About the role#
The Global Open Source team is seeking an intern to develop systems software for memory and storage pools that support reinforcement learning post-training for large language models. You will build a prototype using fabric-attached memory and SSD pools to measure effects on training progress, memory pressure, and recovery time. This role involves contributing to open-source ecosystems while supporting Samsung storage and memory technology research.
What you'll do#
- Profile the reinforcement learning post-training loop to identify memory-capacity limits, data-transfer overhead, storage stalls, and GPU idle time.
- Develop a runtime feature that coordinates bounded memory staging, asynchronous storage writes, prefetching, or capacity allocation across workers.
- Integrate features with existing reinforcement learning frameworks using training and checkpoint interfaces.
- Maintain snapshot consistency, policy-version provenance, buffer ownership, and durable checkpoint publication during asynchronous operations.
- Compare memory-only, storage-only, and combined pool configurations by analyzing throughput, GPU-hours, local-memory usage, and restart performance.
- Resolve resource management issues found in the host OS.
- Deliver correctness tests, reproducible experiments, design documentation, and code suitable for review and potential open-source contribution.
What you'll need#
- Current pursuit of a Masters or PhD in Computer Science.
- At least one academic quarter or semester remaining in your program.
- Programming experience in C, C++, or Rust.
- Ability to use Python or shell scripting for experiments and automation.
- Understanding of operating systems, memory management, concurrency, and computer architecture.
- Experience developing and debugging on Linux.
- Proficiency with Git and experience communicating technical results.
- Preferred experience includes CXL, NUMA, Device-DAX, mmap, shared-memory programming, or memory allocators.
- Preferred experience includes GPU programming, CUDA, DMA, or profiling memory and data-transfer performance.
- Preferred experience includes distributed systems, cache management, vllm, sglang, LLM inference, or open-source development.
Location & details#
- Location: San Jose, California.
- Modality: On-site.
- Employment type: Full-time.
- Compensation: Paid internship with relocation and housing support available for eligible candidates.
About Samsung Semiconductor
Samsung Semiconductor operates as a subsidiary of Samsung Electronics. The company manufactures semiconductor components for device makers. It started operations in 1974. The organization employs more than 10,000 people.
How to get in at Samsung Semiconductor
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