Required SoC Test Automation and Infrastructure Lead, Cloud
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
Our data centers are the most advanced in the world. In this role, you will help to manufacture the SoCs that power these data centers by developing and deploying comprehensive manufacturing test and data analytics solutions for high-volume manufacturing at wafer fabrications and Outsourced Semiconductor Assembly and Test (OSATs). You will have an opportunity to create silicon in the most advanced technologies and follow it into the field to close the loop back to design and test for the next-generation of chips.
You will help to integrate SoC technologies into devices and drive manufacturing test flows to assure performance and screen devices, drive yield improvement, cost optimization and work closely with cross-functional teams to ensure the optimal test coverage in production to ensure high quality SoCs
You will have a strong understanding of IC flows, wafer processing, testing, qualification, diagnostics and failure analysis. You will work with various groups to deploy screening methodologies and flows for data processing, analytics and diagnostics. You will drive the release of cost effective production test solutions into mass production to hit yield and quality goals.
Responsibilities:
Provide tools, set the environment and create automation to silicon engineering (SiEng) teams, collaborate with Test, Product, quality and reliability (Q&R) and system-level test (SLT) teams.
Create smooth and effective ways to manage silicon engineering (SiEng) datastream to and from suppliers and internally, between different platforms, while optimizing formats and datalogs, convert per need.
Verify test solutions on pre-silicon models (simulation or emulation) and support Automated Test Equipment (ATE) test development setup and environment.
Develop test method for ATE platforms.
Provide pre and post silicon dashboards and indicators that will reflect the status, demonstrate progress and point on the gaps.

we are looking for a Software QA Engineer with a strong background in networking and automation to join our infiniband (ib) and nvlink (nvl) switch QA team. our team is responsible for qualifying software stack for our ib switch, router, gateway and nvlink systems, delivering world-class networking solutions.
you will work at the heart of cutting-edge technology, validating software management features, designing topologies, developing automated TEST suites, and collaborating with engineering and product teams to ensure delivery of robust and scalable systems.
what you'll be doing:
design, develop, and execute manual and automated tests as part of software stack releases.
define, build, and manage testbed topologies for functional, regression, and performance validation.
analyze architectural designs and feature requirements for new networking capabilities.
debug failures, identify root causes, and verify fixes delivered by development teams.
schedule TEST runs, track testing progress, and generate TEST status reports with detailed defect documentation.
write and maintain automation tests across multiple frameworks ( Python, PERL ), enhancing TEST efficiency and scalability.
collaborate with cross-functional global teams including r&d, Product Marketing, and system verification.

we are looking for a AI-First QA Automation Engineer.
As an AI-First QA Automation Engineer, you'll build and scale Playwright automation while using AI tools and agents to transform how testing is developed and executed. You'll build reusable agent skills and workflows, configure agent environments, and optimize AI-assisted test generation, execution, failure analysis, and bug reporting. Working closely with Engineering, you'll help embed reliable AI-driven automation across the R&D lifecycle.
What youll do:
Build Playwright Automation: Design, build, and maintain reliable end-to-end automation frameworks with a strong focus on stability and low flakiness.
Build and Optimize Testing Agents: Develop testing agents and their execution harnesses, including tool integrations, context management, and reusable skills. Evaluate and improve their reliability across test generation, execution, failure analysis, and bug reporting.
Drive AI Adoption: Help QA and Engineering teams adopt effective AI workflows by building shared agent configurations, reusable skills, and practical guidance for everyday development and testing tasks.
Integrate with CI/CD: Embed Playwright automation and AI-driven analysis into GitHub Actions and CI/CD pipelines, including automated test reporting and root cause analysis.
Test AI Features: Develop strategies to validate AI-powered product features, including instruction following, output quality, tool use, and agent state management.

