Machine Learning & Generative AI Engineer, up to Staff at Qualcomm – Hsinchu City | Jobyssey

Company:

Qualcomm Semiconductor Limited

Job Area:

Engineering Group, Engineering Group > Hardware Engineering

General Summary:

Job Overview:

Are you passionate about applying Machine Learning and Generative AI to solve complex real-world engineering problems?

Join Qualcomm's PDTE (Product Development and Test Engineering) Machine Learning Team and help build production-grade AI solutions that improve engineering productivity, manufacturing efficiency, product quality, and test optimization.

We are looking for experienced engineers who can independently drive AI projects from data exploration through model deployment, while contributing to next-generation AI agent and GenAI solutions.

You will work on:

Large Language Models (LLMs)
AI Agents and Agentic Workflows
Retrieval-Augmented Generation (RAG)
Production Machine Learning Systems
AI Copilots for Engineering
Predictive Analytics and Optimization
AI-powered Automation Platforms

Responsibilities:

Design, develop, and deploy production-grade machine learning solutions

Analyze large-scale engineering datasets and identify opportunities for AI-driven improvements
Select appropriate machine learning algorithms and modeling approaches for business problems
Develop and train machine learning models for prediction, anomaly detection, classification, optimization, and decision support
Evaluate and benchmark machine learning and GenAI solutions using quantitative metrics
Build and maintain AI-powered applications using modern LLM technologies
Design and implement AI agents and agentic workflows that automate engineering processes
Build scalable Python-based software services, APIs, and automation tools
Collaborate with engineering teams to understand requirements and translate them into technical solutions
Independently drive projects from concept to production deployment
Mentor junior engineers and share technical best practices
Stay current with emerging AI technologies and contribute to technical innovation initiatives

Minimum Qualifications:

Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Software Engineering, Artificial Intelligence, Electrical Engineering, or a related field
5+ years of industry experience in Machine Learning, Artificial Intelligence, Data Science, or Software Engineering
Strong programming skills in Python
Proven experience developing and deploying machine learning models to production environments
Strong understanding of:
- Machine Learning algorithms
- Feature engineering
- Model evaluation and validation
- Statistics and data analysis
- Software engineering fundamentals
Hands-on experience with:
- PyTorch, TensorFlow, or Scikit-Learn
- Git-based development workflows
- Large-scale data analysis
Experience developing GenAI applications using LLMs
Fluent in English (verbal and written)

Preferred Qualifications:

Experience designing and implementing AI Agent frameworks (single-agent and multi-agent)
Experience with prompt engineering, RAG systems, and knowledge retrieval platforms
Experience deploying machine learning inference services to production systems
Experience with ML model monitoring and lifecycle management
Experience with cloud platforms such as AWS
Experience building APIs, microservices, or data processing pipelines
Experience working with semiconductor manufacturing, product engineering, test engineering, or fab data
Experience deploying machine learning inference systems within automatic test equipment (ATE) is highly desirable
Experience solving yield analysis, anomaly detection, root cause analysis, or process optimization problems

Minimum Qualifications:

• Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field.

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 [email protected] 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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