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Responsibilities

• Design and own schemas and data models for production systems.
• Build and maintain data infrastructure on AWS.
• Develop an artifact store for scans, meshes, model checkpoints, and calibration files.
• Create edge-to-cloud pipelines connecting robotic cells and infrastructure.
• Build ML infrastructure, including training pipelines, dataset versioning, and model deployment.

Requirements

• 2+ years of experience building data infrastructure on AWS (application-side).
• Proficiency in schema design and data modeling, including distributed systems tradeoffs.
• Experience with ML infrastructure.
• Ability to work across the full stack, from data analysis to system design.
• Willingness to travel to customer sites.

Skills

• AWS
• Schema design
• Data modeling
• Distributed systems
• ML infrastructure
• Robotics
• Autonomy
• Industrial IoT
• Edge computing
• Manufacturing

Experience Level

• 2+ years