Senior Engineer
Listed on 2026-05-31
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Software Development
AI Engineer, Software Engineer
Company
Qualcomm Technologies, Inc.
Job AreaEngineering Group, Engineering Group >
Software Engineering
This position is not eligible for Qualcomm immigration sponsorship We are looking for a Developer Relations Senior Engineer with a background in leveraging platform SDKs and industry-standard development practices to validate and deliver a comprehensive developer experience for internal and third party developers. These developers will be developing diverse AI applications using the Snapdragon AI APIs & optimized libraries to interface to other subsystem interfaces such as the camera, audio, display, graphics, memory, security, and operating system components available on Snapdragon.
As a member of the team responsible for the developer experience on “Edge AI” platforms like Snapdragon & Dragon wing, you will have the opportunity to develop end-to-end sample applications. These applications will include clear use of interfaces and templates which will allow developers to plug in their proprietary models to first test their model on Qualcomm hardware platforms. You will also work with internal developers and customer engineering teams to bring feedback, requirements, and feature enhancements from the developer ecosystem on use of Snapdragon & Dragon wing AI and Platform APIs as needed.
Through this experience, you will be well positioned to drive improvements into the SW stack including SDK, Tools, and documentation. This role will require you to work under the guidance of the Developer Relations Engineering Lead and collaborate with product engineers, product managers, customer engineers, OEMs, OS partners, and application developers.
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
- Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
- PhD in Engineering, Information Systems, Computer Science, or related field.
- 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
- Cross-functional collaboration across software, hardware engineering, developer marketing and product management teams.
- Understand trends in ML model usage, and workflow through application developer engagements and latest academic research.
- Develop and ensure sample application comprehensiveness for “Edge AI” on Snapdragon & Dragon wing platforms, to cover the gamut of models used, and use-cases including use of additional optimized libraries outside of AI functions.
- Interface with 3rd party application developers and other cross-site and cross-functional teams to arrive at easy-to-use sample application, and documentation that are directly leveraged by 3rd party app developers using Snapdragon and Dragon wing platforms.
- Contribute new features and designs to the Qualcomm AI toolkit to enhance the workflow experience of Application Developers.
- Bachelors in Computer Science or Engineering
- 5-10+ years’ experience in application development spanning multiple target platforms (embedded, desktop)
- Proficiency in programming languages such as Python, C++
- Experience with development of end-to-end applications on Windows and Linux
- Good communication skills to articulate complex technical concepts to non-technical and technical stakeholders.
- Clear problem-solving, analytical, and debugging skills
- Demonstrated ability to learn, think and adapt in a fast-changing environment
- Familiarity with software development methodologies, version control systems, and agile project management practices.
- Familiarity with AI/ML frameworks and tools like Tensor Flow or PyTorch, GPU programming, and parallel computing.
- Awareness of AI software stack and familiarity with AI performance tuning techniques on GPU, NPU based systems.
- Familiarity with computer vision, audio processing, and natural language processing (NLP) techniques. In-depth knowledge of CPU, GPU, and AI accelerator architectures is a plus.
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