AI SDK Software Engineer

4 Months ago • 3-6 Years

Research Development

Job Description

As a member of the engineering team at Qualcomm China, you will focus on automotive infotainment and ADAS platforms, driving the development of embedded deep learning solutions. You will work with neural network frameworks such as PyTorch and ONNX, optimizing applications for Qualcomm’s next-generation hardware acceleration cores. Responsibilities include feature development, bug fixes, neural network operator development, performance optimization, and algorithm prototyping. The role involves collaboration with different regional teams and supporting customers in deploying neural networks. Furthermore, you will be responsible for optimizing these applications for Qualcomm’s next-generation hardware acceleration cores (DSP/GPU/CPU).

Good To Have:

Enthusiasm in machine learning technology and experience in 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

Must Have:

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

Add these skills to join the top 1% applicants for this job

team-management

communication

problem-solving

cpp

game-texts

cuda

opencl

prototyping

linux

pytorch

deep-learning

neural-networks

python

algorithms

tensorflow

java

machine-learning

Company:

Qualcomm China

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.

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