לוח משרות דרושים מהנדס חשמל, לחיפוש זה נמצאו 607 משרות

Requirements:
Minimum Qualifications
BSc in Electrical Engineering, Computer Engineering, Acoustics, Audio Engineering, or a related field.
7+ years of experience in audio testing, voice quality evaluation, or acoustic system validation.
Proven experience working within or alongside professional audio/acoustic test laboratories.
Demonstrated ability to design repeatable, controlled test environments and methodologies.
Experience with both objective measurement tools and subjective listening evaluation protocols.
Strong system-level understanding with the ability to isolate quality issues to specific processing stages.
Deep understanding of audio signal processing fundamentals - frequency domain analysis, filtering, spectral characteristics, and time-domain behavior
Hands-on experience with voice quality measurement tools and standards (POLQA, PESQ, 3QUEST, ETSI standards).
Familiarity with HEAD acoustic test equipment - measurement microphones, artificial heads (HATS), mouth simulators, and anechoic/semi-anechoic chamber setups.
Strong proficiency in Python for test automation, data analysis, audio signal processing, and framework development.
Experience with audio acquisition systems, DACs/ADCs, and real-time audio streaming architectures.
Understanding of latency measurement methodologies in real-time audio systems.

Preferred Qualifications
MSc in Acoustics, Audio Signal Processing, Electrical Engineering, or a related discipline - considered a significant advantage.
Experience with speech recognition systems and WER evaluation methodologies.
Background in psychoacoustics or subjective audio evaluation research.
Experience with environmental simulation lab design and commissioning.
Knowledge of ITU-T P-series recommendations and ETSI test specifications.

Requirements:
BSc (or higher) in Computer Science, Math, Physics or Electrical Engineering.
3+ years of experience managing or leading software engineering teams
5+ years of experience developing hardware simulators
Strong understanding of computer architecture and system-level modelling.
Proven track record in technical leadership.
Experience in SW-HW co-development environments, influencing both architecture and tooling.
Proficiency in Python and C++.
Solid software engineering skills, including design, testing, performance tuning, and maintainability.

Requirements:
Minimum Qualifications
BSc in Electrical Engineering, Computer Engineering, Mechanical Engineering, Physics, or a related field - advanced degree strongly preferred.
7+ years of experience in environmental testing, sensor characterization, or embedded system validation.
Strong Python proficiency - automation, data analysis, instrument control, and framework development.
Proven experience bringing up sensors and subsystems on new development platforms.
Hands-on experience with HW/SW automation design, control systems, and development workflows.
Strong system-level vision - ability to comprehend the full system architecture and understand how individual sensor components interact within the broader product context.
System-to-component testing capability - proven ability to conduct system-level validation while diving deep to the component level for root-cause analysis, failure isolation, and detailed characterization.
Strong experience in environmental test design and execution for electro-optical systems.
Proficiency in system-level Test firmware development for embedded sensor platforms.
Demonstrated ability to architect and implement automation frameworks (Python-based) supporting: Instrument control and data acquisitio; API development for system-level integration; End-to-end test orchestration and regression capabilities.
Knowledge of optical performance metrics - MTF, field of view, distortion, stray light, and dynamic range under varying environmental conditions.
Familiarity with environmental simulation equipment - solar simulators, rain chambers, thermal chambers, vibration tables, and motion stages.
Understanding of laser sensor behavior under environmental stress - including atmospheric scattering, thermal drift, and background noise rejection.
Experience with sensor alignment and calibration methodologies in controlled laboratory settings.

Preferred Qualifications
MSc in Physics, Electro-Optics, Electrical Engineering, or a related discipline - considered a significant advantage.
Experience working with VXcl platforms and Sony image sensors - configuration, bring-up, characterization, and integration.
Experience developing custom test fixtures and mechanical setups for optical evaluation - including design, specification, and validation of purpose-built environmental and alignment rigs.

