11 Sep
|
Qualcomm
|
Markham
Qualcomm Canada ULCEngineering Group > Machine Learning EngineeringGeneral Summary: AI's ability to solve complex problems across multiple domains is transformative. In the AI Software team, we build the Qualcomm AI Engine to enable OEMs and developers to run their Machine Learning workloads on Qualcomm's low-power AI accelerators. Your work will directly impact the runtime efficiency, latency, and power consumption of AI applications running on Qualcomm hardware deployed on cars, notebook computers, phones, and wearables.Note: This is not a data science position.Minimum Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ 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 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.PhD in Computer Science, Engineering, Information Systems, or related field.Duties and Responsibilities Design and implement core components of the ML runtime framework for inference on embedded systems, operating in low power,
small memory footprint platforms.Develop and maintain C/C++ code for runtime kernels and system-level integration.Develop model analyzing tools for the internal and external customers.Use cross compiler toolchains for embedded systems such as Android, embedded Linux and QNX.Address issues found in existing and past Qualcomm AI products.Debug customer machine learning use cases executing on Qualcomm AI Stack.Communicate across globally diverse team.Participate in software quality process improvements.Preferred Qualifications Eight or more years of relevant work experience.Experience with modern C++17 language features.Practical experience with developing middleware or firmware software.Experience with multitasking and multithreading driver development.Experience with Hexagon DSP SDK or cross compiler toolchains for embedded systems.Familiarity with TensorFlow, PyTorch or ONNX.Experience with tools such as git, Linux, JIRA and Docker.Knowledge of design patterns.Pay range and Other Compensation & Benefits $114,400.00 - $164,400.00. This pay scale reflects the broad, minimum to maximum, pay range for this job code for the posted location. In addition to base salary, we offer a competitive annual discretionary bonus program and opportunity for annual RSU grants. Our perks package is designed to support your success at work, at home, and at play.Equal Opportunity Employment Qualcomm is an equal opportunity employer. We provide reasonable accommodations for individuals with disabilities.#J-18808-Ljbffr
📌 Sr. Software Engineer | Qualcomm Ai Runtime For Low Power Ai - $114,400 - $164,400 A Year (Markham)
🏢 Qualcomm
📍 Markham