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Requirements:
Minimum Qualifications
BS degree in technical discipline with minimum 10 years of relevant experience.

Preferred Qualifications
Experience designing analog and mixed-signal layouts in deep-submicron CMOS and FinFET technologies.
Strong programming/scripting skills in SKILL, Perl, TCL, Shell, and/or Python, with emphasis on layout automation, productivity tooling, and data analysis.
Solid understanding of supervised and self-supervised learning, convolutional neural networks (CNNs), and core training concepts such as loss functions, backpropagation, and optimization.
Hands-on experience with PyTorch for model development and experimentation.
Demonstrated ability to automate layout tasks, flows, and quality checks using scripting and CAD tools.
Proven record in implementing high-quality analog layouts with tight device matching, low noise, and low power consumption.
Familiarity with failure-prone circuit/layout structures, analog and DFM best practices, and the ability to diagnose and resolve layout-related issues.
Strong proficiency in custom and standard-cell floor planning, hierarchical layout assembly, and physical integration.
Understanding of image processing fundamentals, spatial representations, multi-channel image handling, segmentation, and object detection concepts.
Technical understanding of IR drop, RC delay, electromigration, self-heating, coupling capacitance, and related reliability concerns.
High proficiency in interpreting physical verification reports, including DRC, ERC, and LVS.
Experience using advanced Cadence Virtuoso features (XL, EAD, APR, Constraint Manager), and familiarity with Cadence Innovus.
Experience with CAD automation workflows and PCell creation.
Excellent communication skills and the ability to work effectively with cross-functional teams.

Requirements:
Minimum Qualifications
Pursuing a B.Sc.\M.Sc. in Electrical Engineering, Computer Engineering.
Students who have completed at least 3 semesters.
** Must add grade sheet **

Preferred Qualifications
Experience with Python/ C/C++ or other scripting languages is an advantage.

Requirements:
Minimum Qualifications
Experience with programming (C++/C) and scripting skills (Python). (MSc graduates may be considered without prior industry experience)
Background in low-level software, operating systems, or compilers.
Experience developing and debugging large, complex system software.
Experience with concurrent and parallel programming.
Knowledge of ARM and/or X86 architecture.

Preferred Qualifications
Degree in Computer Science or Computer Engineering.
Experience with kernel, driver and firmware development.
Experience with modeling and simulation.
Assembly experience.
Knowledge of modern SoC architectures.
Experience collaborating with cross-functional teams to achieve scheduled milestones.

Requirements:
Minimum Qualifications
3+ years of experience in embedded firmware development within Real-Time (RT) or Embedded environments.
Strong proficiency in C, with a deep understanding of hardware-software interaction.
Hands-on expertise with Hardware-Software integrations, particularly for silicon validation and bring-up.
Exceptional debugging skills at the firmware and hardware level.
Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or equivalent practical experience.

Preferred Qualifications
Experience with pre-silicon and post-silicon validation methodologies.
Familiarity with CPU architectures (e.g., ARM) and low-level system programming.
Direct experience with System-on-Chip (SoC) development or validation.

Requirements:
Minimum Qualifications
10+ years of experience in embedded firmware development within Real-Time (RT) or Embedded environments.
Strong proficiency in C, with a deep understanding of hardware-software interaction.
Hands-on expertise with Hardware-Software integrations, particularly for silicon validation and bring-up.
Exceptional debugging skills at the firmware and hardware level.
Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or equivalent practical experience.

Preferred Qualifications
Experience with pre-silicon and post-silicon validation methodologies.
Familiarity with CPU architectures (e.g., ARM) and low-level system programming.
Direct experience with System-on-Chip (SoC) development or validation.

Requirements:
Minimum Qualifications
BS.c/MS.c in Electrical Engineering, Computer Engineering, or Computer Science.
Constantly striving for improvement.
Proven experience with Design Verification - multiple years working in DV or DV CAD space.
Strong software foundation, good understanding of SW basics, including data structures, algorithms.
Proven track record of automating tasks and improving existing workflows and processes.
Good communication skills.
General understanding of the chip design process, what are: hardware description languages, FE, design simulation, synthesis, PD, etc.

Preferred Qualifications
Cloud-native development: experience with docker, k8s, writing HTTP servers, authentication and authorization.
Familiarity with LLM harnesses and LLM frameworks.
Good Python skills, including: familiarity with async programming, Pydantic, SQLAlchemy, FastAPI.
Familiarity with SQL and experience working with databases such as MySQL.

Requirements:
Requirements:
* Proven experience in managing subcontractors or managing projects at an electronics subcontractor – mandatory.
* Experience in a manufacturing / industrial environment within the electronics industry – mandatory.
* High proficiency in Excel and ERP systems (Priority / SAP – advantage).
* High level of English (spoken, reading, and writing) – mandatory.
* Education: Relevant Bachelor’s degree – mandatory.

Requirements:
At least 3 years of experience in manual software testing, executing automated tests, and performing end-to-end integrations - required
Experience working with network monitoring and analysis tools such as Wireshark - required
Familiarity with and understanding of communication protocols
Strong technical and system-level perspective, with the ability to understand complex system architectures and interactions between different components
Strong analytical skills and the ability to identify, analyze, and resolve complex issues
High proficiency in written and spoken Hebrew and English
Bachelors degree in Electronics or Computer Science, or completion of a QA or Integration course

Requirements:
Requirements
At least 3 years of experience as a DevOps Engineer.
Hands-on experience building and maintaining CI/CD pipelines using Jenkins and/or Azure DevOps.
Experience with Git version control.
Experience writing automation scripts using Bash, Python, PowerShell, Groovy, or Batch.
Experience working with Linux and Windows environments.
Hands-on experience with Docker Containers.
Strong experience with Kubernetes (K8s), OpenShift (OCP), or RKE.
Advantages:
Development background.
Experience working in air-gapped (isolated) environments.
Experience with Infrastructure as Code tools such as Terraform or Ansible.
Experience with Helm.
Familiarity with DevSecOps practices.
Experience with GitOps methodologies.
Good understanding of Networking.
B.Sc. in Computer Science or Software Engineering.

Requirements:
Electronics Practical Engineer certification.

Strong hands-on technical skills in mechanical assembly, electrical wiring, system integration, and final testing.

Strong analytical thinking and problem-solving skills, with the ability to work independently while collaborating effectively with cross-functional teams.

Ability to work according to written procedures.

High level of responsibility, reliability, and attention to detail.

Strong proficiency in English, including reading, writing, and verbal comprehension, sufficient for technical procedures, documentation, and professional email communication.

Ability to handle both hardware- and software-related issues.

Experience working in a manufacturing environment - an advantage.

Previous experience in the medical device industry - a strong advantage.

Requirements:
B.Sc. / B.Eng. / Practical Engineering degree in Software Engineering, Computer Science, Electronics Engineering, Biomedical Engineering, Information Systems, or a related field.
Hands-on experience developing test automation frameworks using C# and/or Python.
Strong software development skills, including object-oriented programming and scripting in C#, Python, or Java.Understanding of software testing methodologies and the Software Development Life Cycle (SDLC).
Experience analyzing software requirements and writing test documentation (STP, STD, STR).
Experience with Azure DevOps and/or Jira.
Good written and spoken English.