AI SDK Software Engineer

Company:

Job Area:

Engineering Group, Engineering Group > Software Engineering

General Summary:

Job overview:

As part of the engineering team at Qualcomm China, focusing on automotive infotainment and ADAS platforms, we are seeking talented engineers with experience in machine learning to drive the development of embedded deep learning solutions.

Our mission is to combine high-performance software with cutting-edge hardware to execute deep neural networks rapidly, thereby enhancing the driving experience in the most efficient manner possible on the powerful Snapdragon chipset integrated within vehicles.

In this role, you will engage with neural network frameworks such as PyTorch and ONNX, contributing to the extension of our neural network engine to support the latest state-of-the-art deep neural networks emerging from both the research community and industry. You will also be responsible for optimizing these applications for Qualcomm’s next-generation hardware acceleration cores (DSP/GPU/CPU).

The work scope includes but not limit to:

• Feature 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 optimizations and accuracy tuning for models with QC AI Toolchains.
• Algorithms prototype design and implementation for standard and user-defined operators.
• Practices on quantization aware training and post-training quantization.
• Co-work with different regional teams about new feature design and implementation.
• Support our testing team to improve the quality of our AI Toolchains.
• Support our customers to deploy their neural networks in an efficient way.

Minimum Qualifications:

• 3+ years C/C++ programming experience on Linux or other embedded system.
• Experienced with Python programming and understanding AI concepts.
• Excellent communication skills (verbal, presentation, written).
• Ability to collaborate across a globally diverse team, have a good sense of responsibility and teamwork.
• Have the concept of SDK development for variant system platforms.
• Familiar with ARM architecture.

Preferred Qualifications:

• Enthusiasm in machine learning technology, and hand-on experience in design/implementation of deep learning networks via modern frameworks.
• Familiar with popular quantization framework is a plus: ONNX QDQ, Pytorch, TensorFlow, PPQ, TensorRT.
• Experienced with model accuracy analysis and problem solving, debugging.
• Excellent software design, problem solving, debugging, documentation and presentation skills and proved experience.
• Development on deep learning inference framework relevant practical experience is a plus, such as QNN, TfLite, NCNN, TNN, MACE, etc.
• 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.
• Experienced with ADAS, LLM/LVM or ASR/NLP related models’ deployment is a plus.

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Software Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.

• 3+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

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.