דרושים » חשמל ואלקטרוניקה » Embedded Software Student

We are looking for talented student to help us develop the semiconductor platform which is based on revolutionary architecture.
Take part in the development of products within disruptive system architecture.
Youll have the opportunity to work on the technologies that power the worlds largest Cloud provider, within a dynamic, open, and fast-paced environment.

We are looking for talented students to join the Verification team and help us technically lead the challenges of the next decade.

we're seeking a visionary Design Verification Student to help build our local engineering powerhouse from the ground up. This is a unique opportunity to take on meaningful product ownership in a new site, designing complex solutions that sit at the heart of our most ambitious connectivity projects.

As a Design Verification Student, you will be at the forefront of quality, learning how to ensure that the chips powering the world's largest AI clusters are bug-free and robust.
This isn't just about running tests - its an opportunity to learn advanced verification methodologies (UVM/SystemVerilog) alongside world-class engineers. You will support the development of sophisticated testbenches and help verify high-performance digital blocks that sit at the heart of AI infrastructure.



Key Responsibilities


Assist in building and maintaining System Verilog/UVM-based testbenches, including monitors, checkers, and functional coverage models
Run simulations, analyze failures, and work with the design team to debug and resolve RTL issues
Help define and implement functional coverage and assertions to ensure all "corner cases" of the design are tested
Utilize and improve scripting (Python/Tcl) to streamline verification flows and result reporting
Partner with Design Engineers to understand block specifications and ensure the verification plan matches the design intent

We are a fabless semiconductor company founded by industry veterans, operates as part of us. We develop leading-edge semiconductor products that power Amazon's cloud infrastructure.
As a startup-like organization within us, we create technologies that drive the world's largest cloud provider. Our engineers work with cutting-edge technologies to innovate and shape the future of cloud computing. At Annapurna Labs, you'll experience a fast-paced environment that offers continuous learning opportunities and the chance to develop next-generation platforms.

we're seeking a visionary ASIC Design Student to help build our local engineering powerhouse from the ground up. This is a unique opportunity to take on meaningful product ownership in a new site, designing complex solutions that sit at the heart of our most ambitious connectivity projects.

As an ASIC Design Student, you won't just build chips-you will be part of a team defining the next generation of AI infrastructure main components. The complex digital blocks under your micro-architecture and implementation responsibilities will power the world's largest AI clusters. You will own the journey from high-level definition through RTL implementation and backend support, transforming complex logic challenges into elegant, high-performance hardware. If you thrive on solving unnamed challenges in deep-submicron processes and want to shape the digital design foundation for AI infrastructure connectivity, this is your opportunity.



Key Responsibilities

Assist in the development of micro-architecture, RTL coding, and debugging for complex digital blocks
Utilize industry-leading EDA tools (Lint, CDC, Synthesis) to ensure designs are robust and power-efficient
Work closely with the verification team to run simulations, analyze results, and ensure design quality
Interact with Architecture and Backend teams to understand the full chip development lifecycle
Help leverage AI-based automation tools to optimize engineering workflows

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

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 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.

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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