לוח משרות דרושים שרונה, לחיפוש זה נמצאו 7,123 משרות

Requirements:
B.Sc. in Computer Science, Engineering, or a related field (or equivalent experience).
5 + years of experience in software development (Backend focused), with a strong emphasis on system architecture.
2+ years of experience leading engineering teams, mentoring developers, and managing end-to-end project lifecycles in production environments
Strong background in building large-scale, high-performance systems and designing distributed microservices.
Experience with data pipelines and big data infrastructure (familiarity with tools like Spark, Airflow, or Snowflake is a plus).
Hands-on experience with Java or Kotlin in production, and familiarity with Cloud technologies (AWS).
Ability to collaborate and communicate effectively across teams (Engineers, Product, Legal) and with senior leadership.
Passion for compliance, data accuracy, and impactful results. Solution-oriented mindset with a proactive approach to problem-solving.
Adaptability to thrive in a fast-paced, dynamic environment.
Proficiency in written and spoken English.
Experience with AI tools and a strong interest in continuously exploring and applying them in everyday work are highly valued.
Advantage:
Strong proficiency in Kotlin.
Experience with Event-Driven Architecture and Kafka.
Domain Expertise: Background in Fintech, Banking, or Regulation/Compliance environments.
Data Tools: Experience with specific data engineering tools like Snowflake, Spark, or DBT.

Requirements:
B.Sc. in Mechanical Engineering with at least 5+ years of experience in robotics/automation field.

Demonstrated experience in the design of robotic mechanisms incorporating motors, sensors, bearing systems, and high-precision components.

Experience in medical device development - advantage.

Strong proficiency in SolidWorks, including complex assemblies and detailed drawings.

Experience performing finite element analysis (FEA).

Experience working with PLM systems and ECO/ECN processes.

Familiarity with Design for Manufacturing (DFM) principles - advantage.

Strong technical problem-solving and analytical capabilities.

Ability to manage multiple priorities in a dynamic development environment.

Excellent communication and interpersonal skills.

Requirements:
* At least four years of experience in multidisciplinary R&D mechanical design – a must.
* Experience in a medical device company – advantaged
* Experience with the following manufacturing methods and working with subcontractors – a must:
* Machining (turning, milling, etc.).
* Sheet metal fabrication (bending, laser cutting, etc.).
* Experience in design for mass production – advantaged.
* Experience in designing moving mechanisms, optomechanical assemblies, plastic injection molded parts, and heat exchange systems – advantaged.
* Experience in producing detailed part and assembly drawings and supporting transfer to production – a must.
*  Experience with EPDM materials and applications – advantaged.
* Experience working with surface modeling (SolidWorks surfaces) – advantaged
* Mechanical Engineering degree – a must.
* Proficiency in SolidWorks – a must.
* Strong analytical, problem-solving, and decision-making skills.
* 4High responsibility, initiative, and proactive approach.

Requirements:
Advanced degree (Masters or PhD) in Computer Science, Electrical Engineering, Mechanical Engineering, Mathematics, or a related field.
5+ years of experience in algorithm development, with a strong track record in classical computer vision, image processing, and 3D/geometric computer vision.
Hands-on experience developing camera-based computer vision algorithms, including areas such as camera calibration, SLAM, visual odometry, 3D vision, pose estimation, or related geometric vision techniques.
Hands-on experience in the full development lifecycle - from concept and algorithm design through implementation, testing, optimization, integration, and deployment.
Solid mathematical foundation, with a strong understanding of geometry and its application to computer vision problems.
Proficiency in Python and/or C++.
Experience in robotics, control systems, autonomous navigation, sensor fusion, or medical devices - an advantage.
Experience with Deep Learning and modern learning-based computer vision methods - an advantage.
Experience with validation of algorithm solutions for medical devices - an advantage.
Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.

Requirements:
Minimum Qualifications:

Knowledge and experience in high-speed interfaces, such as PCIe, Storage, Networking, Automotive interfaces

Several years of experience in ASIC design and development

Familiarity with VLSI and system-on-a-chip principles, operation, and internals

Preferred Qualifications:

Advantage to experience with ARM based SoC Real-time systems, SW architecture, and SW Drivers, Advantage to Linux and Android

Participation in standards organizations and contributing to published specifications

Good communication skills across engineering disciplines, both verbally and in writing in Hebrew and English

Education Requirements Required:

Bachelor's, Electrical Engineering, or equivalent experience

Preferred: Master's, Electrical Engineering, or equivalent experience

Minimum Qualifications:

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.

Minimum Qualifications:

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.