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Senior systems engineer responsible for building native Rust execution engines and accelerating distributed Big Data systems (Spark, Hadoop, Ray). Work includes low-level performance optimization (SIMD, cache locality, zero-copy IO), memory layout tuning, custom allocators, multithreading, and owning performance-critical components end-to-end in high-autonomy environments.

Senior Rust systems engineer responsible for building and optimizing native Rust execution engines for distributed Big Data systems. Work includes low-level performance tuning (SIMD, cache locality, zero-copy IO), concurrency, memory layout optimization, and accelerating systems like Spark, Hadoop, and Ray.

Senior Rust Developer to design and optimize low-level, performance-critical components for Big Data infrastructure. Work includes systems programming in Rust, building native execution engines, accelerating distributed systems (Spark, Hadoop, Ray), deep performance tuning (SIMD, cache locality, zero-copy IO), concurrency and memory layout optimization, and owning end-to-end delivery.

Senior systems engineer to build native Rust execution engines and accelerate distributed Big Data systems (Spark, Hadoop, Ray). Responsibilities include low-level performance tuning (SIMD, cache locality, zero-copy I/O), multi-threading, memory-layout and custom allocator optimization, owning performance-critical components end-to-end, and rapidly optimizing unfamiliar codebases.

Design, implement, and optimize native Rust execution engines and performance-critical components for distributed Big Data systems (Spark, Hadoop, Ray). Perform low-level performance tuning (SIMD, cache locality, zero-copy I/O), multithreading, memory layout optimization and allocator work. Own end-to-end delivery, dive into unfamiliar codebases, and collaborate with senior engineers in a high-autonomy environment.

Own and optimize performance-critical components for Big Data infrastructure using Rust. Work on native Rust execution engines, accelerate distributed systems (Spark, Hadoop, Ray), and perform low-level tuning (SIMD, cache locality, zero-copy I/O, custom allocators). Collaborate in a high-autonomy R&D team and deliver end-to-end solutions.

Senior systems engineer working in Rust to design, optimize, and own performance-critical components for Big Data execution engines. Responsibilities include low-level performance tuning (SIMD, cache locality, zero-copy IO), multi-threading and memory-layout optimization, accelerating distributed systems (Spark, Hadoop, Ray), and delivering end-to-end solutions with minimal abstraction.

Senior systems engineer working in Rust to build and optimize high-performance Big Data infrastructure. Own end-to-end performance-critical components, accelerate distributed systems (Spark, Hadoop, Ray), build native Rust execution engines, and perform deep tuning (SIMD, cache locality, zero-copy I/O, custom allocators).

Senior systems engineer working in Rust to build native execution engines and accelerate distributed big-data systems (Spark, Hadoop, Ray). Responsibilities include low-level performance optimization (SIMD, cache locality, zero-copy IO), memory layout and custom allocator work, multithreading, I/O tuning, and owning performance-critical components end-to-end in a high-autonomy environment.

Senior systems engineer owning performance-critical Big Data infrastructure components. Build native Rust execution engines, accelerate distributed systems (Spark, Hadoop, Ray), perform low-level performance tuning (SIMD, cache locality, zero-copy I/O), optimize memory and concurrency, and deliver end-to-end solutions in high-autonomy environments.