Qualcomm
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If you would like more information about this role, please contact Qualcomm Careers.
Qualcomm China
Engineering Group, Engineering Group > Machine Learning Engineering
We are Qualcomm AI Research that are advancing AI to make its core capabilities – perception, reasoning, and action – ubiquitous across devices. Our mission is to make breakthroughs in fundamental AI research and scale them across industries. By bringing together some of the best minds in the field, we're pushing the boundaries of what's possible and shaping the future of AI. Welcome to visit our website at AI Research Areas | Intelligence on Devices | Qualcomm
Design and develop end-to-end AI tools, models, and software to enable efficient deployment of quantized neural networks on cutting-edge Qualcomm hardware, with a strong focus on optimizing performance for speed, latency, memory, and power consumption
Deploy AI models to Qualcomm CPU/NPU/GPU using the QNN SDK toolchain
Develop debugging and profiling tools, as well as Qualcomm SDK solutions, to solve software issues and facilitate rapid on-device deployment of quantized models
Build and maintain automated test suites leveraging modern testing tools and frameworks
Collaborate closely with cross-functional teams to gather requirements and design development/test approaches
Analyze test results and provide actionable feedback to the core development team
Proficiency in Python and C/C++
Strong skills in software design, development, and debugging
Solid understanding of LLM computation graph optimization, including graph fusion, memory optimization, and execution scheduling.
Proven experience in optimizing LLM inference engines (e.g., vLLM, SGLang, llama.cpp) including scheduling and performance tuning for latency and throughput.
Experience with operator/kernel-level optimization for LLM workloads, such as attention, matmul, KV cache access, and memory bandwidth optimization.
Experience in Agentic AI pipeline and workflow
Hands-on experience with generative AI models, including LLMs and LVMs
Solid understanding of deep learning and experience with popular frameworks such as PyTorch, vLLM, SGLang with Hugging Face ecosystem
Practical experience with Release + CI/CD Pipeline for end-to-end integration, regression, stress, performance
Experience working with the Qualcomm QNN SDK is highly desirable
Experience with Android programming and trace analysis is a plus
Experience using AI coding assistants such as Claude code, Codex, or Cursor is a plus
Qualcomm is an equal opportunity employer. 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).
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers.
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