AI Model Systems Software Engineer

Company:Qualcomm Technologies, Inc.Job Area:Engineering Group, Engineering Group > Machine Learning EngineeringGeneral Summary:We are looking for an AI Performance System Software Engineer to work on performance and power enhancements into the SW and HW stacks and SW tools of state-of-the-art machine learning solutions on Snapdragon platform.As a member of the team responsible for AI performance on Snapdragon compute platform, you will have opportunity to represent requirements of Windows on Snapdragon application developers for multiple AI use-cases and ensure the Snapdragon AI platform, and tools deliver the industry leading performance and power through automated app development workflows. You will work to continuously evolve the benchmarking and optimization of reference AI networks that will serve as relevant, minimum performant examples to application developers for Windows on Snapdragon. You will develop and implement improvements into the SW stack including SDK, Tools, and documentation that will directly impact the ease of use and performance realization by Windows Application Developers on Snapdragon. You will work closely with development leads, software, and hardware architects.Ideal candidate has knowledge of state of the art in AI for one of the domains such as Computer Vision, Audio, Generative AI and 1-2 years’ experience in optimization for performance on GPU, NPU.Responsibilities:Understand trends in ML network design, through customer engagements and latest academic research, and determine how this will affect both SW and HW designAnalyze ML/AI algorithms and workloads on exploratory and existing Qualcomm HW and SW stacks through simulation and on-device characterizationDevelop and perform comprehensive AI benchmark tests on Windows on Snapdragon using debug, analysis, and optimization toolsTune algorithms for ML/AI using compilers, kernels and HW features to improve mappings of ML/AI workloads on NPU, GPU, CPU on SnapdragonContribute new features and designs to system design of future SoCs that reduce performance bottlenecks through the workflowMinimum Qualifications:Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.Preferred Qualifications:Experience in algorithm development and performance analysis using profiling tools, and methodsKnowledge of state of the art in AI models for one or more of the domains such as Computer Vision, Audio, Generative AIExposure to front-end ML frameworks (i.e.,TensorFlow, PyTorch, ONNX)Knowledge of computer architecture, embedded system implementations a plusStrong software engineering principles are essentialAbility to code in C, C++ and PythonExperience with performance optimization of AI on GPU, NPU, CPU a plusStrong communication skills (written and verbal)Detail-oriented with strong problem-solving, analytical, and debugging skillsDemonstrated ability to learn, think and adapt in a fast-changing environment3+ years’ experience in Software in AI system optimizationMasters or PhD in Computer Science or Electrical EngineeringQualcomm 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 View email address on click.appcast.io 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).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.EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.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.Pay range and Other Compensation & Benefits :$122,800.00 - $184,200.00The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link .If you would like more information about this role, please contact Qualcomm Careers . #J-18808-Ljbffr