Binance Accelerator Program - System Performance Engineer (AI)

We are looking for highly motivated interns to join our engineering team and work on **high-performance, low-latency systems** that operate under demanding throughput and latency requirements.

You will work closely with experienced engineers on performance-critical infrastructure, including high-throughput messaging, concurrent processing pipelines, networking, memory optimization, and latency-sensitive systems.

This internship is designed for candidates with strong fundamentals and exceptional learning potential. **Prior experience in low-latency or trading systems is not required.** We care more about your ability to understand complex systems, reason from first principles, and systematically make software faster and more efficient.

• →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.

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

• 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/runtime optimization, database or storage internals, or high-performance serialization.
• Contributions to open-source systems projects or relevant academic research.
• Strong competitive programming background, such as ICPC, IOI, NOI, CCPC, or Codeforces.

• Shape the future of finance 
• Collaborate with world-class talent in a user-centric global organization with a flat structure
• Tackle challenging projects in a fast-paced and innovative enviornment with autonomy
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Remote-first, work-from-home arrangement (may vary depending on the nature of the role and team)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

By submitting a job application, you acknowledge that you have read our Candidate Privacy Notice.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.