Engineer, Lead Senior- IEIOT AI Systems
Qualcomm Incorporated (company site, opens in a new tab)4+ yrsBengaluruOn-siteDirect career pageEst. 28–45 LPA
Posted 17h ago
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Job description
Structured overview of role & requirements
About This Role
- Evaluate, develop, and optimize AI/ML models for deployment on Snapdragon chipset components including NPU and DSP.
- Develop and optimize AI inference frameworks and runtimes tailored for Hexagon NPU and DSP architectures.
- Perform system-level analysis for concurrent ML model execution, including quantization, graph optimizations, and daisy chaining of Vision AI, Gen AI, and VLA models.
Minimum Requirements
- Bachelor's degree in Engineering, Computer Science, Information Systems or related field with 4+ years systems engineering or related work experience; OR Master's with 3+ years; OR PhD with 2+ years experience.
- Experience specifically with AI/ML model optimization on embedded platforms (e.g., Hexagon NPU, DSP) implied mandatory from responsibilities.
- Proficiency in software engineering skills including C/C++ programming and embedded system development.
- Work Experience Required: 2+ to 6+ years based on degree and specified experience levels in systems/software engineering or related fields.
Ideal Candidate Profile
- Strong experience working on AI model quantization, graph optimizations, and embedded AI frameworks, especially on Hexagon NPU or DSP architectures.
- Skilled in managing system-level performance and concurrency of multiple AI workloads including Vision AI and Gen AI cases.
- Background includes hands-on embedded programming and familiarity with machine learning frameworks such as TensorFlow, PyTorch, ONNX, with some exposure to NLP and video/image processing.