Qualcomm Engineer - AI/ML Tools Performance Tuning 

India, Karnataka, Bengaluru 

802449414

Job Area:

Engineering Group, Engineering Group > Software Engineering

Job Overview:

• Bachelor's degree in Electronics/Communication Engineering, Information Systems, Computer Science, or related field.

• 0-2 years’ development experience with C/C++ Embedded Linux/Windows software and good programming skills.

• Good understanding of AI/ML concepts.

• Responsible for seamless enablement of Windows AI/ML platform on Qualcomm Snapdragon through Neural Processing Engine/AI software stack. This includes AI model optimization using model conversion, optimization, online/offline graph creation, and backend processing for best performance on CPU/GPU/NPU using Qualcomm Neural Network.

• Explore and iterate on finding optimal tiling and data movement strategies for the latest AI models, including generative AI and new models.

• Good hands-on experience with troubleshooting software and system issues.

• Strong aptitude, quick learner, self-motivated, willing to explore and work across breadth of various technology areas.

Preferred Qualifications

• In-depth knowledge of AI/ML concepts and techniques

• Familiarity with implementation of key ML operations like CONV, EINSUM and non-linear operators with focus on power, performance and memory optimization, enablement of generative AI and new models on NPU backend

• Good understanding of AI frameworks ONNX, Pytorch and TF

• Experience with AI/ML inference stacks such as ONNXRuntime, TFlite etc.

• Experience with GPU/NPU backend acceleration

Minimum Qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

PhD in Computer Science, Engineering, Information Systems, or related field.

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.