דרושים » הנדסה » SW Automation and Validation Engineer

We are seeking a Senior Automation Engineer to join our Big Data team, where we build cutting-edge, AI-driven applications that empower the worlds largest financial institutions in the fight against financial crime.
Youll be part of a dynamic group responsible for the analytics and developer experience foundations, enabling software developers, data engineers, and data scientists to deliver scalable, high-quality analytics solutions quickly. In this role, youll ensure the quality, reliability, and performance of our intelligent cloud-based products through robust automated testing.
How will you make an impact?
Design, develop, and maintain automated tests for backend systems and data pipelines.
Implement and manage a scalable testing framework to support continuous integration and delivery.
Create test plans, and maintain detailed documentation of testing processes, results, and quality metrics.
Collaborate with developers and product managers to understand system architecture and business requirements.
Participate in requirements analysis, technical reviews, and test planning.
Identify, document, and track defects, drive resolution with development teams.
Monitor production environments, investigate anomalies, and push for timely fixes.
Ensure data health and correctness across systems.
Continuously improve QA processes, tools, and best practices.
Advocate for quality across the development lifecycle.

We are seeking a highly skilled and motivated Team Leader - Python Automation Infrastructure and testing to join our R&D organization. This role is central to building and leading our automation Infrastructure and testing, ensuring robust test coverage across SW components, integration, system, and end-to-end levels.
The successful candidate will provide both technical leadership and hands-on contribution-mentoring a team of automation engineers, establishing best practices, writing automated tests, and driving adoption of modern automation tools based Python and CI/CD methodologies. While the primary focus is integration automation, knowledge of RF systems/Cyber and DevOps is a strong plus.
Key Responsibilities:
Bachelor's degree in Computer Science or related field.
Lead and mentor a team of automation engineers, setting technical direction, assigning tasks, and supporting professional growth.
Architect, implement, and maintain scalable automation frameworks using Python and Pytest.
Write, review, and optimize unit, integration, and regression test cases to ensure high-quality software delivery.
Oversee automation of system-level and end-to-end testing, including API and UI layers (Selenium preferred).
Design and maintain CI/CD pipelines with Jenkins, Docker, and Git, ensuring automated testing is integrated into every stage of development.
Collaborate closely with software developers, RF, QA, DevOps, and hardware teams to embed testing and automation best practices into the product lifecycle.
Define, track, and report test metrics such as coverage, execution reliability, and defect detection effectiveness.
Promote a culture of quality and continuous improvement, introducing new tools and practices to strengthen automation.
Act as a technical expert, conducting code reviews and ensuring adherence to coding/testing standards.

We are seeking an experienced and hands-on Senior RF Automation Engineer with strong, proven Python expertise to join our R&D team.
This role is focused on building and maintaining advanced automated test solutions for RF systems. You will architect, develop, and execute automation frameworks and tooling to validate complex RF designs and ensure world-class product reliability and performance.
This position is ideal for a self-driven engineer with a deep understanding of RF measurement techniques and a strong software development mindset. You will play a critical role in shaping our automation strategy and influencing next-generation RF product development.
Key Responsibilities:
Lead the development and maintenance of Python-based automated RF test frameworks, tools, and scripts.
Design, execute, and optimize RF test environments and automated test stations.
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 complex RF datasets, generate detailed reports, and communicate results to R&D leadership and cross-functional teams.
Collaborate with hardware, firmware, and software teams to embed automated testing into the entire development lifecycle.
Continuously enhance automation efficiency, coverage, and capability-leveraging best-practice testing methodologies.
Research and introduce innovative RF automation tools, frameworks, and workflows aligned with R&D goals.

We are seeking a driven Software Verification Engineer committed to excellence to join our innovative team and tackle challenges in high-speed networking. You will play a key role in simulating InfiniBand networks and validating complex software products that deliver advanced networking services for high-performance computing, machine learning, and AI workloads.

What Youll Be Doing:

Design and develop applications that simulate large-scale, high-speed networks, which are essential for testing software features that cannot be validated on physical hardware.

Build automated tests in a simulated environment for high-end hardware and software to ensure the robustness and reliability of our networking software stack using advanced testing platforms.

Collaborate with Software, Firmware development, and Architecture teams to foster open communication, understand new network technologies, and work together to ensure accurate modeling in your simulation applications.

Improve product quality by enhancing test coverage and developing comprehensive verification strategies.

As a Platform QA Engineer, you'll play a crucial role in ensuring the performance, reliability, and scalability of our workflow engine infrastructure. You'll focus on validating environments, functionality, authentication systems, and ensuring proper coverage for our microservices architecture. You'll work closely with development teams to validate that our platform components meet design specifications and performance requirements.
Key Responsibilities:
Design and execute plans for REST/gRPC APIs and workflow engine functionality
Validate authentication and authorization flows across microservices
dynamic task addition and execution in the workflow engine
Implement automated suites for contract validation
Verify proper service communication in environments
Perform integration testing between workflow components and services
Create comprehensive coverage for critical platform functionality
Collaborate with developers to improve testability of platform services
Identify, document, and track issues, validate they're resolved on time.

