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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
What You’ll Do
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
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Responsibilities
- 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.
- Complete other responsibilities as assigned.
- Complete other responsibilities as assigned.
What You Bring
- 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.
What We Offer 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.
This is in addition to our diverse package of 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. Embrace Flexibility 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 individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status.
When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations.
Our Commitment to Innovation and Fairness
At Samsung Semiconductor, we use Artificial Intelligence (AI) tools in the recruitment process to enhance efficiency. However, AI is used as a support tool, not a final decision-maker. All hiring decisions are made by our human recruiting team and hiring managers to ensure every candidate is evaluated fairly and holistically.
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Applicant AI Use Policy
At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we ask that candidates rely on their own knowledge and skills throughout the process. AI tools may be used for basic preparation, grammar, and research, but should not be used to generate or assist with submitted content or live interview responses. If we determine that AI is being used outside these guidelines, we reserve the right to pause or end the interview, and your candidacy may be disqualified.
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