Graduate Talent (VDI & Media AI Systems Engineering)
Core
Graduate engineer optimizing VDI performance and evaluating AI workloads on Intel Xeon CPU platforms and GPU accelerators for cloud-scale validation.
Role type
Graduate Systems Engineer (VDI & Media AI)
Builds
Cloud-scale VDI solutions and AI PC-in-the-cloud inference environments
Domain
Data Center / High-Performance Computing / AI Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Python, C/C++, Linux, Windows, virtualization concepts, system performance analysis, automated benchmarking
Preferred skills
AI/ML frameworks (PyTorch, TensorFlow), GPU programming (CUDA), cloud platforms (AWS, Azure), containerization, Intel architecture profiling
Technologies
Intel Xeon, Intel AMX, VTune Profiler, PyTorch, TensorFlow, AWS, Azure, REST APIs
Responsibilities
Optimize VDI performance via automated benchmarking; Develop and evaluate AI workloads for inference performance; Support Media AI proofs-of-concept for content creation and video analytics; Create automation pipelines and debug system issues; Document performance insights for engineering decisions
Seniority
Entry-level Graduate
