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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff/Sr. Staff Software Engineer, AI Software Tools (Onsite) - **Company:** MAC INC - **Location:** San Diego, CA, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Adobe InDesign, Agile Methodology, Artificial Intelligence, Algorithm Design, Systems Engineering, CMake, Software Code Optimization, Software Quality, Code Review, Information Systems, Computer Engineering, Software Debugging, Memory Management, Embedded Software, Graph Theory, Python (Programming Language), Logical Volume Manager, Machine Learning, Microsoft Office, Performance Tuning, Real-Time Operating Systems, Software Tools, Software Engineering, Software Systems, Pytorch, Transfer Learning, Delivery Pipeline, Large Language Models, Deep Learning, Reliability of Systems, Generative AI, Git, Discretization, Build Management, Attention Mechanisms, Information Technology, Low Latency, Optimization Algorithms, ONNX (Open Neural Network Exchange) Format, HuggingFace, Transformer Architectures, Decoding - **Published:** October 20, 2026 - **Apply:** https://www.juju.com/job/23_70894EF46A97759934730DF42EDACE7B ## About the Role Minimum 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. OR 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. OR PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. Responsibilities 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. Apply knowledge of quantization and performance optimization to improve latency, throughput, memory usage, and power efficiency., 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, development, and delivery. OR Master's degree/PhD in computer science, computer engineering, or a related field and 5+ years (Staff) / 7+ years (Sr. Staff) of experience in software design, development and delivery. 3+ years of hands-on experience in AI/ML software development, with a focus on inference or model optimization. Strong understanding of AI/ML fundamentals, including deep learning and inference pipelines. Deep understanding of transformer architectures, attention mechanisms, and performance tradeoffs. Proficiency in Python and C/C++ for production-quality software development. Experience working with PyTorch and ONNX models and tooling. Debugging skill of complex issues, perform root cause analysis, and ensure high system reliability Ability to work independently, collaborate across teams, and drive complex features end-to-end. Preferred Qualifications Working knowledge of graph theory, graph optimizations, and compiler-style transformations. Experience with LLM, LVM, and LMM inference pipelines, including prefill and generation workflows. Familiarity with Hugging Face ecosystem, including model repositories and interfaces such as PEFT. Experience with LoRA, MoE-based models, and awareness of modern GenAI inference techniques. Experience with Android and/or RTOS environments (e.g., QNX). Experience with CMake-based build environments, agile software development practices, and git-based SCM. 2+ years of experience in embedded software or system-level software development and optimization. At least 2 years of experience interacting with senior leadership (Director level and above). Ability to collaborate across a globally diverse team and manage multiple priorities. Previous experience of mentoring junior engineers User-level or development experience with Qualcomm AI Stack / SDKs (e.g., QAIRT, QNN, Genie). Exposure to Snapdragon SoCs and AI accelerators such as NPU. Prior hands-on experience with GenAI features such as transformer architectures, LoRA, MoE, speculative decoding, and vision encoder/decoder models. ## Description Job Area Engineering Group, Engineering Group > Machine Learning Engineering General Summary THIS IS A FULL-TIME ONSITE ROLE REQUIRING 5 DAYS A WEEK IN OFFICE AT QUALCOMM'S SAN DIEGO LOCATION As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drive digital transformation, creating a smarter, connected future for all. As a Staff/Sr. Staff Software Engineer in the Qualcomm AI Stack SDK Software team, you will design, develop, and deliver advanced AI/ML software solutions for Generative AI inference on Snapdragon platforms. This role focuses on model optimization, quantization, graph transformations, and runtime execution for modern AI architectures including LLMs, LVMs, and LMMs. You will work at the intersection of machine learning algorithms, inference optimization, graph lowering, and systems software, contributing directly to the Qualcomm AI Stack SDK (QAIRT), and associated tools, including delegates support for ONNX Runtime, Executorch and TFLite/LiteRT frameworks. You will collaborate with amazing engineers from different teams across multiple locations like ML Research, AI accelerator HW/SW teams, Product Management, Program Management, and QA to drive features from concept to production. This role requires strong technical ownership, the ability to work independently, and the capability to drive features end-to-end while mentoring junior engineers., 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., If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).