Engineer, Senior-AI benchmark MLperf embedded

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 2+ years of Software Engineering or related work experience. ORMaster's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. ORPhD 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.

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

Minimum Qualifications

Live and breathe quality software development with excellent analytical and debugging skills. Very good development skills in C, C++, STL and Python. Experience with embedded systems development or equivalent. Good understanding of software development and debugging in embedded environments. Well versed in version control tools like git, Gerrit. Familiarity with build frameworks like CMake, Make, Gradle Excellent communication skills (verbal, presentation, written), ability to represent complex data in well-organized manner. Ability to collaborate across a globally diverse team and multiple interests

Preferred Qualifications

• Understanding of Machine learnings and Deep Learning fundamentals and key concepts Experience with ML application development or any benchmarking framework like MLPerf, AITUTU, GBAI etc
• Experience with any machine learning framework like TensorFlow, Pytorch, Onnx etc
• Good understanding about Processor architecture, system design fundamentals
• Experience with machine learning accelerators or GPU/DSP development, optimizing algorithms for hardware acceleration cores using OpenCL, DSPs and/or ML specific cores Experience in analysis and optimizations of ML KPIs like Performance, Accuracy metric, as well as system KPIs like Processor utilization, Memory, Cache, DDR etc, Experience with SW optimizations for custom SOCs/Accelerators, SIMD, vectorization Background in mathematical operations: linear algebra, fast math libraries

Work Experience:

• 2 to 4 years of relevant work experience in software development and optimizations

Educational Requirements

Bachelor's/Masters in Computer Science, Computer Engineering, or Electrical Engineering