Machine Learning Engineer
About The Position
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drive digital transformation, creating a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will develop and implement cutting-edge machine learning techniques that enable the efficient utilization of state-of-the-art solutions across various technology verticals. In this position you will be responsible for contributing to the software design and development of quantization tooling within the AISW Tools team. Our inference engine empowers developers to deploy neural network models on Snapdragon platforms at exceptional speeds while maintaining minimal power consumption. You will have the opportunity to show your passion for software design and development with your analytical, design, programming, and debugging skills. You will participate in the agentic transformation of Qualcomm’s development and tooling workflow. All Qualcomm employees are expected to actively support diversity on their teams, and in the Company.
Requirements
- Bachelor's degree or equivalent in Engineering, Information Systems, Computer Science, or related field
- Strong programming skills in C++ and Python
- Solid understanding of Machine Learning and Deep Learning theory
- Proficiency in data structures, computer system architecture, and multi-threaded programming
- Familiarity with Linux environments
- Strong analytical and debugging skills
- Excellent communication skills (verbal, presentation, and written)
Nice To Haves
- Hands-on experience with DL frameworks: PyTorch, ONNX, etc.
- Experience or familiarity with quantization techniques – PTQ, QAT, AWQ, SpinQuant, etc.
- Experience or familiarity with Generative AI (GenAI) concepts and technologies
- Strong understanding of embedded systems and system design fundamentals
- Well versed in version control tools like git and build tools like cmake
- Awareness / exposure to agentic AI frameworks (e.g. Claude Code) and their application to development or testing automation
Responsibilities
- Collaborate with cross-functional teams in the AI Software team at Qualcomm to gain knowledge of the capabilities of QAIRT SDK and use it to optimize inference of AI models on Qualcomm AI accelerator IP.
- Validate and optimize the performance and accuracy of quantized models through detailed analysis and testing of machine learning use cases.
- Debug complex issues, perform root cause analysis, and ensure high system reliability.
- Participate in the team's adoption of agentic AI workflows — leveraging tools such as Claude Code, or similar frameworks — to help automate quantization experimentation and model evaluation pipelines.
- Participate in design and code reviews.
Benefits
- competitive annual discretionary bonus program
- opportunity for annual RSU grants
- highly competitive benefits package
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
