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We are looking for a Technical Support member with experience and technical background to handle case reproduction in the support LAB.
Key Responsibilities:
As a support LAB assistant, you will be required to simulate issues in the LAB and maintain the LAB environment for our global and domestic employees.
You will work together with our global and local interfaces to simulate problems on the LAB and provide feedback to the agent that handling the case.
Use Salesforce to manage cases.
Ability to work on flexible hours.

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 our company, 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 company's research teams, including our company DeepMind, our company Research, our company Cloud and more. This allows us to find the right project match for your skills and interests.
Researchers across our company are working to advance the computing and build the next generation of intelligent systems for all our company 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 company Research is building the next generation of intelligent systems for all our company products. To achieve this, were working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. our company Research teams collaborate closely with other teams across our company, 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 self-motivated individual, passionate about technology, great team player with excellent interpersonal skills



What youll do:

Planning, Design, Development, Reporting & Analysis of manual testing and automation tests.
Test current products and identifying deficiencies
Researching issues in software through manual & automation testing.
Collaborating with Software Developers to develop solutions.
Create test plans to cover the developed features

We are a leading global software company dedicated to the world of computer-aided design, 3D modelling and simulation- helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world-class software portfolio. Our culture encourages creativity, welcomes fresh thinking, and focuses on growth, so our people, our business, and our customers can achieve their full potential.
Position Overview:
Are you passionate about working in a collaborative, Agile environment where you can contribute to both front-end and back-end development? Join us in building high-performance, reliable solutions that seamlessly integrate with our digital ecosystem. Technology Operations is looking for a Full Stack React Software Engineer (Student) to join our DevOps Automation Testing Platform team within Digital Manufacturing, based at our Airport City, Tel Aviv office. If you enjoy creating and maintaining scalable web applications that power automated testing workflows for advanced manufacturing solutions, wed love to hear from you!
Responsibilities:
Develop and maintain full-stack applications using React.js (front-end) and C# (back-end).
Collaborate with multifunctional teams (QA, DevOps, Product Owners) to design and optimize digital manufacturing solutions.
Integrate APIs and microservices for seamless communication between front-end and back-end systems.
Ensure code quality and maintainability through standards in testing, documentation, and version control (Git).
Participate in Agile ceremonies and contribute to continuous improvement initiatives.
Troubleshoot and resolve technical issues across the stack, ensuring high availability and performance.

We are looking for Junior Solution Engineer to become an integral part of our Professional Services team.

we strive to ensure customers satisfaction and an effective onboarding process.

As a Junior Solution Engineer, you will become an integral part of our Professional Services & Operations team. In this role, you will be the engine behind our customer success, responsible for the critical operational task of keeping our global customer base up to date with the latest product versions.

You will be working in collaboration with the customers and closely with our, support, product, and customer success teams.

Our ideal candidate should be passionate about learning new technologies, organizing information \ data, and keen on becoming a part of a growing and dynamic team.

You will succeed in this role if you are a problem solver that likes to work with data and people to drive the best solution for both the customer and Dot.



Responsibilities:

Execute and monitor the upgrade process of products for global customers across Sandbox and Production environments.
Use Salesforce configuration tools to adjust system settings required for new version features.
Analyze deployment logs to identify errors, investigate root causes, and work with the R&D and Product teams to resolve conflicts.
Customer Training (preparation of training materials and delivering on-site or online training sessions)

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.