Nuvia
General 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 & Responsibilities
You 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 tasks
Develop agentic workflows and completely automated recommendation systems
Develop federated learning and on-device incremental model refinements
Work on quantization and low rank adaptation strategies
Work on training strategies and supporting deployment and commercialization for the machine learning features
Work on system and algorithmic design changes to improve machine learning inference speed
Lead 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 10+ years of active experience in AI Research, Software & Systems Engineering and related work experience.
Working experience in machine learning and deep network architectures
Working 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 pipelines
Prior 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 implementations
Prior work experience with on-device AI model optimization, federated learning, RL, IL.
Prototyping of an AI solution on Android / Linux
Exposure to hardware and systems architecture for power, performance, accuracy trade-offs
Keywords: Deep Learning, Machine learning, Generative AI, Computer Vision, Image Processing, ISP, Model Optimization
Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
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