AI Model System Software Performance Optimization Engineer - Senior Engineer
Qualcomm Incorporated (company site, opens in a new tab)3–5 yrsBengaluruOn-siteDirect career pageEst. 20–35 LPA
Posted on 24 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead performance optimization and benchmarking of AI models and tools on Windows on Snapdragon platforms.
- Develop reference implementations, optimization workflows, and best practices to improve AI application performance and developer productivity.
- Collaborate with hardware architects, software leads, and customer teams to enable high-performance AI solutions leveraging Snapdragon CPUs, GPUs, and NPUs.
Minimum Requirements
- 3-5 years of experience in AI/ML application development with hands-on optimization on CPUs, GPUs, and NPUs.
- Bachelor's degree or higher in Engineering, Computer Science, Information Systems or related field.
- Proficiency in C, C++, and Python programming languages.
- Experience with AI frameworks such as PyTorch, TensorFlow, ONNX Runtime, and understanding of ML architectures including CNNs, RNNs, and Transformers.
Ideal Candidate Profile
- Experienced in architecting and optimizing software frameworks for complex heterogeneous or multi-processor systems.
- Skilled in applying cutting-edge AI techniques including transformer-based models and large language models on hardware-accelerated platforms.
- Comfortable working cross-functionally in a fast-evolving environment to drive adoption and continuous improvement of AI performance on Snapdragon-based Windows applications.