לוח משרות דרושים סטודנטים למדעי המחשב משרה מלאה, לחיפוש זה נמצאו 29 משרות

As a Software Engineer Intern in the MSC IL AI Innovation team, you will contribute to the design, development, testing, and delivery of AI-powered features and services for our Specialized Clouds organization. You will work with mentors and engineering team members to build reliable, secure, and responsible software, while learning modern AI engineering practices across prompts, retrieval, agents, evaluation, observability, and cloud-native development.

This internship is designed for entrepreneurial, creative, and highly motivated students who are passionate about building AI-native products, taking ownership in ambiguous 0 to 1 environments, and using AI throughout the engineering lifecycle to solve complex, high-impact problems in sovereign and regulated cloud environments.


Responsibilities
Develop, test, debug, and maintain software components for AI-powered products, services, or internal tools.

Contribute production-quality code that is maintainable, secure, performant, and aligned with team standards.

Partner with mentors, engineers, product managers, and stakeholders to understand user requirements and translate them into engineering tasks.

Contribute to AI features such as agents, tool/API integrations, prompt flows, retrieval workflows, evaluation harnesses, and monitoring capabilities.

Help define and run tests, evaluations, and quality checks for AI behavior, including accuracy, relevance, groundedness, and reliability.

Investigate issues using logs, traces, test results, and debugging tools, and incorporate feedback into improved solutions.

Learn and apply engineering best practices across code quality, security, responsible AI, CI/CD, documentation, and observability.

Document work clearly and share implementation details with team members to support continuity and knowledge sharing.

Collaborate effectively with team members in a dynamic, ambiguous environment; adapt quickly across technologies, stacks, and engineering tasks; proactively seek and incorporate feedback; and contribute to shared goals while building technical depth.

We are looking for a student to join our WIFI Software team, developing and implementing meaningful advanced cross layer networking for our next generation WIFI products.

The Nitro SW team is seeking an Embedded Engineering Intern to help build the next generation of Nitro. In this role, you'll design, develop, deploy, and maintain key firmware components while monitoring and supporting their performance. You'll solve complex technical problems and contribute to infrastructure that supports millions of customers around the globe. This is an opportunity to work on the technologies behind the world's largest cloud provider in a fast-moving, high-energy environment.

we a company of inventors that unlocked 5G - ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in.

We are looking for a research intern to join us for a research project aimed at publication at a top-tier venue. The intern will design and develop novel systems that explore the interaction between human pose understanding and vision-language models (VLMs), advancing how these modalities can be combined to reason about human motion, activity, and embodied behavior across images and video.

Our group develops hand and body pose tracking algorithms for our various devices and applications. One such example includes the hand tracking input for the Vision Pro.

Responsibilities
Design and implement novel methods that integrate pose representations with vision-language models, targeting established academic benchmarks.
Collaborate with researchers and engineers on the team to produce a publication-ready contribution.
Benchmark against established evaluation suites and iterate toward state-of-the-art results.