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About This Role
- We are seeking a highly motivated Graduate Talent to join our Systems Engineering team focused on Virtual Desktop Infrastructure (VDI) and Media AI.
- In this role, you will work with Intel Xeon CPU platforms, AI accelerators, and GPU-enabled workloads, contributing to cloud-scale validation and performance benchmarking.
- You will play a key role in advancing next-gen AI PC-in-the-cloud solutions.
- Key Responsibilities - Optimize VDI performance on server CPU platforms via automated benchmarking and performance analysis. - Develop and evaluate AI workloads in cloud AI PC environments on inference performance, and CPU/GPU resource utilization. - Support development of Media AI proofs-of-concept (PoC), enable server CPU and workstation/data center GPU-accelerated AI inferencing, advanced content creation, rendering, media processing and video analytics. - Create automation, data collection, and AI service pipelines while debugging system and application issues across distributed environments. - Professional documentation to communicate performance insights, support engineering decisions and reproducible testing.
Nice to Have
- Experience with software development and benchmarking, AI/ML frameworks (PyTorch, TensorFlow, Transformers), AI workloads (Vision-Language Models, Generative AI, Agentic AI), GPU programming or CUDA-based workloads. - Familiarity with cloud platforms (AWS, Azure), containerization and APIs (REST, MCP, service-based architectures). - Knowledge of Intel architecture (Intel Xeon, Intel AMX) and profiling tools (e.g., Intel VTune Profiler).
- Skills & Traits - Strong analytical and debugging skills. - Self-driven, able to work across physical lab and remote environments. - Effective communication and documentation skills. - Resourceful and proactive, positive communication style contributing to a collaborative team environment.
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Specialisation
Open roles at Intel
95 positions
Job ID
/job/Malaysia-Penang/Graduate-Talent--VDI---Media-AI-Systems-Engineering-_JR0284577
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