Hiring: Staff/Sr. Staff Software Engineer, AI Software Tools (Onsite) Company: Qualcomm Location: San Diego, CA Job Posted Time: 2026-09-16 12:01:50 Employment Type: Full-time Target Skills & Keywords : LLM, Machine Learning, ONNX, PyTorch About the job Experience: •4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. •3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. •2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. •6+ years (Staff) / 8+ years (Sr. Staff) of experience in software design, d Required Skills: •Convert, optimize, and deploy AI models from PyTorch and ONNX frameworks for efficient inference on Snapdragon platforms. •Design and implement graph transformations, graph lowering, and optimization techniques within AI runtime environments such as ONNX Runtime, ExecuTorch and Qualcomm AI Stack SDK. •Work at the forefront of Generative AI, understanding advanced algorithms such as attention mechanisms, Mixture-of-Experts (MoE), Low Rank Adapter (LoRA) and emerging inference optimization techniques (e.g., Speculative Decoding etc.). •Collaborate with ML Research teams to prototype and productize new features and techniques into SDK solutions. •Debug complex issues across models, runtime, OS, compiler, and hardware layers, working closely with QA and customer teams. •Design, implement, and deliver new features and enhancements to the Qualcomm AI Stack SDK. •Participate in design reviews and code reviews, ensuring software quality and maintainability. •Mentor junior engineers helping them prioritize work, and drive execution across multiple initiatives. •Minimum Qualification (Must Have) •Bachelor’s degree in computer science, computer engineering, or a related field and 6+ years (Staff) / 8+ years (Sr. Staff) of experience in software design, d Qualifications: •Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ 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 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. •PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. 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!