Data Infrastructure Engineer

About this role

Alljoined seeks a Data Infrastructure Engineer to build the backend systems enabling brain-computer interface research. You'll design and manage the entire data pipeline—from processing massive multimodal datasets through cloud and bare-metal clusters—to support foundational model training at scale.

What you'll do

• Build and maintain high-performance ETL pipelines processing terabytes of daily multimodal data (video, audio, text, time-series)
• Architect, provision, and manage bare-metal compute clusters, storage servers, and networking infrastructure for ML workloads
• Design storage topologies and manage databases (TimescaleDB, ClickHouse) across hybrid on-premise and cloud environments
• Bridge neuro hardware systems with central data repositories to ensure low-latency, high-throughput delivery to GPUs
• Optimize data ingestion from heterogeneous hardware peripherals while maintaining data integrity and concurrent stream handling
• Own the complete infrastructure lifecycle from I/O optimization to production deployment and monitoring

What they're looking for

• Systems-level architecture and production software engineering (3+ years)
• Python, Rust, C++, or Go
• High-performance ETL pipeline design for large-scale unstructured data
• Bare-metal cluster provisioning and management
• Database management (TimescaleDB, ClickHouse) and distributed storage
• Cloud platforms (AWS/GCP/Azure) and hybrid infrastructure
• ML frameworks (PyTorch/TensorFlow) and GPU utilization optimization
• Networking for distributed systems (InfiniBand, RoCE, zero-copy networking)

Benefits

• Competitive equity compensation at seed stage
• Housing support options
• Visa sponsorship
• 3% 401k matching
• Health insurance
• $140,000 - $180,000 annual compensation