Lead Architect – AI Platforms & Distributed Systems

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: Our team is focused on applying state-of-the-art AI and ML technologies to solve complex business problems in the chip design, qualification, and debug engineering processes. We aim to enhance engineering efficiency through intelligent automation, data-driven insights, and innovative tool development. This role focuses on building scalable cloud-native AI applications that enhance engineering productivity. You’ll work on distributed systems, cloud platforms, and user-facing tools that integrate AI/ML capabilities into chip design and debug workflows. Key Responsibilities • Design and implement AI/ML applications and pipelines using LLMs, GenAI platforms, and custom models to address real-world engineering challenges. • Build intelligent agents and user interfaces that integrate seamlessly into engineering workflows. • Develop robust data ingestion, transformation, and analysis pipelines tailored to chip design and debug use cases. • Build distributed computing architectures and scalable backend services. • Design intuitive user interfaces and intelligent agents for engineering teams. • Implement robust ETL pipelines and integrate with SQL/NoSQL databases. • Collaborate with team leads to ensure timely delivery and high-quality solutions. • Provide technical support and training to internal teams, helping resolve issues and improve adoption. • Engage in cross-functional initiatives to solve technical problems across departments. • Continuously contribute to the innovation and evolution of tools, technologies, and user experiences. Minimum Qualifications: • Bachelor’s/Master's degree in Computer Science with minimum 7+ years of work experience • Very Strong in data structures, algorithms, and software design principles. • Strong programming skills in Python and C/C++. • Experience in building scalable software systems and solving complex technical problems. • Experience with software architecture and design patterns. • Fast learner with a strong technical foundation and ability to work independently. • Very Strong Analytical and problem Solving Skill. Preferred Qualifications: • Proficiency in data analysis using Python libraries (e.g., Pandas, NumPy, Matplotlib). • Familiarity with SQL databases, ETL frameworks, and cloud platforms (e.g., AWS). • Hands-on experience on Cloud Scale & Distributed Computing Architectures. • Hands-on experience with AI/ML technologies including:Supervised and unsupervised learningLLMs, GenAI platforms, and RAG optimizationML frameworks like scikit-learn, PyTorch, TensorFlowLLM integration frameworks (e.g., LangChain) Minimum Qualifications: • Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. 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). 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