Qualcomm Jobs

Company:

Qualcomm Semiconductor Limited

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

Qualcomm Overview:

Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in.

General Summary:

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.

The Role

Software development engineer working on Qualcomm AI Stack, an AI model inferencing software scalable to Qualcomm platforms.

The Person

Developing in the development time tools of Qualcomm AI Stack. Be familiar with the serialized format of ML model exported from training framework. Having strong sense and knowledge of coarse-grained AI operation performance analysis/optimization, and solid analytical and problem-solving skills.

Key Responsibilities

· Design, implement, optimize tools for AI model IR translation, optimization and quantization.

· Deliver high-quality code to keep the tools conforming to industrial standards, the fast-evolving AI ecosystem.

· Collaborate across the company, partners and customers to support the model deployment of commercial use cases and/or industrial benchmarks.

Qualifications(for new grad)

· Master's degree in Computer Science, Electrical Engineering, or related field.

· Proficiency in Python.

· Strong knowledge of Object-Oriented Programming, data structures, algorithms and operating system.

· Self-motivated and capable of working independently with minimal oversight.

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

Minimum Qualifications(for experienced engineers)

· Bachelor's degree in Computer Science, Software Engineering, or a related field.

· Proficiency in languages like Python, C++, or Java.

· Solid understanding and experience with PyTorch and TensorFlow.

· Understanding of compilers or intermediate representations in software development.

· Experience in developing or working with SDKs (Software Development Kits).

· Strong grasp of algorithms and data structures.

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

Preferred Qualifications(for experienced engineers)

· Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related field.

· Hands-on experience with edge computing frameworks and technologies.

· Proven experience in converting models between different formats (e.g., PyTorch/TensorFlow to proprietary IR).

· Knowledge of optimizing models for deployment on resource-constrained devices.

· Understanding of the internal workings of deep learning frameworks.

· Familiarity with embedded systems and constraints related to them.

· Experience in optimizing code and improving performance for edge devices.

· Previous experience deploying models onto edge devices and integrating them into existing systems.

· Ability to troubleshoot and debug complex issues related to model conversion and deployment.

· Strong communication skills to collaborate with cross-functional teams and convey technical concepts effectively.

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 : If you need an accommodation, during the application/hiring process, you may request an accommodation by sending email to accommodationsupport

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.

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If you would like more information about this role, please contact Qualcomm Careers (http://www.qualcomm.com/contact/corporate) .

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification