דרושים טאואר סמיקונדקטור

Requirements:
Practical Engineer/Technician of Industrial Engineering OR a student for a Bachelor Degree in Industrial Engineering with at least 2 years of remaining studies.
Ability to conduct data, analyze it, and work accurately with numbers.
Excel Working fluently with formulas, VLOOKUP, Pivot Tables, etc.
Fluent in English (especially reading and writing).
Team Player.

Requirements:
You should be studying for a M.Sc degree in Electrical Engineering or Physics with at least three semesters till graduation.
Availability for work 2 days in a week at least.
Strong motivation to work in micro and nano-electronics field, including semiconductors physics.
Familiar with Semiconductor devices and electrical circuits is a must
Practical skills of operation with Electrical Device such us: Power Supplies, Pulse Generators, Scops, Logic Analyzers is advantage
Familiar with Semiconductor processes is advantage
Experience in Digital/Analog circuits design is advantage
Experience and knowledge in Electrical TEST is advantage
Strong ability to work independently
Good Communication skills
English High level

Requirements:
Bachelors degree in data Engineering, Statistics, Mathematics, Computer Science, or a related technical field.
Masters degree in a relevant field advantage.
5+ years of hands-on experience as a data Scientist (experience in semiconductor or manufacturing environments strong advantage).
Proven experience developing and implementing ML, Deep Learning, and LLM-based algorithms.
Strong programming skills in Python and experience working with relational databases.
Deep understanding of development processes and best practices in the LLM domain.
Experience building and deploying Deep Learning models using PyTorch advantage.
Experience developing Multi-Agent Systems advantage.
Strong communication and leadership abilities; able to lead complex technical programs while operating as an individual contributor.

Requirements:
B.Sc student in Chemical Engineering/ Materials Science/Biochemical Engineering.
Have three semesters remaining until graduation
Be available to work a minimum of two days per week
Academic average of 85 or higher
Some knowledge of semiconductor wafer processing.

Requirements:
B.Sc. student in Industrial Engineering
Have three semesters remaining until graduation
Be available to work a minimum of two days per week
High-level English communication skills (written and verbal)
Academic average of 85 or higher
Some knowledge of semiconductor industry- Advantage

Requirements:
B.Sc. Industrial Engineering/Chemical engineering/ Material Engineering. Master's degree preferred
Industrial engineering experience: Extensive experience in Semiconductors environment
Wide experience in manufacturing and operations management techniques required
Ability to communicate with external and internal multi-cultural stakeholders
High analytical skills and data driven
Strong understanding of statistics, data analysis and problem-solving methodologies
Ability to attend to details while keeping big picture in mind
Experience in optimization, tool modeling and performance metrics preferred

Requirements:
BA in Psychology/ Sociology/ Human Resource - Must
At least 2-3 years experience in similar roles - Must
Experience working in occupational diagnostics institutions (Adam Milo, Pilat, Keinan-Sheffy, etc) - Major advantage
Full control of Office suite (Excel, Power Point, Word)
High level of control in English (Speaking, reading and writing)
You should be a great team player, innovative and creative, comfortable to work in a fast paced, ambiguous and changing environment while showing your abilities to manage excellent relationship with candidates and internal partners (HR, Managers etc)

Requirements:
M.Sc. (recent graduate) in Materials or Chemical Engineering

Preferred: background in semiconductor studies, cleanroom experience, or prior role as a process engineer

Demonstrated proficiency in statistical methods, SPC, DOE, and data analysis

Excellent verbal and written communication and presentation skills

Strong hands-on experience with semiconductor tools and process technologies

Good understanding of the semiconductor manufacturing ecosystem and metrology techniques

Familiarity with device physics and device architecture is an advantage

Proven ability to identify root causes, solve complex problems, and implement sustainable solutions

Highly organized and capable of managing multiple complex projects in parallel

Solid understanding of manufacturing flows, cycle times, and material management principles