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About This Role
- 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.
Requirements
- 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.
Requirements
- 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.
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.
Sourced directly from Intel’s career page
Your application goes straight to Intel.
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Specialisation
Open roles at Intel
626 positions
Job ID
/job/US-Arizona-Phoenix/Software-Engineer_JR0285009
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