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Senior Embedded Engineer (AI Agentic Database)

חברה בתחום כללי

ישראל

Senior Embedded Engineer (AI Agentic Database)

חברה בתחום כללי

ישראל
מלאה
30,000-45,000 ₪ (הערכה מבוססת AI)
זוהי הערכת טווח שכר מבוססת AI ולא פרסום של המעסיק

abra R&D is looking for a Senior Embedded Engineer! abra R&D is looking for an Embedded Engineer to help build the first real-time database purpose-built for AI agents at scale. Designed around time-series and unstructured data, it leverages a custom storage format optimized for append-heavy, real-time workloads. Joining the team means working on a high-performance execution engine built with vectorized execution, SIMD, and cache-efficient memory layouts, enabling extreme low-latency and high-throughput performance at scale. The system is engineered to fully utilize modern hardware, with deep optimization across CPU cache layers (L1 / L2 / L3), pushing the limits of real-time data processing. What You’ll Do
* Design and implement core components of the database engine (query engine, execution engine, storage engine)
* Build vectorized execution pipelines optimized for SIMD
* Design and evolve a time-series optimized storage engine (custom on-disk + in-memory formats)
* Work on unstructured / event-driven data representations and efficient indexing/querying strategies
* Own memory layout, compression, and data defragmentation
* Develop cache-aware / cache-efficient data structures with deep understanding of CPU cache behavior
* Implement distributed data primitives: sharding, partitioning, replication, and data locality
* Profile and optimize performance at the CPU level (cache misses, branch prediction, memory bandwidth)

Requirements:
* 7+ years of experience in high-performance systems programming (C/C++)
* Deep understanding of computer architecture (CPU pipelines, cache hierarchies, memory access patterns)
* Strong experience with low-level optimization and profiling tools
* Proven knowledge of multithreaded development (lock and lockfree)
* Expertise in algorithms and data structures, especially cache-aware designs
* Experience in one or more of the following:
* Database internals (query engines, storage engines, query planners/optimizers)
* Time-series or real-time data systems
* High-performance systems (trading systems, game engines, networking stacks, compilers)
* Distributed systems (sharding, partitioning, consistency models) Strong Plus
* Experience with vectorized execution engines (e.g., DuckDB-style processing)
* Experience designing custom storage formats or low-level data layouts
* Experience handling unstructured or semi-structured data at scale
* Background in query optimization and execution planning

This position is open to all candidates.