Lead Performance and Optimization Engineer

About the role

Lead Performance and Optimization Engineer THE ROLE: We are seeking a Performance Engineer with strong expertise in serverclass CPUs, CPU microarchitecture, and ML inference, responsible for benchmarking, analysing, and optimizing CPU inference performance using EPYCoptimized ML libraries (e.g., ZenDNN) with common frameworks (PyTorch, TensorFlow, ONNX Runtime).

What you'll do

• Responsible for benchmarking, analysing, and optimizing CPU inference performance using EPYCoptimized ML libraries (e.g., ZenDNN) with common frameworks (PyTorch
• Configure and tune NUMA, HugePages, SMT, power/performance modes, CPU isolation, scheduler settings, scaling governors, and other OS/BIOS parameters
• Design and validate thread/core affinity strategies for singleinstance, multiinstance, multisocket, and frameworklevel multiinstance execution models
• Optimize workload behaviour through NUMAaware locality, thread scheduling/pinning, batch size tuning, operatorlevel parallelism, and other CPUfocused techniques
• Contribute to multiinstance execution framework development, including policies for instance partitioning, core allocation, memory distribution

What you need

• 8–12 yrs of experience
• Python
• Machine learning
• PyTorch
• TensorFlow
• Bash
• Linux
• Any graduate