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 Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces.
Minimum Qualifications:
Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. ORMaster's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. ORPhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.Seeking a dynamic Staff Engineer with 9+ years of experience to work on building and deploying AI use cases for edge devices. This role involves developing software components that enable AI-based applications, analyzing system behavior, and ensuring robust integration in real-world environments. Strong analytical skills and proficiency in Go, Python and C programming are key to success in this role.
Requirements
- A bachelor's/Masters degree in computer science or engineering.
- Excellent problem-solving and communication skills.
- 9+ years of experience in development and testing of applications / use-cases leveraging machine learning models including computer vision, large language models and others.
- Proficient in Go, Python and C, data structures, networking protocols and object-oriented concepts.
- Build and optimize front-end components with React.
- Experience in building LLM/RAG systems (Langchain, LangGraph, LangSmith preferred, Agents, etc.)
- Solid understanding of RAG systems and approaches, NLP, data science process, statistical modeling, machine learning, deep learning
- Experience in using Docker and Kubernetes to create reproducible and scalable environments.
- Experience in software development for Linux based systems.
- Quick ramp-up skills for working on of new technologies and systems.
- Familiarity with source code repositories (git/perforce/scm etc.) usage, defect tracking tools, and software engineering processes.
- Recommend AI enhancements to improve existing products.
Job Responsibilities
- Work with pre-defined AI models and build AI related use-cases around the models. Develop logic and components to enable use cases related to computer vision, LLM, sensors etc.
- Collaborate with external teams for cross-component integration.
- Develop and maintain embedded software in Go and C for edge devices.
- Perform low-level debugging, optimization, and code refinement for performance-critical tasks.
- Implement tools and utilities to support validation, functional and performance tests of existing software.