Become a Senior Infrastructure Engineer at Peripheral, where you’ll design high-performance cloud infrastructures for sports analytics and immersive experiences. Your impact is immediate and significant.

You will play a key role in establishing and maintaining the cloud infrastructure that supports Peripheral's innovative projects. Close collaboration with the CTO and research engineers will be essential as you deliver scalable systems for ML training and serving. Your strong background in DevOps and MLOps will be crucial for navigating production systems.

Key Responsibilities:
• Build and manage cloud infrastructure for ML applications
• Scale workflows for foundation model training
• Design robust infrastructure for model inference
• Develop reliable data pipelines for diverse media outputs
• Establish CI/CD and observability standards

Requirements:
• Master's or PhD in Computer Science or similar
• Minimum 4 years in cloud infrastructure, preferably ML
• Deep experience with AWS/GCP ecosystem
• Proven skills in distributed training and orchestration
• Knowledge of networking and security best practices

Bring your cloud expertise to redefine the future of spatial intelligence.
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