Internship Dynamic Infusion Jobs (NOW HIRING)

Job Details:
Job Description:
At Advanced Packaging and Technology Manufacturing Group, we build software tools and technologies that help shape the future of foundry and Intel products Our work in advanced packaging and silicon enablement supports engineering teams in staying at the forefront of cutting-edge semiconductor technologies. We operate in a fast-paced, research-driven environment where innovation, collaboration, and technical excellence are critical to success.
In this role, we are looking for a strong team player who can help redefine and shape the next generation of software automation and engineering tools through the end-to-end infusion of AI/ML technologies.
The ideal candidate will contribute to building intelligent, scalable, and efficient software solutions that accelerate engineering workflows, improve productivity, and support innovation across advanced packaging and silicon development initiatives. This role requires someone who is comfortable working in a dynamic environment, partnering with technical teams, and applying AI/ML across the full software development lifecycle.
Key Responsibilities

• Design, develop, and enhance software tools and automation solutions that support engineering workflows in advanced packaging and silicon enablement.
• Apply AI/ML techniques end-to-end to improve tool capability, automation, decision support, and workflow efficiency.
• Build and integrate intelligent features into software systems, including data-driven automation, predictive capabilities, and workflow optimization.
• Collaborate closely with engineering, research, and product teams to understand requirements and translate them into scalable technical solutions.
• Contribute to the architecture, design, implementation, testing, and deployment of AI/ML-enabled software tools.
• Develop robust, maintainable, and production-quality code in a fast-paced development environment.
• Evaluate new AI/ML technologies, frameworks, and approaches to drive innovation in engineering productivity and automation.
• Support experimentation, prototyping, and iterative refinement of new solutions in a research-focused setting.
• Ensure software solutions are reliable, scalable, and aligned with engineering and business goals.
• Participate in code reviews, design discussions, and cross-functional technical problem-solving.

Behavioral traits

• Work effectively in a fast-paced, research-driven environment with evolving requirements.
• Problem-solving, analytical thinking, and communication skills.
• Work independently as well as collaboratively within a multidisciplinary team.

Qualifications:
Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Knowledge and/or experience listed below would be obtained through a combination of your school/work and/or classes and/or research and/or relevant previous job and/or internship experiences.
Minimum Qualifications:

• Master's degree in AI/ML, Data Science/ Computer science, Software Engineering, Electrical Engineering.
• 6 months of experience in:
  • Software development skills with experience in building engineering applications, automation tools, or enterprise software solutions.
  • Hands-on experience with AI/ML technologies and their practical application in software systems.
  • Programming languages such as Python, C++, Java, or similar.
  • Software design, development, testing, and debugging in a collaborative environment.

Preferred Qualifications

• Hands on experience designing, deploying, and maintaining scalable, reliable AI/ML production systems.
• End-to-end experience with generative AI and LLM-based solutions, including prompt engineering, embeddings, vector databases, semantic search, and RAG workflows.
• Foundations in data structures, algorithms, and software engineering principles.
• Hands-on experience building scalable applications, backend services, APIs, or distributed systems, including integration of ML models into software.
• Experience with machine learning systems, including model training, evaluation, inference, and use of frameworks such as PyTorch, TensorFlow, or Scikit-learn.
• Experience deploying AI/ML services using Docker, Kubernetes, cloud platforms, REST/gRPC APIs, or serverless architectures.
• Familiarity with MLOps/LLMOps practices, including model versioning, experiment tracking, monitoring, and performance evaluation.
• Understanding of system design, distributed computing, performance optimization, security, privacy, and responsible AI principles.
• Experience working with large-scale datasets, data pipelines, or big data/streaming technologies such as Spark, Databricks, or Kafka.
• Familiarity with databases (SQL/NoSQL), version control, testing, CI/CD, and cloud-native development practices.

Join Intel and contribute to shaping the future of technology. Be a part of a dynamic team committed to delivering innovative solutions that address the needs of a rapidly evolving world. Apply today to take the next step in your career.
Job Type:
College Grad
Shift:
Shift 1 (United States of America)
Primary Location:
US, Arizona, Phoenix
Additional Locations:
US, Oregon, Hillsboro
Business group:
Intel Foundry strives to make every facet of semiconductor manufacturing state-of-the-art while delighting our customers -- from delivering cutting-edge silicon process and packaging technology leadership for the AI era, enabling our customers to design leadership products, global manufacturing scale and supply chain, through the continuous yield improvements to advanced packaging all the way to final test and assembly. We ensure our foundry customers' products receive our utmost focus in terms of service, technology enablement and capacity commitments. Employees in the Foundry Technology Manufacturing are part of a worldwide factory network that designs, develops, manufactures, and assembly/test packages the compute devices to improve the lives of every person on Earth.
Posting Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Position of Trust
N/A
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $111,030.00-156,740.00 USD
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
Work Model for this Role
This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.