Qualcomm International Inc., Mexico Branch Office

AI Performance Engineer (Cloud AI Engineering), Sr | Staff | Sr. Staff at Qualcomm International Inc., Mexico Branch Office

Department: Machine Learning Engineering

Language

Compensation

$194,400 – $291,600/yr

Setup: On-site
Location: San Diego, California · Markham, Ontario
Type: Full-time
Level: senior
Posted: Sep 17, 2026

Description

Qualcomm is hiring AI Performance Engineers for its Cloud AI Engineering team to optimize and deploy language, vision, and diffusion models for efficient inference. The role involves PyTorch and ONNX model optimization, GenAI algorithm analysis, throughput and latency scaling, hardware workload mapping, root-cause analysis, and kernel development in Triton. Candidates need strong Python, transformer and inference-optimization knowledge, relevant hardware or systems experience, and a bachelor's, master's, or PhD in a related field. The listed pay range is $194,400 to $291,600.

Required Skills

PyTorch
ONNX
Python
Transformer architectures
Triton kernels
Computer architecture
Workload mapping

Additional Information

Minimum Education: Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, with 6+ years of relevant hardware, software, or systems engineering experience; alternatively, a master's degree with 5+ years or a PhD with 4+ years of relevant experience.
Required Previous Experiences: Hands-on experience building and optimizing language models in PyTorch and ONNX
Experience with workload mapping, sharding, and parallelism
6+ years of hardware, software, or systems engineering experience
Preferred Qualifications: Production-grade model optimization experience
Neural network operators and mathematical operations
Machine learning compilers
Accuracy convergence and evaluation
torch.compile or torchDynamo
PhD in Computer Science, Computer Engineering, or Machine Learning