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25/10/2026
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1 ימים
דרושים במיטרוניקס
Job Type: Full Time and Hybrid work
What You'll Do

Develop and maintain Embedded software in C / C ++ for MCU and Embedded Linux environments
Design and implement robotic logic, state machines, and motion-control functionality
Build robust communication infrastructure between microcontrollers and Linux -based systems
Perform system integration, debugging, and troubleshooting on real hardware platforms
Collaborate closely with Hardware, system Engineering, and I
Requirements:
B.Sc. in Computer Science, Computer Engineering, Electrical Engineering, or related field
3-5 years of hands-on Embedded Software development experience
Strong proficiency in C and C ++
Experience with STM32, ESP32, Cortex-M, RTOS and/or Embedded Linux
Ability to quickly understand complex systems and become productive in existing codebases
Strong ownership, problem-solving skills, and commitment to engineering excellence
Excellent teamwork and communication skills

Nice to Have

Experience with ROS / ROS2
Knowledge of CAN, UART, SPI, I2C protocols
Experience with debugging tools such as GDB, Wireshark, Candump
Python scripting for automation and testi
This position is open to all candidates.
 
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8871388
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משרה בלעדית
1 ימים
דרושים בריקרוטיקס בע"מ
Job Type: Full Time and Hybrid work
A well-funded startup focused on undersea applications - sensing and autonomous underwater vehicles (AUVs).
We are a small, focused team working from the ground up on a proven, IP-protected concept, tackling complex and fascinating technological challenges across robotics, optics, acoustics, mechanics, and software.
The Role We are looking for a software engineer to join our Robotics & Autonomy team and help build the software that lets our autonomous underwater vehicles (AUVs) actually operate at sea - from mission planning all the way down to Real-Time navigation and control.
This is a hands-on role at the core of the autonomy stack.
You will design and build software in simulation, then take it out to real pool and sea trials to see how it holds up against the unpredictability of the ocean - tuning, debugging, and hardening the system as you go.
Requirements:
Experience developing software for robotics or autonomous systems.
Proficiency with ROS / ROS 2.
Experience with C ++ and/or Python on Linux.
Understanding of navigation, mapping, or control.
Experience with Git or a similar version control system.
Willingness to work on-site to support field and sea testing Additional Advantages.
Specific AUV / UUV experience.
Background in drones or other autonomous vehicles.
Experience with signal processing from cameras, sonar, or LIDAR Ideal Candidate Profile.
This position is open to all candidates.
 
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8889885
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14/10/2026
Location: Haifa
Job Type: Full Time
We are seeking an experienced Senior Real-Time Embedded Software Engineer to join our core engineering team and develop advanced software for high-performance, mission-critical embedded systems.

Key Responsibilities
Own tasks, infrastructure, and subsystems end-to-end, from requirements analysis and system modeling through design, implementation, testing, integration, and deployment.
Design, implement, integrate, and optimize real-time software for MCU-based platforms.
Translate system-level requirements into robust and efficient software solutions.
Lead software integration and validation on target platforms, including troubleshooting and system bring-up.
Contribute to the development and improvement of software infrastructure and platform-level capabilities.
Work closely with Hardware, Algorithms, and System Engineering teams within a multidisciplinary R&D environment.
Collaborate with relevant stakeholders to drive tasks and projects forward efficiently.
Requirements:
Requirements
B.Sc. in Computer Science, Electrical Engineering, or equivalent relevant experience.
5+ years of hands-on experience developing embedded software in Modern C++.
Proven experience developing real-time software using RTOS and/or Bare-Metal on MCU-based platforms.
Strong understanding of real-time software design principles, multitasking, synchronization, interrupt-driven programming, memory management, and deterministic systems.
Experience with low-level hardware bring-up, device drivers, and embedded communication protocols such as UART, SPI, I²C, CAN, Ethernet, or USB.
Strong debugging and root-cause analysis skills using embedded development and lab tools.
Excellent analytical and problem-solving skills with a strong technical mindset and attention to software quality.
Ability to work independently while taking ownership of complex technical challenges.
Strong communication and collaboration skills, with the ability to work effectively in multidisciplinary teams.
Team player with a proactive, can-do attitude and a passion for engineering excellence.

