Quantum Leap -Machine Learning – Multiple positions Full-time

Company:
Qualcomm India Private Limited

Job Area:
Engineering Group, Engineering Group > Software Engineering

General Summary:

Qualcomm is dedicated to building an environment where people re-entering the workforce feel welcome and excited to return to work. Qualcomm is very excited to launch Quantum Leap program.

Our goal is to work with qualified individuals and help them to restart the career journey, as well as build their skill sets for a successful career. We are now accepting applications for Engineering , IT and Finance openings across India.

We understand there are many reasons to take a career break. If you are ready to effectively re-enter the workforce, we may be the company for you! By joining our Quantum Leap Program, you will:
– Join the Team that is making an impact on how the world communicates.
– Expand your network
– Contribute to leading assignments & projects
– Gain mentorship for career guidance & support
– Reinforce your industry skills

Ready to make your comeback?

Join a new and growing team at Qualcomm focused on advancing state-of-the-art in Machine Learning. The team uses Qualcomm chips’ extensive heterogeneous computing capabilities. See your work directly impact billions of mobile devices around the world. In this position, you will be responsible for the development and commercialization of ML solutions like Snapdragon Neural Processing Engine (SNPE)/Android Neural Network framework on Qualcomm SoCs. You would be porting ML solutions to various platforms. You will have expert knowledge of debugging, improving, and maintaining cross platform compilation, linkage, build system and deployment aspects of large software C/C++ dependency stacks using best practices.

• 3-16 years of relevant work experience in software development (we have positions at multiple levels)
• Live and breathe quality software development with excellent analytical and debugging skills. Strong understanding of Deep Learning fundamentals
• Strong development skills in C++, Python Experience with at least one machine learning framework like TensorFlow, Caffe, Pytorch, etc.
• Experience with embedded systems development or equivalent.
• Understanding of software development and debugging in embedded environments.
• Strong understanding about Processor architecture, system design fundamentals Well versed in version control tools like git
• Excellent communication skills (verbal, presentation, written)
• Ability to collaborate across a globally diverse team and multiple interests

Minimum Qualifications:
• Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
OR
Master’s degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field.
• 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.

Preferred Qualifications

• Familiarity with neural network operators and model formats including PyTorch, ONNX, Caffe, Caffe2, and Tensorflow.
• Experience with machine learning accelerators or GPU development, optimizing algorithms for hardware acceleration cores using OpenCL, DSPs and/or ML specific cores
• Experience with ML application development. Background in mathematical operations: linear algebra, fast math libraries
• Experience working with heterogeneous or parallel computing systems and knowledge of associated languages like OpenCL, CUDA, etc is a plus.

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 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.