We are looking for a hands-on leader to head a small team that builds simulation models for our next-generation AI hardware and DSP. Modeling is done in several layers, from cycle-accurate, bit-exact block level modeling, to event-driven full IP system flows.
Your groups mission is to take part in the exploration phase of a project, giving architects rapid, high-fidelity feedback so they can explore design options, and to perform algorithmic regression, detecting deadlocks, sweep parameters and features, and understand system-level impact in a quickly adapting, dynamic development environment.
Beyond pure performance modeling, youll keep a sharp eye on functional accuracy and QA, follow emerging academic and industry trends, and inject the relevant insights into the product.
You will also champion modern AI-assisted coding tools (e.g., Cursor AI, GitHub Copilot) to lift the productivity of the senior software engineers on your team and shorten iteration cycles.
Responsibilities:
Lead and mentor a team of simulation and modeling engineers; set goals, review designs, and remove roadblocks. Design and implement transactional / cycle-accurate / bit-exact / event-driven models that faithfully represent advanced AI IP blocks (Transformers, CNN accelerators, custom DMA, interconnects, power-management units, etc.). Build automated flows to sweep architectural parameters and features, collect metrics, and visualize system-level impact on performance, area, power, and bandwidth. Analyze and debug complex issues such as deadlocks, race conditions, and performance hotspots; deliver concise root-cause reports and actionable recommendations. Collaborate daily with architecture, VLSI, compiler, and firmware teams to translate new algorithms and hardware ideas into model requirements and specifications. Own accuracy and QA of the simulation stack: golden-model alignment, coverage tracking, regression health, and release sign-off. Continuously survey academic papers and industry trends, extract meaningful insights, and propose innovative modeling techniques or architectural directions. Promote the adoption of AI-powered development tools to accelerate coding, code-review, documentation, and test generation across the team.

Were seeking an Site Reliability Engineer (SRE) with passion for maintaining highly reliable cloud-based services. In this role, you will support our companys software manufacturing services on our hybrid cloud infrastructure. You will partner with development, quality engineering and release engineering colleagues to support the health and well-being of the infrastructure hosting Software Production services. Creating/Maintaining service monitoring, improving automation, upholding security best practices and responding to various service situations will be your daily work. You will participate in communities of practice to coordinate and influence the design of our hybrid cloud platform. You will be co-responsible for defining Service Level Indicators (SLIs) and Service Level Objectives (SLOs) for the services the team supports, and executing remediation plans if the SLOs are not met.
In this role, you will be expected to respond in a timely manner during a service outage and participate in learning events to identify improvements that will make our services more resilient. Join us and our passion in helping our company to produce world-class open source software.
What you will do:
Be part of a globally distributed team, offering 24x7 support through a service model that leverages different time zones to extend coverage with regular on-call rotations.
Resolve service incidents by use of existing operating procedures, investigate outage causes and coordinate incident resolution across various service teams
Act as a leader and mentor to your less experienced colleagues, bring and drive continuous improvement ideas and help the team to benefit from technology evolution, such as AI tools utilization
Collaborate on incident retrospective reviews and corrective items implementation
Configure and maintain service infrastructure
Proactively identify and eliminate toil by automating manual, repetitive, and error-prone processes
Coordinate your actions with other company teams such as IT Platforms, Infrastructure, Storage and Network and ensure our services cloud deployment meets quality expectations
Implement monitoring, alerting and escalation plans in the event of an infrastructure outage or performance problem
Work with service owners to co-define and implement SLIs and SLOs for the services youll support, ensure those are met and execute remediation plans if they are not.

We are seeking an experienced Software Team Leader to lead the design, implementation, and optimization of our graph compiler key backend functionalities. You will own and drive the development of compiler infrastructure that transforms high-level computational graphs into efficient, hardware-optimized execution flows. This role combines deep technical leadership with people management responsibilities.
Responsibilities:
Take full ownership of key components within the graph compiler backend. Lead, mentor, and grow a team of talented software engineers; set priorities, review designs, and ensure timely, high-quality delivery. Drive the definition and the implementation of backend compiler architecture to support various graph IR transformations, optimization passes, and hardware abstractions. Lead the identification and implementation of compiler-level optimizations to maximize performance and efficiency of workloads on target hardware. Drive clear and transparent work planning by balancing performance goals and time-to-market considerations, fostering a proactive can-do mindset across the team. Establish best practices for code quality, testing, documentation, and continuous integration within the compiler team. Work closely with frontend compiler, runtime, architecture and hardware design teams to ensure seamless integration across the software stack.

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/network operating system functionality.
Validate smart NIC performance and integration with SONiC datapath
Perform functional, performance, aour company nd 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.

we are looking for a Graph Compiler Software Senior Team Leader.
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.