Company
Qualcomm India Private Limited
Job Area
Engineering Group, Engineering Group > Software Engineering
General Summary
We are seeking highly motivated candidates with strong software development expertise and hands-on experience in Artificial Intelligence and Machine Learning. In this role, you will be part of a team responsible for advancing the performance optimization tools and workflows that enable state-of-the-art AI and machine learning solutions on the Snapdragon platform.
You will drive technical initiatives to evaluate, benchmark, and continuously improve AI optimization workflows, creating reference implementations and best practices for Windows on Snapdragon application developers. You will contribute to enhancements across the software stack, including SDKs, tools, and documentation, directly improving developer productivity and enabling optimal application performance on Snapdragon platforms.
You will work closely with software and hardware architects, development leads, customer engineering teams, and application developers to deliver industry-leading AI experiences.
Responsibilities
- Enable AI application development on Windows on Snapdragon through the Snapdragon software stack.
- Drive the adoption of Windows AI platforms by reducing barriers to entry for application developers and resolving complex customer issues.
- Collaborate with cross-functional and global teams to develop best-in-class, high-performance AI solutions that can be leveraged by third-party Windows application developers.
- Analyze emerging trends in machine learning, generative AI, and large language models through developer engagements and academic research.
- Perform competitive benchmarking of AI tools, workflows, and state-of-the-art models across industry-leading platforms.
- Drive continuous improvements in AI model performance, efficiency, and accuracy on Windows on Snapdragon platforms.
- Develop reference workflows and optimization methodologies to help developers maximize the capabilities of Snapdragon CPUs, GPUs, and NPUs.
Skills And Experience
- 3-5 years of experience in AI/ML application development.
- Hands-on experience optimizing AI models for performance, power, and accuracy on hardware accelerators such as CPUs, GPUs, and NPUs.
- Experience architecting, designing, and implementing software frameworks for complex heterogeneous or multi-processor systems. Familiarity with open-source AI inference frameworks such as llama.cpp is a plus.
- Strong understanding of modern machine learning architectures, including CNNs, RNNs, Transformers, and ensemble methods.
- Proficiency with AI frameworks and tooling such as PyTorch, TensorFlow, ONNX Runtime, and MLIR.
- Experience with transformer-based models such as BERT, GPT, T5, and Llama. Experience developing, optimizing, or deploying large language models (LLMs) or foundation models is a strong plus.
- Good understanding of the end-to-end AI software stack, including model development, optimization, deployment, and hardware acceleration technologies.
- Experience building AI and LLM-powered applications on Windows using CPU, GPU, and NPU acceleration. Familiarity with embedding models, sentence transformers, retrieval pipelines, and production AI workflows is preferred.
- Strong programming skills in C, C++, and Python.
- Experience using processor-specific optimization tools, libraries, and profiling technologies to improve AI performance on CPUs, GPUs, and NPUs is a plus.
- Excellent written and verbal communication skills.
- Demonstrated ability to learn quickly, think critically, and adapt in a fast-paced and rapidly evolving technology environment.
Minimum Qualifications
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field.
- 2+ years of academic or 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.
