Qualcomm Technologies, Inc. is looking to advance Gen AI Technology for the Edge, including model fine tuning, hardware acceleration, model quantization, edge inference and related fields.
Requirements
- Strong Software Engineering/Development skills combined with a solid foundation in AI and general ML techniques
- Proven hands-on experience evaluating and optimizing Generative AI workflows for accuracy, performance, and other key metrics
- Prior experience with ML model optimization frameworks and a familiarity with applying techniques such as quantization, pruning etc
- Knowledge of neural networks, with hands-on experience using ML frameworks such as PyTorch, ONNX etc
- Strong Python design and implementation skills
- Strong general analytical and debugging skills
- Prior experience with frameworks like Huggingface Optimum, ONNX runtime and OpenVino
Responsibilities
- Work in a dynamic research environment
- Be part of a multi-disciplinary team of researchers and software engineers who work with cutting edge AI frameworks and tools
- Architect, design, develop and test model optimization techniques that include - but are not limited to - graph optimization, pruning and quantization
Other
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience
- Master's degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience
- PhD in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience
- Strong leadership skills as a mentor, team player, communicator and presenter
- Prior experience working in agile environments
