לוח משרות דרושים מהנדס חשמל עבודה היברידית, לחיפוש זה נמצאו 43 משרות

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.

Requirements:
M.Sc., or Ph.D. in Electrical Engineering, Computer Science, Physics, Mathematics, or a related field.
5+ years of experience in ML applications in modeling Time-series data, & ML-based vectoring, and Embeddings for insight & recommendations systems (Transformers included) - Mandatory
2+ years of experience in LLM and Agentic applications, Eval tools, methods, and workflows (HITL, LLM-as-a-judge, deterministic, Metrics & Embeddings), Fine-Tuning, and AI workflows and lifecycle (e.g. LangSmith, CrewAI, LangGraph, Embedding (BERT, w2v, FastText, FastEmbed, GloVe, etc.), Tokenizations (GPT. TikToken, Token validators, etc.), & Vector Similarities & search methods
Proficiency in Python for model development, deployment, and monitoring.
Experience working on Agile teams with a passion for fast iterations, feedback, and continuous learning.
Proven ability to collaborate with diverse, cross-functional groups, including product managers, infrastructure, and data engineering teams.
The ability to translate research into scalable, production-ready solutions.
Experience in anomaly detection and AI/ML - an advantage.
Experience in feature engineering-based signal processing - an advantage
Experience in optimizing costs of API calls - Nice to have

Requirements:
Bachelors degree in electrical engineering or equivalent. Practical Engineer (PE) with strong, proven experience will also be considered.

Minimum of 10 years of experience in ATE development, technical problem solving, and production line support.

Proven expertise in both RF and digital hardware design and testing.

Deep understanding of system-level architecture and the ability to lead technical decisions based on schematics and high-level block diagrams.

Strong analytical and problem-solving skills, especially in troubleshooting test setups and product failures.

Experience with RF test equipment (spectrum analyzers, VNAs, signal generators) and digital scopes, logic analyzers, etc.

Familiarity with programming/scripting languages for test automation Python - a plus.

Excellent communication and collaboration skills, with the ability to drive alignment across multidisciplinary teams.

Excellent mathematical and problem-solving skills.

Self-driven, detail-oriented, and able to manage multiple tasks in a fast-paced environment.

Requirements:
Advanced degree (M.Sc. or Ph.D.) in Physics, Electrical Engineering, Computer Science, Mathematics, or a related quantitative field.
Over 4+ years of experience, demonstrated expertise in DSP-based methods (e.g., STFT, FFT, Hilbert, Wavelet, etc.), to extract features and anomalies from the data.
Over 2 years of professional experience in ML/AI, with a proven track record in modeling and analyzing complex time-series data.
Proven technical leadership experience in large-scale, multidisciplinary projects.
Hands-on experience working with real-world physical data and sensor signals.
High proficiency in Python for the full development lifecycle, including model deployment and performance monitoring.
Ability to independently research, architect, and implement innovative technological solutions.
Prior experience in the industrial or manufacturing sector is advantageous.
Capability to translate theoretical research into robust, scalable, and production-ready systems.
Experience thriving in agile environments with a focus on rapid iteration, continuous feedback, and professional growth.
Excellent communication skills for collaborating with cross-functional teams, including Product Management and Engineering.

Requirements:
​Requirements

10+ year of experience in complex FPGA design.

Extensive experience in development over SoC type FPGAs including integrated ARM cores and programable logic.

Extensive experience with signal processing functions and mixed-signal systems.

Excellent knowledge with FPGA design and development in Verilog/VHDL/Vivado/Vitis.

Hands on experience with FPGAs build flow including design, synthesis, place & route, timing constraints and timing closure.

Hands on with debug methodologies and lab debug experience.

B.Sc. in Electrical Engineering or equivalent with emphasis on signal processing.

Highly motivated, team player driven to achieve high quality results.


​Advantages

Experience with development over Xilinx Versal.

Experience with VLSI design tools chain as linters and Clock Domain Crossing.

Experience with beamforming and MIMO systems.

Experience with analog and RF front-end design.

Experience in space system development.

Able to write scripts in MATLAB, python, or other scripting languages.

Problem solver.

Space enthusiast.

Requirements:
Requirements:

Experienced Electrical Engineer with System Validation know how (SW, HW, FW).

B.Sc. in Electrical Engineering.

5+ years of relevant experience.

RF experience.

In depth knowledge of systems testing across domains (hardware, software and user specifications).

Knowledge of Linux fundamentals and scripting.

Experience with testing development and monitoring tools.

Excellent Communication and collaboration skills.

Lab Hands-on and Integration experience with Software Embedded systems.

Willing to learn and work with embedded systems, Test equipment, Emulators, etc.

