Job
Description
Qualcomm India Private Limited is a leading technology innovator that is dedicated to pushing the boundaries of what's possible to enable next-generation experiences. As a Qualcomm Systems Engineer, you will be involved in researching, designing, developing, simulating, and validating systems-level software, hardware, architecture, algorithms, and solutions to facilitate the development of cutting-edge technology. Collaboration across functional teams is essential to ensure that system-level requirements and standards are not only met but exceeded. In this role, you will be part of the AI SW team at Qualcomm, focusing on advancing Artificial Intelligence across various business segments such as Mobile, AR & VR Technology, IoT, and Auto ADAS. The AISW stack utilizes Qualcomm chips" heterogeneous computing capabilities to enable the execution of trained neural networks on devices without the need for a cloud connection. As a Senior Lead Engineer, your contributions will have a direct impact on billions of devices globally. Key Responsibilities: - Lead the design, development, and implementation of AI/ML solutions across multiple domains. - Collaborate with cross-functional teams to seamlessly integrate AI/ML components within the broader framework. - Address and resolve issues related to AI models fine-tuning, quantization, compression, and graph level optimizations to ensure high performance and accuracy. - Conduct in-depth research on industry trends and innovations in AI/ML to adopt best practices and deliver optimal solutions. - Develop and optimize quantization techniques for AI/ML models to ensure efficient execution on Qualcomm hardware. - Manage project timelines, objectives, and goals effectively while utilizing resources across functional areas efficiently. - Mentor and coach junior engineers, providing them with development experiences and networking opportunities. Qualifications: - Bachelor's degree in Engineering, Computer Science, or a related field with a minimum of 4+ years of experience in Software engineering. - Experience with software architecture, programming languages, and tools/frameworks such as PyTorch, TensorFlow, and ONNX. - Proficiency in C++ and Python, along with a strong understanding of data structures and algorithms. - Hands-on expertise in deep learning frameworks like ONNX and PyTorch. - In-depth knowledge of various AI model architectures, quantization, calibration algorithms, and machine learning compiler techniques. - Excellent analytical, development, and debugging skills, and a good understanding of SW design patterns and philosophies. - Knowledge of machine learning runtimes and AI model efficiency toolkit is a plus. Qualcomm is an equal opportunity employer and is committed to providing accessible processes for individuals with disabilities. If you require accommodations during the application/hiring process, you can contact Qualcomm to request reasonable accommodations. It is expected that all employees abide by applicable policies and procedures, including security measures regarding the protection of confidential information. Please note that Qualcomm does not accept unsolicited resumes or applications from agencies. If you have any inquiries about this role, please reach out to Qualcomm Careers directly.,