Requirements:
Student in Electrical Engineering, Software Engineering, or Computer Science.
In-depth knowledge of RF fundamentals and wave propagation.
Hands-on experience in electromagnetic spectrum monitoring.
Basic understanding of spectral regulation.
Practical experience operating measurement equipment:
Spectrum Analyzer
Network Analyzer
Signal Generator
Familiarity with operating SDR-based spectral monitoring sensors.
Basic experience in assembling reception chains.
Strong teamwork skills, analytical thinking, and problem-solving abilities.
Experience in Python development.- Advantage
Graduate of a basic RF course from Interlligent College (or equivalent) in a military framework - a significant advantage.

Requirements:
Minimum Qualifications
BSc in Electrical Engineering, Computer Engineering, Physics, or a related field.
7+ years of extensive experience in embedded systems, electro-optical sensor integration, or related disciplines.
Strong Python proficiency - automation frameworks, data analysis, instrument control, and test development.
Demonstrated experience with HW/SW automation, design control, and development methodologies.
Solid understanding of camera and laser sensor technologies and associated interface protocols.
Proven ability to bridge the gap between physics-level understanding and engineering implementation.
Deep understanding of electro-optical sensor principles - including photodetection, quantum efficiency, noise characterization (read noise, dark current, shot noise), and signal-to-noise ratio analysis.
Experience with optical test bench setups: integrating spheres, collimators, laser sources, spectral filters, and beam profiling equipment.
Familiarity with LiDAR / ToF sensor technologies - including timing resolution, range accuracy, and multi-path interference analysis.
Knowledge of image sensor characterization methodologies.
Experience with radiometric and photometric measurements and calibration procedures.
Understanding of laser safety classifications, optical power measurement, and wavelength characterization.
Ability to define and execute environmental and stress testing protocols for optical sensor assemblies.

Preferred Qualifications
Advanced degree (MSc or PhD) in Physics, Electro-Optics, or Electrical Engineering.
Experience with embedded firmware development or firmware-hardware co-validation.
Familiarity with CI/CD pipelines for hardware validation environments.

Requirements:
Electrical and Electronics Engineer- preference for RF/ Communications specialization.
Experience in RF/Antennas/ Communications/ cellular- an advantage.  Willingness for intensive work, non-standard hours, and working under pressure.
Strong written and verbal communication skills in Hebrew.
High service awareness and excellent interpersonal skills.
Ability to work independently and as part of a team.
Broad vision, responsibility, curiosity, creative thinking, initiative, and resourcefulness.
Command experience and field unit service in the IDF- an advantage.
Experience in managing fast TTM (Time-to-market) projects- an advantage.

Requirements:
Minimum Qualifications
MSc or PhD in Computer Science, Electrical Engineering, Physics, Applied Mathematics, or a related field.
Hands-on experience with machine learning and deep learning.
Proficiency in Python and PyTorch or a similar deep learning framework.
Strong communication skills and proficiency in English.
Ability to work well in a collaborative, highly cross-functional, and fast-paced environment.

Preferred Qualifications
Solid understanding of physics and the ability to apply physical principles to machine learning problems.
Strong understanding of optimization, model training, validation, and debugging of neural networks.
Experience with scientific computing libraries such as NumPy, SciPy, pandas, or similar tools.

Requirements:
Minimum Qualifications
5+ years of work experience.
Knowledge of the ASIC design timing closure flow and methodology.
At least 2+ years of experience in writing ASIC timing constraints and timing closure.
Expertise in STA tools (Primetime) and flow.
Knowledge of Timing corners/ modes.
Hands on experience in Timing / SDC constraints generation and management, proficient in scripting languages (Tcl and Perl) Familiarity with synthesis, DFT and backend related methodology and tools.

Preferred Qualifications
B.Sc / M.Sc in Electrical or Computer Engineering.