We are looking for a detail-oriented and technically skilled Senior QA Engineer to join our engineering team and help ensure the quality, reliability, and security of our product.
In this role, you will own the quality of complex cybersecurity features from design through production, working closely with developers, product managers, and automation engineers. You will play a key role in defining test strategies, identifying risks early, and ensuring high-quality releases.
As part of your daily workflow, you will leverage AI-powered tools to improve test planning, discover edge cases, investigate defects, analyze logs, and enhance overall testing efficiency.
Responsibilities
Own the automation domain end-to-end: strategy, architecture, implementation, and continuous improvement
Design, build, and maintain scalable test automation frameworks across UI, API, integration, and system layers
Develop hands-on automation code in Python and/or TypeScript
Drive quality standards across engineering teams, partnering closely with developers, QA, DevOps, and product stakeholders
Define and implement automation best practices for reliability, scalability, maintainability, and fast feedback
Integrate and optimize automation within CI/CD pipelines to enable rapid, confident releases
Test complex SaaS, cloud, and cyber-related product flows, including security-sensitive scenarios, permissions, integrations, and system behavior
Use AI tools to support automation development, test generation, debugging, log analysis, documentation, and coverage improvement
Proactively identify coverage gaps and improve system testability, observability, and debuggability
Participate in system design and feature planning to embed quality from the earliest stages
Build and evolve testing environments using scripting, infrastructure-as-code, and cloud-native tools
Mentor and guide engineers, elevating automation standards across the organization.

we are a leading direct-to-consumer platform for app publishers.
we help publishers sell digital goods directly to their users - bypassing traditional app store commissions and owning the full payment and commerce experience.
the result: higher margins, better flexibility, and a more direct relationship with end users.
backed by $89m from leading investors and operators, weve grown 14x in the past year and now process over a billion dollars annually. were building the infrastructure that lets modern app businesses take back control of monetization - at scale
as a QA Automation tech lead, you will drive our automation strategy and testing frameworks. youll take end-to-end ownership of the automation architecture across all testing layers (api, UI, and e2e), from design to ci/cd integration. youll collaborate closely with r&d and product, serving as the technical leader championing quality across the team.
responsibilities
drive the automation strategy and framework roadmap, and be responsible for the framework architecture and technical standards (design patterns, structure, reusable infrastructure)
define the automation approach across testing layers: api, service-level, UI, and end-to-end, including mocking and sandbox strategies for third-party payment providers
own automation quality itself: TEST stability, flakiness reduction, execution time, and suite reliability
define and report quality metrics: coverage, pass rate, flakiness, and execution trends
integrate and evolve automation in ci/cd pipelines (github actions) for fast, reliable feedback on every change
represent testability in design and architecture reviews and surface risks early (shift-left)
partner with developers, product, and MANUAL QA to decide what gets automated, at which layer, and what does not
evaluate and introduce new tools and approaches, including ai-assisted testing workflows

Required Silicon Test and DFT Engineer, Cloud
About the job
In this role, youll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers our most demanding AI/ML applications. Youll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
Responsibilities
Collaborate with Architecture, Design and Verification teams to develop new product bring-up, validation, characterization, and qualification strategies and manufacturing test solutions for new High Performance Computing (HPC) products in advanced process technologies.
Verify test solutions on pre-silicon models (simulation or emulation) and develop Automated Test Equipment (ATE) test modules and binning flows.
Develop and validate test programs on Automated Test Equipment (ATE) platforms for new product integration (NPI) in preparation for high-volume manufacturing (HVM), working with ATE vendors and internal cross-functional teams.
Manage product sustainment support, including analyzing volume data, improving test time and yield, assessing test escapees and return merchandise authorizations (RMAs), localizing failures, implementing containment measures, and partnering with design, manufacturing, and quality and reliability teams to identify root causes and implement corrective actions.
Build tools, flows and methodologies to continuously improve and automate the testing life-cycle.

we are looking for a QA Automation Engineer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
Key Responsibilities
Develop Testing & Automation SW tools from the ground up, interfacing to various systems and tests (Python-based).
Work closely with developers to create and maintain a state of the art system tests
Define, develop and execute testing plans with deep system knowledge and understanding.

