Performance Engineering Working Student
Vor 3 Tagen
Ververica is the company behind Apache Flink, the world's leading open-source stream processing framework. We empower enterprises to build real-time data applications at scale. Our team includes core Flink committers and experts in distributed systems, JVM internals, and low-latency computing.
About the RoleWe are seeking a highly motivated Master's-level student with strong computer science fundamentals and a passion for understanding systems at a deep level. As a Performance Engineering Intern, you will work closely with our architects and performance engineering teams to push the boundaries of what's possible in large-scale stream processing.
You will contribute directly to performance improvements in Apache Flink and Ververica's next-generation stream processing engine (VERA), exploring optimizations and enhancing the efficiency of complex data processing workloads.
This internship offers the opportunity to work on real, production-grade systems that powers mission-critical systems worldwide and gain hands-on experience with cutting-edge distributed runtime technologies.
What You'll Do- Analyze JVM behavior (e.g., JIT compilation, garbage collection, class loading) under real-world streaming workloads.
- Profile, and benchmark runtime behavior, identifying hotspots, inefficiencies, and opportunities for speedups.
- Work with native code integration, reflection usage, and dynamic class loading patterns—understanding their impact on runtime efficiency.
- Design and prototype compiler- and runtime-level optimizations for stream processing operators and execution pipelines.
- Document findings, present insights, and contribute to internal knowledge sharing on performance engineering topics.
- Currently pursuing a Master's degree in Computer Science, Software Engineering, or a closely related field—with outstanding academic performance.
- Deep understanding of the Java Virtual Machine (JVM): You can confidently explain concepts such as bytecode interpretation vs. JIT compilation (C1/C2), garbage collection algorithms (e.g., G1, ZGC), heap/non-heap memory management, and class initialization.
- Strong programming skills in Java (and optionally other JVM languages), with attention to performance-sensitive code (e.g., object allocation, escape analysis, inlining).
- Familiarity with performance analysis tools (e.g., async-profiler, JFR, JITWatch, GC logs).
- Interest in distributed systems, stream processing, or systems programming.
- Ability to work independently on complex problems, with strong analytical and problem-solving skills.
- Bonus: Experience with Apache Flink, reactive systems, or low-latency JVM applications.
- Work on foundational technology used by Fortune 500 companies and cloud providers.
- Direct mentorship from experts in Apache Flink, JVM, compilers, and distributed systems.
- Opportunity to present at internal tech talks or international conferences
- Flexible, inclusive, and intellectually rigorous environment.
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