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Were looking for a BizOps Student to join our team and support the day-to-day operations of our GTM organization.
This is a hands-on, system-focused role working closely with BizOps Managers across Sales, SDR, and Customer Success. Youll help ensure our CRM and operational systems are accurate, reliable, and running smoothly, while building the foundations that allow the team to scale.
The role is execution-first, with a strong focus on data quality, system monitoring, and structured problem-solving, and offers a clear path to grow into a full BizOps role.
BizOps is responsible for ensuring that our systems, processes, and data actually work across the GTM organization.
The student role is a key part of how we scale this:
Taking ownership of high-volume, high-importance operational work
Creating visibility and structure
Allowing the team to focus on higher-leverage problems and system design
This is not just a support role - its an entry point into BizOps, with real impact and a clear growth path.

As a research student at Ask-AI, you will work on one of the teams core challenges in modern LLM-based systems, such as:

Agentic RAG
Advanced retrieval strategies, hybrid search, query rewriting, context optimization, and LLM-driven reasoning pipelines
Automatic Evaluation of Agents
LLM-as-a-Judge, scoring frameworks, hallucination detection, and robust evaluation methodologies
Agents for Knowledge Creation
Building agents that autonomously generate, refine, and maintain enterprise knowledge bases
Ontology-Grounded RAG
Enhancing models with domain-specific knowledge and structured representations
Data Analysis Agents
Agents capable of analyzing complex operational, product, and support data at scale
Fine-tuning LLMs for customer domain adaptation
Automatic agent improvement from user feedback including learning from errors, evaluations, and human signals
You will work one day per week, embedded directly in the Ask-AI research group, collaborating closely with senior researchers and engineers.

The Power Design team is responsible for driving power efficiency throughout the chip design lifecycle, from early architecture and RTL through physical implementation and final signoff.
The team develops and owns the methodologies, tools, and flows used to estimate, analyze, track, and optimize chip power. We work closely with architecture, RTL, verification, and physical design teams to identify power challenges early, understand their root causes, and drive effective solutions while balancing power, performance, and area (PPA).
Our work includes developing power models and estimation capabilities, analyzing power at different stages of the design flow, identifying optimization opportunities, and driving improvements at both the RTL and physical design levels. The team also explores new automation and AI-based methodologies to make power analysis faster, more accurate, and more actionable.
As the chips power center of expertise, the team provides technical guidance, establishes best practices, tracks power targets, and drives power-related activities across the broader chip design organization.
What You Can Expect

Ramp up on chip power estimation methodologies, tools, and power calculators.

Perform power analysis and identify optimization opportunities throughout the chip design lifecycle.

Explore and implement power optimizations at both the RTL and physical design levels.

Develop automation and improve existing power analysis and estimation flows.

Explore the use of AI tools for power analysis, optimization, and design-flow automation.

Analyze power trends and identify high-impact areas for improvement.

Collaborate with RTL, physical design, architecture, and power teams to drive power-related activities.

Gradually become a power focal point within the chip design team, building expertise and ownership of power methodologies, analysis, and optimization.

The candidate will own data analysis improving card and server production health and support new servers ramp up in the lab for development and integration purposes.

This role offers hands-on exposure to production-scale server infrastructure, real-world data engineering, and cutting-edge AI/ML integration all within a fast-paced, high-impact hardware program.

Key job responsibilities
As a Student Engineer in the Nitro team, you will assist with data infrastructure across development/production servers and new server integrations in lab environment for accelerator card-to-server platforms. Your work will span three core areas:
- Data Analytics & Dashboards - Build and maintain databases and dashboards that track manufacturing and production metrics for servers in fleet, including yield, first-pass rate, cycle time, and defect analysis. You will work with real production data to generate actionable insights that drive process improvements and support decision-making across the integration team.
- AI-Powered Data Capabilities - Assist in ramping the team's AI capabilities by incorporating machine learning and automation into data analysis workflows and database operations from anomaly detection and trend analysis to intelligent alerting and predictive insights that accelerate issue identification and resolution.
- New Server Integration & Lab Support - Support the integration of new server platforms by assisting with lab ramp-up activities, including server bring-up, firmware and hardware issue triage, quick-turn debug cycles, and development environment readiness. You will work alongside experienced engineers to help accelerate the path from first power-on to stable, repeatable operation.

We are growing and we're hiring people who are inspired by the opportunity to define and build the next generation semiconductor platform.

Key job responsibilities
* Be integrated part of the automation infrastructure team.
* Develop state-of the-art automation infrastructure solution for multiple SW projects.
* Provide solutions which enables automation flows on cloud infrastructure.
* Provide service and support for automation developers.

