Database Performance & Hardware Architecture - Principal Engineer

We are looking for a Principal Engineer with deep expertise in database internals, system architecture, and hardware-aware performance optimization.
This role is responsible for defining and driving advanced database performance solutions by understanding and improving the interaction between database engines, operating systems, and modern hardware architectures.
The ideal candidate is an experienced technical leader with a strong background in database systems, performance engineering, and computer architecture. The candidate should be capable of leading complex technical initiatives, influencing architectural decisions, and developing innovative solutions for next-generation database platforms.
This is a hands-on technical leadership role requiring expertise across database kernels, query execution, transaction processing, memory systems, and low-level performance optimization.

Responsibilities
Define and drive technical direction for database performance optimization and hardware-

דרישות:

Education
BSc or MSc in Computer Science, Computer Engineering, or a related technical field.
Strong background in systems research, database technologies, distributed systems, or computer architecture is highly desirable.

Requirements
10+ years of experience in database systems, systems software, performance engineering, or related fields.
Proven experience designing, developing, or optimizing high-performance database systems, storage engines, query execution engines, or large-scale data platforms.
Deep understanding of database internals, including:
o Query optimization and execution engines
o Transaction processing and concurrency control
o Storage engine architecture
o Indexing and caching mechanisms
o Database scalability and workload optimization
Strong understanding of computer architecture and hardware performance optimization.
Hands-on experience with memory systems, including:
o NUMA architectures
o CPU cache hierarchy
o Memory bandwidth and latency analysis
o Large-scale