Requirements:
B.Sc. in Biomedical Engineering, Electrical Engineering, Physics, Computer Science, Biology or a related exact science discipline - Mandatory MBA, masters in engineering management, or equivalent business/management degree - Strong Advantage 5-7 years of proven experience in Product Management within medical device companies - mandatory. Direct experience in the medical aesthetics or Energy-Based Devices (EBD) sector (Laser, RF, Ultrasound) is highly preferred Hands-on proficiency with product roadmap and project management tools (e.g., Jira, Confluence, Product board) to effectively manage engineering capacity and roadmaps Proven experience leading international VOC initiatives, field research, and observing live clinical procedures to map out authentic user workflows Experience defining and monitoring product success metrics, post-launch KPIs, and analyzing product data or field performance data Definitive hand-on experience in authoring PRD & MRD definitions and strategic product lifecycle ownership. Strong track record working with multidisciplinary medical products (Laser, RF, Ultrasound EBDs highly preferred). Proven ability to translate clinical workflows as well as customer workflows into structured technical product requirements. Proven track record of managing complex development roadmaps and commercial prioritization.

Requirements:
* B.Sc. in Electrical Engineering, Mechanical Engineering, Biomedical Engineering, or Physics - Mandatory M.Sc. in Systems Engineering or a related technical discipline - Strong Advantage
* At least 5 years of proven managerial experience leading engineering teams - mandatory
* Proven background as a system Engineer / system Architecture - mandatory
* Direct hands-on experience with professional requirements lifecycle tools (e.g., DOORS, or specialized Jira architecture) to maintain strict medical device traceability
* Experience working on complex multidisciplinary systems (ideally energy-based devices utilizing Laser, RF, or Ultrasound) - required
* Experience in medical device companies or regulated environments - required
* Experience using simulation or modeling tools (e.g., MATLAB, Simulink) to conduct early-stage technical trade-off analyses and feasibility studies before physical integration
* Strong leadership and people management capabilities
* Deep, practical understanding of core systems engineering principles and methodologies
* Ability to see the big picture while maintaining meticulous attention to technical details
* Define and execute the system integration strategy, detailing the step-by-step bring-up plan for early prototypes combining hardware, software, mechanics and optics/energy subsystems
* Excellent cross-functional communication and stakeholder management skills
* Partner heavily with the V&V team lead to review system Requirements Specifications (SRS) for testability, ensuring a seamless handshake between system definition and final validation
* Strong problem-solving and analytical thinking
* Ability to operate in a fast-paced, matrix environment
* High level of ownership and execution

Requirements:
* At least 10 years of experience managing engineering teams, including managing managers- mandatory
* B.Sc. in Electrical Engineering, Mechanical Engineering, Biomedical Engineering
* M.Sc. in Systems Engineering or a related technical discipline - Strong Advantage
* Proven experience leading multidisciplinary teams (mechanics, electronics, NPI) - mandatory
* Relevant engineering background (mechanical or electrical engineering preferred)
* Experience in medical device companies - mandatory
*  Experience working in organizations with commercialized products and familiarity with real-world field issues
*  Strong understanding of medical device regulations and standards
*  Knowledge of quality processes and regulatory requirements
* Ability to lead, influence, and drive performance in a complex, matrixed environment
* Strategic thinking combined with hands-on execution capabilities
* Strong leadership with the ability to manage and develop managers
* Excellent interpersonal and cross-functional communication skills
* Results-driven with a strong sense of ownership
* Ability to thrive in a dynamic, fast-paced, multitasking environment

Requirements:
* 3+ years of hands-on experience in navigation algorithm development.
* B.Sc. or M.Sc. in Aerospace Engineering, Electrical Engineering, Mechanical Engineering, Computer Science, Applied Mathematics, Robotics, or a related field.
* Solid background in state estimation, filtering, optimization, and probabilistic modelling.
* Experience with inertial navigation, GNSS-based navigation, or multi-sensor fusion.
* Proficiency in MATLAB or similar tools.
* Experience implementing algorithms in simulation and Real-Time environments.
* Strong analytical, debugging, and problem-solving skills.
* Eligible for security clearance. Preferred Qualifications
* Ph.D. or advanced degree in a relevant field.
* Experience with autonomous systems, robotics, UAVs, or defense systems.
* Experience with Embedded implementation, Real-Time software, or hardware-in-the-loop testing.
* Knowledge of navigation performance metrics and sensor error modelling.