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Were searching for sharp engineers to lead cutting edge products, re:inventing super computers and deploy our new EFA (Elastic Fabric Adapter) 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.

Were searching for a Lab Technion Student who will be responsible for the installation, configuration, maintenance, and troubleshooting of our Linux-based server infrastructure, as well as managing various network services and components.

Student will have at least 4 semesters remaining in their degree. The ideal candidate will posses a strong passion for learning new things and the ability to quickly put that new knowledge and skills into practice. You will have the ability to perform basic troubleshooting for hardware, software, and networking issues without guidance.

We are looking for a Software Development Student to join us part-time alongside your studies. You will work on real virtual platform models and environments used across the company, writing and testing code, debugging complex hardware-software interactions, and learning how large-scale platforms are designed and brought up from the ground up.

You will be paired with experienced engineers who will mentor you, review your code, and help you grow.

Key job responsibilities
- Develop and maintain simulation models of hardware components, integrate complex platform environments.
- Write clean, well-tested code and participate in code reviews.
- Debug and investigate complex hardware-software interactions.
- Build tools and automation that improve the team's development and validation flow.
- Collaborate with software, hardware, and silicon engineers across the group.
- Available to work part-time (at least 2-3 days per week) alongside studies.

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.

As a Software Test Development Engineer in our team, you will be responsible for the Graviton servers' software quality.
That includes setting up and maintenance of lab and cloud environments, writing test-plans, automating them and troubleshooting issues.
You will take part in designing, developing, and maintaining our automation frameworks and will work closely with developers to ensure the timely delivery of high-quality Graviton servers to our customers.
As a part of this team, you will solve difficult technical problems, work on test frameworks, test tools, and test case automation for large components. You will build and apply solutions that assess and mitigate quality risks on the Graviton servers.

Key job responsibilities
We are looking for exceptional student engineer with a passion to learn how the Cloud is working "behind the curtain".

You will learn about new features of the server, develop automation to qualify them and implement the tests into a Continuous-Integration (CI) environment that run in lab and in the actual AWS Cloud.

In this highly technical position, the Python Software Engineer student will learn scripting abilities in python to write tests to constantly check the functionality of the Graviton servers' software.
Experience coding in python and testing embedded systems while being able to leverage AI capabilities are key to success.

*Make sure to include a grade sheet with your CV, in a single PDF*

As HW Validation student in the Nitro team you will be responsible to validate the hardware of our network interface card (Smart NIC).
Youll provide leadership in the HW interfaces of new technologies to large scale deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and youll work with thought-leaders in multiple technology areas.

Key job responsibilities
- Own hardware validation activities for our products, from test execution through analysis and debug.
- Analyze validation and production data to identify issues, trends, and opportunities for improvement.
- Collaborate with HW, SW, and validation teams to enable efficient testing, debug, and issue resolution.
- Develop and execute validation and performance tests, considering both technical requirements and customer needs.
- Support the validation and deployment of new hardware technologies at scale.

We are looking for a motivated supply chain student to join our semiconductor Supply Chain Planning team on a part-time basis. This is a hands-on learning opportunity to support the planning of a semiconductor supply chain spanning multiple products, working alongside experienced planners and cross-functional teams (engineering, procurement, suppliers, and manufacturing partners).

As a Supply Chain Planning Student, you will help maintain production data, execute production builds, prepare reports and dashboards, track material and WIP status, and support both production planning and New Product Introduction (NPI) activities. This is an ideal role for a student who wants to gain real-world experience in a fast-paced, fabless semiconductor environment and grow toward a full-time Supply Chain Planner career path.
The ideal candidate is a curious, detail-oriented self-starter who is comfortable working with data, eager to learn, and able to communicate clearly. No prior professional experience is required - we will teach you the tools and processes.


Key job responsibilities
Support daily production planning activities and help maintain production plans across multiple product lines.
Collect, consolidate, and organize supply chain data from multiple sources (ERP systems, suppliers, manufacturing partners).
Build and maintain Excel-based reports, charts, and dashboards (WIP, inventory, shortage, and excess lists).
Track material status across wafer foundries, assembly/test houses, and contract manufacturers, and flag issues to the planning team.
Assist with NPI planning tasks - help track qualification timelines, pilot builds, and BOM material availability.
Help prepare status summaries and follow up on open items with internal stakeholders and suppliers.
Support release and procurement tracking of BOM components.
Take on ad-hoc analysis and process-improvement tasks that reduce manual effort for the team.

looking for talented students to help us develop the semiconductor platform which is based on revolutionary architecture.
Take part in the development of innovative products within disruptive system architecture. Youll have the opportunity to work on the technologies that power the worlds largest Cloud provider, within a dynamic, open, and fast-paced environment. Our Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world.

Key job responsibilities
As Post Silicon Dev Student you will be exposed and learn wide range of expertise such as: C++ programing, hardware design, data mining, Verilog simulations, working with various high end test equipment and more
If paving new roads on edge of technology within a strong and dynamic team is what you seek, your place is with us.

We are seeking a versatile, highly motivated Engineering student to help us develop 3D graphical simulation software solutions focused on robotics and automation systems for industries like Automotive, Electronics, Aerospace, and more. This is an excellent opportunity to apply your technical knowledge, gain real-world experience, and grow within a global software leader while working on complex industrial challenges.

Key Responsibilities

Develop and complete system validation tests ensuring compliance with customer business needs
Prepare customer focused demos and tutorials
Support customer projects and engagements driving new capabilities and technologies deployment
Contribute to the advancement of robotics and automation solutions using 3D simulation and computer vision technologies

We are looking for a highly motivated AI Research Student for our Robotics & Simulation AI team. You will be passionate about data science, AI quality measurement, and the intersection of AI with high-accuracy industrial domains. This role is ideal for someone who grows with challenging existing assumptions, defining rigorous evaluation methodologies, and pushing AI systems toward measurable reliability. You will combine strong data science and research skills with hands-on experimentation in a production AI product that controls robotic manufacturing simulations.

Key Responsibilities

AI Quality & Stability Research

Define and implement metrics to measure the stability, accuracy, and reliability of our production AI Copilot (PSCoPilot)
Design evaluation frameworks for AI agents operating in safety-critical robotics and simulation environments
Build observability and tracing pipelines using platforms like Langfuse to monitor Copilot performance, token usage, latency, and tool-calling success rates
Analyze failure modes, hallucination patterns, and tool-calling accuracy across 48+ MCP-exposed robotic operations
Develop automated regression and benchmark pipelines to track Copilot quality over time

Data Science & Experimentation

Conduct statistical analysis on Copilot interactions (tool selection accuracy, collision detection correctness, path planning success rates)
Research and apply techniques from AI evaluation literature (LLM-as-judge, human-in-the-loop validation, domain-specific benchmarks)
Leverage LangChain and similar orchestration frameworks to prototype evaluation chains, structured agent workflows, and comparison experiments
Explore how multi-layer agent architectures (fast triage + deep execution) affect accuracy and cost trade-offs
Challenge the team with data-driven insights on where the Copilot underperforms and why

Domain AI Research

Investigate how to improve AI reasoning for robotics tasks requiring high precision (welding, clearance checking, reachability analysis)
Research grounding techniques that reduce errors in domains with zero tolerance for incorrect outputs
Explore and apply new AI technologies (GenAI tools, AI coding assistants, agents, MCP-based solutions) to enhance Copilot capabilities
Validate technical feasibility through hands-on experimentation with our production MCP bridge and two-layer streaming agent engine

Communication & Documentation

Document findings, benchmarks, and technical recommendations
Present results to technical and business partners
Collaborate with the team to translate research insights into production improvements