AI Infrastructure Engineer: Edge-to-Cloud ML

Dormont Manufacturing Co; Menlo Park (CA); On-site; USD 120,000 - 150,000; Full time

Job summary

Dormont Manufacturing Co is looking for an AI Infrastructure Engineer in Menlo Park, California to design and operate data systems for MatterOS. You'll manage edge-to-cloud data pipelines, GPU infrastructure for model training, and ensure contextual data capture for AI applications.

The ideal candidate has 3+ years of experience in ML infrastructure or data engineering, proficiency in Python, and familiarity with distributed data systems. This role offers the chance to build autonomous manufacturing infrastructure from scratch.

Qualifications

• 3+ years of experience in ML infrastructure, MLOps, or data engineering.
• Strong command of distributed data systems.
• Experience with GPU cluster management and distributed training.

Responsibilities

• Design and maintain the edge-to-cloud data pipeline.
• Build and manage GPU compute infrastructure.
• Implement the data collection layer for modular assembly workcells.
• Develop feature engineering pipelines for AI models.
• Manage model deployment to edge hardware.
• Build observability systems for model performance.
• Collaborate with AI researchers on infrastructure specifications.

Skills

ML infrastructure experience

Distributed data systems

GPU cluster management

Proficiency in Python

Systems thinking

Tools

Kafka

Flink

InfluxDB

SLURM

Job description

Dormont Manufacturing Co is looking for an AI Infrastructure Engineer in Menlo Park, California to design and operate data systems for MatterOS. You'll manage edge-to-cloud data pipelines, GPU infrastructure for model training, and ensure contextual data capture for AI applications.

The ideal candidate has 3+ years of experience in ML infrastructure or data engineering, proficiency in Python, and familiarity with distributed data systems. This role offers the chance to build autonomous manufacturing infrastructure from scratch.