Verification Engineer jobs in Ra'anana

We are building the next generation of verification infrastructure for complex networking and distributed systems. We are looking for a software engineer with strong hands-on experience in test automation and system verification, combined with practical experience applying AI to engineering workflows. This is a hands-on verification role. You will validate product features, develop automated tests, maintain CI and regression coverage, and build deep domain expertise in networking and telemetry. In parallel, you will build agentic workflows that understand product changes, plan coverage, generate and execute tests, analyze failures, and provide engineers with trustworthy, actionable results. What you'll be doing • Own the end-to-end verification of product features, including requirements analysis, risk assessment, test planning, system-level validation, automated test development, execution, and release readiness. • Build and maintain Python-based test infrastructure, CI pipelines, and regression suites, continuously improving coverage, reliability, execution time, and the quality of engineering feedback. • Develop deep domain expertise in networking, telemetry, and distributed systems, and use it to investigate complex failures across the product, test automation, and lab environment. • Design and build agentic verification workflows that analyze product and code changes, plan test coverage, select or generate tests, execute them, observe results, and perform controlled diagnosis and correction loops. • Turn expert verification practices into repeatable and measurable workflows, integrating agents with source control, requirements, CI/CD, issue tracking, lab orchestration, and observability systems while defining test oracles, guardrails, human approval points, evaluation, and tracing. What we need to see • B.Sc. in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent practical experience. • 3+ years of software engineering experience, with significant hands-on work in test automation, system verification, test infrastructure, or related areas. • Deep, production-grade Python expertise, including type-safe data modeling, clear APIs and tool contracts, automated testing, static analysis, performance-aware implementation, and mechanisms for validating and monitoring AI-generated code. • Experience testing complex product features and building production-quality automation, CI pipelines, and regression environments, together with strong debugging skills and knowledge of Linux, Git, APIs, containers, and modern software engineering practices. • Hands-on experience building reliable LLM-based or agentic workflows beyond the prototype stage, including tool integration, code generation or modification, execution and feedback loops, controlled corrective actions, evaluation, guardrails, observability, context management, and prompt or model versioning. Ways to stand out from the crowd • Experience with networking, telemetry, distributed systems, data center infrastructure, or hardware and software integration. • Experience building system-level verification frameworks, large regression environments, test labs, topology orchestration, or traffic-generation systems. • Experience validating high-scale data ingestion, observability pipelines, metrics, logs, traces, or other telemetry-intensive systems. • Experience with agent-driven change-impact analysis, test selection, failure clustering, root-cause analysis, automated debugging, or flaky-test management. • A track record of turning engineering or AI prototypes into reliable capabilities adopted by multiple engineers or teams, combined with a strong systems mindset and a practical approach to establishing correctness. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you are passionate about building mission-critical systems at the frontier of AI infrastructure, we want to hear from you.

We are seeking a talented and driven Senior Software Verification Engineer to join our innovative team and tackle SW verification challenges in the domains of high-speed networking, virtualization, and security. You will play a key role in validating and testing complex software products that support Ethernet and InfiniBand protocols, delivering advanced networking, storage, and security services for cloud, compute, and AI workloads. What You’ll Be Doing: • Develop and Automate Testing: Design, implement, and maintain automated test scripts and frameworks (primarily in Python) to verify the correct functionality of our software products. • End-to-End Feature Ownership: Deep dive into feature sets, taking responsibility from test planning through to final implementation and full automation. • System & Integration Validation: Validate software functionality and performance through system-level and integration testing, utilizing Linux-based environments and virtualization tools. • Test Environment Management: Set up, maintain, and optimize test environments using Linux, Docker, virtual machines, and other modern tools. • Collaboration & Communication: Work closely with software, DevOps, architecture, and product teams to define test requirements, coordinate releases, and ensure high-quality product delivery. • Continuous Improvement: Drive design verification flows, contribute to methodology improvements, and leverage planning/tracking systems to manage release progress and build release indicators. • Defect Analysis: Analyze test results, file defects, and track issues to closure, ensuring robust and scalable solutions. What We Need to See: • Bachelors/master’s degree in computer science or computer engineering, or equivalent experience • 5+ years of experience in software testing, QA automation, or software engineering. • Strong proficiency in Python and scripting for automation. • Solid experience with Linux-based environments, including system tools and command-line utilities. • Proven understanding of computer networking and modern Linux operating systems. • Familiarity with software testing, integration, and system validation practices. • Excellent problem-solving, critical thinking, and communication skills. • Ability to work independently, manage multiple tasks, and drive technical initiatives. • Great interpersonal skills, agility, and determination for success. • Fluent English; strong presentation and public speaking abilities. Ways to Stand Out from the Crowd: • Deep technical know-how and familiarity with networking protocols or low-level system tools. • Experience with Docker, KVM, or other virtualization technologies. • Knowledge of CI/CD tools (e.g., Jenkins, GitLab CI) and test reporting tools (e.g., Allure, Grafana, Kibana). • Experience with large HW+SW systems and advanced Linux OS technologies. • Proficiency with GIT, Bash, and other scripting languages. If you are creative, autonomous, and passionate about delivering world-class software solutions, we want to hear from you! Join us and work alongside some of the most forward-thinking and dedicated professionals in the industry. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.