Physical AI Model Optimization Engineer - Qualcomm Advanced Robotics Team
Qualcomm · San Diego, CA
About this role
Qualcomm is hiring a mid-level Machine Learning Engineer based in San Diego, CA. The posting calls out experience with PyTorch, Machine Learning, Automation, ONNX. Compensation is listed at $158,400–$237,600 per year.
- Role
- Machine Learning Engineer
- Function
- machine learning
- Level
- mid
- Track
- Individual contributor
- Location
- San Diego, CA
- Posted
- Mar 3, 2026
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Job description
from Qualcomm careers##
Company:
Qualcomm Technologies, Inc.
## Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering
General Summary:
About Qualcomm Robotics
Qualcomm Advanced Robotics Team is building the AI first stack and platform for the next generation general purpose robots - from AMRs and cobots to emerging humanoids by pairing heterogeneous compute (CPU/GPU/DSP/NPU) with a full Robotics SDK and developer tooling for manipulation, perception, navigation, and fleet workflows. We are leveraging our success in automated driving product portfolio, advanced AI end to end development and tools, and safety architecture to accelerate the growth in this emerging market.
About the Role
We are seeking a Physical AI Model Optimization Engineer to help bring cutting‑edge robotic AI models onto Qualcomm Dragonwing chipsets using Qualcomm’s internal deployment and optimization toolchains. This role is highly execution‑focused and centers on applying existing Qualcomm tools, workflows, and compilers to onboard, optimize, validate, and deploy advanced AI models for real‑time robotic systems.
A key responsibility of this team is creating and maintaining a curated library of robotics‑focused AI models that are pre‑optimized for deployment on Qualcomm chips. These models—spanning perception, control, VLA, and multimodal reasoning—will be packaged, validated, and made available for customers as high‑performance, deploy‑ready components that accelerate their development cycles.