Deep Learning Software Engineer ? LLVM based Compiler Tool Chain Qualcomm
San Diego, CA

Job Description

Job Detail

Job IdE1970941Job TitleDeep Learning Software Engineer - LLVM based Compiler Tool ChainPost Date03/19/2019Company-DivisionQualcomm Technologies, Inc.-Corporate Research & Development

Job AreaEngineering - Software

LocationCalifornia - San Diego

Job OverviewArtificial Intelligence is changing the world for the benefit of human beings and societies. QUALCOMM, as the world's leading mobile computing platform provider, is committed to enable the wide deployment of intelligent solutions on all possible devices.Be a part of the Corp R&D Software team in our Deep Learning research project, you will participate in the research of state-of-the-art technologies for next generation mobile/embedded machine learning platforms.In this role you will design, develop & test leading-edge machine learning compiler and tool chains that generate efficient runtime kernels for mobile/IOT target hardware.You will work as part of a multi-disciplinary team of Machine Learning researchers and software developers working to make Machine Learning applications/models to run optimally on Qualcomm's platforms. This will involve working in a dynamic research environment, collaborating with internal teams, understanding the architecture of Qualcomm's SOC compute and ML HW accelerators.All Qualcomm employees are expected to actively support diversity on their teams, and in the Company.Minimum QualificationsBachelor's degree in Engineering, Information Systems, Computer Science, or related field.

5+ years Software Engineering or related work experience.

2+ years experience with Programming Language such as C, C++, Java, Python, etc." id="hdnMinimumQualifications" />Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

5+ years Software Engineering or related work experience.

2+ years experience with Programming Language such as C, C++, Java, Python, etc.Preferred QualificationsHands-on experience with code generation implementation/optimization leveraging LLVM compiler framework1+ year hands-on experience with compiler frameworks such as LLVM or GCCBasic knowledge of neural networks, with hands-on experience on any ML frameworks, such as TensorFlow or PyTorchFamiliarity with any of the deep learning compilers framework TVM, Glow, XLA, or TensorFlow LiteFamiliarity with Qualcomm Hexagon DSP.Hands on experience with high computation performance language, such as Halide, CUDA, or OpenCL, is a plusExperience with convolution neural networks (CNNs) is a plusPrevious experience working in an Agile process, and collaborating with multi-disciplinary teams in a dynamic research environment." id="hdnPreferredQualifications" />Hands-on experience with code generation implementation/optimization leveraging LLVM compiler framework1+ year hands-on experience with compiler frameworks such as LLVM or GCCBasic knowledge of neural networks, with hands-on experience on any ML frameworks, such as TensorFlow or PyTorchFamiliarity with any of the deep learning compilers framework TVM, Glow, XLA, or TensorFlow LiteFamiliarity with Qualcomm Hexagon DSP.Hands on experience with high computation performance language, such as Halide, CUDA, or OpenCL, is a plusExperience with convolution neural networks (CNNs) is a plusPrevious experience working in an Agile process, and collaborating with multi-disciplinary teams in a dynamic research environment.Education RequirementsPreferred: Master's, Computer Engineering and/or Computer Science and/or Electrical Engineering" id="hdnEducationalRequirements" />Required: Bachelor's, Computer Engineering and/or Computer Science and/or Electrical Engineering

Preferred: Master's, Computer Engineering and/or Computer Science and/or Electrical EngineeringKeywords