Data Infrastructure Engineer at zaimler.ai
Jack & Jill/External ATS•San Mateo, CA
2d
About The Position
As a Data Infrastructure Engineer at zaimler.ai, 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.
Requirements
- 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.
Responsibilities
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
1-10 employees
