Computer Architecture Modeling and Simulation Senior Researcher

About the Role

This opportunity is with a global ICT infrastructure and smart devices leader that delivers integrated solutions across products and services for carriers, enterprises, public sector organizations, and consumers. The team is hiring a Senior Researcher focused on computer architecture modeling and simulation.

What You Will Do

• Contribute to planning, research, and delivery of modeling, simulation, and optimization methods for computer architecture.
• Help design and build simulation and modeling platforms for generative recommendation systems and next-generation computer architecture analysis to support workload-architecture co-design.
• Study industry and technology trends in architecture modeling, simulation, and system optimization, and use those insights to guide technical planning.
• Develop efficient simulation and modeling frameworks using techniques such as generative recommendation system modeling, dynamic AI workload modeling, and new computer architecture simulation.
• Create simulation environments for generative recommendation systems that use memory pooling architecture, PD separation deployment, and Ascend affinity model design to enable stronger hardware-software co-design.
• Identify and coordinate collaborative research initiatives with technical leaders from top universities in Singapore to advance innovation efforts.

What We Are Looking For

• A Master's degree or PhD in Computer Science, Computer Engineering, or a closely related discipline.
• Strong knowledge of modern computer architecture, including CPU and GPU concepts, memory hierarchy, distributed computing principles, and emerging computing architectures.
• Hands-on capability in hardware-software co-design and system-level optimization.
• Experience working with AI model workloads such as recommendation systems, large language models, and vision-language models.
• Demonstrated ability to improve performance through acceleration and optimization techniques.
• Excellent communication and collaboration abilities, with experience leading cross-functional initiatives.

Additional Information

The employer will review applications and contact only shortlisted candidates. Candidates are expected to consent to the collection, use, and disclosure of personal data and CV information for recruitment purposes in line with the stated privacy policy. The role is based in Singapore and is a full-time onsite position.