Company:QT Technologies Ireland Limited

Job Area:Engineering Group, Engineering Group > ASICS Engineering

General Summary:

About Qualcomm: Qualcomm is a leader in wireless innovation, shaping the future of connected devices. Our cutting-edge technologies power billions of products worldwide, and our low-power Machine Learning (ML) solutions set the standard for efficiency and scalability.

Role Overview: Join Qualcomm's NPU Architecture team as a Machine Learning Engineer specializing in PyTorch/C++ development. In this role, you will create and optimize critical technologies for our compiler, quantization processes, ML workloads, and performance optimizations. You will also collaborate directly with strategic customers to deliver impactful solutions, shaping the future of energy-efficient ML technology. Your work will empower the world’s lowest-power ML solution, deployed in more devices globally than any other.

Key Responsibilities:

Develop and enhance ML compilers using PyTorch and C++ tailored for Qualcomm’s Neural Processing Unit (NPU) architecture.Design and implement advanced quantization techniques to improve model efficiency and accuracy.Optimize ML workloads for deployment across diverse devices, ensuring top-tier performance and energy efficiency.Work directly with strategic customers to address specific challenges and deliver tailored ML solutions.Collaborate with architecture and software engineering teams to integrate cutting-edge ML technologies into Qualcomm platforms.Research, prototype, and implement innovative solutions in ML compiler design and system-level optimizations.Evaluate and debug ML performance to identify and resolve bottlenecks in complex workflows.Create thorough technical documentation to share knowledge and advancements with the team.

Minimum Qualifications:

• Bachelor's degree in Science, Engineering, or related field and 2+ years of ASIC design, verification, validation, integration, or related work experience.
OR
Master's degree in Science, Engineering, or related field and 1+ year of ASIC design, verification, validation, integration, or related work experience.
OR
PhD in Science, Engineering, or related field.

Qualifications:

Bachelor’s or advanced degree in Computer Science, Electrical Engineering, Machine Learning, or a related discipline.Strong expertise in PyTorch and C++ programming.Experience with ML workload analysis, compiler development, and quantization techniques.Familiarity with deep learning frameworks such as TensorFlow or ONNX is a plus.Proven track record of solving complex performance and efficiency challenges in hardware-aware ML solutions.Ability to work collaboratively with strategic customers and deliver impactful results.Excellent analytical skills and ability to thrive in a high-performance team environment.

Preferred Qualifications:

Experience with ML model deployment on hardware accelerators such as GPUs, TPUs, or NPUs.Understanding of system-level architecture and low-level programming.Contributions to ML research or publications in relevant fields are an advantage.

Why Join Qualcomm? At Qualcomm, you’ll be part of an innovative team that drives impactful advancements in ML technology. As a member of the NPU Architecture team, you’ll work directly with strategic customers to create customized solutions while shaping the future of energy-efficient ML. Your contributions will support technology that powers more devices worldwide than any other ML solution.

*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.

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).

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