לוח משרות דרושים סטודנטים למדעי המחשב משרה חלקית

We are looking for a motivated Student QA Engineer to join our Quality Assurance team. The role focuses primarily on manual testing across all existing software platforms that support the companys full product portfolio. You will work closely with software developers, product and QA automation specialists in an agile environment, contributing to high-quality, reliable products.



Responsibilities:

Perform manual testing on multiple software platforms
Execute test cases and write new cases using advanced QA tools and systems
Collaborate with the QA Automation to expand and improve automation test coverage
Participate in end-to-end and regression testing, including occasional work with hardware and real machines
Work closely with the software development team in short agile cycles
Report, track, and verify defects
Contribute to continuous improvement of QA processes and testing methodologies

We are looking for a
Cloud Monitoring Engineer
to join our growing team and ensure our systems and customer environments are always optimized, available, and secure. This role combines proactive monitoring with incident management and operational excellence to deliver outstanding results for our customers.
Responsibilities
Proactive Monitoring: Continuously monitor our companys and customers environments using tools such as Kibana, Grafana and other cloud monitoring solutions.
Investigate and respond to application, system, and network issues to ensure maximum service availability.
Identify and troubleshoot anomalies in production and staging environments powered by AWS, GCP, Azure, Kubernetes, Docker, and EKS/ECS.
Document and categorize incidents, reporting them accurately.
Collaborate with cross-functional teams (TS, R&D, Product) to address and resolve underlying issues.
Communicate changes, updates, and improvements effectively within the organization.
Develop and enhance monitoring methods, tools, and automation processes.
Stay updated on emerging technologies in cloud monitoring and security to ensure best-in-class solutions.

Imagine what you could build with Large Language Models and NLP.
The Algo ML team develops and integrates AI systems, including Large Language Models, Retrieval Augmented Generation systems, and intelligent agents, into our technologies and workflows.
We are looking for an outstanding student to help build state of the art NLP algorithms and AI applications for the Hardware Technologies group, from concept to launch. Youll partner closely with engineering stakeholders to shape the roadmap, deliver high quality solutions, and continuously improve them based on usage and feedback.
If you are excited about the intersection of LLMs, applied NLP, and intelligent systems, this role will both inspire and challenge you.


In this role, you will join a team of researchers and engineers developing AI systems and domain-specific Large Language Models for cutting-edge our products.
You will contribute across the research-to-product pipeline, from algorithmic exploration to prototype development and evaluation, and gain hands-on experience in building intelligent systems at scale.

Responsibilities:
Research and develop algorithms in the areas of NLP and Large Language Models.
Assist in building and evaluating AI systems such as RAG pipelines and intelligent agents.
Support the development of prototypes and demos for early feedback and iteration.
Collaborate with researchers and engineers across multiple teams and sites.
Develop tools and processes to analyze and evaluate model performance.
You will gain exposure to the full lifecycle of intelligent AI experiences, from early research ideas, through experimentation and validation, to product-ready systems used worldwide.

The Research Lab in Israel is seeking exceptional students to join our dynamic team to work on cutting-edge AI research for building the next-generation platform for AI and agents. Our team focuses on developing core technologies to enable building the next-generation platforms to support AI and agentic workloads. This includes:
Exploring how to optimize the AI platform stack and architecture to support the next-generation of AI-driven applications, including agentic workload and applications.
Developing methods leveraging AI paradigms to assist in inventing and evaluating new platform algorithms and solutions.
In this position you will:
Develop code for AI and Agents platform (e.g., in Python and GO)
Performing benchmarking and evaluation and gain expertise in platform evaluation
Gain hands-on experience with enterprise AI software stack, tools and platforms
Work in a global company gaining team and collaboration practices
This role offers a unique opportunity to deepen your knowledge and practical skills in AI solutions and platforms.

Were looking for fast learners with strong programming skills and a passion for applying and working with AI. Experience with AI and language models is a plus.

We are looking for a highly motivated PhD or MSc student to join our team for a summer internship focused on cost-efficient serving of large-scale AI inference workloads.The internship will explore advanced routing strategies and KV-cache-aware optimizations in distributed inference systems, with an emphasis on improving performance, scalability, and GPU cost efficiency.
What you will work on
Designing and evaluating routing algorithms to optimize inference latency, throughput, and cost
Investigating KV cache management strategies for large-scale, distributed inference serving
Prototyping, benchmarking, and analyzing inference optimization techniques
Working with modern inference frameworks and real production-like workloads
Why join us?
This internship offers a unique opportunity to work at the intersection of AI systems and distributed infrastructure, with real-world impact on scalable, cost-efficient inference serving used in production environments.

