Job Area:Engineering Group, Engineering Group > Machine Learning Engineering
General Summary:In this position you will be responsible for 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 participate in the agentic transformation of Qualcomm's development and tooling workflow. You will have the opportunity to show your passion for software design and development with your analytical, design, programming, and debugging skills.
Minimum Qualifications:• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field.
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.
- Contribute to the team's adoption of agentic AI workflows - leveraging tools such as Claude Code, or similar frameworks - to automate quantization experimentation, hyperparameter search, and model evaluation pipelines.
- Participate in design and code reviews.
- Work independently and lead junior team members. Your decision-making will impact your direct area of work and the work group.
Minimum Qualifications- Bachelor's degree or equivalent in Engineering, Information Systems, Computer Science, or related field
- 4+ years software development experience using Python and/or C/C++
- Strong software development skills (e.g. data structure and algorithm design, object oriented or other software design paradigm knowledge, software debugging and testing, etc.)
- Strong communication skills (verbal, presentation, written)
- Solid understanding of Machine Learning and Deep Learning theory
- Experience working with one of the Deep Learning frameworks like PyTorch, Tensorflow, ONNX, JAX
Preferred Qualifications- 2+ years Python programming experience
- Experience / exposure to Quantization techniques - PTQ, QAT, AWQ, SpinQuant, etc.
- Familiarity with different NN architectures: DNNs, CNNs, RNNs/LSTMs, GANs, LLMs, etc.
- Experience with AIMET, TorchAO or other quantization-focused libraries in the PyTorch ecosystem
- Familiarity with GenAI model architectures and challenges working with them - LLM, LVM, LMM
- Experience with optimizing software, specifically AI graph workloads, for embedded platforms
- Familiarity with agentic AI frameworks (e.g. Claude Code) and experience applying them to automate experimentation or evaluation workflows
- Ability to collaborate across a globally diverse team and multiple interests
Education Requirements- Required: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
- Preferred: Master's in Computer Science or Computer Engineering
Pay range and Other Compensation & Benefits: $126,700.00 - $190,100.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.
