Efficient AI Systems, Principal Engineer (On-Device/Edge)

$230,300 – $345,500 · Posted 3 days ago

San DiegoLast seen 1 day ago

Summary

Lead a machine learning engineering team designing Visual Language Action Models, Vision Language Models, and Large Language Models for autonomous driving and infotainment on Qualcomm's Snapdragon Ride platform. Optimize deep networks for accuracy-latency trade-offs on resource-constrained edge devices, focusing on low-level perception, end-to-end autonomous driving (L2/L3 ADAS), and multi-modal sensor fusion. Drive cross-functional collaboration with automotive OEMs and internal Qualcomm teams while building a world-class AI/deep learning engineering organization. Requires 6–8+ years of systems engineering or machine learning experience (depending on degree level), with hands-on expertise in deep learning network design, quantization, and deployment on edge AI accelerators.

Data Science AI Adas AI Accelerators Autonomous Driving Bev Bird S Eye View Compiler Optimization Computer Vision Cross Attention Deep Learning Edge AI Kernel Optimization Lidar Processing Llms Machine Learning Algorithms Multi Modal Fusion Network Quantization Neural Network Design On Device Deployment Resource Constrained Devices Self Attention Snapdragon Ride Vision Language Models Vision Transformers Visual Language Action Models