Web3 Entry Level Engineering Jobs in Taiwan, APAC

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.About Binance Accelerator ProgramBinance Accelerator Program is a concise fixed-term program designed for Early Career Talent to have an immersive experience in the rapidly expanding Web3 space. You will be given the opportunity to experience life at Binance and understand what goes on behind the scenes of the worlds’ leading blockchain ecosystem. Alongside your job, there will also be a focus on networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about BAP Program HEREWho may applyCurrent university students and recent graduatesWe're looking for a passionate intern to join our Performance Engineering Team and help pioneer the intersection of AI and Performance Engineering. This isn't your typical internship — you'll be at the forefront of applying cutting-edge AI technologies to solve real-world performance challenges in large-scale distributed systems

What You’ll Do

1. Build Your Foundation: Start with hands-on performance testing and tuning tasks, master the fundamentals before innovating

2. AI-Powered Performance Testing: Design and implement intelligent test strategies using LLMs, ML models, and AI agents to automate and enhance performance testing workflows

3. Intelligent Performance Analysis: Build AI-driven tools that can automatically detect anomalies, identify bottlenecks, and provide actionable insights from complex performance data

4. Innovation & Research: Explore and experiment with the latest AI technologies and evaluate their potential in performance engineering

5. Real Impact: Your work will directly influence how we ensure system reliability and performance for millions of users

Must Have

1. Currently pursuing a degree in Computer Science, Software Engineering, or related field

2. Solid understanding of AI/ML fundamentals (LLMs, prompt engineering, fine-tuning concepts)

3. Programming experience in Java/Python/Golang

4. Curiosity and passion for exploring new AI technologies

5. Strong problem-solving skills and self-driven attitude

Nice to Have

1. Familiarity with Java/Spring Boot ecosystem

2. Basic understanding of performance testing concepts (load testing, profiling, metrics)

How to Apply

Send us your resume along with:Any AI/ML projects(if any) you've worked on (GitHub links, demos, or descriptions)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)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. 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.