Advantages
Experience developing software on Linux-based systems.
Experience designing scalable, modular real-time software architectures.
Background in the Defense, Aerospace, Autonomous Systems, or UAV/Drone industry.
Experience with sensor integration, navigation, control systems, communication stacks, or mission-critical embedded applications.
Familiarity with Git, CI/CD pipelines, automated testing, and modern software development practices.
This position is open to all candidates.
 
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עדכון קורות החיים לפני שליחה
8857047
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Location: Herzliya and Haifa
Job Type: Full Time
We are seeking an experienced Signal/Image Processing and Machine Learning engineer to join our team. The role focuses on developing innovative, real-time deep learning and signal processing solutions for new sensing and imaging systems, including video restoration. You will be part of an interdisciplinary team developing technologies that will shape future Apple products.
Description
Algorithm and model development:
- Design, implement, and optimize signal processing and machine learning models for sensing and imaging tasks, including video restoration.
- Develop and validate models using real sensor data, simulated data, and public datasets.
- Prepare, filter, process, and analyze large-scale datasets to train and evaluate models.
- Analyze your algorithm's results and benchmark them against leading methods, and theoretical bounds.
- Optimize models for real-time performance, low latency, and resource efficiency on-device.

Sensing and research:
- Develop algorithms that combine classical signal processing with learned models to extract robust information from sensor data.
- Investigate efficient architecture patterns (lightweight backbones, attention mechanisms, recurrent designs) suitable for real-time, on-device inference.
- Explore how algorithmic approaches can mitigate artifacts and limitations of new sensing and imaging systems.
- Stay current with recent advances in signal processing, computer vision, and machine learning.

Collaboration and technical leadership:
- Work closely with ML researchers, SW, HW, sensor, and architecture engineers to translate research ideas into robust models and practical, shipping systems.
- Provide technical guidance and mentorship to junior engineers, and help shape the team's technical direction.

Responsibilities
- Own the end-to-end development of real-time algorithms, from concept and prototyping through validation and deployment.
- Define evaluation methodology, metrics, and failure analysis processes for sensing and imaging algorithms.
- Drive trade-off decisions among accuracy, latency, power, and memory across algorithm, HW, and system constraints.
Requirements:
Minimum Qualifications
Strong foundation in signal processing, image processing, computer vision, machine learning, and deep learning.
Hands-on experience with sensing technologies (e.g., camera/image sensors, depth, radar, LiDAR, IMU, or other sensor modalities), including an understanding of sensor noise models and characteristics.
Demonstrated experience designing and deploying real-time deep learning and signal processing solutions using large-scale datasets.
Proficiency in Python and deep learning frameworks (e.g., PyTorch); experience with C++ or other performance-oriented languages is a plus.
Experience with model evaluation, debugging, experimental analysis, and failure analysis.
PhD or Master's degree in Electrical Engineering, Computer Science, or a related research field.
Proficient in written and verbal communication.
Ability to work both autonomously and collaboratively.
8+ years of relevant experience.

Preferred Qualifications
Experience deploying models on GPU, dedicated HW, or neural engines, including quantization, pruning, and other model compression techniques.
Experience with multi-sensor fusion, sensor calibration, or temporal/streaming signal processing.
Experience with generative priors (diffusion, flow matching) is an advantage.
Background in signal processing, physics, optics, lasers is a plus.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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עדכון קורות החיים לפני שליחה
8877020
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
Location: Herzliya and Haifa
Job Type: Full Time
We are seeking an experienced Signal/Image Processing and Machine Learning engineer to join our team. The role focuses on developing innovative, real-time deep learning and signal processing solutions for new sensing and imaging systems, including video restoration. You will be part of an interdisciplinary team developing technologies that will shape future Apple products.
Description
Algorithm and model development:
- Design, implement, and optimize signal processing and machine learning models for sensing and imaging tasks, including video restoration.
- Develop and validate models using real sensor data, simulated data, and public datasets.
- Prepare, filter, process, and analyze large-scale datasets to train and evaluate models.
- Analyze your algorithm's results and benchmark them against leading methods, and theoretical bounds.
- Optimize models for real-time performance, low latency, and resource efficiency on-device.

