

This position is in FFEO (Frontend facilities engineering and operations) organization in Intel Kiryat Gat. This org (Production Infrastructures) supports all technical and logistics aspects required in order to maintain 24/7 manufacturing at the Clean Room at Intel Kiryat Gat. As part of your role, you will be working in the Gas and chemicals operation area, requested to verify systems are functioning well, perform all maintenance activities on the equipment and monitoring the equipment constantly. You will be working in shifts schedule. Systems activities on the shift includes: Read and Rounds, coordination and management of activities, performance of repairs and advanced trouble shooting of equipment (which includes mechanical and electronic systems).
Qualifications:
Additional qualifications include:
משרות נוספות שיכולות לעניין אותך

You will be exposed to High-Speed I/O protocols such as PCIe, DDR5, and PAM4 Ethernet, which are a part of our Ethernet Infrastructure Processing Unit (Intel IPU) and Foundation NIC (FNIC) Ethernet product lines.
In this position:
משרות נוספות שיכולות לעניין אותך

In this role, you will be responsible for:
Development of large-scale generative AI framework software development
Preparing data for machine learning models at scale.
Building inference interfaces for ML model consumption.
Enabling ML Ops for continuous delivery and automation of ML pipelines.
Developing solutions that can evolve into sustainable AI productization platforms.
Leading the creation of machine learning workflows and infrastructure necessary to build AI models and demonstrate solution feasibility.
*BSc/MSc/PhD student in Computer Science, Electrical Engineering, or similar field. MSc/PhD candidates are highly preferred.
* Ability to work at least 20 hours a week (one day from Petach Tikva offices), with studies expected to continue for at least 1.5 years.
* Practical programming experience in Python and ideally also C# is required.
*Experience with popular generative AI (e.g., AWS (Claude) or Azure (Open AI) Cognitive AI) services is highly desired.
* Solid understanding of machine learning techniques and applications.
* Proficiency in developing large-scale models using widely utilized AI frameworks (e.g., PyTorch, TensorFlow).
משרות נוספות שיכולות לעניין אותך

Engineering groups lead continuous improvement of processes and tools stability, reduce variance, cost reductions projects, and meet targets in an optimal way.
What will you do?
What are we looking for?
משרות נוספות שיכולות לעניין אותך

Responsibilities:
Team Leadership and Management:
Technical Leadership:
Stakeholder Management:
Strategic Planning:
Education and Experience
Technical Expertise
Leadership Skills
Additional Requirements
משרות נוספות שיכולות לעניין אותך

Your work will enable scalable, efficient, and high-quality silicon design by leveraging advanced Python software development within modern EDA workflows.
Key Responsibilities:
• Design, develop, and maintain Python-based tools and infrastructure to automate and streamline EDA workflows.
• Develop and extend GitHub Actions/Workflows to support continuous integration, validation, and deployment for hardware design flows.
• Partner with design and CAD teams to identify inefficiencies and deliver high-impact automation solutions.
• Integrate and support EDA tools from major vendors (e.g., Synopsys, Cadence, Siemens) into design flows.
• BS/MS in Computer Science, Electrical Engineering, or related field.
• 5+ years of experience in software development using Python.
• Experience using Git for source control in large collaborative environments.
• Experience using GitHub workflows, including GitHub Actions, secrets, runners, and CI/CD pipelines.
• Strong debugging and problem-solving skills with attention to software robustness and maintainability.
Preferred Qualifications:
• Familiarity with industry-standard EDA tools and front-end design workflows, including RTL development, simulation, functional verification, linting, and logic synthesis.
• Experience using GitHub SDK/API for automation and repository management.
• Familiarity with build systems (e.g., Make, CMake, Gradle) and dependency management.
• Exposure to front-end EDA data formats such as Liberty timing models, SDC constraints, and simulation data formats like SDF and VCD/FSDB.
• Experience designing, deploying, and managing containerized workloads using technologies such as Docker and Kubernetes.
משרות נוספות שיכולות לעניין אותך

Responsibilities:
משרות נוספות שיכולות לעניין אותך

This position is in FFEO (Frontend facilities engineering and operations) organization in Intel Kiryat Gat. This org (Production Infrastructures) supports all technical and logistics aspects required in order to maintain 24/7 manufacturing at the Clean Room at Intel Kiryat Gat. As part of your role, you will be working in the Gas and chemicals operation area, requested to verify systems are functioning well, perform all maintenance activities on the equipment and monitoring the equipment constantly. You will be working in shifts schedule. Systems activities on the shift includes: Read and Rounds, coordination and management of activities, performance of repairs and advanced trouble shooting of equipment (which includes mechanical and electronic systems).
Qualifications:
Additional qualifications include:
משרות נוספות שיכולות לעניין אותך