AI Performance Engineer (Cloud AI Engineering), Sr | Staff | Sr. Staff
Qualcomm · San Diego, CA | Markham
About this role
Qualcomm is hiring a senior-level Database Engineer in the data engineering function based in San Diego, CA | Markham. The posting calls out experience with Python, PyTorch, LLMs, Deep Learning. Compensation is listed at $178,400–$267,600 per year.
- Role
- Database Engineer
- Function
- data engineering
- Level
- senior
- Track
- Tech leadership
- Location
- San Diego, CA | Markham
- Posted
- Apr 9, 2026
More roles at Qualcomm
Job description
from Qualcomm careers##
Company:
Qualcomm Technologies, Inc.
## Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering
General Summary:
AI Performance Engineer (Cloud AI Engineering)
Qualcomm is utilizing its traditional strengths in digital wireless technologies to play a central role in the evolution of Cloud AI. We are investing in several supporting technologies including Deep Learning. The Qualcomm Cloud AI team is developing hardware and software solutions for Inference Acceleration.
We are hiring an AI Performance Engineers at multiple levels to join our dynamic, collaborative team. This role spans the full product lifecycle—from cutting-edge research and development to commercial deployment—and demands strategic thinking, strong execution, and excellent communication skills.
This role involves the following activities:
* Convert, optimize and deploy models for efficient inference using PyTorch, ONNX.
* Work at the forefront of GenAI by understanding advanced algorithms (e.g. attention mechanisms, MoEs) and numerics to identify new optimization opportunities.
* Performance analysis and optimization of LLM, VLM, and diffusion models for inference. Scale performance for throughput and latency constraints.
* Mapping the next generation AI workloads on top of current and future hardware designs.
* Work closely with customers to drive solutions by collaborating with internal compiler, firmware and platform teams.
* Analyze complex performance or stability issues to work towards final root cause of underlying problems.