Required SoC Test and Product Engineer Lead, Cloud
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
Our data centers are the most advanced in the world. In this role, you will help to manufacture the SoCs that power these data centers by developing and deploying comprehensive manufacturing test and data analytics solutions for high volume manufacturing at wafer fabs and outsourced semiconductor assembly and tests (OSATs). You will have an opportunity to create silicon in the most advanced technologies and follow it into the field to close the loop back to design and test for the next generation of chips. You will help to integrate SoC technologies into devices and drive manufacturing test flows to assure performance and screen devices.
You will drive yield improvement, cost optimization and work closely with cross-functional teams to ensure the optimal test coverage in production to ensure high quality SoCs. You will need to have a strong understanding of IC flows, wafer processing, testing, qualification, diagnostics, and failure analysis. You will work with various groups to deploy screening methodologies and flows for data processing, analytics and diagnostics. You will drive the release of cost effective production test solutions into mass production to hit yield and quality goals.
Responsibilities
Develop and implement strategies for high-volume manufacturing of SoC products, including troubleshooting, ATE test coverage optimization, defective parts per million reduction, test cost reduction, power and performance assurance, and product data integration and correlation between system, ATE, and SLT.
Drive volume ramp and mass production through test program releases, volume data analytics, lot disposition, extended test time reduction, yield improvement, and return merchandise authorization managing.
Drive product leadership for silicon engineering organization from architectural definition to global availability.
Collaborate with cross-functional teams across the globe including ATE and SLT test engineering, quality and reliability, packaging, supplier management and operations to build, deploy, and maintain a high volume manufacturing screening solution.

what if your Python automation caught a critical asic bug before the physical silicon was even manufactured? our simulation platforms make that happen every release cycle! we are the system ethernet QA team at our r&d center, responsible for the testing and qualification of virtual networking silicon (simx) and software-from l2 forwarding and l3 routing to overlays, qos, and security. with simx, developers and QA engineers get hardware-free, early access to the asic for better debugging.
we are looking for a senior QA software engineer who combines network protocol expertise with strong Python automation skills. does debugging a bgp evpn route leak excite you as much as refactoring a TEST framework? then we should talk!
what you'll be doing:
we don't just complete checklists; we collaborate closely with r&d to lead the quality of new features from design to deployment. in this role, we:
review architectural designs and requirements for new features introduced to the product
drive the design, development, and execution of tests across functional, performance, and security scopes as part of sw ga and update releases
develop Python automation suites built on clean oop principles
chase down defects and validate fixes until we fully resolve the root cause
leverage the simx platform to validate code and debug the asic long before hardware arrives

This is a QA-first role, needing strong manual QA skills and an eye for the risks unique to a CMS-driven site (theme/plugin updates, page builders, third-party scripts, SEO). Automation is a core part of the role - you'll use AI-assisted tools and modern frameworks to steadily expand test coverage and reduce manual overhead.

Responsibilities

Act as a quality champion for the marketing website, fostering a strong testing culture and driving best practices across manual and automated QA.
Collaborate with Marketing stakeholders to validate specifications, align on quality expectations, and ensure smooth release cycles.
Own site quality throughout the development lifecycle - from requirements and design validation to implementation, release, and post-launch monitoring.
Serve as the go-to expert on web quality, acting as the key link between Marketing, Web Development, and external stakeholders.
Write test plans and translate them into automated tests where relevant.
Build regression, functional, and end-to-end tests to protect site quality.
Manually test new features, landing pages, and content updates for release readiness.
Test across browsers and devices for a consistent user experience.
Debug flaky tests and keep automated suites healthy.
Track bugs through to resolution.
Check page performance and SEO-critical elements pre-release.
Partner with Marketing and Web Development to define coverage for upcoming changes.