Graduate Talent (VDI & Media AI Systems Engineering)

TL;DR

Graduate Talent (VDI & Media AI Systems Engineering): Building and validating Virtual Desktop Infrastructure (VDI) and Media AI workloads on hirify.global Xeon CPU platforms and GPU-enabled environments with an accent on automated benchmarking, inference performance evaluation, and CPU/GPU resource utilization. Focus on developing PoCs, creating automation and AI service pipelines, and debugging distributed system and application issues while producing reproducible performance documentation.

Location: Malaysia, Penang

Company

hirify.global builds data center and AI-accelerated computing solutions, including Xeon-based and custom x86 platforms.

What you will do

• Optimize VDI performance on server CPU platforms using automated benchmarking and performance analysis.
• Develop and evaluate AI workloads in cloud AI PC environments, focusing on inference performance and CPU/GPU utilization.
• Support Media AI PoCs, including server CPU and data center GPU-accelerated AI inferencing for 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.
• Write professional documentation to communicate performance insights and enable reproducible testing.

Requirements

• Degree in Computer Science, Computer/Electrical Engineering, or a related field.
• Strong programming skills in Python (preferred) or C/C++.
• Basic knowledge of Linux and Windows.
• Basic knowledge of virtualization (VDI, hypervisors) and system performance concepts (CPU, memory, I/O).
• Ability to work across physical lab and remote environments.

Nice to have

• Experience with benchmarking and AI/ML frameworks (PyTorch, TensorFlow, Transformers).
• Experience with AI workloads (Vision-Language Models, Generative AI, Agentic AI) and GPU programming/CUDA-based workloads.
• Familiarity with cloud platforms (AWS, Azure), containerization, and APIs (REST, service-based architectures).
• Knowledge of hirify.global architecture (hirify.global Xeon, hirify.global AMX) and profiling tools (e.g., hirify.global VTune Profiler).

Culture & Benefits

• Hybrid work model: split time between on-site work at the assigned hirify.global site and off-site work.
• Collaborative engineering environment with emphasis on documentation and reproducible testing.
• Ethical hiring practices with no recruitment fees charged during the hiring process.

Hiring process

• Application review and consideration for employment based on qualifications.
• Hiring process includes standard evaluation steps; candidates should not be asked to pay fees.