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Engineer, Staff in Hyderabad, Telangana

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Engineer, Staff

Qualcomm Hyderabad, Telangana (Onsite) Full-Time

Company:

Qualcomm India Private Limited

Job Area:

Engineering Group, Engineering Group > Software Engineering

General Summary:

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces.

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.

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

Staff Engineer (AISW)

Job Location: Hyderabad

 

More details below:

Join the growing team at Qualcomm focused on advancing state-of-the-art in Machine Learning. The team uses Qualcomm chips’ extensive heterogeneous computing capabilities to allow inference of trained neural networks on-device without a need for connection to the cloud. Our inference engine is designed to help developers run neural network models trained in a variety of frameworks on Snapdragon platforms at blazing speeds while still sipping the smallest amount of power. See your work directly impact billions of devices around the world.

Ability to collaborate across a globally diverse team and multiple interests.

 

Machine Learning Engineer

Job Location: Hyderabad

 

More details below:

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) and AI Model Efficiency Toolkit (AIMET) on Qualcomm SoCs. You will have expert knowledge of design, improvement, and maintenance of large AI software stacks using best practices.

 

Work Experience:

1.     6-14 years of relevant work experience in software development (we have positions at multiple levels)

2.     Live and breathe quality software development with excellent analytical and debugging skills. Strong understanding of Deep Learning and Machine learning theory and practice.

3.     Experience with Deep learning model development. Data transformations, model training, model design, model optimization.

4.     Familiarity with various deep learning architectures and problem domains like Computer Vision, Speech recognition, NLP etc.

5.     Strong development skills in Python and C++. Experience with at least one machine learning framework like TensorFlow, ONNX, Pytorch, etc.

6.     Understanding of software development and debugging in embedded environments.

7.     Excellent communication skills (verbal, presentation, written)

8.     Ability to collaborate across a globally diverse team and multiple interests.

 

Preferred Qualifications

1.     Familiarity with neural network operators and model formats including PyTorch, ONNX, and Tensorflow.

2.     Familiarity with neural network optimization techniques like graph optimization, quantization, pruning, knowledge distillation, network architecture search etc.

3.     Strong understanding about embedded systems, system design fundamentals.

4.     Well versed in version control tools like git

5.     Experience with machine learning accelerators, optimizing algorithms for hardware acceleration cores, working with heterogeneous or parallel computing systems.

Educational Requirements

•       Bachelor's/Master’s/PhD in Computer Science, Computer Engineering, or Electrical Engineering

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

Email blocked - click to apply?subject=Accommodation%20Support"> 

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

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

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Recommended Skills

  • Algorithms
  • Analytical
  • Architecture
  • Artificial Intelligence
  • Artificial Neural Networks
  • C (Programming Language)

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