Company:

Qualcomm India Private Limited:

Job Area:

Engineering Group, Engineering Group > Systems Engineering

General Summary:

Looking for “ML framework and AI compiler Engineer” responsible for

• Designing, implementing, and deploying machine learning models using Py Torch
• Focusing on backend infrastructure and system architecture.
• Responsibilities often include developing framework, integrating with other AI tools, and ensuring scalability and reliability.

Here's a more detailed breakdown of what you might see in such a job description:

Key Responsibilities:

• Model Development and Deployment: Designing, building, and deploying AI models, particularly those leveraging Py Torch for deep learning.
• Backend Infrastructure: Developing and maintaining the backend systems that power AI applications, including data ingestion, processing, and storage.
• System Architecture: Designing scalable and high-performance backend architectures to handle AI workloads.
• Model Optimization: Optimizing model performance for speed, accuracy, and resource efficiency.
• Integration: Integrating AI models with other systems and applications.
• API Development: Creating and maintaining APIs for communication between frontend and backend components.
• Data Handling: Managing data ingestion, preprocessing, and storage for AI training and inference.
• Collaboration: Working with data scientists, product managers, and other engineers to bring AI solutions to life.

Tools, Technologies, Skills and Programming:

• C, C++: Strong programming capability using advanced techniques to design and develop AI compilers and backends.
• Scripting: Strong expertise in Python with design, develop, release and maintain projects.
• AI Frameworks: Familiarity with other AI frameworks like Py Torch, Tensor Flow, Hugging Face, etc.
• Machine Learning Knowledge: Understanding of machine learning principles and algorithms starting Computer vision to large language models and continuously update to new trends.
• Expertise to deep learning accelerator programming (GPU, NPU). Any parallel programming experience (Like CUDA, OpenCL, MKLDNN ..etc) is a plus.
• Experience with deep leaning compilers like Glow, TVM …etc is a plus.

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. OR
  Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
  OR
  PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.

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.