Здесь можно заниматься высокопроизводительными системами в крупной криптоплатформе, но статус стажировки не совпадает с указанием полной занятости, а без зарплаты условия остаются неясными.
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Неясный статусЗарплата не указанаСильная системная экспертизаКрипторынокКрупная платформа
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Текст:
Hirify AI/Оригинал
TL;DR
Binance Accelerator Program - System Performance Engineer (AI) (High-Performance Systems): Designing and optimizing high-throughput, low-latency infrastructure with an accent on messaging, concurrency, networking, memory management, and multithreaded processing. Focus on identifying CPU, memory, operating system, and networking bottlenecks, building benchmarking and profiling tools, and improving p50/p99/p999 latency.
Location: Singapore; remote-first, work-from-home arrangement may vary depending on the role and team.
Company
Binance operates a global blockchain ecosystem spanning cryptocurrency trading, finance, payments, education, research, and institutional services.
What you will do
Design and optimize high-throughput, low-latency systems, including messaging infrastructure, concurrent processing pipelines, and networking.
Identify and resolve performance bottlenecks across CPU, memory, operating systems, networking, and concurrency.
Optimize memory allocation, data structures, serialization, and multithreaded processing.
Explore lock-free architectures, CPU affinity, and advanced memory-management techniques.
Build benchmarking and profiling tools to measure throughput, CPU efficiency, and p50/p99/p999 latency.
Collaborate with experienced engineers to investigate complex performance issues and deliver measurable improvements.
Requirements
Currently pursuing or recently completed a Master's, MPhil, or PhD in Computer Science, Computer Engineering, Computer Systems, or a related technical field.
Strong knowledge of data structures, algorithms, operating systems, networking, memory management, and concurrency.
Proficiency in at least one programming language, preferably C++, Rust, or Java.
Strong analytical and problem-solving skills, with the ability to develop measurable hypotheses for complex systems.
Interest in how software interacts with hardware and how system performance can be improved.
Strong learning agility and curiosity; prior low-latency or trading-systems experience is not required.
Nice to have
Experience with high-performance computing, low-latency systems, multithreaded programming, or distributed systems.
Knowledge of lock-free data structures, CPU caches, NUMA, SIMD, memory pools, or CPU affinity.
Experience with Linux systems programming, network programming, RDMA, DPDK, io_uring, or eBPF.
Familiarity with profiling, benchmarking, and performance-analysis tools such as perf or FlameGraph.
Exposure to compiler or runtime optimization, database or storage internals, high-performance serialization, open-source systems projects, academic research, or competitive programming.
Culture & Benefits
Remote-first, work-from-home arrangement, subject to the nature of the role and team.
Collaboration with experienced engineers and world-class talent in a global, user-centric organization.
Flat structure with autonomy on challenging, performance-critical projects.
Opportunities for career growth and continuous learning.
Competitive salary and company benefits.
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