Senior Engineer

Company:Qualcomm India Private LimitedJob Area:Engineering Group, Engineering Group > Systems EngineeringGeneral Summary:Qualcomm Bangalore AI Research is looking for world-class machine learning engineers in general domain of machine learning and more specifically deep learning for computer vision and image processing tasks. Active areas of research include low power embedded AI on edge devices, human centric AI, AI based personalization and recommendation systems, generative models and multi-modal fusion. The team comprises highly skilled and motivated professionals building advanced machine learning technology, best-in-class solutions, and model optimization tools enabling state-of-the-art network inferences on-device with limited power, memory, and computation.Members of our team enjoy the opportunity to participate in cutting edge research while simultaneously contributing technology that will be deployed worldwide in our industry-leading devices.Roles & ResponsibilitiesYou will be part of a multi-disciplinary talented team working on on-device AI research, development and end to end prototyping of given use-case. Collaborate in a cross-functional environment spanning hardware, software and systems. See your design in action on industry-leading chips embedded in the next generation of smartphones, augmented reality headsets, autonomous vehicles, robotics, and IOT devices.Key job responsibilities may include a subset of the following:Develop machine learning algorithms for advanced imaging features (low-light, next-generation sensors, vision and scene understanding etc.)Develop learnable image signal processing (ISP) pipeline for image reconstruction and classification tasksDevelop agentic workflows and completely automated recommendation systemsDevelop federated learning and on-device incremental model refinementsWork on quantization and low rank adaptation strategiesWork on training strategies and supporting deployment and commercialization for the machine learning featuresWork on system and algorithmic design changes to improve machine learning inference speedLead teams to drive innovative research ideas and develop prototype in collaboration with other researchers and engineers.Stay abreast with latest SOTA and actively shape latest research in the field.Stay passionate at execution.Contribute to purposeful innovation.Engage with leads and stakeholders across business units to translate research into business impact.Minimum qualifications:Master's / Ph.D degree in Computer Science, or related Engineering field with 2+ years of active experience in AI Research, Software & Systems Engineering and related work experience.Working experience in machine learning and deep network architecturesWorking experience with machine learning framework/packages (e.g, PyTorch, TensorFlow)Strong background in image and signal processing, statistics, and data analysis.Strong programming skills and working experience in C/C++ and Python.Additional qualifications:Background in color science, and image signal processor pipelinesPrior work experience with Object detection/classification/tracking, Recommendation Systems, Human Aware AI, RAW to RGB AI ISP Tasks, Stable Diffusion, VLM, LLM and Control Net implementationsPrior work experience with on-device AI model optimization, federated learning, RL, IL.Prototyping of an AI solution on Android / LinuxExposure to hardware and systems architecture for power, performance, accuracy trade-offsKeywords: Deep Learning, Machine learning, Generative AI, Computer Vision, Image Processing, ISP, Model OptimizationMinimum Qualifications:Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.ORMaster's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.ORPhD in Engineering, Information Systems, Computer Science, or related field.Applicants: Qualcomm is an equal opportunity employer. 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