Required Student Software Engineer - Cloud, Big Data, Billing & AI
What you'll do:
Join a skilled Agile development team building and operating a large-scale cloud platform for our FinOps and Billing.
Develop and enhance cloud-native, distributed systems for collecting, processing, aggregating, and mediating high-volume event data.
Work on backend services and integrations with billing and financial systems, covering the flow from data ingestion and processing to aggregation and billing.
Contribute to Big Data processing pipelines and highly scalable microservices.
Work with databases, event-driven architectures, and messaging and queuing systems.
Develop and improve observability and monitoring capabilities to ensure system reliability, scalability, and performance.
Build AI-powered tools, Model Context Protocol (MCP) integrations, agents, and skills to support system operations, troubleshooting, monitoring, data analysis, and automation.
Explore and apply agentic AI approaches to improve how engineers operate, examination, and interact with complex cloud and Big Data systems.
Develop tools that enable AI agents to query system data, analyze operational information, and assist with day-to-day system management.
Help stabilize, troubleshoot, and improve the performance of production systems.
Improve and optimize development, testing, and operational automation.
Collaborate closely with skilled developers, architects, and domain experts in an international environment.
Gain hands-on experience with modern Cloud, Big Data, DevOps, and AI technologies while working on systems operating at significant scale.

Required Design Verification - Intern
job requisition id
2604481
Your Team, Your Impact
Join a highly skilled development team, driving the development of our next-generation network switches. Our team is responsible for a wide range of IPs for switching products, from initial definition through architecture, design, and verification.
As an intern, you will learn switch architecture, design and verification development tools and modern methodologies. You will be doing hands-on development tasks and learn to become an experienced engineer. You will learn system verilog, UVM, Python, C++, using AI tools, and how to implement and verify complex features. You will investigate and implement new protocols and features and verify them to tapeout quality. We are looking for excellent students, able to handle complex problems, with excellent people relations and collaboration skills.
What You Can Expect:
Implement new features in design and verification.
Reach high-frequency, high-performance, and low-power targets.
Write a verification test plan using random techniques and coverage analysis.
Develop a complex object-oriented random verification environment using System Verilog/UVM.
Create tests and tune the environment to achieve coverage goals.
Own and debug failures in simulation to root cause problems.
Analysis/closure of code and functional coverage.
Use scripting languages to automate repetitive tasks and improve efficiency.

We are looking for a talented EE/CS student to join the switching department. As a member of the team, you will be responsible for implementing the future devices of routing, using the most challenging, cutting-edge technology. In this role, you will be working with industry-standard tools on the biggest, most complex ASICs the semiconductor industry has to offer.
job requisition id
2604462.

Our CTO Office AI Research Group is looking for a motivated advanced BSc student to join our team as a Data Preprocessing Engineer. You will play a foundational role in building the data infrastructure that powers our AI research - working directly with large-scale, real-world datasets at the intersection of machine learning and semiconductor chip design.
job requisition id
2604499
This is a hands-on, high-impact student position for someone who enjoys getting into the details of messy data and turning it into clean, structured, and model-ready assets.
What You Can Expect:
Collect, clean, normalize, and sanitize large-scale chip design datasets from diverse sources and formats
Build and maintain scripts and pipelines to automate repetitive data extraction and transformation tasks
Parse and process a wide variety of file formats (JSON, CSV, Parquet, logs, and domain-specific EDA formats)
Navigate complex codebases and directory structures to locate, understand, and extract relevant data
Work with structured and semi-structured data using SQL and Python-based tooling
Collaborate with researchers and engineers to understand data requirements and deliver model-ready datasets
Document data sources, transformation logic, and dataset versions in shared repositories.

Required Design Verification- Intern
job requisition id
2604479
Your Team, Your Impact:
Join a highly skilled development team, driving the development of our next-generation network switches. Our team is responsible for a wide range of IPs for switching products, from initial definition through architecture, design, and verification.
As an intern, you will learn switch architecture, design and verification development tools and modern methodologies. You will be doing hands-on development tasks and learn to become an experienced engineer. You will learn system verilog, UVM, Python, C++, using AI tools, and how to implement and verify complex features. You will investigate and implement new protocols and features and verify them to tapeout quality. We are looking for excellent students, able to handle complex problems, with excellent people relations and collaboration skills.
What You Can Expect:
Implement new design and verification features.
Reach high-frequency, high-performance, and low-power targets.
Write a verification test plan using random techniques and coverage analysis.
Develop a complex object-oriented random verification environment using System Verilog/UVM.
Create tests and tune the environment to achieve coverage goals.
Own and debug failures in simulation to root-cause problems.
Analysis/closure of code and functional coverage.
Use scripting languages to automate repetitive tasks and improve efficiency.

our company, the industry leader in the web data domain, is looking for students for a part-time Technical support Representative position.
The position is part-time, in shifts that include nights, weekends and holidays.
Location: Poleg, Netanya
Responsibilities
Providing our company's customers with timely and accurate technical support
Independently understanding and solving technical problems using internal documentation
Clarifying problem solutions to customers and providing them with the best workflows
Interacting with other departments to clarify issues and escalate them when required.

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.