2 Nn Architectures Jobs

Qualcomm India Private Limited is a leading technology innovator that pushes the boundaries to enable next-generation experiences and drive digital transformation for a smarter, connected future. As a Qualcomm Software Engineer, your responsibilities will include designing, developing, modifying, and validating embedded and cloud edge software, applications, and specialized utility programs. You will play a crucial role in launching cutting-edge products that exceed customer needs by collaborating with various teams such as systems, hardware, architecture, and test engineers to design system-level software solutions. Minimum Qualifications: - Bachelor's degree in Engineering, Information Systems, Computer Science, or related field with 2+ years of Software Engineering experience - OR Master's degree in relevant field with 1+ year of Software Engineering experience - OR PhD in relevant field - 2+ years of experience with programming languages like C, C++, Java, Python, etc. As a Qualcomm Machine Learning Engineer, you will be responsible for creating and implementing machine learning techniques, frameworks, and tools to efficiently utilize state-of-the-art solutions across various technology verticals. Your tasks will involve assisting in the software design and development of the Qualcomm AI Stack, SDKs, and associated tools for Snapdragon platforms. Your role will require showcasing your passion for software design and development through analytical, design, programming, and debugging skills. Responsibilities: - Develop software for the AI orchestration framework, engine, and tools for executing Neural Networks on Snapdragon chips - Validate software performance and accuracy through detailed analysis and testing Minimum Qualifications: - 3+ years of software development experience using C/C++ and/or Python - Strong software development skills including data structure and algorithm design, object-oriented design, software debugging and testing - Strong communication skills (verbal, presentation, written) Preferred Qualifications: - Experience in developing embedded applications with low-level interactions between operating systems and hardware - Experience with Qualcomm AI Stack products - Experience with various NN architectures and Machine Learning frameworks - Software development experience with Java - Ability to collaborate with diverse teams and interests globally Education Requirements: - Required: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field - Preferred: Bachelor's degree in Computer Science, Computer Engineering, or Electrical Engineering 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 through the provided channels. Employees at Qualcomm are expected to adhere to all applicable policies and procedures, including security measures and confidentiality requirements. Please note that Qualcomm's Careers Site is for individuals seeking jobs directly at Qualcomm, and unsolicited submissions from staffing and recruiting agencies are not accepted. For more information about the role, you can contact Qualcomm Careers directly.,

Qualcomm India Private Limited is a leading technology innovator that strives to enable next-generation experiences and drive digital transformation to create a smarter, connected future. As a Qualcomm Machine Learning Engineer, you will play a crucial role in creating and implementing machine learning techniques, frameworks, and tools to efficiently utilize cutting-edge machine learning solutions across various technology verticals. Your responsibilities will include assisting in the software design and development of the Qualcomm AI Stack, SDKs, and associated tools for Snapdragon platforms. Your expertise in software design, development, analytical skills, and debugging will be essential in contributing to the success of the projects. In this position, you will lead a team as a Sr. Staff Engineer, focusing on developing applications, Test Framework, and automating the evaluation of "Agentic AI and multimodal use cases" using Qualcomm AI Stack SDKs and tools on Snapdragon platforms. Collaboration will be a key aspect of your role as you work closely with the AI software team and internal sub-teams supporting the Orchestrator SDK. Your autonomy and leadership skills will be valued as you provide guidance to team members and make significant decisions that impact the overall work beyond your immediate group. Key Responsibilities: - Develop test applications to evaluate Agentic AI and Multimodal use cases using Qualcomm AI Stack SDKs and tools on Snapdragon platforms. - Lead architecture, feature development, and enhancements in the SDK for various platforms. - Collaborate with the AI software team and internal sub-teams within Qualcomm to support the Orchestrator SDK. - Work independently with minimal supervision, providing guidance to team members and making impactful decisions in ambiguous situations. Minimum Qualifications: - 10+ years of general software development experience - 5+ years of Android/Linux software development experience - Experience in ML application development using Python/C/C++ - Ability to lead a software team and collaborate effectively - Strong software design and development skills, including data structure, algorithm design, and object-oriented programming - Excellent communication skills to convey complex information to diverse audiences and stakeholders - Strong decision-making abilities in the face of limited or conflicting information Preferred Qualifications: - Experience with different operating systems such as Linux, Android, QNX - Familiarity with Qualcomm AI Stack products like QNN, SNPE, QAIRT - Knowledge of LLM, LVM, LMM models, ONNX RT, and various NN architectures - Software development experience with Python/Java - Ability to collaborate across diverse global teams and interests Education Requirements: - Bachelor's degree in Engineering, Information Systems, Computer Science, or related field (required) - Master's degree in Computer Science, Computer Engineering, or Electrical Engineering (preferred) Qualcomm is dedicated to fostering diversity in its teams and expects all employees to actively support this initiative. If you require accommodations during the application/hiring process due to a disability, please reach out to Qualcomm for assistance. Qualcomm is committed to making its workplace accessible to individuals with disabilities and ensuring a fair and inclusive hiring process.,