we are looking for a 3D Algorithm Developer Student, who will be challenged by solving problems from the real world using Computer Vision, multi sensor reasoning and 3D reconstruction. Our mission in the Algorithms department has a significant impact on autonomous driving technologies and on saving lives.
In this position, you will combine algorithmic research and development in Python, you will be responsible for both maintaining the product and developing new features. As an Algorithm Developer, you will learn and develop new algorithms which can address new problems and challenges to solve as they arise.
The work algorithms department is dynamic and includes hands-on work in running the process from the early stage of research to bringing the product to production, in collaboration with other teams .
What will your job look like:
Your role will include algorithm development in the areas of computer vision (both classical and learning-based) and 3D reconstruction.
You will develop primarily in Python, taking part in both maintaining existing products and developing new features.
Finally, you will need to learn and develop new algorithms that can address new problems as they arise.

Join us in building the brain behind the car - a large-scale, multi-task neural network that powers the core of autonomous driving stack.
In this role, youll design, train and evaluate cutting-edge deep learning models optimized for our custom EyeQ chip, tackling end-to-end challenges and deploying real-world solutions. From novel architectures and advanced training techniques to performance tuning under tight compute constraints, youll work closely with software and hardware teams to turn research into high-impact, production-ready systems.
If youre an outstanding student with a passion for shaping the future of AI and autonomous driving - this is your launchpad.
What will your job look like:
Design, implement and train deep learning algorithms to solve complex real-world problems
Collaborate with cross-functional teams to understand requirements and deliver robust solutions
Conduct research, evaluate existing models and techniques, and propose innovative approaches to improve performance and accuracy
Optimize deep learning algorithms and DNN architectures for performance, efficiency, and scalability
Stay up to date with the latest advances in deep learning, AI architectures, and multi-task learning, and apply them in production settings

In this visible role, you will be responsible for taking part in a SoC verification process of a large-scale SoC. You will develop verification test plans, tools, test benches, protocol monitors, and high-coverage stimulus vectors. Apply sophisticated techniques to achieve verification with the highest quality, efficiency, and time-to-market. You will work closely with the design team to ensure timely delivery of quality designs. Working with methods to accelerate verification time. Involvement in Post Silicon Validation.

Imagine what you could do here. new insights have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people who work here have reinvented entire industries with all our Hardware products. The same passion for innovation that goes into our products also applies to our practices - strengthening our dedication to leave

The world is better than we found it. Join us to help deliver the next groundbreaking our products.

In this role, you will be responsible for ensuring a bug-free first silicon for part of the SoC / IP and are encouraged to: Develop detailed test and coverage plans based on the micro-architecture. Develop verification methodology suitable for the IP, ensuring a scalable and portable environment. Develop a verification environment, including all the respective components such as stimulus, checkers, assertions, trackers, and coverage. Develop verification plans for all features under your care. Implement verification plans, including design bring-up, Design Verification environment bring-up, regression enabling for all features under your care, and de-bug the test failures. Develop block, IP, and SoC level test benches Track and report Design Verification progress using a variety of metrics, including bugs and coverage. Develop mixed-signal simulation environment, and work closely with analog team to ensure overall bug-free mixed-signal design.

A student position in the Firmware team.
Be part of the FW development and testing, tackle challenging problems and provide advanced technological solutions.
In this role, you will:
Be a part of the FW team, working closely with several other teams such as SW, HW, algorithms and SQA. Support the teams on end-to-end development of FW components.
Analyze firmware functional and non-functional requirements and come up with solutions, starting from design to implementation and testing. Be accountable for these developments, starting from the design to the testing.
Validate quality of developed features, support basic automation testing, and unit testing.

We are looking for a Help Desk Student to join our IT Support team.
The role involves providing first-line technical support to employees worldwide, covering our global operations .
Responsibilities:
Supporting users in multi-region environments & worldwide teams.
Managing users and permissions of cloud-based products.
Mastering, deploying, and supporting the latest technologies.
Handling onboarding and offboarding processes.
Managing computers and peripheral equipment.
Administering and maintaining business applications and systems.

We are looking for a motivated and curious student to support our infrastructure and automation efforts. Youll help develop testing tools, integrate lab test equipment, and explore AI-based insights for smarter test analysis.
You'll be exposed to advanced lab setups, real-time testing systems, and tools that support product release decisions, all while being part of a high-performance engineering culture.
This is an ideal role for a student studying engineering or computer science, eager to gain real-world experience in system validation and automation.
Roles and responsibilities:
Design, develop, and maintain automated test infrastructure.
Develop tools to simulate, validate, and verify complex hardware/software systems.
Develop software interfaces to control and monitor test equipment (e.g., oscilloscopes, power supplies, signal generators, protocol analyzers).
Integrate AI/ML models for test optimization, log analysis, anomaly detection, root cause identification, and system insight.
Create dashboards, reports, and intelligent insights from test data and logs.