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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).
These jobs might be a good fit

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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?
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- B.Sc. in Computer science or Electrical Engineering
- 2-3 years of experience in Verification
Programming/scriptinglanguages (C, C++, C#, Java, PERL, Python, etc.)
Advantages:
- Experience in CPU design / verification
College GradShift 1 (Israel)Israel, HaifaIsrael, Petah-TikvaThis role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.These jobs might be a good fit

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These jobs might be a good fit

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These jobs might be a good fit

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Responsibilities:
Team Leadership and Management:
Technical Leadership:
Stakeholder Management:
Strategic Planning:
Education and Experience
Technical Expertise
Leadership Skills
Additional Requirements
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What You’ll Do:
• Practical electronic engineer
• We expect a highly-motivated technical expert with good communication and presentation skills.
• Strong interests in problem solving and an attitude to convince people of own ideas as well as openness towards novel technical directions are mandatory.
• The candidate should be capable of working in multi-disciplinary / site / cultural teams.
• Excellent English communications: read, write and verbal
• Flexibility on site work between Haifa and Petah-Tikva
Advantages:
• Full and deep knowledge in the Cadence Virtuoso IC6 (Open Access environment)
• Full and deep knowledge in Mentor Calibre verification tools.
• Expert in debugging verification problems such as DRC, LVS, DFM.
• Deep understanding of the layout theory such as transistor work flow, silicon cross section knowledge and fabrication process.
• Experience in Analog layout designs such as DAC, ADC, differential OP amps and Base band filters circuits.
• Experience in RF layout designs such as RX, TX and VCO circuits.
These jobs might be a good fit

Share
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).
These jobs might be a good fit