Software Engineer, AI Engineer (Applied​/Software), Machine Learning​/ ML Engineer

Job Overview

Advanced Packaging and Technology Manufacturing Group at Intel is developing software tools that incorporate AI/ML to support advanced packaging and silicon enablement. This role focuses on designing, building, and deploying AI/ML-enabled software tools to improve engineering workflows, productivity, and innovation.

Location:

Phoenix, AZ, USA.

• Design, develop, and enhance software tools and automation solutions for 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 such as data‑driven automation, predictive capabilities, and workflow optimization into software systems.
• Collaborate closely with engineering, research, and product teams to understand requirements and translate them into scalable technical solutions.
• Contribute to 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.

• 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 a related field.
• 1+ years of experience designing, deploying, and maintaining scalable, reliable AI/ML production systems.
• Strong programming skills in C++, Python, or C# with solid foundations in data structures, algorithms, and software engineering principles.
• Experience with EDA tools, large‑scale datasets, data pipelines, or big data/streaming technologies such as Spark, Databricks, or Kafka.
• Hands‑on experience building scalable applications, backend services, APIs, or distributed systems, including integration of ML models into software.
• Experience with model training, evaluation, inference, and frameworks such as PyTorch, Tensor Flow, 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.
• Familiarity with databases, version control, testing, CI/CD, and cloud‑native development practices.

• Master’s degree in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, or a related field.
• Experience with generative AI and LLM‑based solutions (prompt engineering, embeddings, vector databases, semantic search, or RAG workflows).
• Additional experience in cloud‑native architecture, edge computing, or regulatory compliance for AI.

All qualified applicants will receive consideration for employment without regard to race, color, religion, nationality, sex, gender identity, sexual orientation, disability, age, or any other characteristic protected by law. This position is not a position of trust or confidence.