לוח משרות דרושים חשמל ואלקטרוניקה

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:
Bachelors degree in Electronics Engineering.
Over two years of experience in hardware testing in a lab environment.
Extensive experience using test equipment and conducting hardware tests at both circuit and system levels.
Experience in AI tool development- advantage
Experience in software development and automation scripting- advantage
Development experience in the LABVIEW environment- advantage
Creative and original thinking, initiative, resourcefulness, and motivation.
Strong ability to self-learn new domains and technologies within the division and industry.
Ability to work continuously in front of a computer.

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.