Architecture Student jobs at Intel in Israel

Job Description:Qualifications:Student / InternShift 1 (Israel)Israel, Petah-Tikva

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

As a Production Manufacturing Engineering (ME) Student, you will play a key role in supporting the team's efforts to optimize factory capacity and performance. This includes applying engineering principles, data analysis, and manufacturing science to improve equipment efficiency, production flow, and operational excellence.
Responsibilities:
Develop models and methodologies to measure equipment performance and capabilities, factory capacity, and output.
Identify bottlenecks and risks in equipment and process flows, analyze performance data, and propose actionable solutions.
Initiate and implement optimization strategies to enhance equipment availability, utilization, and overall production output.
Analyze deviations between planned and actual performance, and drive corrective actions to close execution gaps.Integrate engineering, data, and operational insights to drive continuous improvement and meet performance targets.Education: 2nd or 3rd-year student in Industrial Engineering and Management.
Strong analytical skills and experience in data analysis and problem-solving.
High level of initiative and ability to self-learn.Strong communication and presentation abilities.
Ability to extract and analyze data using tools and systems such as Python, SQL, Power BI, and Excel - advantage.
Solid understanding of manufacturing operations and production line management.
Ability to multitask and work under tight deadlines.
Excellent English communication skills (written and verbal)
Student / InternShift 1 (Israel)Israel, Kiryat-Gat

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

Job Description:

We are looking for a talented student to help us with our research and software development projects. In this role, you will work closely with multiple research and engineering teams to make cutting-edge NLP/MM models more efficient, optimize software, and contribute to internal frameworks and open-source projects.

As a Research student, you will focus on:-

• Examining novel methods, analyzing performance, and developing efficient algorithms to improve the efficiency of NLP/MM models.
• Participating in research projects with top researchers and engineers at Intel and in academia
• Actively contributing to the open source community.

Qualifications:

• BSc, MSc, or PhD in Computer Science, Computer Engineering, or a related field with at least one year until graduation and availability to work three days per week.
• Strong software engineering capabilities in Python, Java, Go, Rust or C/C++.
• Experienced working with PyTorch or Tensorflow.
• Theoretical background in Deep Learning and/NLP/MM.
• Excellent written and verbal communication skills for expressing technical ideas and initiatives.

Extra points are given for:

• Previous hands-on experience with NLP/MM methods and models.
• Experience in mapping and understanding the performance of neural network models, model optimization on CPU/GPU hardware.
• Past publications in top machine-learning or NLP/MM venues.
• Experience with popular open source deep learning and AI libraries, such as Hugging face's Transformers, TGI, vLLM, and DeepSpeed
• Experience with full-stack development, building UIs and visualizations.

Student / InternShift 1 (Israel)Israel, Petah-Tikva

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

Job Description:

• Create visual content – presentations, videos, and photos – for internal and external communications.
• Support internal initiatives with creative ideas and engaging materials.
• Collaborate with teams to deliver impactful visual messaging.
• Manage creative projects from concept to execution.
• Stay up-to-date with trends and tools in visual communication.
•– helping plan and produce internal events, ceremonies, and engagement initiatives that foster a positive and inclusive workplace culture.

Requirements

• First/second-year student in Communication, Marketing, Design, Film, or related field.

• Creative thinker with strong visual storytelling skills.
• Experience in presentation design, video editing, and photography.
• Proficiency in tools like PowerPoint, Canva, Adobe Premiere, CapCut.
• Strong interpersonal and communication skills.
• Fluent in Hebrew and English.
• Social media experience – advantage.
• Passionate, proactive, and hands-on.

Student / InternShift 1 (Israel)Israel, Kiryat-Gat

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

Job Description:

Yield engineers play a critical role in analyzing production data, identifying process deviations, and driving improvements to maximize product quality and output. As a Yield student, you will work alongside experienced engineers, support real-time manufacturing needs, and contribute to the continuous improvement of yield performance.
Responsibilities:
• Collect, analyze, and interpret inline and yield data from manufacturing processes.
• Identify trends, anomalies, and root causes for inline deviations and yield loss using statistical tools and engineering methods.
• Collaborate with process, equipment, and integration engineers to propose and implement corrective actions.
• Support the development and validation of models for process control and optimization.
• Document and communicate results clearly to cross-functional teams.
Why Join Us?
• Be part of a high-impact team driving quality and efficiency in semiconductor manufacturing.
• Gain hands-on experience with advanced technologies and data-driven engineering.
• Work in a dynamic, supportive environment with opportunities for growth and learning.

• M.Sc. student in Materials Engineering, Chemical Engineering, Mechanical Engineering, or Data Science.
• Strong analytical skills and experience in data analysis and problem-solving.
• High level of initiative and ability to self-learn.
• Experience with data analysis tools such as Python, JMP, Excel, or similar-advantage.
• Solid understanding of manufacturing operations and statistical process control-advantage.
• Ability to multitask and work under tight deadlines.
• Ability to work at least 20 hours per week (2.5 days a week).
• At least 2 years until graduation-required.

Shift 1 (Israel)Israel, Kiryat-Gat

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

Job Description:

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?

• You will work closely with expert engineers to support day-to-day engineering advanced work: support production needs, responsibility for highly advanced processes, and equipment stability.
• Be responsible for the implementation of new processes and methods, Proactive detection of malfunctions, Troubleshooting, Etc. using cutting-edge tools and methods.
• Take a part in implementing groundbreaking Automation solutions in Engineering and quality management systems to ensure fast response to production line needs.
• In this role, you'll be getting the experience you need, with the right balance of work and studies.

What are we looking for?

• B.Sc. Student of Mechanical Engineering, Materials Engineering, or Chemical Engineering
• Ability to work at least 20 hours per week. (2.5 days a week)
• 2 years until graduation- required
• Strong data analysis abilities and data systems orientation.
• Ability to work independently and be a team player
• Excellent English
• High knowledge of statistical data analysis- advantage

Shift 1 (Israel)Israel, Kiryat-Gat

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

Job Description:

The Intel Fab28 Headquarters Data Analyst Technical Assistant will:
• Data Analysis and System Management: Execute advanced people analytics processes, perform comprehensive data analysis, and develop and maintain HC information systems, including building applications, reports, and decision support tools.
• Provide Technical Support: Collaborate closely with F28 labor analyst to deliver technical assistance and support for daily headcount (HC) activities and program management initiatives.
• Dashboard and Portal Management: Ensure seamless operation and connectivity of Fab's dashboards, homepages, and portals, maintaining optimal performance and functionality.

Qualifications:

Academic Requirements:
• 3rd year B.Sc. student in Industrial Engineering (with systems information focus) or Information Systems Engineering.
Availability:
• Minimum 20 hours per week, 2-3 days per week
Required Skills and Experience:
• Advanced data analysis and problem-solving abilities with strong analytical mindset
• Demonstrated experience in teamwork, customer service, and project management within dynamic, fast-paced environments
• Strong administrative management capabilities
• Ability to collaborate across multiple interfaces and work effectively in multidisciplinary teams
• Excellent interpersonal, communication, organizational, and prioritization skills
Technical Proficiencies:
• Experience with Power BI and SQL, and Excel-based solutions.
• Strong ability to develop and adopt AI-based solutions to enhance operational effectiveness
Personal Attributes:
• Excellent multitasking abilities with capacity to deliver under tight timelines
• Fast learner with self-directed learning capabilities and commitment to staying current with emerging technical developments
• Excellent English communication skills (written and verbal)

Student / InternShift 1 (Israel)Israel, Kiryat-Gat

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.