Company:
Qualcomm India Private Limited
Job Area:
Engineering Group, Engineering Group > Systems Engineering
General Summary:
Job Overview:
You will be part of System Performance team that is responsible for profiling and optimizing the System Performance on Snapdragon chipsets. This role will require a strong knowledge of AI/ML performance using NPU cores. The knowledge of CPU, DDR, NoCs will be an added advantage.
Skills Required:
• A deep understanding of NPU, CPU and DDR architecture internals like

· NPU: Understanding of NPU micro-architecture, including its specialized processing elements for operations like matrix multiplications and convolutions.
· A solid grasp of deep learning fundamentals, including neural network architectures like Convolutional Neural Networks (CNNs), transformers, GenAI etc.
· Understanding the distinction between the compute-intensive training of a model (often done on GPUs) and running inference (making predictions) on NPUs.
· Knowledge of Model optimization and compression techniques (Quantization, Pruning, Distillation etc.)




· CPU caches (L1, L2, L3), instruction pipelines, branch prediction, memory hierarchy (including register, cache, and main memory) and multi-core/multi-threaded processing. You need to understand how memory access, instruction dependencies, and contention for shared resources can impact performance.
· DDR: Understanding of JEDEC specifications LPDDR4, LPDDR5, LPDDR6, including command and timing parameters (e.g., ???, ????, tRP), memory organization (rows, columns, banks), and basic view of training and initialization sequences, how a memory controller works and its specific features like command queue, port arbitration, and various control schemes.
• Familiarity with frameworks like TensorFlow Lite, PyTorch Mobile, and ONNX Runtime for preparing models for deployment. Experience with NPU-specific compilers, such as those from Qualcomm (QNN), Arm (Vela), Intel (OpenVINO), to optimize and orchestrate AI worklo

📌 System Performance Engineer (Bengaluru)
🏢 Qualcomm
📍 Bengaluru