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About the Role

We are seeking a strong team player to 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.

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.

Requirements

U.S. Citizenship required.
Ability to obtain a US Government TS/SCI Security Clearance with Polygraph.
Bachelor's degree in computer science, Computer Engineering/Artificial Intelligence, Machine Learning or in a related field.
1+ years of experience designing, deploying, and maintaining scalable, reliable AI/ML production systems.
1+ years of experience with Strong programming skills in one of the following: (C++ (preferred), Python, C# with solid foundations in data structures, algorithms, and software engineering principles).
Masters in Computer Science, Computer Engineering/Artificial Intelligence, Machine Learning or in a related field.
Experience with EDA tools.
End-to-end experience with generative AI and LLM-based solutions, including one 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 as PyTorch, TensorFlow, or Scikit-learn.
Experience deploying AI/ML services using Docker, Kubernetes, cloud platforms, REST/gRPC APIs, 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.

Skills

AI/ML
Software automation
Engineering tools
Scalable software solutions
C++
Python
C#
Data structures
Algorithms
Software engineering principles
Generative AI
LLM-based solutions
Prompt engineering
Embeddings
Vector databases
Semantic search
RAG workflows
Scalable applications
Backend services
APIs
Distributed systems
ML model integration
PyTorch
TensorFlow
Scikit-learn
Docker
Kubernetes
Cloud platforms
REST/gRPC APIs
Serverless architectures
System design
Distributed computing
Performance optimization
Security
Privacy
Responsible AI principles
Large-scale datasets
Data pipelines
Big data/streaming technologies
Spark
Databricks
Kafka
Databases
Version control
Testing
CI/CD
Cloud-native development practices

Location

US, Arizona, Phoenix
US, Oregon, Hillsboro

Work Type

Hybrid
College Grad
Shift 1

Experience Level

1+ years of experience designing, deploying, and maintaining scalable, reliable AI/ML production systems.
1+ years of experience with Strong programming skills in one of the following: (C++ (preferred), Python, C# with solid foundations in data structures, algorithms, and software engineering principles).
College Grad

Education Level

Bachelor's degree in computer science, Computer Engineering/Artificial Intelligence, Machine Learning or in a related field.
Masters in Computer Science, Computer Engineering/Artificial Intelligence, Machine Learning or in a related field.

Salary/Compensations

$95,640.00-181,940.00 USD

Benefits

Competitive pay
Stock bonuses
Health benefits
Retirement benefits
Vacation benefits

About the Company

Advanced Packaging and Technology Manufacturing Group, we develop 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.
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.
Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices.

Equal Opportunity

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.