לוח משרות דרושים חשמל ואלקטרוניקה בתל אביב יפו

Requirements:
B.SC./ M.SC. in Electrical Engineering
At least 5+ years of hands-on layout design experience
Strong background of Physical Design Verification methodology LVS/DRC
Knowledge in physical design flows and methodologies (PNR, STA, physical verification)
Familiarity with physical design EDA tools (such as Synopsys, Cadence, etc..)
Great teammate.

Requirements:
MSc or PhD in Electrical Engineering, Computer Science, or Computer Engineering or equivalent experience.
At least 5 years of experience.
Background in data center network protocols, threat modeling, and network security, as well as common mitigation techniques.
Programming and debugging fundamentals across languages such as Python, and C/C++.
Strong communication skills and a genuine passion for working together as a team are vital.
Ways to stand out from the crowd:
Proven security research experience and publications in top security conferences.
Experience with high-scale deployment challenges, RDMA networking, and machine learning.
Architectural background in hardware and software systems codesign.

Requirements:
MSc or PhD in Electrical Engineering, Computer Science, or Computer Engineering or equivalent experience.
5+ years of experience.
Background in memory forensics, introspection, operating systems, and file systems as well as common malware patterns and mitigation techniques.
Programming and debugging fundamentals across languages such as Python, and C/C++.
Strong communication skills and a genuine passion for working together as a team are vital.
Ways to stand out from the crowd:
Demonstrated security research experience and publications in top security conferences.
Experience with high-scale deployment challenges, networking, and machine learning.
Architectural background in hardware and software systems codesign.

Requirements:
B.SC./ M.SC. in Electrical Engineering/Computer Engineering.
2+ years of experience in physical design and STA
Proven experience in RTL2GDS and STA flows and methodologies.
Familiarity with physical design EDA tools (such as Synopsys, Cadence, etc.) and timing signoff (Primetime).
Great teammate.

Requirements:
BSc in Electrical/Computer Engineering or MSc in Mathematics
5+ years of relevant experience in chip design field (design/verification/formal).
Excellent analytical, logical reasoning and problem-solving skills
Strong debugging and analytical skills.
Strong communication and interpersonal skills are required
Ways to stand out from the crowd:
Formal verification work experience
Team Player
Knowledge of digital logic.

Requirements:
B.Sc. or higher in Electrical Engineering or related field: Solid educational foundation in electrical engineering principles, particularly in power integrity and physical design.
3+ years of experience in power integrity engineering: Proven experience in power integrity analysis, mitigation, and optimization, especially in the context of high-performance computing or networking hardware.
Proficiency with industry-standard PI tools: Hands-on experience with tools such as Cadence, Ansys, or other EM simulation tools, including power delivery network (PDN) analysis and design.
Ability to collaborate across teams: Strong communication and teamwork skills, with a track record of working closely with hardware and design teams to implement power delivery strategies.
Adaptability and problem-solving skills: Ability to thrive in a dynamic, fast-paced environment where quick thinking and creative solutions are often required.
Ways to stand out from the crowd:
Advanced degree (M.Sc./Ph.D.) in Electrical Engineering: Specialization in power integrity, signal integrity, or related fields, with a focus on cutting-edge research or projects.
Programming skills: Proficiency in Python, tcl, or other relevant programming languages for automating analysis or enhancing tool capabilities.
Innovative mindset: A demonstrated ability to push the boundaries of whats possible in power integrity design, contributing to our companys legacy of continuous innovation.

Requirements:
Advanced degree (Ph.D. preferred) in Experimental Physics, Electrical Engineering, or a related field.
5+ years of hands-on experience in lasers, optical communication, fiber lasers, or complex electro-optical systems.
Proven experience in leading high-performing technical team and delivering successful hardware projects to production.
Deep understanding of physical system design and integration, especially optical systems.
Track record of delivering production-grade hardware, including enclosures and computing components.
Strong interdisciplinary mindsetable to navigate physics, engineering, and software.
Creative, problem solver with a practical, execution-oriented approach.
Excellent communication skills.
Passion for working in a fast-paced, collaborative startup environment.

