System Performance Engineer, AI

• 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 to improve system efficiency
• Explore advanced optimization techniques, including lock-free architectures, CPU affinity, and memory management
• Build benchmarking and profiling tools to measure throughput, CPU efficiency, and latency (p50/p99/p999)
• Collaborate with experienced engineers to investigate complex system performance issues and deliver measurable improvements
• Work closely with experienced engineers on performance-critical infrastructure, including high-throughput messaging, concurrent processing pipelines, networking, memory optimization, and latency-sensitive systems

• Currently pursuing or recently completed a Master's, MPhil, or PhD in Computer Science, Computer Engineering, Computer Systems, or a related technical field
• Strong foundation in 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 break complex problems into measurable hypotheses
• Interest in understanding how software interacts with hardware and how system performance can be improved
• Strong learning agility, curiosity, and the ability to quickly understand unfamiliar systems and technologies
• Current university student or recent graduate
• Prior experience in low-latency or trading systems is not required

• Competitive salary and company benefits
• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
• Opportunities for career growth and continuous learning
• Networking and development opportunities
• Transferable skills development
• Autonomy in an innovative environment
• Collaboration with world-class talent