Embedded Software Engineer

Company: Qualcomm Canada ULC Job Area: Engineering Group, Engineering Group > Machine Learning Engineering Overview As a member of the Low Power AI solution team, you will play a critical role in deploying AI models on Qualcomm's low power AI accelerator. The position focuses on mapping high level machine learning operators to low level hardware instructions, involving optimization techniques such as graph transformation, scheduling, memory planning, operator implementation, quantization, and more. Your machine learning expertise is expected to enhance inference efficiency and accuracy of different models on Qualcomm's hardware architecture. Responsibilities Applies Machine Learning knowledge to extend training or runtime frameworks or model efficiency software tools with new features and optimizations. Models, architects, and develops machine learning hardware (co-designed with machine learning software) for inference or training solutions. Develops optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools) to leverage specific hardware features; collaborates with team members for joint design and development. Assists with the development and application of machine learning techniques into products and/or AI solutions to enable customers to do the same. Develops, adapts, or prototypes complex machine learning algorithms, models, or frameworks aligned with product proposals or roadmaps with minimal guidance from more experienced engineers. Conducts complex experiments to train and evaluate machine learning models and/or software independently. Qualifications Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, Information Systems, or related field. Preferred Qualifications: Master's degree in Computer Science, Engineering, Information Systems, or related field. 2+ years of experience with Machine Learning frameworks (e.g., TensorFlow, Caffe, Caffe2, PyTorch, Keras). 2+ years of experience in embedded system development and optimization with application to a specific ML domain (e.g., NLP, multi-media). 2+ years of experience with C/C++, ideally at the embedded level. 2+ years of experience using statistics and probability (e.g., conditional probability, Bayes rule). 2+ years experience working in a large matrixed organization. 1+ year of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and hardware. 1+ year of work experience in a role requiring interaction with senior leadership (e.g., Director and above). Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. You may e-mail 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. 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 $99,500.00 - $149,300.00 The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Salary is one component of total compensation at Qualcomm, which also includes a competitive annual discretionary bonus program and potential RSU grants. Our benefits package supports success at work, at home, and at play. Your recruiter can discuss all that Qualcomm has to offer. For more information about this role, please contact Qualcomm Careers. #J-18808-Ljbffr