Staff Engineer - AISW

Qualcomm · Bengaluru

  • Experience7+ yrs
  • SalaryNot disclosed
  • Work modeunknown
  • Levellead
  • Posted19 Sept 2026

About Qualcomm

Qualcomm is hiring in Bengaluru in semiconductors electronics. This role looks for around 7+ years of experience.

The role

Staff Engineer / Senior Lead Engineer role at a semiconductor and AI hardware platform company (Qualcomm) focusing on on-device AI/ML using Qualcomm chips' heterogeneous computing. Lead the design, development, and implementation of AI/ML solutions, mentor engineers, and optimize AI model performance and accuracy including quantization and calibration. Requirements include SW architecture and programming in C++ and Python, data structures and algorithms, PyTorch, TensorFlow, ONNX, ONNX Runtime, TVM or Glow (plus), quantization (8-bit/4-bit) and calibration algorithms, and machine learning compiler and graph optimization. Location: Bengaluru, Karnataka, India (work mode not specified).

Full job description

Company:

Qualcomm India Private Limited

Job Area:

Engineering Group, Engineering Group > Software Engineering

General Summary:

Qualcomm is 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. Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards.

The AI SW team at Qualcomm is focused on advancing state-of-the-art in Artificial Intelligence across various business segments, including Mobile, AR & VR Technology, IoT, and Auto ADAS. The AISW stack leverages Qualcomm chips' extensive heterogeneous computing capabilities, enabling the running of trained neural networks on devices without needing a cloud connection. This allows neural network models trained in various frameworks on Snapdragon platforms to run at blazing speeds while consuming minimal power. As a Senior Lead Engineer, you will see your work directly impact billions of devices worldwide.

Key Responsibilities:

Lead the design, development, and implementation of AI/ML solutions across multiple domains.Collaborate with cross-functional teams to ensure seamless integration of AI/ML components within the broader framework.Mentor and coach junior engineers, providing development experiences and networking opportunities.Address and resolve issues related to AI models optimizations, ensuring high performance and accuracy of AI models.Conduct research on industry trends and innovations in AI/ML to adopt best practices in solutions and deliverables.Develop and optimize quantization techniques for AI/ML models, ensuring efficient execution on Qualcomm hardwareManage project timelines, objectives, and goals, ensuring efficient use of resources across functional areas.

Minimum Qualifications:

Bachelor's degree in Engineering, Computer science or a related field and 4+ years of experience of Software engineering or related work experience

OR

Master’s degree in Engineering, Computer science or a related field and 3+ years of experience of Software engineering or related work experience

Experience with SW architecture and programming languages.Experience with tools and frameworks such as PyTorch, TensorFlow, ONNX, and others.

Preferred Qualifications:

Excellent development skills in C++ / PythonProficient in Data structures and algorithmsHands on expertise in deep learning frameworks such as ONNX, PyTorchIn depth knowledge of state-of-the-art CV, NLP, LLM, GenAI, Classification and Object detection model architecturesGood understanding of Quantization (8-bit, 4-bit) and Calibration algorithmsGood understanding of machine learning compiler techniques and graphs optimizationsGood understanding of SW design patterns and design philosophies (SOLID principles, design patterns)Excellent analytical, development, and debugging skillsKnowledge of machine learning compilers (TVM, Glow) is a plusKnowledge of machine learning runtimes like ONNX Runtime and TF runtimes is a plus

Experience - 7+ yrs

Minimum Qualifications:

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.

OR

Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.

OR

PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.

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

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 disability-accomodations@qualcomm.com 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).

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.