Company:Qualcomm India Private Limited

Job Area:Engineering Group, Engineering Group > Hardware Engineering

General Summary:

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience.
OR
Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience.
OR
PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field.

Senior AI/ML Engineer – Real-World Impact & Innovation We believe in fast-paced development, innovation, and cross-functional collaboration to deliver best-in-class AI/ML solutions for a connected world. We are looking for a highly skilled and experienced Senior AI/ML Engineer who thrives in dynamic environments, is passionate about solving real-world problems with machine learning, and consistently demonstrates technical excellence and professional integrity. We’re looking for a candidate who: o Demonstrates unwavering integrity, takes full ownership of their work, and holds themselves accountable to the highest standards. o Thrives in a collaborative environment and communicates effectively across teams. o Is proactive, self-driven, and passionate about solving complex problems using AI/ML. o Balances technical depth with practical implementation, always keeping the end-user and business impact in mind. o Maintains a continuous learning mindset and stays current with advancements in the field. Key Responsibilities o Design, develop, and deploy scalable machine learning models and end-to-end pipelines for realworld applications. o Collaborate with cross-functional teams including data engineering, product, and software development to integrate ML solutions. o Lead model experimentation, tuning, and performance evaluation. o Perform data analysis, feature engineering, and model evaluation on large-scale datasets. o Stay current with the latest research and advancements in AI/ML and proactively apply them to enhance existing systems and design innovative new solutions. o Mentor junior engineers and contribute to a culture of technical excellence and integrity. o Ensure ethical AI practices and model fairness in all deployments. Minimum Qualifications o Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (PhD is a plus). o 3+ years of experience in machine learning, deep learning, NLP, Computer Vision, or applied AI. o Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, and Scikit-learn, along with data processing libraries like Pandas and NumPy o Strong understanding of modern deep learning architectures such as CNNs, RNNs, LSTM networks, and Transformer-based models, along with their practical applications. o Strong foundation in data structures, algorithms, and software engineering principles, with a deep understanding of machine learning and deep learning techniques. o Experience with prompt engineering and fine-tuning large language models (LLMs). o Contributions to open-source AI/ML projects or published research. o Hands-on experience with LangChain, LangGraph, and Milvus for building LLM-powered applications, with a solid understanding of vector databases and semantic search techniques. o Proven experience in building multi-agent chatbots using LLMs, with a focus on agent coordination, task delegation, and autonomous decision-making. o Familiarity with data privacy, model explainability, and responsible AI practices. o Experience with cloud platforms (AWS, GCP, or Azure) and MLOps tools. o Experience working in Linux/Unix environments, with the flexibility to contribute to non-AI/ML development tasks when required. o Excellent communication skills and a track record of professional, respectful collaboration.

Applicants: Qualcomm 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 disability-accomodations@qualcomm.com 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).

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.

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If you would like more information about this role, please contact Qualcomm Careers.