דרושים » אבטחת איכות QA » Python Automation Infrastructure and Testing Senior Developer

We are looking for a highly skilled RF Test Automation Developer 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:
Develop and maintain automated RF test development tools using Python and other relevant programming languages.
Configure, calibrate, and operate RF test equipment such as Vector Signal Generators (VSGs), Spectrum Analyzers (SAs), and related instruments.
Create and validate RF test setups for performance validation, debug, and system characterization.
Analyze test results, generate comprehensive reports, and present findings to cross-functional teams.
Collaborate with hardware and software engineers to integrate automated RF testing into the product development cycle.
Stay current with emerging RF technologies and testing methodologies, proposing and implementing improvements to existing test processes.
Contribute to the development of RF testing strategies aligned with R&D goals and product roadmaps.
Research and introduce innovative RF automation tools, frameworks, and workflows aligned with R&D goals.

This is a high-impact technical leadership role designed for a "star" engineer who can own the entire hardware lifecycle. You will be responsible for stabilizing products from the first prototype through mass production, defining validation strategies, and managing the technical deployment of test stations at global Contract Manufacturers (CMs). You will bridge the gap between R&D, manufacturing, and field reliability to ensure world-class product quality.
Core Responsibilities
Outsourced Station & Vendor Management: Lead the design, setup, and qualification and scale-up of test stations (ICT/JTAG/FT) and debug infrastructure at CM/Outsource partners.
End-to-End Product Stabilization: Own the hardware stabilization process from the first build unit through ramp-up and transition to high-volume production.
Validation & Automation Strategy: Build comprehensive validation plans, review hardware designs for testability (DFT), and integrate automated software tests into production lines.
Advanced System Debugging: Develop hardware debug tools and methodologies to perform deep-dive failure analysis and root cause investigations on systemic issues.
Yield & Data Intelligence: Monitor and optimize yield performance using data analysis techniques to identify trends and failure modes during the NPI lifecycle.
Field & RMA Ownership: Lead technical investigations into field-deployed systems, analyzing diagnostics and telemetry to evaluate RMA claims and provide actionable engineering recommendations.
Cross-Functional Leadership: Collaborate with Mechanical NPI, Test Development, R&D, and manufacturing partners to align test requirements with business needs.
Statistical Process Control (SPC) Implementation: Establish and monitor SPC for critical manufacturing parameters to identify process "drifts" before they result in actual product failures.
Root Cause Corrective Action (RCCA): Lead the formal RCCA process for any manufacturing escapes, ensuring that the "fix" is implemented both in the hardware design and the test software.
Vendor Quality Engineering (VQE): Act as the technical quality lead for CMs and outsourced station builders, defining the "Golden Unit" standards and qualification protocols for all production lines.

We are seeking a Senior Automation Engineer to lead the enterprise-scale design and implementation of a modern test automation platform built on Playwright.
This role is ideal for a senior engineer who has successfully led a Selenium-to-Playwright migration in a large organization and understands both the technical and organizational challenges of modernizing automation at scale.
You will define enterprise-wide standards, build scalable automation infrastructure, and drive quality transformation across multiple engineering teams.
How will you make an impact?
Architect and standardize a scalable Playwright framework for multi-team adoption.
Lead and execute the migration strategy from Selenium to Playwright.
Define enterprise automation standards, including:
Async programming best practices
Modern locator and test design patterns
Test isolation and reliability strategies
CI/CD integration and pipeline optimization
Optimize execution performance, stability, and parallelization at scale.
Design automation infrastructure including reporting, observability, and test analytics.
Partner with engineering leadership to embed automation into the SDLC.
Mentor engineers and act as the technical authority for automation strategy.

We are seeking a Senior Automation Engineer to lead the enterprise-scale design and implementation of a modern test automation platform built on Playwright.
This role is ideal for a senior engineer who has successfully led a Selenium-to-Playwright migration in a large organization and understands both the technical and organizational challenges of modernizing automation at scale.
You will define enterprise-wide standards, build scalable automation infrastructure, and drive quality transformation across multiple engineering teams.
How will you make an impact?
Architect and standardize a scalable Playwright framework for multi-team adoption.
Lead and execute the migration strategy from Selenium to Playwright.
Define enterprise automation standards, including:
Async programming best practices
Modern locator and test design patterns
Test isolation and reliability strategies
CI/CD integration and pipeline optimization
Optimize execution performance, stability, and parallelization at scale.
Design automation infrastructure including reporting, observability, and test analytics.
Partner with engineering leadership to embed automation into the SDLC.
Mentor engineers and act as the technical authority for automation strategy.

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.

We seek an SW Automation Engineer to join our Ethernet Switch SONiC Network OS. As a Automation Engineer, you will have to work closely with NVIDIAs development and architecture teams responsible for SONiC Network OS and gain a deep understanding of NVIDIA products and technologies.

What youll be doing:

Participate in an international team of software engineers working on products for testing our products.

Design and implement robust, maintainable, and efficient automation test suite.

Work with Continuous integration systems and regression tools, automate builds, and test suites, generate test reports, isolate and classify failures and review new degradation.

Innovate! Bring SONiC NOS to shine in customer's view.

Execute comprehensive testing of AI datacenter networking solutions, focusing on SONiC-based systems, smart NIC integration, and high-performance networking for AI workloads.
Key Responsibilities:
Design large scale testing topologies with GPU/Traffic Generators and execute test cases for SONiC/our company network operating system functionality.
Validate smart NIC performance and integration with SONiC datapath
Perform functional, performance, and stress testing of AI networking scenarios
Develop automated test scripts for regression testing and continuous validation
Execute interoperability testing between different hardware vendors and software versions
Validate RDMA, high-speed Ethernet performance for AI workloads
Test failover scenarios and network resilience under various failure conditions
Document test results, file detailed bug reports, and track issue resolution
Collaborate with development teams to reproduce and isolate defects
Participate in customer proof-of-concept testing and field issue reproduction.

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.

As a Senior Python Engineer, you will play a key role in the development of our cutting-edge solutions to detect, track and mitigate drones. Your primary responsibility will be to successfully implement real-time, multi-core, and multi-threaded software tasks and continuously develop new features and capabilities for an up-to-date response to new drone models and components, while collaborating with our algorithms and radio-frequency (RF) engineers. This includes coding over a Linux platform, primarily in user space, with a rich and fully automated Continuous Integration and Continuous Deployment (CI/CD) platform. In addition, you will implement Scrum and Agile methodologies in your tasks, while taking features from the early requirement stage through design, implementation, integration, and then handing it over to our validation team.

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.