Sr Software Engineer, AI Tools – Quantizer

Qualcomm; Raleigh (NC); On-site; USD 126,700 - 190,100; Full time

Benefits offered by this job

Competitive benefits package

Job summary

Qualcomm is seeking a Machine Learning Engineer in Raleigh, North Carolina, to develop cutting-edge machine learning techniques and implement quantization tooling.

The ideal candidate will possess strong software development skills in Python and/or C/C++, and an understanding of Machine Learning theory. Responsibilities include collaborating in the AI software team and optimizing AI model inference on Snapdragon platforms.

Competitive salary range $126,700 – $190,100 with comprehensive benefits.

Qualifications

• Bachelor's or Master's in related field with relevant engineering experience.
• 4+ years software development experience particularly in Python or C/C++.
• Solid understanding of AI frameworks and quantization techniques.

Responsibilities

• Collaborate with AI teams to optimize inference of AI models.
• Validate and optimize performance and accuracy of models.
• Lead junior team members and participate in code reviews.

Skills

Software development experience using Python and/or C/C++

Strong communication skills

Understanding of Machine Learning and Deep Learning

Experience with Deep Learning frameworks such as PyTorch

Education

Bachelor's degree in Computer Science, Engineering, Information Systems

Master's degree in relevant field

Tools

PyTorch

TensorFlow

Job description

Company

Qualcomm Technologies, Inc.

Job Area

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary

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 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.

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 in Computer Science, Engineering, Information Systems, or related field and 2+ years of hardware, software, or systems engineering experience.
• Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of hardware, software, or systems engineering experience.
• PhD in Computer Science, Engineering, Information Systems, or related field.
• 4+ years software development experience using Python and/or C/C++.
• Strong software development skills (data structures and algorithm design, object‑oriented design paradigms, debugging, and testing).
• Strong communication skills (verbal, presentation, written).
• Solid understanding of Machine Learning and Deep Learning theory.
• Experience working with one of the Deep Learning frameworks such as PyTorch, TensorFlow, ONNX, or JAX.

Preferred Qualifications

• 2+ years Python programming experience.
• Experience or exposure to quantization techniques—PTQ, QAT, AWQ, SpinQuant, etc.
• Familiarity with different neural‑network architectures: DNNs, CNNs, RNNs/LSTMs, GANs, LLMs, etc.
• Experience with AIMET, TorchAO or other quantization‑focused libraries in the PyTorch ecosystem.
• Familiarity with Generative AI 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 & Other Compensation & Benefits

$126,700.00 – $190,100.00

In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play.

Equal Employment Opportunity

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. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Note: 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).

EEO Employer Statement

Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected classification.