AI Performance Engineer (Cloud AI Engineering), Sr | Staff | Sr. Staff

Qualcomm

$178,400 – $267,600Posted today

San DiegoLast seen today

Summary

Qualcomm is seeking an AI Performance Engineer to optimize and deploy machine learning models for inference acceleration on cloud AI hardware. The role involves converting and optimizing language models, vision models, and diffusion models using PyTorch and ONNX, analyzing performance bottlenecks, and designing efficient kernels in Triton. You will collaborate with compiler, firmware, and platform teams to map next-generation AI workloads onto hardware, working across the full product lifecycle from research to commercial deployment. The position requires deep expertise in transformer architectures, inference optimization techniques, computer architecture, ML accelerators, and distributed systems.

Data Science DevOps / Infrastructure Software Development AI Machine Learning Python Attention Mechanisms Computer Architecture Diffusion Models Distributed Systems Inference Optimization Linear Algebra LLM Optimization Machine Learning Compilers Memory Optimization ML Accelerators Model Compression Model Quantization Neural Network Operators Onnx Performance Profiling PyTorch Tensor Parallelism Torch Compile Torchdynamo Transformer Architectures Triton Vlm Optimization Workload Mapping