Proficient English - a big plus.


Advantages:

Experience working with FPGA, ASIC, RT.

Experience working with test equipment such as SPECTRUM, SIGNAL GENERATOR, SCOP.

Requirements:
B.Sc./M.Sc. in Electrical Engineering from a top university
4+ years of experience in the filed
knowledge with UVM and functional verification methodologies
Preferred Qualifications
Experience with MATLAB simulations and bit-exact modeling environments
Familiarity with mixed-signal systems and environments
Knowledge and hands-on experience with Clock Domain Crossing (CDC)

Requirements:
B.Sc. or M.Sc. in Electrical Engineering or a related field.
2+ years of hands-on experience in VLSI backend design or a relevant physical design domain.
Strong understanding of the Place & Route flow.
Hands-on experience with physical synthesis, place and route, optimization, timing closure, or design floor planning.
Preferred Qualifications:
Understanding of physical construction and integration concepts across backend implementation.
Knowledge of physical design verification methodology, including LVS and DRC.
Familiarity with physical design EDA tools such as Synopsys, Cadence, or similar platforms.
Ability to learn independently, take ownership of assigned tasks, and work effectively with teammates.
Strong problem-solving skills and attention to detail in complex technical environments.

Requirements:
B.Sc. or M.Sc. in Electrical Engineering, Computer Engineering, or a related field.
5+ years of experience in design verification roles.
Strong experience with SystemVerilog and UVM-based verification environments.
Experience developing verification plans, coverage models, assertions, and debug flows.
Strong communication skills and ability to work closely with cross-functional teams.
Motivation to learn DFT concepts and become a key contributor in the DFT DV domain.
Preferred Qualifications:
Familiarity with DFT concepts such as scan insertion, memory BIST, ATPG, boundary scan, and silicon test flows.
Experience with complex SoC verification, networking silicon, or high-performance AI-driven silicon.
System-level understanding of large-scale chip architecture and integration.
Ability to build new methodologies and establish verification activity from the ground up.
High attention to detail, ownership mindset, and willingness to grow into new technical domains.

Requirements:
B.Sc or M.Sc Electrical Engineer graduate from leading Israeli Universities with average grades above 85.
Physics background.
Brilliant ambitious and motivated individual, regardless of previous experience.
Team players who enjoy big challenges.
People who can quickly ramp on multiple, interdisciplinary domains.
Preferred Qualifications:
Experience in ASIC package design, including optimizing pinouts, stack-ups, and high-speed routing.
Knowledge of silicon floor planning, signal integrity (SI), and power integrity (PI) considerations.
Hands-on experience with advanced testing and measurement equipment, including oscilloscopes and TDR/VNA analyzers.
Strong understanding of high-speed signal design and power distribution networks (PDN).
Experience in package design.

Requirements:
Bachelors degree in Electrical or Computer Engineering.
At least 3 years of experience in hardware or post-silicon validation.
Hands-on experience with lab equipment performing high-speed, clock, and precise voltage measurements.
Knowledge of high-speed interfaces and high-power DC/DC design.
Preferred Qualifications
Experience bringing up ASICs on EVBs with Board Design, FPGA, SerDes, and Software teams.
Proficiency in debugging issues in the lab using VNA/TDR, oscilloscopes, and phase noise analyzers.
Experience developing testing environments, performing validation activities, and analyzing data.
Familiarity with production testing and yield improvement.

Requirements:
B.Sc. or M.Sc. in Electrical Engineering, Computer Engineering, or a related field.
5+ years of experience in design verification roles.
Strong experience with SystemVerilog and UVM-based verification environments.
Experience developing verification plans, coverage models, assertions, and debug flows.
Strong communication skills and ability to work closely with cross-functional teams.
Motivation to learn DFT concepts and become a key contributor in the DFT DV domain.
Preferred Qualifications:
Familiarity with DFT concepts such as scan insertion, memory BIST, ATPG, boundary scan, and silicon test flows.
Experience with complex SoC verification, networking silicon, or high-performance AI-driven silicon.
System-level understanding of large-scale chip architecture and integration.
Ability to build new methodologies and establish verification activity from the ground up.
High attention to detail, ownership mindset, and willingness to grow into new technical domains.

Requirements:
A VLSI Design with extensive experience in backend design
B.Sc./M.Sc. in Electrical Engineering.
Strong understanding of Place & Route flow.
10+ years of hands-on experience in a relevant domain
4+ years of proven Management or Technical Leadership experience.
Preferred Qualifications:
Deep understanding of all aspects of Physical construction and Integration.
Knowledge in Physical Design Verification methodology LVS/DRC.
Familiarity with physical design EDA tools (such as Synopsys, Cadence, etc.).