AI SDK Software Engineer at Qualcomm Technologies Inc Turkey

Shanghai, Shanghai, China -

Full Time

Start Date

Immediate

Expiry Date

01 Apr, 26

Salary

0.0

Posted On

01 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

C/C++ Programming, Linux, Machine Learning, Neural Networks, Python Programming, SDK Development, ARM Architecture, Quantization, Deep Learning Frameworks, Parallel Programming, DSP Software Development, Algorithm Implementation, Problem Solving, Debugging, Documentation, Presentation Skills

Industry

Semiconductor Manufacturing

Description

Company: Qualcomm China Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Job overview: As a member of Qualcomm China's engineering team dedicated to automotive infotainment and ADAS platforms, you will play a pivotal role in advancing embedded deep learning solutions. We are seeking skilled engineers with expertise in machine learning to drive innovation and development in this dynamic domain. Our objective is to seamlessly integrate high-performance software with advanced hardware, enabling rapid execution of deep neural networks. This approach is designed to optimize and enrich the driving experience—particularly in ADAS and GenAI applications—by leveraging the full potential of Snapdragon chipsets embedded within modern vehicles. In this position, you will work extensively with neural network frameworks such as PyTorch and ONNX, contributing to the continuous enhancement of our neural network inference engine to support cutting-edge deep learning models emerging from both academia and industry. You will also be responsible for optimizing and fine-tuning these applications for Qualcomm’s next-generation hardware acceleration platforms, including DSP, GPU, and CPU, ensuring maximum performance and efficiency. The work scope includes but not limit to: Development and bug fix in Qualcomm Neural network SDK (QNN/AI Engine Direct SDK). Neural network operator development, with Hexagon DSP or SIMD accelerator. Performance and accuracy tuning and optimizations with Qualcomm AI Engine Direct SDK. Algorithms prototype design and implementation for user defined operators. Practices on quantization aware training and post-training quantization. Co-work with our global team on new feature design and implementation. Support testing team to improve the quality of our products. Support customer to deploy their neural networks with highest performance and accuracy. Minimum Qualifications: 2-3 years C/C++ programming experience on Linux or other embedded system. Excellent communication skills (verbal, presentation, written). Ability to collaborate across a globally diverse team, have a good sense of responsibility and teamwork. Experienced with Python programming. Have the concept of SDK development for variant system platforms. Familiar with ARM architecture. Preferred Qualifications: Familiar with popular quantization framework is a plus: ONNX QDQ, Pytorch, TensorFlow, PPQ, TensorRT. Enthusiasm in machine learning technology. Hand-on experience in design/implementation of deep learning networks via modern frameworks. Excellent software design, problem solving, debugging, documentation and presentation skills and proved experiences. Development on deep learning inference framework relevant practical experience is a plus, such as QNN, TfLite, NCNN, TNN, MACE, etc. Familiar with fixed-point quantitative algorithms and implementation. Familiar with popular deep learning frameworks: TensorFlow, Pytorch, ONNX, etc. Familiar with parallel programing, such as OpenCL, NEON, OpenMP, Cuda, etc. DSP software development and algorithm implementation, familiar with Hexagon/HVX is a big plus. Having quantization experience on TensorFlow or Pytorch is a plus. Experienced with LLM/LVM or ASR/NLP related models is a plus. Minimum Qualifications: • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. • 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. 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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Responsibilities

The role involves developing and optimizing neural network applications for Qualcomm's hardware acceleration platforms. You will also collaborate with a global team on feature design and support testing and customer deployment.