging, and security measures for data systems handling sensitive operational data
- Optimize cloud costs as the robot fleet and data volume scale
- Support edge and robotics teams in integrating telemetry and sensor data
- Troubleshoot and resolve infrastructure incidents affecting data availability
What they're looking for
- Cloud platform expertise (AWS, GCP, or Azure)
- Infrastructure-as-code and configuration management
- Kubernetes or container orchestration
- Data pipeline and streaming architecture
- Networking and security best practices
- Monitoring and observability tools
- Python or Go scripting
- Database systems (relational and NoSQL)
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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 and scaling cloud infrastructure for data-intensive applications.
- How would you approach optimizing cloud costs while maintaining platform reliability?