We are looking for a highly skilled Senior Developer - Python Automation Infrastructure and testing to join our R&D Integration Automation team. This role is focused on designing, developing, and maintaining advanced automation solutions across unit, integration, system, and end-to-end testing levels.
The ideal candidate is a hands-on developer with strong expertise in Python and Pytest, experienced in building and executing automated tests, and comfortable working with modern CI/CD pipelines and automation tools. The Senior Developer will act as a technical mentor and key contributor, ensuring best practices are followed and test automation is seamlessly embedded into the development lifecycle. Knowledge of RF systems is a strong plus.
Key Responsibilities:
Design, implement, and maintain automation frameworks and test scripts using Python and Pytest.
Write unit tests, integration tests, and regression suites to ensure comprehensive test coverage.
Develop and execute system-level and end-to-end automation, including API and UI layers (Selenium preferred).
Contribute to and optimize CI/CD pipelines (Jenkins, Docker, Git) for reliable and scalable test automation.
Collaborate closely with SW developers, RF, QA, and DevOps engineers to embed automated testing into every phase of the product lifecycle.
Perform code reviews, provide technical guidance, and ensure automation code meets high quality and maintainability standards.
Analyze test results, identify root causes of failures, and drive timely resolution in partnership with development teams.
Continuously evaluate and introduce new tools, libraries, and practices to improve automation efficiency.
Support integration activities and ensure smooth interaction between hardware, software, and automation systems.

We are looking for a Senior QA Automation Engineer for our Raanana office (hybrid set up). The QA Automation Engineer role provides you with a unique opportunity to work on an impressive technology landscape, involving many of the most popular tools and cloud platforms of today. You will get a chance to utilize your expertise and imagination, while we work together to power our market-leading product platform with next-generation technologies.

The role will challenge you every day, to think harder and innovate, giving you an excellent chance to grow your skills and knowledge. You will be responsible for the quality assurance of our Quality Intelligence platform. You will define, design and implement innovative ways to push our products to the edge and ensure that it can provide the reliability, scalability and availability our customers expect from our products.

Responsibilities:

Plan and execute effective test scenarios as per the acceptance criteria in user stories

Design and implement robust and scalable automated testing sets to ensure high code coverage.

Monitor production systems to identify patterns of failures and potential bottlenecks, and bring the most common scenarios under test coverage

Bring new ideas to emulate complex scenarios while testing applications

We are looking for an experienced Software Engineer to join our team with a focus on services and infrastructure development, while being comfortable contributing across the full software stack when required.

This role is well suited to an engineer who enjoys designing and building scalable backend services, integrating them with infrastructure platforms, and contributing to end-to-end solutions that support sophisticated engineering workflows. While some components may include frontend elements, the primary emphasis is on service architecture, APIs, data handling, and system reliability.

In this role, you will collaborate closely with engineers and partners across the organization to design, deliver, and evolve maintainable solutions that underpin GPU software engineering infrastructure. You will also contribute to technical direction, mentor others, and help shape the long-term evolution of our platforms.

Responsibilities:
Design, develop, and maintain scalable backend services using Python, Go or similar languages, with the ability to contribute to full-stack solutions where appropriate.
Take ownership of services across their lifecycle, from design and implementation through deployment and production support.
Design and evolve APIs and service interfaces that support tooling, automation, and infrastructure workflows.
Contribute to end-to-end feature development, spanning backend services, APIs, and selective frontend components where they support infrastructure use cases.
Collaborate closely with teams across tooling, automation, and infrastructure to ensure seamless service integration.
Improve system reliability, performance, and scalability through thoughtful design and continuous optimization.
Contribute to infrastructure modernization initiatives, including cloud-based and containerized deployments.
Follow and promote standard methodologies for code quality, testing, documentation, and design reviews.

As a Graph Compiler Software Manager, you will lead the development of next-generation graph compiler technology. This compiler is a cornerstone of AI software offering, empowering customers to optimize, map, and execute complex neural networks across architectures with extraordinary efficiency. You will lead a group of talented engineers and team leaders working across domains such as compiler optimizations, graph-level transformations, operator mapping, scheduling, and code generation. We are seeking a visionary and technically strong leader with passion for excellence and impact in one of the most fascinating areas of AI and deep learning.

Key Responsibilities:

Lead the design and implementation of innovative graph compilation flows for AI workloads, from high-level optimizations to hardware-specific backends. Build and guide a strong, innovative, and results-driven compiler team that thrives on solving complex technical challenges. Collaborate with hardware architecture, VLSI, and software framework teams worldwide to ensure seamless integration and maximum performance. Lead the end-to-end delivery of graph compiler components while meeting aggressive KPIs. Establish and execute group planning processes to ensure timely and high-quality delivery. Provide technical and managerial guidance to team leaders and engineers. Define and drive compiler optimization strategies for AI and deep learning workloads.

The AI Graph Compiler Engineer will design and develop next-generation graph compiler technologies enabling efficient execution of advanced AI models on Neural Processing Units (NPUs) used in edge and embedded AI devices. In this role, you will work at the intersection of AI frameworks, graph optimization, and hardware acceleration, enabling efficient execution of neural networks on cutting-edge AI hardware.

You will work at the intersection of AI frameworks, compiler infrastructure, and hardware acceleration, helping translate high-level AI models into highly optimized executions on NPUs.



What will you do:

Develop and enhance AI graph compiler components targeting NPU architectures. Implement graph-level optimizations such as operator fusion, scheduling, memory planning, and layout transformations. Participate in lowering models from AI frameworks (e.g., PyTorch, ONNX, TensorFlow) into NPU-optimized representations. Contribute to compiler passes focused on performance, memory efficiency, and numerical correctness. Collaborate closely with hardware, runtime, and AI framework teams to achieve optimal end-to-end performance. Analyze performance bottlenecks and assist in compiler-based optimizations. Debug and resolve issues across compiler, runtime, and hardware layers. Support testing, validation, and documentation of compiler features.

We are looking for a student to join our WIFI Software team, developing and implementing meaningful advanced cross layer networking for our next generation WIFI products.