Engineer/ Sr Engineer/ Lead Sr Enginner, AI Platform Development

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 3+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience. 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 degree in Computer Science • 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: • Master’s degree in Computer Science or related field. • 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) Keywords: Cloud Computing, AI, GenAI, LLM, AWS, LangChain, ETL, Distributed Systems, Big Data Analytics, SW Engineering, Algorithm, SQL 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. 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