Algorithms, Artificial Intelligence (AI), C Programming Language, C++ Programming Language, Computer Programming, Computer Science, Data Structures, Debugging Tools, Distributed Computing, Large-Scale Systems, Machine Tool, Mathematics, Parallel Computing, Performance Tuning/Optimization, Problem Solving Skills, Python Programming/Scripting Language, Reinforcement Learning, Research Skills, Systems/Internals Programming, Team Player
About the team
The Seed Infrastructures team oversees the distributed training, reinforcement learning framework, high-performance inference, and heterogeneous hardware compilation technologies for AI foundation models.
Responsibilities
- Contribute to infrastructure and systems for large-scale models.
- Support development of efficient and scalable components across areas such as training platforms, inference systems, compilers, and distributed systems.
- Implement and optimize system modules, tooling, or frameworks.
- Collaborate with researchers and engineers to support research and system development.
Minimum Qualifications
- Currently pursuing a Bachelor's or Master's degree in computer science, mathematics, engineering, or a related field.
- Strong programming skills and solid foundation in algorithms, data structures, and systems, proficient in Python or C/C++.
- Experience with systems programming, distributed systems, compilers, or performance optimization through coursework, research, or projects.
Preferred Qualifications
- Experience with large-scale systems, parallel or distributed computing, or performance optimization. Familiarity with system design, debugging, and profiling tools.
- Strong problem-solving ability and ability to work collaboratively in a technical environment.
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Beijing ByteDance Technology Co Ltd