Job Description

Company:

Qualcomm Semiconductor Limited

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

Minimum Qualifications:

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

Job Overview:

Qualcomm stands as a beacon of innovation, pioneering the forefront of on-device AI and unlocking the transformative potential of 5G. Our breakthroughs herald an era of unparalleled connectivity, sparking possibilities that will reshape industries, generate employment, and enrich lives. At the heart of this revolutionary era, Qualcomm's commitment to on-device AI leadership stands unmatched. Shaping 5G's potential into world-altering technologies demands inventive minds, diverse skills, and cultural backgrounds—a defining epoch known as the Age of Invention..

Are you poised to immerse yourself in the forefront of technological evolution, comparable in significance to the advent of the Internet? Machine learning is poised to revolutionize EVERYTHING. In Taiwan, our AI Software Engineering team, collaborating extensively with global AI R&D teams, is at the helm of Qualcomm's pioneering advancements. Join us in leveraging your skills to expand Qualcomm's trailblazing AI portfolio (Qualcomm AI Stack), with a distinct emphasis on a software platform tailored for AI applications in Mobile, Automotive, IoT, and HPC devices, establishing our leadership in the AI PC domain. We integrate cutting-edge hardware with high-performance software, empowering rapid execution of deep neural networks on our unparalleled range of Snapdragon processors, setting the benchmark for minimal power consumption. Your role here is pivotal, enabling advanced machine learning scenarios atop Qualcomm's hardware and software infrastructure. You'll contribute to system software, tool development, maintenance, and evolution for various ML computing SDKs tailored for Qualcomm processors, both on Windows OS and Android OS. Amplifying the SDK's capabilities, collaborate with neural network frameworks like PyTorch and TensorFlow. Extend our neural net engine to support the latest DNNs emerging from the research community and optimize for the next-gen hardware acceleration cores. Additionally, validate engine performance and accuracy through meticulous analysis and comprehensive test coverage. Thrive in software development, wielding exceptional analytical, development, and debugging skills. Partner with industry leaders to usher in the next generation of machine learning technology, solidifying Qualcomm's pioneering stance in the AI PC domain.

Minimum Qualifications

• Bachelor's degree in Computer Science, Electrical Engineering, or related field.

• Proficiency in programming languages such as C, C++, Java, Python, etc., with a focus on Windows or Android.

• Experience in large-scale software projects, particularly in AI-related software development for Windows or Android.

• Proficiency with version control systems like Git and software development tools like Gerrit and JIRA..

• Familiarity and hands-on experience with Windows and Android development environments, APIs, and frameworks related to AI and machine learning.

• Strong understanding of system architecture and software design principles for AI SDKs on Windows and Android.

• Ability to communicate technical concepts effectively and work collaboratively within cross-functional teams.
 

Preferred Qualifications

• 6+ years of Software Engineering or related work experience within wireless, telecommunications, 3C consumer devices, or semiconductor industry.

• Strong fundation in software development principles, including object-oriented programming, data structure, algorithms, and software design patterns.

• Extensive expertise and proven track record in developing and optimizing AI-related computations.

• Experience in initiating, contributing to, or leveraging open-source projects.

• In-depth knowledge of Windows software development in user space, particularly focusing on AI computing functionalities.

• Solid understanding of compiler technology relevant to AI-related computations.

• Hands-on experience in integrating and optimizing AI frameworks like PyTorch or TensorFlow.

• Familiarity with performance profiling and optimization for AI-related computations.
 

Expertise in at least one of the following areas

• DSP software development and algorithm implementation: Proficiency in designing and implementing algorithms for Digital Signal Processing (DSP) in software.

• OpenCL programming and debugging: Experience in programming and debugging using OpenCL, particularly for parallel computing applications.

• Performance profiling and optimization for parallel computing: Strong understanding and practical experience in profiling and optimizing performance for parallel computing tasks.

• Image processing, computer vision, and object/face detection specifically: Expertise in image processing, computer vision techniques, and specialized knowledge in object/face detection methodologies.

• Understanding compiler technology: Familiarity with ML compilers such as TVM/Glow/XLA, as well as experience in LLVM/GCC backend development, optimization analysis, and implementation is highly advantageous.

• AI experience: Knowledge of Deep Learning/CNN fundamentals, proficiency in training neural networks to solve real-world problems, and familiarity with frameworks like TensorFlow/PyTorch are considered strong assets for this role.

Enthusiasm in machine learning technology. Hand-on experience in design/implementation of deep learning networks via modern frameworks, including TensorFlow, Pytorch, etc. Ability to quickly learn new technologies and work on resolving customer reported technical problems during mobile or wireless communication product development cycles. Excellent analytical, problem solving and Communication skills and willingness to work with customers

Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

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 Qualcomm Careers.

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