Hiring: Principal Engineer Company: Qualcomm Location: San Diego, CA Job Posted Time: 2026-09-09 18:01:54 Target Skills & Keywords : Android, C, C++, Computer Vision, Deep Learning, Keras, Linux, Machine Learning, PyTorch, Python, R, TensorFlow About the job Experience: •8+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. •7+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. •6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. •5+ years of experience with ML frameworks (e.g., TensorFlow, Caffe/Caffe2, PyTorch, Keras). •5+ years of experience with low-level interactions between operating systems (e.g., Linux, Android, QNX) and hardware. •5+ years of experience in embedded system development and optimization applied to a specific ML problem domain (e.g., computer vision, perception, multimedia). •5+ years of experience with one or more programming languages suitable for machine learning (e.g., Python, R, C, C++). •5+ years of experience using statistics and probability (e.g., conditional probability, Bayesrule). •4+ years in a technical leadership role, with or without direct reports (only applies to positions with direct reports). Qualifications: •Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 8+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. •Master's degree in Computer Science, Engineering, Information Systems, or related field and 7+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. •PhD in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. •What You’ll Do •Algorithm & system implementation: Research the latest trends in domain-specific computer vision, and design and develop models for real-world applications. •End-to-end ownership: Train and optimize state-of-the-art machine learning and neural network methodologies; build and maintain training pipelines; work with and create very large datasets and evaluation benchmarks and integrate models into larger systems. •Leverage expert ML knowledge to extend training/runtime frameworks and model-efficiency tools with new features and optimizations; deploy models on Qualcomm Snapdragon platforms for real-time, on-device performance. •Analyze bottlenecks in end-to-end use cases and ML/AI workloads on Qualcomm hardware/software stacks via simulation and on-device characterization. •Own technical direction across projects, influence system-level architecture, and drive solutions from research through production deployment. •Serve as a technical lead for teams developing, adapting, and prototyping ML solutions; review and help write proposals and roadmaps for subsystems of complex products and features. •Act as a technical expert in ML model architecture and partner with hardware engineers to influence silicon design. •Preferred Qualifications •Master's degree in Computer Science, Engineering, Information Systems, or related field. •5+ years of experience with ML frameworks (e.g., TensorFlow, Caffe/Caffe2, PyTorch, Keras). •5+ years of experience with low-level interactions between operating systems (e.g., Linux, Android, QNX) and hardware. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!