Data Infrastructure Engineer at zaimler.ai

Data Infrastructure Engineer

As a Data Infrastructure Engineer , you will build the foundational systems that power next-generation AI applications. You will tackle complex challenges across ingestion, storage, and query engines, ensuring extreme performance and reliability. Your work directly enables large-scale data processing for some of the most demanding machine learning workloads in the industry.

Location:

San Mateo, USA

• Solve mission-critical engineering bottlenecks at the intersection of high-performance computing and modern AI infrastructure.
• Work alongside a world-class team of systems experts building a platform designed for massive scale and efficiency.
• Shape the technical roadmap of a fast-growing startup in the heart of Silicon Valley's AI ecosystem.

• Architect and implement low-latency data ingestion pipelines and optimized storage layers for high-throughput AI workloads.
• Enhance query engine performance by applying advanced multithreading techniques and distributed systems principles.
• Collaborate with cross-functional teams to ensure seamless integration between data infrastructure and machine learning models.

• Deep expertise in multithreading and concurrency primitives to build high-performance, thread-safe systems.
• Proven experience designing and scaling distributed systems, specifically within ingestion, storage, or query engine domains.
• Strong proficiency in systems-level programming and a solid understanding of hardware-software performance trade-offs.