Engineer, Staff - IEIOT AI Systems

Qualcomm; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

A leading technology firm located in Karnataka, Bengaluru, seeks passionate engineers for their AI deployment team. This role involves optimizing and developing machine learning and deep learning algorithms for advanced AI use cases, working with Snapdragon chipsets. Candidates should have a Bachelor's degree in a related field along with years of relevant experience. Familiarity with AI frameworks like TensorFlow and Pytorch is critical, as is a strong understanding of system architecture.

Qualifications

• Bachelor's degree in a relevant field with 4+ years experience in Systems Engineering, or related.
• Good understanding and hands-on experience with AI Model Quantization and optimizations.
• Proficiency in Data Modeling and embedded systems programming.

Responsibilities

• Analysis and optimization of AI/ML models on Hexagon NPU.
• Development of AI inference frameworks for NPU and DSP architectures.
• Implementation and optimization of deep learning operators.

Skills

Machine Learning

Deep Learning

TensorFlow

Pytorch

Natural Language Processing

Education

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field

Master's degree in Engineering, Information Systems, Computer Science, or related field

Tools

TensorFlow

Pytorch

ONNX

High-performance embedded programming

Job description

Company:

Qualcomm India Private Limited

Job Area:

Engineering Group, Engineering Group > Systems Engineering

General Summary:

Qualcomm IE-IOT AI team is looking for hands on , passionate engineers for cutting edge AI deployment. Snapdragon chipset utilizes its powerful micro-processor, GPU, NPU and DSP to provide state-of-art platforms that enables advanced AI use cases. From state of art LLMs, to small CV based AI network or Robotic VLAs this group takes care of variety of AI model deployment and optimization.

The candidate will be responsible for evaluating, developing, and optimizing cutting edge machine learning and deep learning algorithms, and IoT Gen AI and Vision AI enabled use cases on device.

Minimum Qualifications (Systems Engineering):

• 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.

Minimum Qualifications (Software Engineering):

• 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.

Responsibilities:

• 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
• Good understanding and hands‑on experience with AI Model Quantization, Graph Optimizations, Graph Transformations

PREFERRED QUALIFICATIONS:

• Bachelor's degree or equivalent in Engineering, Information Systems, Computer Science, or related field.
• 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 preferred
• Hands‑on knowledge of TensorFlow, TFLite, Pytorch, ONNX
• Proficiency in Machine Learning and Data Modeling, especially image/video related data
• Proficiency in Natural Language Processing is a plus
• Knowledge and experience of embedded systems with assembly/C/C++ programming
• Good understanding of system on chip micro-architecture

Additional Information:

Applicants: 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 [e-mail] 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).

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