Company:Qualcomm India Private Limited

Job Area:Engineering Group, Engineering Group > Systems Engineering

General Summary:

Looking for “ML framework and AI compiler Engineer” responsible for

Designing, implementing, and deploying machine learning models using PyTorchFocusing on backend infrastructure and system architecture. Responsibilities often include developing framework, integrating with other AI tools, and ensuring scalability and reliability. 

Here's a more detailed breakdown of what you might see in such a job description:

Key Responsibilities:

Model Development and Deployment: Designing, building, and deploying AI models, particularly those leveraging PyTorch for deep learning. Backend Infrastructure: Developing and maintaining the backend systems that power AI applications, including data ingestion, processing, and storage. System Architecture: Designing scalable and high-performance backend architectures to handle AI workloads. Model Optimization: Optimizing model performance for speed, accuracy, and resource efficiency. Integration: Integrating AI models with other systems and applications. API Development: Creating and maintaining APIs for communication between frontend and backend components. Data Handling: Managing data ingestion, preprocessing, and storage for AI training and inference. Collaboration: Working with data scientists, product managers, and other engineers to bring AI solutions to life. 

Tools, Technologies, Skills and Programming:

C, C++: Strong programming capability using advanced techniques to design and develop AI compilers and backends.Scripting: Strong expertise in Python with design, develop, release and maintain projects.AI Frameworks: Familiarity with other AI frameworks like PyTorch, TensorFlow, Hugging Face, etc. Machine Learning Knowledge: Understanding of machine learning principles and algorithms starting Computer vision to large language models and continuously update to new trends.Expertise to deep learning accelerator programming (GPU, NPU). Any parallel programming experience (Like CUDA, OpenCL, MKLDNN ..etc) is a plus.Experience with deep leaning compilers like Glow, TVM …etc is a plus.

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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