דרושים » אבטחת איכות QA » SW Automation Student

We are looking for a Software Development Student to join us part-time alongside your studies. You will work on real firmware that ships on production ML servers, writing and testing code, debugging on real hardware, and learning how large-scale accelerator platforms are built from the ground up. You will be working closely with silicon, hardware, and cloud teams to bring new accelerator platforms from first power-on to production. You will be paired with experienced engineers who will mentor you, review your code, and help you grow.

This is a hands-on role for a student who is curious about how hardware and software meet, enjoys solving problems at a low level, and wants to make a real impact on systems used at massive scale.

Key job responsibilities
- Develop, test, and debug firmware components for ML accelerator servers.
- Write clean, well-tested code and participate in code reviews.
- Investigate and root-cause issues on real hardware in the lab.
- Build tools and automation that improve the team's development and validation flow.
- Collaborate with firmware, hardware, and platform engineers across the group.

we are looking for a Release Engineering Intern.
As a Release Engineering Intern in our Tel Aviv office, youll help improve the systems that build, test and release software across .
The group is moving the R&D to an agent-ready CI/CD platform, aiming for up to 10x faster delivery with less manual build, test and release work.
Youll also work on our internal AI app-building platform, which lets employees create and deploy applications from natural-language prompts (Base44 style).
The team supports 600+ R&D engineers, around 1,300+ modules and 500+ service types across Java, JavaScript/TypeScript, Python and Go.

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.

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

As we expand our presence in Israel, we are seeking a motivated Physical Design Student to join our founding local engineering team.

This is a unique opportunity to kickstart your career in the semiconductor industry. Working alongside senior industry veterans, you will gain hands-on experience in backend execution and advanced methodologies for cutting-edge chips that power the world's largest AI clusters. If you are passionate about silicon hardware, eager to learn, and thrive on solving complex engineering challenges, this role offers the perfect bridge between your academic studies and a high-impact career.


Key Responsibilities

Guided Implementation & Learning
Partner with and learn from senior engineers to support the physical implementation journey, including synthesis, floorplanning, Place & Route (P&R), and Clock-Tree Synthesis (CTS).
Assist in macro-level implementation and develop hands-on skills in complex layout routing.
Participate in deep-submicron process challenges under close professional mentorship.

Signoff & Design Integrity Support
Assist in running engineering checks for design integrity, including Static Timing Analysis (STA), Physical Verification (DRC/LVS), and Reliability analysis (EMIR).
Learn to apply Logic Equivalence Checking (LEC) to help guarantee design correctness.
Gain exposure to the rigorous flows required to ensure first-pass silicon success.

Scripting & Cross-Functional Collaboration
Leverage and develop scripting tools to automate repetitive tasks and optimize the engineering environment.
Collaborate with Architecture, Design, and DFT teams to understand how different chip design disciplines intersect.
Actively participate in team reviews and technical discussions to ramp up backend methodologies.

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.

Required Technical Support Specialist - Student Position
Description
Come Join us as a member of the Technical Support Team and part of our Operations, where you will take part in facilitating and managing technical support and monitoring.
Main Responsibilities:
Being part of our customer facing team responsible for technical support and troubleshooting
Working in a 24/7 support hours' shifts
Gathering detailed technical information as needed and investigating issues to solve problems, evaluate and escalate priority issues as needed.
Spotting common trends and underlying problems
Providing reliable resolution of critical and high impact problems for customers
Updating self-help documents so customers/employees can try to fix problems themselves
Working closely with our developers and technical teams to solve customers problems efficiently and improve our product
Creatively suggest and build software work-around solutions, including occasional scripting/ coding and customizations
Part and full-time/ weekends position available.

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

Required NOC - Student Position
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.

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.