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Overview
- To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period.
- Advancing the World’s Technology Together
- Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more.
- Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future.
- We believe innovation and growth are driven by an inclusive culture and a diverse workforce.
- We’re dedicated to empowering people to be their true selves.
- Together, we’re building a better tomorrow for our employees, customers, partners, and communities.
- What You’ll Learn
- Project Overview: Develop systems software for memory and storage pools that support reinforcement-learning post-training of large language models
- Skills You’ll Learn:
- Core Linux kernel memory management for virtual machines
- How to modify the Linux kernel memory/storage management subsystem
- Contributing to the largest open source project in the world
- Understand how open-source SW impacts Samsung business
- Collaborating across team, Samsung, and industry
- The Samsung Global Ecosystem Team (GOST) is seeking an intern to develop systems software for memory and storage pools that support reinforcement-learning post-training of large language models.
- The work will examine how rollout generation, reward evaluation, policy updates, and checkpoint recovery use shared resources.
- You will build a focused prototype using fabric-attached memory and SSD pool, and measure its effect on training progress, memory pressure, and recovery time.
- GOST consists of a geographically distributed group of engineers making high impact contributions both in software and leadership to open ecosystems such as the Linux kernel and QEMU.
- This work supports Samsung’s latest storage and memory technologies.
- As an intern, you will contribute to the SW ecosystem R&D efforts targeting Samsung’s latest memory and storage technologies globally through distributed open-source projects.
- The goal of the internship is to deliver a working memory-to-storage data path, a live RL post-training demonstration, and a measured explanation of when pooling improves training efficiency or recoverability.
- Location: Daily onsite presence at our San Jose headquarters in alignment with our Flexible Work policy
- Reports to: Principal Engineer
What You'll Do
- Profile the RL post-training loop to identify memory-capacity limits, data-transfer overhead, storage stalls, and GPU idle time.
- Develop one runtime feature that coordinates bounded memory staging, asynchronous storage writes, prefetching, or capacity allocation across workers.
- Integrate the feature with an existing RL framework using its training and checkpoint interfaces.
- Preserve snapshot consistency, policy-version provenance, buffer ownership, and durable checkpoint publication during asynchronous operations.
- Compare memory-only, storage-only, and combined pool configurations using training throughput, GPU-hours, local-memory usage, and restart performance.
- Deliver correctness tests, reproducible experiments, design documentation, and code suitable for review and potential open-source contribution.
- Find the resource management issue on post-RL workload and resolve the issue in host OS.
What You'll Do
- Pursuing Masters, or PhD in Computer Science
- Must have at least 1 academic quarter/semester remaining
- Programming experience in C, C++, or Rust, with Python or shell scripting for experiments and automation.
- Understanding of operating systems, memory management, concurrency, and computer architecture.
- Experience developing and debugging on Linux, using Git, and communicating technical results—coursework and research projects count.
- CXL, NUMA, Device-DAX, mmap, shared-memory programming, or memory allocators, preferred
- GPU programming, CUDA, DMA, or profiling memory and data-transfer performance, preferred
- Distributed systems, cache management, vllm, sglang, LLM inference, or open-source development, preferred
- You’re inclusive, adapting your style to the situation and diverse global norms of our people.
- An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
- You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
- Innovative and creative, you proactively explore new ideas and adapt quickly to change.
- The pay range below is for all roles at this level across all US locations and functions.
- Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience.
Benefits
- centered around the wellbeing of our employees and their loved ones.
- In addition to the usual Medical/Dental/Vision, our inclusive rewards plan empowers our people to care for their whole selves.
- An investment in your future is an investment in ours.
- Relocation Support Live 50+ miles away from your new office? No worries! We'll provide a stipend to help support your move.
- Housing Stipend Signing a lease on a new place for your summer internship? We'll help you pay your way with a monthly stipend.
- Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community.
- Prioritize Emotional Wellness With on-demand apps and paid therapy sessions, you’ll have support no matter where you are.
- Stay Fit Eating well and being active are important parts of a healthy life.
- Our onsite Café and gym, plus virtual classes, make it easier.
Benefits
- are best when you have the space to use them.
- That’s why we facilitate a flexible environment so you can find the right balance for you.
- Hourly Base Pay Rate
- $28—$68 USD
- Equal Opportunity Employment Policy
- Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all indivi
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