Data Infrastructure Engineer at zaimler.ai

About this role

Join zaimler.ai, a high-performance AI data infrastructure startup, as a Data Infrastructure Engineer to build foundational systems powering next-generation AI applications. You'll design and optimize data ingestion pipelines, storage layers, and query engines to handle massive-scale machine learning workloads with extreme performance and reliability.

What you'll do

• Architect and implement low-latency data ingestion pipelines for high-throughput AI workloads
• Optimize storage layers and query engine performance using advanced multithreading and distributed systems techniques
• Collaborate with cross-functional teams to integrate data infrastructure with machine learning models
• Solve mission-critical engineering bottlenecks in high-performance computing and AI infrastructure
• Shape the technical roadmap and contribute to platform scaling strategy

What they're looking for

• Multithreading and concurrency primitives
• Distributed systems design and scaling
• Systems-level programming
• Data ingestion pipeline architecture
• Query engine optimization
• Hardware-software performance optimization
• Storage systems design
• High-performance computing