Sensing and research:
- Develop algorithms that combine classical signal processing with learned models to extract robust information from sensor data.
- Investigate efficient architecture patterns (lightweight backbones, attention mechanisms, recurrent designs) suitable for real-time, on-device inference.
- Explore how algorithmic approaches can mitigate artifacts and limitations of new sensing and imaging systems.
- Stay current with recent advances in signal processing, computer vision, and machine learning.

Collaboration and technical leadership:
- Work closely with ML researchers, SW, HW, sensor, and architecture engineers to translate research ideas into robust models and practical, shipping systems.
- Provide technical guidance and mentorship to junior engineers, and help shape the team's technical direction.

Responsibilities
- Own the end-to-end development of real-time algorithms, from concept and prototyping through validation and deployment.
- Define evaluation methodology, metrics, and failure analysis processes for sensing and imaging algorithms.
- Drive trade-off decisions among accuracy, latency, power, and memory across algorithm, HW, and system constraints.
Requirements:
Minimum Qualifications
Strong foundation in signal processing, image processing, computer vision, machine learning, and deep learning.
Hands-on experience with sensing technologies (e.g., camera/image sensors, depth, radar, LiDAR, IMU, or other sensor modalities), including an understanding of sensor noise models and characteristics.
Demonstrated experience designing and deploying real-time deep learning and signal processing solutions using large-scale datasets.
Proficiency in Python and deep learning frameworks (e.g., PyTorch); experience with C++ or other performance-oriented languages is a plus.
Experience with model evaluation, debugging, experimental analysis, and failure analysis.
PhD or Master's degree in Electrical Engineering, Computer Science, or a related research field.
Proficient in written and verbal communication.
Ability to work both autonomously and collaboratively.
8+ years of relevant experience.

Preferred Qualifications
Experience deploying models on GPU, dedicated HW, or neural engines, including quantization, pruning, and other model compression techniques.
Experience with multi-sensor fusion, sensor calibration, or temporal/streaming signal processing.
Experience with generative priors (diffusion, flow matching) is an advantage.
Background in signal processing, physics, optics, lasers is a plus.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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עדכון קורות החיים לפני שליחה
8877032
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13/10/2026
חברה חסויה
Location: Haifa
Job Type: Full Time
This is a unique opportunity to join a company at a pivotal growth stage and help shape its products, culture, and future.

DART is an autonomous counter-drone system: a standalone system and a radar-cued ground station launch small interceptor drones that acquire an airborne target with a thermal seeker and defeat it by direct impact. The interceptor is built on a COTS high-agility racer platform, with Betaflight closing the inner rate loop and a mission computer running perception and outer-loop guidance.

You will own the two disciplines that determine whether the interceptor actually hits: guidance and control law design, and the simulation environment used to develop, validate, and regression-test those laws before anything flies. This is a hands-on leadership role - you are expected to write and tune code, sit in front of flight logs, and stand in the field on test days, while also setting technical direction for a small team.

