Software Engineer
Who We Are
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 T raits
- 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 solution s.
Qualifications
Minimum Qualifications
- U.S. Citizenship required.
- Ability to obtain a US Government TS/SCI Security Clearance with Polygraph.
- Bachelor's degree in computer science, C omputer E ngineering/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).
Preferred Qualifications
- Maters in C omputer S cience, C omputer E ngineering/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 o ne 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.
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.
Job Type
Shift
Primary Location
Additional Locations
Posting Statement
Benefits
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. Job posting details (such as work model, location or time type) are subject to change.
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.
Skills
Who can apply
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