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DFT Intern - ASIC Student - Israel - ETR
Job Description
Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a representative may contact you directly if a relevant position opens.
Who We Are
The Design for Test (DFT) team is part of the design group, which focuses on logic design, RTL development, and running verification tests. Their main role is to design test structures embedded within the chip to ensure proper functionality after manufacturing. The goal is to detect potential manufacturing defects with maximum efficiency and filter out faulty units before they reach the market.
The ideal candidate is friendly, social, easygoing, with a good sense of humor, and has the ability to learn independently. They should be located in central\north Israel (Tel-Aviv\Caesarea). Strong independent work skills and job stability are important.
What You'll Do
Work in a small, agile team with an intimate atmosphere that offers direct mentoring and broad professional growth. Insert DFT logic, perform synthesis, and run Automatic Test Pattern Generation (ATPG) to ensure hardware testability. Execute Gate Level Simulations, timing checks, and DRC checks to maintain rigorous design integrity and performance standards. Run regressions and perform deep-dive debugging on simulation failures as part of the core verification process.

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 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.

Do you want to take part in shaping the future of AI-driven materials discovery? We are seeking a talented and highly motivated student for a Joint PhD at Bar-Ilan University (BIU), to conduct cutting-edge research in collaboration with our teams, on next-generation Foundation Models for Materials Science.
The work will focus on developing novel multi-modal foundation models for materials discovery, leveraging large-scale data, representation learning, and uncertainty estimation. The candidate will work closely with academic and industry researchers, contributing to both methodological advances and real-world impact across scientific and industrial domains.
What youll be doing:
Conduct research in deep learning and AI for materials science, with a focus on foundation models, multi-modal learning, and representation learning.
Develop and train large-scale models for materials discovery and prediction tasks.
Collaborate with researchers and engineers across and academia.
Lead independent research under academic supervision, while contributing to team efforts.
Publish results in top-tier conferences and journals, and present findings clearly and effectively.

We are looking for a highly motivated, service‑oriented student to join our IT Services team. The role reports to the IT Services APAC Team Leader. This position is a great fit for students or junior candidates who are curious, service‑oriented, and eager to gain hands‑on IT experience, even without prior formal experience in the field.
Position Details:
Part‑time position - minimum of 3 working days per week
Approximately 27 hours per week
On‑site role only
Responsibilities:
Support employee onboarding, including setting up laptops, user accounts, software, and peripherals
Provide end‑user IT support and troubleshooting
Handle IT requests through a ticketing system and provide on‑site support
Diagnose and resolve basic hardware, software, operating system, and connectivity issues
Assist with IT documentation, workflows, and internal guides
Maintain office IT equipment and meeting room setups
Help manage and track IT inventory

As a Student Automation Developer, you will play a critical role in ensuring the quality, stability, and success of our core platform. This is not just a background role - you will take ownership of end-to-end test plans for complex, cutting-edge features (including AI sessions, data privacy tools, and query builders).

You will work closely with experienced developers, Product Managers, and Data Scientists, gaining deep technical exposure that serves as an excellent stepping stone toward a future career in FS or BE software engineering.

Key Responsibilities
Automation Development: Design, build, and maintain robust automated testing frameworks and scripts, primarily using Python.
Feature Ownership: Take the lead on creating and executing comprehensive test plans for newly released features, ensuring product stability from day one.
CI/CD Pipeline Management: Monitor daily CI/CD pipelines to catch regressions early, triage failures, and maintain a highly reliable release cycle.
API & Backend Testing: Conduct deep backend validation by interacting with REST APIs, utilizing tools like Postman and internal automation clients.
Cross-Functional Collaboration: Partner directly with the Platform, Product, and Data Science teams to clarify requirements, investigate bugs, and define expected system behaviors.
Continuous Improvement: Actively participate in framework refactoring, workflow improvements, and writing clean, maintainable code.

we are looking for a PhD Machine Learning Research Intern.
As a Machine Learning Research intern in Tel-Aviv, you will have the opportunity to tackle real world problems by pushing the boundaries of the state-of-the-art, with the goal of publishing your work.
You will join us for a 3-month internship (preferred start date: May) focused on Data-Centric AI. In this project, you will tackle the "glass ceiling" of NLU performance: inherent ambiguity in annotation guidelines and label taxonomies. You will move beyond traditional noise reduction to investigate why human annotators disagree and how these disagreements corrupt "ground truth," directly influencing how we evaluate and improve state-of-the-art models.
Key Job Responsibilities and Duties:
Survey the Landscape: Conduct a comprehensive literature review to synthesize current approaches to data ambiguity, identifying the strengths and limitations of existing methods in handling label noise and taxonomy gaps.
Innovate & Design: Devise novel techniques and metrics to detect, quantify, and resolve inherent ambiguities within NLP datasets and annotation guidelines.
Experiment & Validate: Design and execute rigorous experiments to evaluate your proposed methods, measuring their impact on model reliability and ground truth accuracy.
Publish Findings: Summarize your conclusions and contribute to writing a research paper with the aim of submitting to a top-tier NLP conference (e.g., ACL, EMNLP).
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We are looking for a Software Engineer -A new college Grad to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.

We are looking for a Software Engineer -A new college Grad to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.

We are looking for a QA Automation Engineer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
We are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, we take the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless employees who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
Requirements
Develop Testing & Automation SW tools from the ground up, interfacing to various systems and tests (Python-based).
Work closely with developers to create and maintain a state of the art system tests
Define, develop and execute testing plans with deep system knowledge and understanding.