לוח משרות דרושים סטודנטים - מדעי המחשב משרה חלקית

As a Monitor Specialist, you will be responsible for:
Responding to events and various technical problems in real-time.
Proactively identifying and mitigating potential issues before they become critical problems.
Troubleshooting and investigating production issues in our services.
Handling issues until resolution with Devops, DBA and R&D teams.
Monitoring and liaising activities of the production environment, network, business transactions reports.
Direct communication with worldwide partners.

We are seeking a talented, self-driven and passionate Data Science student to join our R&D team and take a meaningful part in overcoming the companys challenges while maintaining a professional work methodology. The ideal candidate combines strong quantitative skills with solid software engineering practices, and is capable of independently leading end to end data projects, from data preparation to model development and deployment, while also collaborating effectively within a team.

What Youll Do:
Interact with complex real-world physical data from different types (spatio-temporal, geo-data, sensors).
Evaluate model accuracy, diagnose and analyse errors, and communicate results with clear metrics and visualizations.
Train, optimize and deploy AI models for predicting physical quantities (e.g. wind speed) from spatiotemporal sensor data.
Develop Tools for data processing, analysis, and visualization.
Production‑Grade Engineering Write, test, and maintain reliable code that operates 24/7 in production and integrates seamlessly with utility systems.
Work in a dynamic environment of short life cycle research and development.
Support and troubleshoot live ML pipelines monitor production models, investigate anomalies, retrain and redeploy when needed, and keep accuracy high.
Collaborate with customer-facing teams to tailor models and features to customer-specific data, quickly resolving field issues and delivering real-world value.

· Assist in the design and development of electronic boards and sub-systems · Building and Integrating Prototypes, calibrate and test them o Verify that the related documentation is correct and adequate- in case this documentation was provided o Assist in writing such documentation – in case of prototypes · Support verification and integration processes of electrical Circuits/sub-systems · Collaborate with multidisciplinary engineering teams o Participate in testing activities, analyze results, and document findings

The System V&V team ensures our complex hardware-software products meet their intended requirements and function correctly before release. Our work plays a crucial role in ensuring quality assurance and mitigating risk with a strong focus on automation, data-driven insights, and cross-functional collaboration with development and hardware teams.

We are seeking a motivated and hands-on student to join our System Verification and Validation (V&V) team. In this role, youll gain real-world experience working on multidisciplinary projects involving hardware, embedded systems, and software validation.

You will help design and execute tests, automate validation flows, and work with real lab equipment and infrastructure- with opportunities to explore AI-based testing tools, if you're interested.

Roles and Responsibilities:
Test implementation: development of test cases based on system requirements & test plan, based on internal infrastructure.
Failure Analysis: Debugging issues on our product and identifying the root cause.
Test execution: report test results, providing clear and detailed feedback to the development team.

You will be taking part in developing the heart of the SW in our products You will have experience in software development Python & C / C ++.
Examine full development of the project, including DevOps processes Experience in working with hardware/ Embedded systems (eg. Raspberry pi, Arduino).
Communicative, self-motivated, and self-learning.
Working according to our Quality Policy, relevant Quality Procedures & Standards, and privacy & safety rules.
Work in an Agile environment Be part of developing for a top medical company with a high impact on people's daily life

Key Responsibilities:
data Collection: Gather and organize data from various Storage locations using tools such as Excel and Python scripting to support AI and data management projects.
May include also development of Python code for automatic data collection.
Annotate Medical Images: Mark and label medical images for AI training, ensuring accuracy and consistency.
valuate Model Results: Visually and empirically assess AI model and other computer vision algorithms outputs, providing feedback and scoring to improve model performance.
Assist in DL tasks: participate in the flow of DL tasks including data preparation, model definition, training and evaluations.
* Working according to Insightec Quality Policy, relevant Quality Procedures & Standards, and privacy & safety rules.

Are you passionate about quantum computing and eager to work on cutting-edge research with real-world impact?
Join us as a Student Researcher in a newly formed team dedicated to tackling one of the most exciting challenges in quantum science: achieving quantum advantage.
You will be part of a pioneering team with access to most advanced quantum hardware, including the worlds largest quantum computer. Our mission is to explore and solve real-world problems where quantum computing can offer a clear advantage over classical methods.
Research areas may include:
Quantum simulation of molecular structures and properties
Identifying and formulating problems that can demonstrate quantum advantage
Benchmarking quantum solutions against strong classical approaches to rigorously validate any claimed quantum advantage
Location: Research Israel (Tel Aviv)
Option 1: Full-time for 3 at least months
Option 2: Part-time (23 days/week) for at least 1 year

We are looking for a Mobile QA Engineer (Student).
Job Description:
Coordinate with development teams to fix bugs and improve usability
Help analyze and solve complicated support tickets and production incidents
Manage and execute manual tests.
Keep up with the pace of a high-speed development process, and execute and adjust your test plans accordingly.
Measure and monitor production quality and push the development teams to fix the prioritized bugs.
Think like a Wix mobile user and ensure all scenarios are covered, manually and automatically.
This is a part-time student position, and youll be expected to work at least 3 days a week, 80 hours a month. Were flexible during exam periods.

Were looking for talented students pursuing a degree in Computer Science or related fields, who are passionate about supercharging their software engineering skills. Our scale is unparalleled: our systems process 8+ million requests per second and 250+ TB of data per day! If youre looking to get real-world experience solving unique technical challenges at massive scale, and doing so with an amazing team by your side, weve got you covered.
What can you expect?
Become a part of a small and independent team of experienced engineers.
End-to-end ownership of a specific research project and performing individual research (under the mentorship of our experienced data scientists).
Dont just write code - solve real problems! Collaborate with product managers, engineers and others from the earliest stages of your project to create real impact.
Working closely with our data scientists and software engineers to epand and enhance our data pipelines and infrastructure.
Gain experience with the most widely used, industry-standard tech: languages you might end up using include Golang, Java, Python, Javascript and more, depending on your project and the team you will join.
Learn modern software development practices: code reviews, technical specs, design reviews, postmortems, automated testing and more
Deploy your code to thousands of production servers several times a day with a single click through our state-of-the-art continuous integration tooling!
Grow your skills & share your learnings with others through internal tech talks and knowledge sharing sessions!