Key Responsibilities
Own outer-loop guidance (image-based thermal aim, pursuit/proportional-navigation, latency-compensated LOS, and throttle management) and manage end-to-end latency and stability budgets.
Implement and tune controllers (from PID/PI to adaptive/MPC), define flight controller interfaces (MSP/CRSF/SBUS injection), and govern the flight-mode state machine, failsafes, and safety envelope.
Deliver the 6-DOF simulation product (interceptor/target dynamics, thermal seeker), maintain SIL/HIL rigs for unmodified production code, validate models against flight data, and run automated regression suites and KPIs.
Lead and mentor the control and simulation team, set test-progression gates (sim to full-envelope flight), collaborate closely with Vision and Systems Engineering, and produce all required technical artifacts.
Requirements:
B.Sc. in Aerospace, Electrical, Mechanical Engineering, or Applied Math/Physics.
5+ years designing and flight-proving guidance, navigation, or control systems on real hardware - not simulation-only experience.
Strong practical control theory: state-space and classical design, stability margins, discrete-time implementation, cascaded loop architecture, and the failure modes of each.
Demonstrated experience with state estimation (Kalman/EKF) and sensor fusion.
Strong Python; C/C++ for real-time or embedded targets.
Hands-on experience building or heavily extending a physics-based simulation (PyBullet, Gazebo, MuJoCo, Simulink, or in-house) and validating it against measured data.
Multirotor experience: flight dynamics, PX4/ArduPilot/Betaflight, tuning, and reading flight logs to diagnose control problems.
Comfortable owning safety-critical decisions on a fast, dangerous airframe, and saying "not yet" when the data doesn't support the next test.
This position is open to all candidates.
 
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8855363
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חברה חסויה
Location: Haifa
Job Type: Full Time
We are seeking an experienced Senior Software Engineer to join our team in Haifa. The role focuses on designing and developing high-quality, performance-critical software in modern C++ for complex healthcare systems. The ideal candidate brings strong hands-on C++ expertise, solid software engineering fundamentals, and the ability to work effectively across software, hardware, product, and verification teams. Experience in embedded or hardware-integrated systems is a strong advantage.
Job Description
Responsibilities
Design, develop, and maintain robust software components in modern C++.
Own features and technical tasks from requirements and design through implementation, integration, testing, and release.
Participate in software architecture, technical design discussions, and code reviews.
Develop reliable multithreaded and performance-sensitive software.
Investigate complex software and system issues, identify root causes, and implement sustainable solutions.
Integrate software with hardware, devices, algorithms, and other system components.
Write clean, maintainable, testable, and well-documented code.
Collaborate with cross-functional teams, including system engineering, AI/algorithm, product, and verification.
Mentor engineers and contribute to engineering practices and knowledge sharing.
Requirements:
B.Sc. or M.Sc. in Computer Science, Software Engineering, Electrical Engineering, or a related field, or equivalent relevant experience.
5+ years of hands-on software development experience, with strong expertise in C++.
Strong understanding of object-oriented design, software architecture, design patterns, and clean-code principles.
Experience developing multithreaded applications and troubleshooting concurrency issues.
Experience with performance analysis, debugging, and optimization of complex software systems.
Experience with unit testing, code reviews, source control, and standard software development practices.
Excellent analytical and problem-solving skills, with strong attention to quality and detail.
Strong communication skills and demonstrated ability to work effectively in a collaborative environment.
Bonus Skills
Hands-on experience in embedded software, real-time systems, or hardware-integrated products.
Experience with hardware/software interfaces, device communication, drivers, or low-level system components.
Experience working in Windows development environments and with Visual Studio.
Experience with C# in desktop, tooling, or system-level applications.
Knowledge of operating-system concepts, networking, inter-process communication, or Windows internals.
Experience with CI/CD pipelines, automated testing, and modern development workflows.
Experience working in Agile environments such as Scrum or Kanban.
Experience in medical devices, healthcare software, medical imaging, or regulated development environments.
Familiarity with medical standards or protocols such as DICOM or HL7.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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8857577
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Location: Tel Aviv-Yafo and Haifa
Job Type: Full Time
Required Silicon Test and DFT Engineer, Cloud
About the job
In this role, youll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers our most demanding AI/ML applications. Youll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
Responsibilities
Collaborate with Architecture, Design and Verification teams to develop new product bring-up, validation, characterization, and qualification strategies and manufacturing test solutions for new High Performance Computing (HPC) products in advanced process technologies.
Verify test solutions on pre-silicon models (simulation or emulation) and develop Automated Test Equipment (ATE) test modules and binning flows.
Develop and validate test programs on Automated Test Equipment (ATE) platforms for new product integration (NPI) in preparation for high-volume manufacturing (HVM), working with ATE vendors and internal cross-functional teams.
Manage product sustainment support, including analyzing volume data, improving test time and yield, assessing test escapees and return merchandise authorizations (RMAs), localizing failures, implementing containment measures, and partnering with design, manufacturing, and quality and reliability teams to identify root causes and implement corrective actions.
Build tools, flows and methodologies to continuously improve and automate the testing life-cycle.
Requirements:
Minimum qualifications:
Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
10 years of experience in test engineering.
Experience in pre-silicon validation, test content generation, automatic test equipment (ATE) program development, and post-silicon enabling from new product introduction (NPI) through high-volume manufacturing.
Experience with ASIC test methodologies (MBIST, ATPG, DFT, SerDes, and sensors).
Experience with Python, Java, C# or C/C++ and Advantest or Teradyne ATE platforms.
Preferred qualifications:
Masters in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
10 years of experience in test engineering, including product engineering.
Experience with CPU/GPU SoC architecture, design, validation and debug.
Experience in advanced testing methodologies and data analysis, including system to tester correlation, yield and test time analysis and improvement, etc.
Demonstrated expertise in developing automations for pre-silicon verification and post-silicon test-generation/test-program domains.
Inquisitive and motivated to venture into, and improve, all aspects of post-silicon testing from definition to realization.
This position is open to all candidates.
 
