לוח משרות דרושים סטודנטים למדעי המחשב, לחיפוש זה נמצאו 67 משרות

The industry leader in the web data domain, is looking for students for a part-time Deploy position!
The position is part-time, in shifts that include nights and weekends.
Responsibilities
Monitor and support company servers in Linux
Release new features and updates on the server
QA (manual).

The Nitro core software team develops solutions for the Nitro System-on-Chip (SoC). As a part of our team, you will design, implement, and maintain CI/CD pipelines and automated testing infrastructure for Nitro core software. You will develop and optimize continuous integration and delivery workflows using frameworks such as Jenkins and internal CI/CD pipelines, ensuring reliable and efficient build, test, and deployment processes.

Key job responsibilities
The role includes:
CI/CD Infrastructure Development - Building, maintaining, and improving automated testing pipelines using Jenkins, internal CI/CD frameworks, and related DevOps tooling to enable fast, reliable, and repeatable test execution.
Test Automation Engineering - Developing test scripts, frameworks, and automation solutions for Nitro embedded systems, applying software testing methodologies to ensure quality at scale.
Debugging & Root Cause Analysis - Diving deep into failures across the CI/CD pipeline and embedded software stack, performing systematic debugging, log analysis, and root cause investigation to resolve complex issues and improve system reliability.
Infrastructure as Code - Managing test environments, build configurations, and deployment automation using scripting and DevOps best practices.
Collaboration - Working directly with Nitro core software teams, participating in code reviews, incident triage, and troubleshooting activities to continuously improve development velocity and product quality.
AI-Assisted Development - Leveraging AI-based tools and assistants (e.g., Amazon Q, Copilot, LLM-based analysis) to accelerate test development, failure triage, and code generation workflows.
This role offers hands-on experience in DevOps engineering and test infrastructure for embedded systems, allowing you to apply academic knowledge to practical, production-scale projects. This position provides an excellent opportunity to gain industry experience in CI/CD practices, enhance technical and operational skills, and build a foundation for a career in DevOps, embedded systems testing, and infrastructure engineering.

We are looking to hire Embedded Software Engineering Students to join the SW group and take a major part in redefining the future of our cloud.

The Graviton SW team is looking for an Embedded Engineering Intern to join us in building next generation platforms. At the platforms team, you'll work on large and complex boards, helping bring our Silicon devices into our fleet. You'll have the opportunity to learn about next gen platforms and contribute to the technologies that power the world's largest Cloud provider.

Were searching for sharp engineers to lead cutting edge products, re:inventing super computers and deploy our new SRD (Scalable Reliable Datagram) network protocol into the largest public cloud on the planet! starting from the identification and definition of project requirement, defining SW and HW interfaces, feature development and deployment, to operation support on a very large scale.

DRS RADA is a leading defense product company specializing in the development of radar systems. For the project of real time AI Inference platform in the IOT domain, we are seeking a student in Computer Science for a part-time position as a Student Software Engineer. The role includes:
*  Assisting in designing and contributing clean, scalable and maintainable code
* Developing Restful APIs for various platform components
* Writing automation tests for retroactive data processing
* Working with relational/non relational databases
* Unit & Integration testing, find and debug issues relating to system performance / reliability / functionality
* Contributing to technical documentation for the project

We are hiring a QA Engineer Student to join our team.
Reporting to: QA Team Leader
Location: Petah Tikva, Israel
Direct employment
Responsibilities:
Demo is our number one tool for sales to showcase portfolio, by reflecting our solution to our customers.
In this position you will have to work closely with the product management in each release to add / update any new capabilities.
Managing the demo development environments
Creating demo scenarios and data
Regression testing of the existing capabilities
Fixing demo issues
Act as the focal point for any technical matter coming from the field
Designing, setting up, and maintaining demo environments and network topologies according to product requirements and use case

We are looking for a talented and security-minded Full Stack Student Developer to join our R&D team.
In this role, you will help build and maintain the applications that interface with our world-leading Unidirectional Security Gateways, ensuring high performance, stability, and top-tier security for critical infrastructure environments.

The Imaging and Sensing group develops Depth and Image Sensing systems, including the groundbreaking True Depth camera that powers FaceID and the recently released LiDAR scanner.
This multidisciplinary team of ground breaking engineers is responsible for the architecture, design, development, and validation of these highly complex sensing systems, tailored for our products.

We are looking for a student position to join our caSystem Validation team to collaborate on advanced electro-optical system development.


Contribute to a core technology team designing, developing, and validating advanced solutions for our future products.

Conduct characterization, test, and validation aspects of our cutting-edge sensing systems, spanning from early lab prototypes to complete system maturity.

Design and implement complex lab-based experiments, followed by thorough analysis supported by simulations.

Develop and execute lab automation for products evaluation.

Conduct data-driven analysis to support decision-making processes.