Company:

Qualcomm India Private Limited

Job Area:

Engineering Group, Engineering Group > Software Engineering

General Summary:

Qualcomm’s ML applications and systems team in Bangalore is looking for developers at various experience levels for developing AI stack and tools for its cloud and edge accelerator products. The team aims to develop industry leading AI inference software solutions and tools across cloud, Connected Intelligent Edge use cases that spans across AI frameworks, runtimes and deployment scenarios to provide best-in-class AI software offerings. The team focusses on efficient AI inferencing by research and development of graph optimization methods, advanced quantization and compression techniques, algorithms that can make the best tradeoffs between performance, accuracy, latency and power.

If you think you have what it takes to be part of team that develops world class ML applications and systems software and your skill set matches with the below job description, we will be happy to discuss with you further.

Minimum Qualifications:

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

OR

Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.

OR

PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.

• 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.

• Excellent analytical, development, and debugging skills

• Hands-on experience in ML/AI tools development involving Deep Learning frameworks like Keras, TensorFlow, ONNX, PyTorch, Caffe/Caffe2, etc…

• Understanding of model architectures of various CV, NLP and LLMs

• Strong understanding and experience in working on inference software like graph optimization, Quantization, pruning and compression techniques etc. is a plus

• Understanding of performance and accuracy metrics for different class of neural NWs

• Hands-on Experience with Object Orientated Design, design patterns

• Strong python / C++ implementation skills (Skill level > 7/10)

• Strong in Data structures & Algorithms (Skill level > 7/10)

Desirable Skills and Aptitudes

• Experience with GPUs, machine learning accelerators and related software is a plus

• Knowledge of ML compilers like TVM, GLOW, XLA is a plus

• Knowledge of machine learning runtimes like ONNX Runtime, Pytorch and TF runtimes is a plus

• Hands on use of version control tools like GIT, GITHUB

Qualifications

· Bachelor's / Masters/ PHD degree in Engineering, Machine learning/ AI, Information Systems, Computer Science, or related field.

· 6 – 8 years Software 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