Machine Learning – Staff Engineer Job Vacancy in Qcom Hyderabad, Telangana – Updated today

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Full Details :
Company Name : Qcom
Location : Hyderabad, Telangana
Position :

Job Description : Company:
Qualcomm India Private Limited
Job Area:
Engineering Group, Engineering Group > Software Engineering
General Summary
Job Overview

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 and engineers them to allow the running 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 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 involving different compiler toolchains and enable the product to work on upcoming chipsets, optimize the performance for benchmarking on multiple hardware accelerators (like CPU/GPU/DSP). 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. You will also have to keep up with the fast pace development happening in the industry and academia to continuously enhance our solution from software engineering as well as machine learning standpoint.
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
Educational Requirements
Bachelor’s/Master’s in Computer Science, Computer Engineering, or Electrical Engineering
Work Experience:
9-12 years of relevant work experience in software development
Minimum Qualifications
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
Education:
Bachelors – Computer Science, Bachelors – Engineering, Bachelors – Information Systems
Work Experiences:
5+ years of Software Engineering or related work experience
2+ years experience with Programming Language such as C, C++, Java, Python, etc.
Certifications:
Skills:
Preferred Qualifications
Education:
Work Experiences:
8+ years Software Engineering or related work experience. ,3+ years experience with Database Management Software. ,3+ years experience with API. ,3+ years experience working in a large matrixed organization. ,1+ years of work experience in a role requiring interaction with senior leadership (e.g., Director level and above).
Certifications:
Skills:
Mathematical Methods, Object-Oriented Programming (OOP), Scientific Analysis, Software Development Lifecycle (SDLC), Software Solutions
Applicants: If you need an accommodation, during the application/hiring process, you may request an accommodation by sending email to accommodationsupport
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If you would like more information about this role, please contact Qualcomm Careers.

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