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Requirements:
We're looking for a Computer Vision software engineer with a passion for deep learning, real-world impact, and collaborative innovation.
Join a cutting-edge R&D team developing the next generation of vision-assisted surgical robotics for a global medical device leader. In This Role, You Will: Design and development of medical device software for existing and future complex
surgical robotic platforms
Implement system software and infrastructure with particular emphasis on Desktop
applications and machine vision systems
Computer vision algorithms implementations
Video or image handling including acquisition, processing, and display
Work in an agile global R&D team, interact with cross-functional departments
define requirements, design, and new features
Comply with regulatory requirements, including company design control procedures
Assist in document control and maintenance of design history files BSc in Computer Science or related engineering degree
5+ years of experience in developing high-performance code in C ++ for Windows platform
or rt systems
Strong understanding of OOP, multi-process, and multi-threading applications
Experience in the computer vision algorithms implementation
Deep understanding of the image processing principles
Experience with NVidia tools and SDKs is a strong advantage
Experience with video grabbing, processing, and display
Experience with DirectX or OpenGL
Proven experience with software performance optimizations
Work in a multidisciplinary environment of the surgical robotic system Experience in a global company
Experience in a medical device company
Preferred Qualifications
Experience with MatLab and Python code
Experience in implementation of ML based algorithms, pre/ post-processing
Experience in CUDA programming
Experience with OpenCV
Experience with GIT

Requirements:
Join a cutting-edge R&D team developing the next generation of vision-assisted surgical robotics for a global medical device leader. We're looking for a Senior Computer Vision Engineer with a passion for deep learning, real-world impact, and collaborative innovation. In This Role, You Will: Lead design and implementation of computer vision & deep learning models (e.g. CNNs, transformers) for scene understanding and human-object interaction
Work with multimodal data (video, sensor, medical imaging)
Research, experiment, and optimize algorithms for real-world surgical environments
Own end-to-end development: data prep, modeling, testing, validation, and integration
Collaborate in a multidisciplinary, agile R&D environment
You Bring: MSc or higher in CS/EE/Math/Physics (PhD a plus)
5+ years of hands-on experience in Computer Vision and ML
Strong skills in Python & C ++, TensorFlow or PyTorch
Experience with OpenCV, IPP, Linux, and modern ML toolkits
Background in video understanding, GNNs, or scene analysis is a plus
Excellent teamwork, ownership, and communication skills
Bonus Points For: Experience in medical devices
Familiarity with LMM/VLM frameworks (e.g., CLIP, Flamingo)

Requirements:
RFIC Design engineer (5619) Key Responsibilities: Design and develop RFIC and analog integrated circuits using advanced CMOS technologies (65nm, 130nm and below).
Perform detailed electromagnetic and RF simulations using tools such as ADS, CST, and Cadence.
Work closely with cross-functional development teams in hardware, system, and verification.
Participate in the design and layout of analog/ RF building blocks including LNAs, mixers, amplifiers, modulators, and more.
Apply advanced verification methodologies and contribute to product integration. Requirements: B.Sc. in Electrical Engineering mandatory
At least 3 years of experience in analog and RF IC design mandatory
Hands-on experience with RF design tools such as ADS, CST, Cadence mandatory
Strong background in CMOS circuit design (preferably 130nm/65nm)
Familiarity with simulation, layout, and validation methodologies
High level of English proficiency (spoken and written) Location: North district, Israel