AI System Performance Engineer – APAC

This is a fully remote position, open to applicants in Hong Kong, +2 more countries.

📋 Description

• Design and enhance systems that prioritize high-throughput and low-latency, which include messaging frameworks, concurrent processing pipelines, and networking components.

• Detect and address performance bottlenecks across various domains such as CPU usage, memory, operating systems, networking, and concurrency.

• Improve system efficiency by optimizing memory allocation, data structures, serialization processes, and multithreaded processing.

• Investigate advanced optimization methodologies, including lock-free architectures, CPU affinity, and memory management techniques.

• Develop benchmarking and profiling tools for assessing throughput, CPU efficiency, and latency metrics (p50/p99/p999).

• Work alongside seasoned engineers to explore intricate system performance challenges and implement measurable enhancements.

⛳️ Requirements

• Currently enrolled in or recently graduated from a Master's, MPhil, or PhD program in Computer Science, Computer Engineering, Computer Systems, or a related technical discipline.

• Solid understanding of data structures, algorithms, operating systems, networking, memory management, and concurrency principles.

• Proficient in at least one programming language, ideally C++, Rust, or Java.

• Excellent analytical and problem-solving abilities, with a talent for breaking down complex issues into quantifiable hypotheses.

• Keen interest in how software interacts with hardware and ways to enhance system performance.

• Demonstrated learning agility, curiosity, and the capability to rapidly grasp unfamiliar systems and technologies.

• Prior experience in low-latency or trading systems is not essential.

• Nice to have: background in high-performance computing, low-latency systems, multithreaded programming, or distributed systems.

• Nice to have: familiarity with lock-free data structures, CPU caches, NUMA, SIMD, memory pools, or CPU affinity concepts.

• Nice to have: experience in Linux systems programming, network programming, RDMA, DPDK, io_uring, or eBPF.

• Nice to have: knowledge of profiling, benchmarking, and performance analysis tools such as perf or FlameGraph.

• Nice to have: exposure to compiler/runtime optimization, database or storage internals, or high-performance serialization techniques.

• Nice to have: contributions to open-source systems projects or relevant academic research endeavors.

• Nice to have: strong competitive programming experience, such as ICPC, IOI, NOI, CCPC, or Codeforces.

🏝️ Benefits

• Shape the future of finance.

• Collaborate with world-class talent in a user-centric global organization that features a flat structure.

• Engage in challenging projects within a fast-paced and innovative environment, with the freedom to operate autonomously.

• Flourish in a results-oriented workplace offering opportunities for career advancement and continuous learning.

• Competitive salary and company benefits.

• Remote-first, work-from-home arrangement (may vary based on the specific role and team).