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Binance Accelerator Program - System Performance Engineer (AI)
Asia / Hong Kong / Taiwan, Taipei
Engineering – Backend /
Full-time: Remote /
Remote
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Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. Binance is trusted by more than 320 million people in 100+ countries for its industry-leading security, transparency, trading engine speed, protections for investors, and unmatched portfolio of digital asset products and offerings from trading and finance to education, research, social good, payments, institutional services, and Web3 features. Binance is devoted to building an inclusive crypto ecosystem to increase the freedom of money and financial access for people around the world with crypto as the fundamental means.
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About Binance Accelerator Program
Binance Accelerator Program (BAP) is a 3-6 month internship program designed for Early Career talent to have firsthand experience in the rapidly expanding digital assets space. You will be given the opportunity to develop your skills at Binance and understand what it’s like to work at the world's leading blockchain ecosystem. As part of your internship in the BAP, there will also be opportunities for networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about the BAP Program HERE.
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Who may apply
Current university students and recent graduates.
*Terms of employment / engagement shall be subject to contract and local applicable laws
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About the Role
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.
Responsibilities
- 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.
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 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.
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/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.
Why Binance
• Shape the future with the world’s leading blockchain ecosystem
• Collaborate with world-class talent in a user-centric global organization with a flat structure
• Tackle unique, fast-paced projects with autonomy in an innovative environment
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
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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 confirm that you have read and agree to 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.
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What an AI Developer does?
An AI developer is someone who creates and builds artificial intelligence systems
Their responsibilities may include designing and implementing algorithms, creating and training machine learning models, and deploying AI systems to solve practical problems
Additionally, they may be responsible for maintaining and improving existing AI systems, as well as collaborating with other teams or individuals to integrate AI technology into larger systems.