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8843764
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Location: Yokne'Am Illit
Job Type: Full Time
We are pioneering the future of medical diagnostics with our innovative capsule endoscopy solutions. Imagine a world where diagnosing gastrointestinal conditions is as simple as swallowing a pill which captures with imagers and different sensors the digestive system and transmit it in real time. Our cutting-edge technology not only makes this possible but also revolutionizes the patient experience, providing a non-invasive, accurate, and efficient diagnostic tool. We are seeking a dynamic and visionary Analog and RF engineer to join our dedicated team, driving the development and integration of our next-generation capsule endoscopy devices.
As a Senior Analog & RF Engineer specializing in capsule endoscopy development, you will play a key role in the design, development, and integration of the critical analog and RF communication path between the capsule, located inside the patients digestive system, and the external recorder worn by the patient.
You will be responsible for developing high-performance, low-power analog and RF solutions that enable reliable wireless communication, contributing directly to the performance and advancement of our next-generation medical devices.
In this critical role, you will collaborate closely with System Engineers, PCB design and Layout, Firmware Developers, Modem Algorithm Engineers, and Mechanical Design teams to develop and integrate advanced solutions across the system. You will work in a highly collaborative, open-minded environment that encourages new ideas, creativity, and innovation, contributing to cutting-edge medical technology that enhances patient care.
Primary responsibilities:
Own and drive the Analog & RF communication path from architecture definition through detailed design.
Work closely with leading semiconductor suppliers and technology partners on a system on Chip definition, development, and integration of custom IC/ASIC solutions, contributing to system architectural decisions and ensuring alignment with system-level requirements.
Research, evaluate, and define communication receiver and transmitter architectures, including Zero-IF, Low-IF/NZ-IF, Superheterodyne, and other relevant architectures, based on system requirements and product constraints.
Perform system-level RF and Analog analysis, including noise budget, link budget, dynamic range, sensitivity, linearity, distortion, interference, and overall communication-channel performance.
Develop simulation models and methodologies to evaluate communication-channel performance and validate architectural and design decisions prior to hardware implementation.
Design and specify the Analog transmitter and receiver signal paths, including filtering, amplification, gain stages, matching networks.
Analyse and optimize antenna design and RF performance, including antenna matching, efficiency, radiation characteristics, impedance, and interaction with the capsule and surrounding biological environment.
Drive a system on chip designs from proof-of-concept and laboratory prototypes into production-ready medical devices.
דרישות:
BSc \ MSc in Electrical Engineering.
7+ years of hands-on experience in very Low power Analog and RF engineering, preferably in wireless communication systems, RFICs, or mixed-signal systems; Familiarity with SoC/mixed-signal architecture, including considerations for integrating analog, RF, digital, and power-management functions.
Strong understanding of RF and analog communication architectures, including Zero-IF, Low-IF/NZ-IF, Superheterodyne, and related receiver/transmitter architectures; Proven experience with analog/RF transmitter and receiver design, including filters, amplifiers, LNAs, PAs, mixers, matching networks, and signal-conditioning circuits; Strong understanding of PCB-level RF implementation, including layout, grounding, shielding, power integrity, signal integrity, and RF isolation.
Preferred Qualifications:
Experience in writing design and technical specifications.#EN המשרה מיועדת לנשים ולגברים כאחד.
 
