Job Details:
Job Description:
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.
Qualifications:
- Degree in Computer Science, Computer/Electrical Engineering, or related field.
- Strong programming skills in Python (preferred) or C/C++.
- Basic knowledge of Linux and Windows, virtualization (VDI, hypervisors), system performance components and optimization concepts (CPU, memory, I/O).
Preferred Qualifications
- 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.
Job Type:
Shift:
Shift 1 (Malaysia)
Primary Location:
Malaysia, Penang
Additional Locations:
Business group:
At the Data Center Group (DCG), we're committed to delivering exceptional products and delighting our customers. We offer both broad-market Xeon-based solutions and custom x86-based products, ensuring tailored innovation for diverse needs across general-purpose compute, web services, HPC, and AI-accelerated systems. Our charter encompasses defining business strategy and roadmaps, product management, developing ecosystems and business opportunities, delivering strong financial performance, and reinvigorating x86 leadership. Join us as we transform the data center segment through workload driven leadership products and close collaboration with our partners.
Posting Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Position of Trust
N/A
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
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ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.