Sr. Staff Engineer, Machine Learning Engineering (Quantization SW)
About The Position
Artificial Intelligence is changing the world for the benefit of human beings and societies. QUALCOMM, as the world's leading mobile computing platform provider, is committed to enable the wide deployment of intelligent solutions on all possible devices – like smart phones, autonomous vehicles, robotics and IOT devices. Qualcomm is creating the building blocks for the intelligent edge. We are part of Qualcomm AI Research, and we focus on advancing Gen AI Technology for the Edge – including model fine tuning, hardware acceleration, model quantization, edge inference and related fields. Come join us on this exciting journey. The successful applicant should have a strong theoretical background and proven hands-on experience with enabling on-device AI using modern software engineering best practices.
Requirements
- 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.
Nice To Haves
- 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 working in agile environments.
- Prior experience in collaborating with multi-disciplinary teams across time zones.
- Strong leadership skills as a mentor, team player, communicator and presenter.
- Experience deploying GenAI LLM/LVM models on edge devices.
- Prior experience with model quantization, profiling and running models on edge devices.
- Prior experience with frameworks like Huggingface Optimum, ONNX runtime and OpenVino.
- Proven hands-on experience establishing a high-quality software delivery process using industry best-practices (code review, CI/CD, automation, etc.) is a plus.
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.
Benefits
- competitive annual discretionary bonus program
- opportunity for annual RSU grants
- highly competitive benefits package
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What This Job Offers
Job Type
Full-time
Career Level
Senior