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Location: Haifa
Job Type: Full Time
we are a leading manufacturer of medical imaging devices. our companys Point of Care Ultrasound Algorithm team is looking for an experienced AI Algorithm Developer to take ownership of challenging imaging and guidance problems.
You will develop algorithms that connect physical imaging processes, clinical needs, and product behavior. The role combines hands-on algorithm development with independent technical judgment, close collaboration across disciplines, and responsibility for delivering reliable results.
We are looking for someone who wants to understand why a solution works, recognize where it fails, and take responsibility for improving it.
Job Description
Responsibilities
Independently own algorithm workstreams, from understanding the problem and defining the technical approach through implementation, evaluation, and integration.
Translate clinical and product needs into clear algorithm requirements, measurable success criteria, and practical development plans.
Develop solutions combining deep learning, computer vision, image processing, and mathematical modeling, selecting methods appropriate to the problem.
Understand how imaging physics, acquisition geometry, artifacts, and system constraints affect the data and algorithm behavior.
Define data and annotation requirements, design reproducible experiments, investigate failure cases, and use findings to guide improvements.
Work with software, imaging, clinical, and product teams to resolve dependencies and balance accuracy, robustness, latency, and computational requirements.
Use generative AI tools thoughtfully to accelerate research, coding, testing, and analysis, while verifying outputs and retaining responsibility for technical decisions and results.
Deliver maintainable code and clear technical documentation supporting integration, verification, and regulatory activities.
Requirements:
M.Sc. or Ph.D. in Electrical Engineering, Computer Science, Physics, Biomedical Engineering, Mathematics, or a related field, or equivalent relevant experience.
At least four years of hands-on experience developing computer vision or image-processing algorithms, including substantial experience with deep learning.
Strong Python programming skills and practical experience with PyTorch or an equivalent deep learning framework.
Strong mathematical foundations and demonstrated ability to reason about physical systems, measurement processes, and their implications for algorithm design.
Demonstrated ownership of a substantial technical problem, including defining the approach, making justified decisions, coordinating dependencies, and delivering results.
Experience designing experiments, evaluating performance, and distinguishing limitations arising from data, models, implementation, or the imaging system.
Ability to use generative AI tools effectively in technical work, critically assess their outputs, and explain and verify the resulting code and analysis.
Clear communication and the ability to work independently while engaging colleagues when their expertise or decisions are needed.
Advantages
Experience with ultrasound, medical imaging, computational imaging, or signal processing.
Experience with temporal modeling, tracking, 3D computer vision, or computational geometry.
Experience with C++, inference optimization, or deployment on systems with limited computational resources.
Experience taking algorithms from feasibility studies into integrated products.
This position is open to all candidates.
 
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עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
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