Principal Software Engineer (Qualcomm Snapdragon Experience)

Job Description -

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• Design, develop, and optimize image processing algorithms using OpenCV libraries
• Train, integrate, and validate AI/ML models for image processing applications.
• Implement, debug, and optimize applications on Qualcomm Snapdragon processors.
• Develop and maintain software in C/C++ on Ubuntu 22.xx (or equivalent Linux environment).
• Leverage Python for prototyping, data processing, and AI workflows.
• Collaborate within an Agile development team, participating in sprint planning, daily stand-ups, and retrospectives.
• Utilize industry-standard tools such as Git, JIRA, and Confluence for version control, project tracking, and documentation.
• Perform code reviews, technical documentation, and knowledge sharing within the team.
• Communicate project progress, challenges, and solutions effectively to both technical and non-technical stakeholders.
• Contribute to a collaborative team culture by demonstrating strong interpersonal skills and supporting team success.

• Bachelor’s degree in Science, Technology, Engineering, or Mathematics (STEM) with 9+ years of relevant software development experience, OR
• Master’s degree in STEM with 7+ years of related professional/military experience that includes a background in software development.
• Hands-on experience with all phases of the software development life cycle (SDLC).
• Familiarity with Agile methodologies and collaborative development practices.
• 3–4 years of experience developing and optimizing image processing algorithms (OpenCV or equivalent).
• 1–2 years of working experience on Qualcomm Snapdragon processors.
• Proficiency in C/C++ development in Ubuntu/Linux environments.
• Working knowledge of Python for AI and automation workflows.
• Proficiency with JIRA, Confluence, Git, and related tools.
• Excellent oral and written communication skills.
• Demonstrated ability to work effectively in a team environment with strong interpersonal skills.
• Experience with GPU programming (CUDA/OpenCL) or hardware acceleration for image processing
• Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
• Knowledge of embedded systems development and real-time optimization.
• Strong problem-solving, debugging, and analytical skills.

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