Job Description
To apply for this job, you need to complete both steps below:
STEP 1:
Please send your CV to this email to submit your application directly to the company:
careerservice@vinuni.edu.vn
Your application will only be received by Recruiter if submitted via above email.
STEP 2:
Kindly scroll to the bottom of this page and complete the short VinUni Tracking Form.
Filling out this form alone does not count as applying. Kindly remind this form is not part of the company’s application process. It only helps Careers, Alumni, Industry and Development (CAID) Department discover more opportunities and follow up in case of system issues.
Moreh is seeking GPU Interns to join our team in developing AI software stacks for large-scale deep neural networks, cluster systems, and cloud infrastructure. Our framework is highly optimized for both training and inference across a wide range of model architectures, including large language models (e.g., DeepSeek, LLaMA) and multimodal models (e.g., Stable Diffusion and Open-Sora). As part of this opportunity, you will participate in a 4-month GPU Engineer Training Program—an exciting journey of learning, growth, and hands-on experience at Moreh Vietnam.
# Overall Program
Moreh Vietnam offers a 4-month GPU Engineer Training Program, providing an exciting journey of self-discovery and professional development. Participants will gain intensive hands-on experience and practical training directly from experienced experts and engineers at Moreh Vietnam.
● Application period: May 1, 2026 – May 31, 2026
● Expected onboarding date: June 15, 2026 (subject to adjustment based on actual conditions at Moreh Vietnam)
# The main business
● Implementation and optimization of various artificial neural network layers and tensor operations with OpenCL, CUDA, etc.
● Development of performance prediction and analysis models for tensor operation and various accelerators
● Development of code generator and auto tuner to generate and select optimal kernel code for various GPU architectures
● Utilize components of GPU specialized for AI applications (matrix multiplication unit, high-speed interconnection between GPUs, etc.)
● Development of an efficient communication library between GPUs, which includes communication between GPUs located on different nodes.
# Qualifications
● Bachelor’s degree in Computer Science or a related field (Final-year students or less than 2 years of experience)
● Strong proficiency in C++ and/or Python
● Experience with OpenCL or CUDA, and a solid understanding of GPU architecture
● Strong understanding of computer systems
● Proficiency in English.
# Preferences
● Preferential support for professional research personnel
● Master's/Doctoral degree in computer systems or related fields
● Experience in parallelizing/optimizing various AI/HPC applications on GPU and related paper publication history
● Experience developing programs that run on GPU clusters using MPI, NCCL, etc.
● Participation in large-scale software development based on C++
● Basic knowledge of deep learning, experience implementing artificial neural network models
● History of paper submissions in major academic conferences (e.g. ASPLOS, HPDC, ISCA, Micro, PACT, PLDI, PPoPP, SC) and other research experience.
# Attractive Benefits
● Competitive stipend throughout the training program
● Opportunity to become a full-time engineer at Moreh Vietnam.
