As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Systems Engineer, you will research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enables the development of cutting-edge technology.

Company: Qualcomm India Private Limited

Role: Engineer, Staff - IEIOT AI Systems

Location: Bangalore, Karnataka, India

Experience:

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
Bachelor's degree in Computer Science, Electrical Engineering, Electronic Engineering, or related field and 2+ years of Software Engineering or related work experience.
Master's degree in Computer Science, Electrical Engineering, Electronic Engineering, or related field and 1+ year of Software Engineering or related work experience.
PhD in Computer Science, Electrical Engineering, Electronic Engineering, or related field.

Key Skills:

AI Model Quantization
Graph Optimizations
Graph Transformations
TensorFlow
TFLite
Pytorch
ONNX
Machine Learning
Data Modeling
Natural Language Processing
embedded systems
assembly/C/C++ programming
system on chip micro-architecture

Qualification:

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field
Master's degree in Engineering, Information Systems, Computer Science, or related field
PhD in Engineering, Information Systems, Computer Science, or related field
Bachelor's degree in Computer Science, Electrical Engineering, Electronic Engineering, or related field
Master's degree in Computer Science, Electrical Engineering, Electronic Engineering, or related field

Role Focus:

Analysis and optimization of AI/ML models on various classes on Hexagon NPU
Development of AI inference frameworks and runtimes for Hexagon NPU and DSP architectures
Implementation and optimization of deep learning operators on SIMD/VLIW NPU or DSP architectures
Understand benefit/drawback of various quantization schemes, use internal tool chains to control loading, execution, and scheduling of various models
Perform system level analysis of concurrent ML model execution and daisy chaining ML models including Vision AI, Gen AI and VLA models

Nice to have:

6+ years Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
3+ years Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
Masters in Imaging/Color Engineering and/or Electrical Engineering, and/or related field
Prior experience with high performance embedded programming
Proficiency in Machine Learning and Data Modeling, especially image/video related data
Proficiency in Natural Language Processing

Other:

Qualcomm is an equal opportunity employer.
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.

Engineer, Staff - IEIOT AI Systems

Skills Required

Description