Who We Are
Advanced Packaging and Technology ManufacturingGroup, wedevelop 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 ofcutting-edgesemiconductor technologies. Weoperatein a fast-paced, research-driven environment where innovation, collaboration, and technical excellence are critical to success.

In this role, we are looking fora strong teamplayer 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/MLtechniquesend-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.

BehavioralTraits

• 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.​
• Ability to collaborate cross-functionally, contribute to technical design discussions, and deliver high-quality, maintainable software solutions.

The Minimum qualifications arerequiredto be initially considered for this positionMinimum qualifications listed below would be obtained through a combination of industry relevant job experience, internship experience and / or schoolwork/classes/research. The preferred qualifications are in addition to theminimumrequirements and are considered a plus factor inidentifyingtop candidates.

Minimum Qualifications:

• U.S. Citizenshiprequired.
• Ability toobtainaUS Government TS/SCI Security Clearance with Polygraph.
• Bachelor's degree in computer science,ComputerEngineering/Artificial Intelligence,MachineLearningor in a related field.
• 1+ years of experiencedesigning, deploying, andmaintainingscalable, reliable AI/ML production systems.
• 1+ years of experience withStrong programming skills inone of the following: (C++ (preferred),Python, C# with solid foundations in data structures, algorithms, and software engineering principles).

Preferred Qualifications

• MatersinComputerScience,ComputerEngineering/Artificial Intelligence,Machine Learning or in a related field.
• Experience with EDA tools.
• End-to-end experience with generative AI and LLM-based solutions, includingone or more of the following:prompt engineering, embeddings, vector databases, semantic search, and RAG workflows.
• 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 asPyTorch, TensorFlow, or Scikit-learn.
• Experience deploying AI/ML services using Docker, Kubernetes, cloud platforms, REST/gRPCAPIs, or serverless architectures.
• Strong 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, 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.