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.

• 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.

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.

Applicants : If you need an accommodation, during the application/hiring process, you may request an accommodation by sending email to accommodationsupport

Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here (https://qualcomm.service-now.com/hrpublic?id=hr_public_article_view&sysparm_article=KB0039028) for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace.

Qualcomm is an equal opportunity employer and supports workforce diversity.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

If you would like more information about this role, please contact Qualcomm Careers (http://www.qualcomm.com/contact/corporate) .

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification