Software Engineer

Intel Corporation

Software Engineer developing software automation and engineering tools infused with AI/ML technologies at Intel. Collaborating with engineering teams to enhance productivity and innovation in semiconductor technologies.

Posted 6/23/2026full-timePhoenix • Arizona, Oregon • 🇺🇸 United StatesJunior💰 $111,030 - $156,740 per yearWebsite

Tech Stack

Tools & technologies

CloudDistributed SystemsDockerGRPCJavaKafkaKubernetesNoSQLPythonPyTorchScikit-LearnSparkSQLTensorflow

About the role

Key responsibilities & impact

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

What you’ll need

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
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

Benefits

Comp & perks

competitive pay
stock bonuses
health
retirement
vacation

ATS Keywords

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Hard Skills & Tools

AI/MLPythonC++Javadata structuresalgorithmssoftware engineering principlesmachine learning systemsmodel trainingmodel evaluation

Soft Skills

collaborationproblem-solvingcommunicationdesign discussionsiterative refinementscalable solutionsworkflow optimizationdecision supportengineering productivitycross-functional teamwork

Certifications

Master’s degree in AI/MLMaster’s degree in Data ScienceMaster’s degree in Computer ScienceMaster’s degree in Software EngineeringMaster’s degree in Electrical Engineering