Machine Learning Compiler SW Engineer Qualcomm
San Diego, CA

Job Description

Job Detail

Job Id E1971633 Job Title Machine Learning Compiler SW Engineer Post Date 04/08/2019 Company - Division Qualcomm Technologies, Inc. - Corporate Research & Development

Job Area Engineering - Software

Location California - San Diego

Job Overview Artificial Intelligence is changing the world for the benefits of human beings and societies. QUALCOMM, as the world's leading mobile computing platform provider, is committed to deliver power-efficient cognitive computing technologies for enabling the wide deployment of intelligent solutions on all possible devices. Be a part of the Corporate R&D Software team and you will be involved and participate in various development phases of the state-of-the-art technologies for next generation machine learning system. The candidate is expected to have strong interest and deep passion on making leading-edge "deep learning" framework and algorithms working on mobile/embedded platforms. All Qualcomm employees are expected to actively support diversity on their teams, and in the Company. Minimum Qualifications 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." 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 Qualifications Hands-on experience with DSP Kernels Hands-on Experience in C/C++, Python development (3+ years) Hands-on Experience with Object Orientated Design , TDD development solutions like GoogleTest etc. (2+ years) Experience with Source Code and Configuration management tools, git knowledge is required Willingness to work in a cohesive software development environment with ability to work on low level implementation (code & test) and interfacing with hardware and simulators Experience in machine learning frameworks and neural network architectures + ML compiler workload synthesis are a huge plus Prior working experience of hardware accelerators and hardware software co-design Experience in using C++ 14/17 (advanced features) Experience at both the firmware (RTOS) and system level (Linux) in SOC Experience of profiling software and optimization techniques " id="hdnPreferredQualifications" />Hands-on experience with DSP Kernels Hands-on Experience in C/C++, Python development (3+ years) Hands-on Experience with Object Orientated Design , TDD development solutions like GoogleTest etc. (2+ years) Experience with Source Code and Configuration management tools, git knowledge is required Willingness to work in a cohesive software development environment with ability to work on low level implementation (code & test) and interfacing with hardware and simulators Experience in machine learning frameworks and neural network architectures + ML compiler workload synthesis are a huge plus Prior working experience of hardware accelerators and hardware software co-design Experience in using C++ 14/17 (advanced features) Experience at both the firmware (RTOS) and system level (Linux) in SOC Experience of profiling software and optimization techniques Education Requirements Preferred: 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 Engineering Keywords