Software Engineer, MLOps

Field AI is transforming how robots interact with the real world by building risk-aware, reliable, and field-ready AI systems that address complex challenges in robotics.

Requirements

• Design and maintain GPU-based infrastructure for machine learning pipelines
• Collaborate closely with robotics teams to implement model serving infrastructure for edge/robot deployment
• Build tools and automation to support reproducible experiments, model versioning, and dataset management
• Deploy and manage ML services and inference pipelines using containerized environments
• Monitor model performance and system reliability across development and production environments
• Improve the efficiency, scalability, and reliability of ML workflows and infrastructure
• Work with cross-functional engineering teams to integrate ML components into robotics software systems

Benefits

• Competitive salary range
• Hybrid or remote work option
• Committed to creating an inclusive environment for all employees
• Equal employment opportunity