Job Summary
Core Technical Skills
• Strong understanding of:
o Intel/AMD server platforms (Xeon, etc.)
o x86 architecture, PCIe, memory subsystem
• Expertise in:
o BIOS/UEFI, BMC, platform initialization
o Linux kernel internals and driver stack
Debug & Validation Skills
AI-Driven Validation & Analytics
• Leverage AI/ML models for:
o Failure pattern detection
o Log analytics and anomaly detection
o Predictive defect identification
• Build/use AI-assisted triage systems to accelerate debug cycles
• Hands-on with:
o Post-silicon validation, bring-up, and debug
o Log analysis (BIOS, OS, firmware)
• Experience in:
o RAS features (MCE, AER, ECC)
o Virtualization validation
Key Responsibilities
Automation Skills
Develop and enhance AI-augmented automation frameworks
• Python-based validation + ML-assisted test optimization
• Proficiency in:
o Python, Shell scripting
• Experience with:
o Automation frameworks and regression systems
Domain Knowledge (One or More)
• Storage / NVMe / CPU / GPU / NPU
• Networking / DPDK
• Virtualization
• Security & RAS
• HPC / AI workload validation
Experience
Skill Requirements
2. Strong Understanding Of Python For Automation In Testing Processes.
3. Excellent Knowledge Of Testing Frameworks And Best Practices In Software Testing.
4. Solid Analytical And Problem-Solving Skills To Identify And Address Performance Issues.
Other Requirements
Experience
• Typically 6-8+ years in platform/silicon validation
• Prior exposure to:
o Data center / enterprise servers
o Cloud platform validation