Staff Engineer - Machine learning

 
Company: Qualcomm India Private Limited
 
Job Area: Engineering Group, Engineering Group > Systems Engineering
General Summary:
Qualcomm Bangalore AI Research is looking for world-class algorithm engineers in general domain of machine learning and more specifically deep learning for computer vision and image processing tasks. Active areas of research include human aware AI, image restoration RAW to RGB AI ISP tasks, data engineering, generative models and multi-modal fusion. Come join a high-caliber team of engineers building advanced machine learning technology, best-in-class solutions, and model optimization tools to enable state-of-the-art networks to run 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 generative AI optimization. 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, autonomous vehicles, robotics, and IOT devices.
Key job responsibilities may include a subset of the following:

Developing machine learning algorithms for advanced imaging features (low-light, next-generation sensors, vision and scene understanding etc.)

Developing learnable image signal processing (ISP) pipeline for image reconstruction and classification tasks

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:

Bachelor's degree in Computer Science , or related Engineering field with 12+ years of active experience in AI Research, Software & Systems Engineering and related work experience.

OR
Master's degree in Computer Science , or related Engineering field with 8+ years of active experience in AI Research, Software & Systems Engineering and related work experience.
OR
PhD in Computer Science, Engineering, or related Engineering field with 5+ years of active experience in AI Research, Software & Systems Engineering and related work experience.

W orking 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.

Preferred qualifications:

Background in color science, and image signal processor pipelines

Prior work experience with Face Detection / Face Recognition, Human Aware AI, RAW to RGB AI ISP Tasks, Stable Diffusion, LVM and Control Net implementations

Prior work experience with on-device AI model optimizations

Exposure to hardware and systems architecture optimization for low power deep learning systems

Keywords: Deep Learning, Machine learning, Generative AI, Computer Vision, Image Processing, Camera, 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.

OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.

OR
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.


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