לוח משרות דרושים מהנדס חשמל בכפר סבא, לחיפוש זה נמצאו 32 משרות

Requirements:
B.Sc. or higher in Electrical Engineering
At least 5-7 years of proven experience in board-level hardware design, including analog, digital, and power electronics
Experience in hardware and firmware integration
Hands-on experience with professional schematic, PCB design, simulation, and verification tools
Experience using analysis tools to simulate and validate analog, power, and mixed-signal circuits
Strong experience in board bring-up, laboratory measurements, validation, and debugging
Practical experience with oscilloscopes, analyzers, electronic loads, and other laboratory equipment
Hands-on experience with PCB manufacturing and assembly processes, including work with external PCB and PCBA suppliers
Experience in component engineering, BOM management, substitute components, and supply-chain constraints
Excellent written and spoken English
Significant advantages
Experience designing power electronics or motion control systems
Experience with thermal analysis and heat-simulation tools
Knowledge and practical experience with EMC/EMI requirements and relevant standards
Experience designing hardware for defense, aerospace, robotics, drones, or other mission-critical applications

Requirements:
BSc/MSc in Computer Science, Electrical Engineering, or related field
3+ years of experience managing multi-regional engineering teams
Strong technical background in Kubernetes and cloud-native development
Proficiency in C/C++; familiarity with Python and Bash
Understanding of real-time systems, networking, and resource management concepts
Experience working in Agile environments (SAFe experience a plus)
Excellent communication skills and ability to collaborate across cultures and time zones
Telecom or wireless industry experience-or experience in adjacent fields such as communications systems or real-time constrained products

Requirements:
B.Sc. in Electrical Engineering, Computer Engineering, Computer Science, Telecommunications, or a related field, or equivalent practical experience.
5+ years of hands-on experience in RAN system verification, system integration, performance engineering, lab engineering, field support, or a similar technical role.
Strong knowledge of at least one RAN technology or domain, such as LTE, 5G NR, PHY, MAC, RLC, PDCP, protocol stack, RAN performance, or end-to-end feature validation.
Proven experience investigating complex technical issues using logs, traces, configurations, software versions, and test results.
Practical scripting experience using Python, Shell, or similar tools.
Strong analytical skills, technical ownership, attention to detail, and the ability to collaborate effectively across cross-functional engineering teams.
Excellent written and verbal communication skills.

Requirements:
BSc or MSc in Electrical Engineering, Computer Engineering, Computer Science, or a related field,
with substantial relevant industry experience. A PhD in wireless communications, signal processing, or a related area
is an advantage.
Typically 7+ years of hands-on experience in wireless systems, RAN development, modem/PHY development,
or system/link-level simulation; exceptional candidates with equivalent depth are welcome.
Deep knowledge of LTE and/or 5G NR L1/L2 behavior, including MAC scheduling, link adaptation,
HARQ, CQI/SINR feedback, resource allocation, and uplink power control.
Strong understanding of digital communications and signal processing, including channel estimation,
equalization, coding/modulation, MIMO, propagation and fading models, and performance metrics.
Demonstrated experience building or validating link-level, system-level, or hardware-in-the-loop simulations and
explaining where a model is-and is not-valid.
Strong programming skills in C or C++ and Python, including the ability to integrate production native code with
simulation and analysis tooling.
Practical experience with scientific computing and data analysis using tools such as NumPy, SciPy, pandas,
and visualization frameworks.
Hands-on experience developing or evaluating machine-learning models for communications, signal processing,
time-series data, or related domains using PyTorch, TensorFlow, or an equivalent framework.
Sound experimental and statistical judgment: reproducibility, baselines, error analysis, uncertainty, calibration,
controlled comparisons, and avoidance of data leakage or curve fitting.
Experience working in Linux development environments with Git, automated testing, containers, and CI/CD.
Ability to lead a technically ambiguous initiative, make architecture decisions, and communicate clearly
across research, product, development, and validation teams.