Company:
Job Area:
Engineering Group, Engineering Group > Systems Engineering
General Summary:
Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in.
Connected Camera System group creates embedded and smart device and camera/imaging solutions for Edge Boxes, IP Cameras, Sports Cameras, Drones, Robotics. The candidate will be responsible for evaluating, developing and optimizing cutting edge machine learning and deep learning algorithms, and IoT Gen AI and Vision AI enabled use case designs.
Responsibilities:
- System Design for state-of-the-art AI-based solution/application for IOT usecases
- Cutting edge Machine Learning and Deep Learning research, design, development and optimization
- System bandwidth analysis and computation for complex problems involving Vision AI and Gen AI usecases
- Coordination between cross functional/geo teams
Education and Minimum Qualifications:
- Master’s degree or equivalent in Engineering, Information Systems, Computer Science, or related field
- 3+ years knowledge and experience of embedded systems and system on chip micro-architecture
- 3+ years knowledge and experience of DSP architectures, optimization and acceleration of algorithms on DSP
Preferred Qualifications:
- Doctorate in Engineering, Information Systems, Computer Science, or related field
- Hands-on knowledge of TensorFlow, TFLite, Pytorch, ONNX
- 7+ years of relevant experience with focus on low level programming
- Experience in Natural Language Processing, Generative AI is a plus
In addition to this - candidate should be reasonably confident in verbal and written communication in English language.
Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
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