Engineer, Staff - IEIOT AI Systems
Qualcomm · Bengaluru · onsite · Posted 57d ago
Undisclosed6–11 yrsfulltimeSourced from
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About this role
Company: Qualcomm India Private Limited
Job Area: Engineering Group, Engineering Group > Systems Engineering
Job Summary As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Systems Engineer, you will research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enables the development of cutting-edge technology. Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards.
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.
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
Job Overview Qualcomm IE-IOT AI team is looking for hands on, passionate engineers for cutting edge AI deployment. Snapdragon chipset utilizes its powerful micro-processor, GPU, NPU and DSP to provide state-of-art platforms that enables advanced AI use cases. From state of art LLMs, to small CV based AI network or Robotic VLAs this group takes care of variety of AI model deployment and optimization.
The candidate will be responsible for evaluating, developing, and optimizing cutting edge machine learning and deep learning algorithms, and IoT Gen AI and Vision AI enabled use cases on device.
Responsibilities - Analysis and optimization of AI/ML models on various classes on Hexagon NPU
- Development of AI inference frameworks and runtimes for Hexagon NPU and DSP architectures
- Implementation and optimization of deep learning operators on SIMD/VLIW NPU or DSP architectures
- Understand benefit/drawback of various quantization schemes, use internal tool chains to control loading, execution, and scheduling of various models
- Perform system level analysis of concurrent ML model execution and daisy chaining ML models including Vision AI, Gen AI and VLA models
- Good understanding and hands-on experience with AI Model Quantization, Graph Optimizations, Graph Transformations
- Bachelor's degree or equivalent in Engineering, Information Systems, Computer Science, or related field.
- 6+ years Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
- 3+ years Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
- Masters in Imaging/Color Engineering and/or Electrical Engineering, and/or related field
- Prior experience with high performance embedded programming preferred
- Hands-on knowledge of TensorFlow, TFLite, Pytorch, ONNX
- Proficiency in Machine Learning and Data Modeling, especially image/video related data
- Proficiency in Natural Language Processing is a plus
- Knowledge and experience of embedded systems with assembly/C/C++ programming
- Good understanding of system on chip micro-architecture
Sourced from naukri
Skills
IOTHardware Engineeringai modelEmbedded ProgrammingAi DeploymentEmbedded Systemsdeploymentelectrical engineeringconcurrentDigital TransformationAlgorithmsArchitectureDeep LearningData ModelingArtificial Intelligence
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Qualcomm
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