Machine Learning Software Engineer

1 Day ago • 2 Years +

Research Development

Job Description

We are seeking a Machine Learning Software Engineer to lead the enablement and integration of AI/ML models on Qualcomm’s hardware and software infrastructure. This role involves ensuring seamless deployment, compatibility, and performance optimization, working with ML frameworks like PyTorch, and extending Qualcomm AI software platform. Key responsibilities include end-to-end onboarding of AI/ML models, collaborating with cross-functional teams, optimizing model performance, and developing documentation.

Good To Have:

Good Python/C++ skills with excellent analytical and debugging capabilities.
Solid understanding of machine learning technology and model deployment.
Experience with LVM, LLM, LMM, and Transformer-based architectures.
Hand-on experience in design/implementation of deep learning networks via PyTorch.
Background in algorithm development and C/C++ software engineering.
Knowledge of model optimization techniques for performance and accuracy.
5+ years of industry experience in machine learning, multimedia, robotics, or AI.
Hands-on experience with neural networks and practical AI/ML methods.

Must Have:

Lead the end-to-end onboarding of AI/ML models onto the Qualcomm platform—from initial integration to production deployment.
Collaborate with cross-functional teams to validate model requirements, dependencies, and platform compatibility.
Optimize model performance, accuracy, and resource efficiency for scalable deployment.
Develop and maintain onboarding documentation, best practices, and troubleshooting guides.
Provide technical support to internal teams and external partners throughout the model enablement lifecycle.
Master’s degree in Computer Science, Engineering, or a related field.
Proven experience in AI/ML model deployment and integration.
Proficiency with model frameworks such as PyTorch, TensorFlow, and ONNX.
Familiarity with containerization tools like Docker.
Strong problem-solving and and debugging skills.
Excellent communication and collaboration abilities.
Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.

Perks:

Qualcomm offers a world-class health benefit option providing world-class coverage to employees and their eligible dependents.
Our programs are designed to help employees build and prepare for a financially secure future.
Our self and family resources help you build emotional/mental strength and resilience, as well as define your purpose — in life and at work.
Qualcomm’s wellbeing programs and resources offer support to help employees Live+Well and Work+Well, so they can unlock their full potential at home, at work, and everywhere between.

Add these skills to join the top 1% applicants for this job

cross-functional

communication

problem-solving

cpp

talent-acquisition

game-texts

model-deployment

pytorch

deep-learning

docker

neural-networks

python

tensorflow

java

machine-learning

Job Posting Date

2025-09-19

Job Area:

Engineering Group, Engineering Group > Software Engineering

General Summary:

Job Overview

We are seeking a Machine Learning Software Engineer to lead the enablement and integration of AI/ML models on top of Qualcomm’s hardware and software infrastructure, ensuring seamless deployment, compatibility, and performance optimization. You will work with ML frameworks like PyTorch, extend Qualcomm AI software platform and AI Model Efficiency Toolkit to support the latest and greatest ML models, including Gen AI models. This role involves close collaboration with cross-functional teams to drive model onboarding and deliver high-quality, scalable solutions.

Key Responsibilities

Lead the end-to-end onboarding of AI/ML models onto the Qualcomm platform—from initial integration to production deployment.
Collaborate with cross-functional teams to validate model requirements, dependencies, and platform compatibility.
Optimize model performance, accuracy, and resource efficiency for scalable deployment.
Develop and maintain onboarding documentation, best practices, and troubleshooting guides.
Provide technical support to internal teams and external partners throughout the model enablement lifecycle.

Required Qualifications

Master’s degree in Computer Science, Engineering, or a related field.
Proven experience in AI/ML model deployment and integration.
Proficiency with model frameworks such as PyTorch, TensorFlow, and ONNX.
Familiarity with containerization tools like Docker.
Strong problem-solving and debugging skills.
Excellent communication and collaboration abilities.

Preferred Skills

Good Python/C++ skills with excellent analytical and debugging capabilities.
Solid understanding of machine learning technology and model deployment.
Experience with LVM, LLM, LMM, and Transformer-based architectures.
Hand-on experience in design/implementation of deep learning networks via PyTorch.
Background in algorithm development and C/C++ software engineering.
Knowledge of model optimization techniques for performance and accuracy.
5+ years of industry experience in machine learning, multimedia, robotics, or AI.
Hands-on experience with neural networks and practical AI/ML methods.

Education Requirements

Required: Bachelor, Computer Engineering and/or Computer Science and/or Electrical Engineering

Preferred: Master or PhD, Computer Engineering and/or Computer Science and/or Electrical Engineering

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.

Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.

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.

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.

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