LLM Serving Engineer
Teknik, data och digitalt · Data, AI och analys · Maskininlärning · Mjukvaruutveckling · Data engineering
I korthet
As an LLM Serving Engineer at Qualcomm, you will be responsible for creating and implementing machine learning techniques, frameworks, and tools to enable efficient discovery and utilization of state-of-the-art ML solutions. You will model, architect, and develop machine learning hardware and software, optimizing AI models for deployment on hardware, and collaborating with cross-functional teams.
Ansvarsområden
- Applies Machine Learning knowledge to extend training or runtime frameworks or model efficiency software tools with new features and optimizations.
- Models, architects, and develops machine learning hardware (co-designed with machine learning software) for inference or training solutions.
- Develops optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools, etc.) to allow specific hardware features; collaborates with team members for joint design and development.
- Assists with the development and application of machine learning techniques into products and/or AI solutions to enable customers to do the same.
- Develops, adapts, or prototypes complex machine learning algorithms, models, or frameworks aligned with and motivated by product proposals or roadmaps with minimal guidance from more experienced engineers.
- Conducts complex experiments to train and evaluate machine learning models and/or software independently.
Krav
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
- OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
- OR PhD in Computer Science, Engineering, Information Systems, or related field.
- 2+ years of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras).
- 2+ years of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media).
- 2+ years of experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++).
- 2+ years of experience using statistics and probability (e.g., conditional probability, Bayes rule).
- 1+ year of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.
- 1+ year of work experience in a role requiring interaction with senior leadership (e.g., Director and above).
Önskade kvalifikationer
- Master's degree in Computer Science, Engineering, Information Systems, or related field.
- 2+ years experience working in a large matrixed organization.
Förmåner
- Competitive annual discretionary bonus program
- Opportunity for annual RSU grants
- Highly competitive benefits package designed to support your success at work, at home, and at play.
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