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 Fullstack Engineer Intern.
Responsibilities:
Assume responsibility for software engineering tasks that deliver real value to customers
Develop solutions by taking ownership of the end to end software delivery life cycle
Work in an agile environment to deliver high quality software.

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're looking for a motivated student who wants to take their first step into the high-tech world - and not just anywhere, but at one of the fastest-growing cybersecurity companies out there, working on some of the most interesting challenges in the industry. This is an entry-level position with real room to grow: you'll get hands-on training, mentorship, and the chance to develop into a full Technical Support Engineer role over time.
Responsibilities:
Provide accurate and timely support via Slack, chat, or email to help troubleshoot and resolve customer issues.
Learn to diagnose technical problems and escalate complex issues to R&D or Product when needed.
Build strong relationships with customers and maintain a professional, supportive tone.
Help create and update support documentation, and log interactions in the support system.
Continuously build your technical skills through ongoing training and mentorship.

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*

Required Student Researcher, 2027
Please complete your application before December 13, 2026. We encourage you to apply as early as possible as we review applications on a rolling basis.
About the job:
The Student Researcher Program fosters academic collaborations by hiring students onto research projects aligned to company priorities in scientific advancement. The program offers placements on teams across, for research, engineering, and science roles. As a Student Researcher, you will have the opportunity to participate in research projects focused on developing solutions for real-world, large-scale problems.
Student Researcher projects are exploratory and direct experiences that drive scientific advancement across a multitude of research areas. Students will work collaboratively on projects that explore innovative research challenges and support the creation of breakthrough technologies.
The program is open to students enrolled in a Bachelors, Masters, or PhD program. Projects vary in duration and location based on team and student requirements. It is required that you are located in one of the specific country locations identified for this role for the full duration of the engagement. When you apply, you will be considered for Student Researcher positions across all of our research teams - including DeepMind, Research, Cloud and more. This allows us to find the right project match for your skills and interests.
Researchers across the company are working to advance the state of the art in computing and build the next generation of intelligent systems for all our products. To achieve this, we invest in foundational research and work on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Whether we're shaping the future of sustainability, optimizing algorithms, or pioneering AI systems, our teams strive to continuously progress science, advance society, and improve the lives of billions of people.
Our Research is building the next generation of intelligent systems for all our products. To achieve this, were working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Our Research teams collaborate closely with other teams across, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.
Responsibilities
Participate in research to develop solutions for real-world, large-scale problems.

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

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.