Requirements:
Advanced degree (M.Sc. or Ph.D.) in Electrical Engineering, Physics, Applied Mathematics, Computer Science, or a related quantitative discipline.
5+ years of hands-on experience in developing and deploying machine learning, signal processing, or algorithmic solutions, with emphasis on raw or low-level data (e.g., sensor data, audio, video streams, or medical imaging).
Proven expertise in time-series analysis and handling large-scale, complex datasets from acquisition to production deployment.
Strong Python programming skills, with the ability to write clean, modular, and testable production-grade code.
Demonstrated experience deploying ML/DSP pipelines into production environments, ideally in high-availability systems.
Familiarity with ML/DL frameworks such as PyTorch, TensorFlow, scikit-learn, and gradient-boosting libraries (e.g., XGBoost, LightGBM).
Strong collaboration and communication skills, with the ability to work effectively across interdisciplinary teams including software engineers, physicists, and external stakeholders.

Requirements:
Masters/Ph.D. in Computer Science, Electrical Engineering, Machine Learning, information systems engineering, or related field.
5+ years of hands-on experience with developing & maintaining production class Machine Learning projects aimed towards solving business problems.
High proficiency in Python
Hands-on proficiency with modern generative AI models, prompt engineering, multi-agents, and RAG architectures. Also, a solid understanding of transformers, optimized fine-tuning techniques, and evaluation methodologies of LLMs while using relevant frameworks (Hugging Face, LangChain, LlamaIndex, etc)
Familiarity with embedding models and vector databases - advantage
Experience in data exploration and visualization.

Requirements:
B.Sc 4th year Student in Electrical Engineering that plans to continue to M.Sc
OR
M.Sc. Student in Electrical Engineering, with at least 2 years remaining until graduation
Study Paths - Power electronics and mixed-signal circuits, RF & Electromagnetism, Control, Electro-optics
Advantage - Practical background in electronics devices, lab equipment, semiconductor, and/or electro-optics
Preferred Qualifications
Hands-on experience with electrical lab equipment
Experience using Matlab/Payton
Excellent written/verbal communication skills
Great teammate

Requirements:
* B.Sc. in Computer Science / Electrical Engineering / Computer Engineering.
* At least 3 years of development experience in a development team of complex enterprise systems.
* At least 2 years of experience in C / C ++ programming.
* Experience in multi-threading principles and programming.
* Experience in Python, JAVA, Linux, and Git.
* Great team player who knows when and how to push independently when needed.
* Strong communication skills.
Advantages:
* Experience in native mobile application development in Android or IOS.
* Experience Objective- C programming.
* Experience in NDK and JNI for Android.
* Experience with SDK development or integration. Advantages.
* Experience in reverse engineering for Android.
* Knowledge in Cyber security and Networking.
About the company:
Our mission is to protect every mobile app in the world and its users. We provide mobile brands with the only patented, centralized, data -driven Mobile Cyber Defense Automation platform. Our platform delivers rapid no-code, no-SDK mobile app security, anti-fraud, anti-malware, anti-cheat, anti-bot implementations, configuration as code ease, Threat-Events threat-aware UI / UX control, ThreatScope Mobile XDR, and Certified Secure DevSecOps Certification in one integrated system. With us, mobile Developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, TEST, release, and monitor the full range of cyber, anti-fraud, and other defenses needed in mobile apps from within mobile DevOps and CI/CD pipelines. Leading financial, healthcare, m-commerce, consumer, and B2B brands use us to upgrade mobile DevSecOps and protect Android & IOS apps, mobile customers, and businesses globally. Today, our customers use our platform to secure over 50,000+ mobile apps, with protection for over 1 billion mobile end users projected.
We are an Equal Opportunity Employer. We are committed to diversity, equity, and inclusion in our workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. All qualified applicants will receive consideration for employment without regard to any of these characteristics.