Work Model: Onsite
Duration: June 2026 - August 2026
- We are building the AI DC level software framework. It is a cutting-edge platform to validate next-generation, full-stack AI infrastructure. We are looking for talented interns to develop the AI application workload framework.
- Beyond AI models, AI applications will be containerized, optimized, and stress-tested on versatile GPU clusters to find architectural bottlenecks.
- We are looking for interns who will onboard and optimize diverse AI Applications onto our AI cluster, deep-diving into specific domains like Generative AI (LLM), Physical AI (Robotics), and AI for Science (Bio/Physics) to benchmark their performance on the latest GPUs, DPUs, and Network fabrics.
- Onboard Diverse AI Applications:
- Port and deploy state-of-the-art AI workloads, including LLM (vLLM, TGI), Physical AI (Isaac Sim, ROS 2), and Scientific AI (AlphaFold, GROMACS).
- Resolve software dependency issues and build optimized Docker images for the A^3 Registry.
- Application Profiling & Analysis:
- Analyze the unique resource patterns of each application (e.g., “Isaac Sim requires heavy ray-tracing capability” or “Megatron-LM is bottlenecked by RDMA”).
- Identify performance bottlenecks using profiling tools (Nsight Systems, PyTorch Profiler).
- Develop "Test Recipes":
- Define the standard configuration (Recipe) for each application to ensure reproducible testing.
- Collaboration: Work with infrastructure engineers to tune the system (OS, Network, Storage) to fit your application's needs.
- Education: Currently pursuing a MS, or PhD in Computer Science, Electrical Engineering, AI, or related fields.
- Programming: Strong proficiency in Python (Bash scripting is a plus).
- Containerization: Experience with Docker (building Dockerfiles, managing dependencies).
- AI Fundamentals: Basic understanding of Deep Learning workflows (Training vs. Inference) and frameworks (PyTorch, TensorFlow).
- OS: Comfort with Linux command-line environment
Preferred Qualifications:
- Orchestration: Experience with Kubernetes (K8s) or Slurm.
- Profiling: Experience with performance profiling tools (Nsight Systems, DCGM, PyTorch Profiler).
- Domain Expertise (in one of the following):
- LLM: Experience with vLLM, TGI, or TensorRT-LLM.
- Distributed Systems: Experience with Multi-node training (Megatron-LM, DeepSpeed).
- Robotics: Experience with ROS 2, Isaac Sim, or Reinforcement Learning.
- HPC/Science: Experience with MPI, OpenMP, or Bio-informatics tools.
- Hardware: Curiosity about computer architecture (GPU, DPU, Memory, Network Fabric).
SKHYA is an Equal Employment Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type without regard to race, sex, pregnancy, sexual orientation, religion, age, gender identity, national origin, color, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. Pay within the provided range varies by work location and may also depend on job-related skills and experience. Your Recruiter can share more about the specific salary range for the job location during the hiring process.
SK hynix Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about SK hynix and has not been reviewed or approved by SK hynix.
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Strong & Reliable Incentives — Profit-sharing linked to operating results and the removal of a bonus cap in Korea have produced very large payouts and materially boosted total compensation there. Reporting indicates these incentives have been especially favorable during the AI/HBM upcycle.
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Healthcare Strength — Company materials highlight medical expense support and robust health coverage, and U.S. packages commonly include comprehensive medical, dental, and vision plans. This strengthens the appeal of core benefits alongside cash compensation.
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Parental & Family Support — Programs in Korea include fertility support, extended childcare leave, and education grants for children through university. These family-forward policies expand benefits value beyond salary and bonuses.
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What We Do
Semiconductors are essential to all IT products, and its performance often determines the performance of the final products. SK hynix is a global leader in producing semiconductor, such as DRAM, NAND Flash and CMOS Image Sensors. With these technology driven semiconductor products, SK hynix has consistently led the industry and is now the second largest memory chip maker worldwide. IT devices become more pervasive as new imaginative and innovative IT products continue to grab imagination and desires of consumers. SK hynix has enhanced its competency with the best level of technology and a wide range of business portfolios in order to satisfy all those demand from customers. As a member of SK Group*, SK hynix is aiming at becoming the world’s best semiconductor company. SK hynix America Inc. operates as a subsidiary of SK Hynix Inc. *SK Group is one of South Korea's top five industrial conglomerates. It has about 40 affiliated companies, ranging from energy, telecommunications, finance, to construction.
