Test Job 02 09 Jobs

About AlphaSense: The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! About the Role: As a Staff Quality Engineer on the Content Portfolio team, you will own and drive test strategy, build automation frameworks, and embed a culture of quality ownership across the engineering organization. Your deep expertise in automation, cloud services, Kubernetes, and modern programming languages will directly shape how we test, release, and deliver reliable software at scale. You will partner closely with developers, product managers, and platform teams to define test requirements, architect quality infrastructure, and ensure AlphaSense ships with confidence at velocity. You will: Lead the development of test automation frameworks across UI, API, and GraphQL layers, focusing on reliability, maintainability, and speed Design and integrate AI evaluation frameworks to assess accuracy, consistency, and reliability of LLM-powered features L

About the Team OpenAI’s Industrial Compute organization is building the infrastructure required to develop and operate increasingly capable AI systems at global scale. The Manufacturing Operations team works across Hardware Engineering, Manufacturing Engineering, Manufacturing Quality, Rack Integration, System Enablement, Supply Chain, Logistics, Deployment, and Hardware Operations to convert complex hardware designs into reliable production systems. We partner closely with ODMs, JDMs, contract manufacturers, and component suppliers to ensure that servers, racks, networking equipment, and supporting infrastructure are manufactured, validated, and delivered at the quality and scale required by OpenAI. About the Role We are seeking a Technical Program Manager to lead manufacturing operations programs across OpenAI’s hardware supply base in Singapore and the broader APAC region. You will own cross-functional execution from new product introduction through production ramp and sustaining operations. You will coordinate manufacturing partners and internal engineering teams around factory readiness, capacity, material availability, build plans, validation, quality gates, issue resolution, and delivery commitments. This role requires strong technical fluency, disciplined program management, and the ability to operate directly with manufacturing partners in fast-moving, high-stakes environments. You should be comfortable working at both the factory floor and executive-review levels, translating complex manufacturing conditions into clear risks, decisions, and recovery plans. This role is based in Singapore and requires regular travel to manufacturing partners across the APAC region. Key Responsibilities Lead manufacturing operations programs for AI servers, racks, networking systems, and related infrastructure across regional manufacturing partners. Own integrated program plans spanning NPI, factory readiness, material availability, tooling, test development, qualification,

Work Flexibility: Onsite This role will be based in one of our Cork sites. Perform testing on medical device products and components using automated, semi-automated and manual methods. Follow test request protocols and report through mainly written but also verbally on the results of the tests. Evaluate variable data and understand and articulate attributes of product and component performance. Throughout the placement, you will be an integral part of Stryker’s 2026 Cooperative cohort. Tasks and responsibilities may include: Together, with your Stryker team leader and college supervisor, identify a process improvement project along with project objectives, scope, success factors, milestones and evaluation metrics Provide support to Research & Development, Advanced Operations and Global Quality Operations on the development and verification testing of new and existing products Develop and coordinate inspection and testing procedures for prototypes, components and products Formulate test guidelines and procedures and recommend revisions of specifications where necessary Set up and perform routine to non-routine experiments of moderate scope which comply with FDA requirements and appropriate engineering standards Extract and process test data/findings into both formal written and verbal reports which comply with FDA requirements and appropriate engineering standards Assist in designing, installing and maintaining process sampling systems, procedures, statistical techniques, testing mechanisms, equipment and fixtures Comply with documentation procedures and maintain test laboratory housekeeping standards to the highest level Coordinate with facilities and

We are seeking a qualified Senior Software Tools Development Engineer to join our GPU SWQA team. The successful candidate will have strong experience applying AI technologies to automate test cases and a deep understanding of Windows operating systems. Extensive knowledge of GPU, CPU, SoC, x86, and ARM architectures is required, along with expertise in PC I/O architecture and common bus interfaces such as PCIe, USB, and SATA. Familiarity with specifications for general PC architecture components is a plus. What you’ll be doing: Design and implement automated tests incorporating AI technologies for NVIDIA's device driver software and SDKs on windows platforms. Build tools/utility/framework in Python, C# or equivalent which would help automate and optimize the testing workflows in GPU domain. Develop and carry out automated and manual tests, analyze results, identify and report defects. Rigorously drive test automation initiative. Build innovative ways to automate and expand our software testing. Expose defects and constraints; Isolate and debug the issue(s) and find the root cause; Contribute to the solution and drive to closure. Measure code coverage for the software under test, analyze and drive code coverage enhancements. Develop applications and tools that accelerate development and test workflows and write fast, effective, maintainable, reliable and well documented code. Generate and test compatibility across a range of products and interfaces and validate different key software applications across a test matrix designed to test both breadth and depth. Provide peer code reviews including feedback on performance, scalability and correctness. Report test coverage and Go/No-Go status for deliverables, escalate critical issues, and drive them to closure. Participate in root cause analysis and corrective actions to continuo

Job Title Automation Engineer - C# Job Description Automation Engineer - C# As an Automation engineer, you will ensure that the complete and integrated MR systems meet the requirements as defined in the System Requirements Specifications and that all features are implemented and verified correctly. To improve test efficiency and coverage, selected verification tests and regression test suites are automated using C# .NET. The Test Automation Engineer plays a key role in the development, execution, and maintenance of automated test suites, working in close collaboration with verification engineers and the test automation team located in Bangalore, India. Your Role: 5+ years of proven experience in software development and/or test automation within a complex, high‑tech environment. Effectively communicates with stakeholders, escalates or removes impediments, supports risk management, and drives continuous improvement. Keeps technical knowledge up to date and translates emerging trends (e.g., Model‑Based Testing, AI‑driven testing) into practical applications within a high‑tech environment. Coaches and mentors team members on test automation practices, tools, and processes. Strong expertise in software development, testing, and debugging, with a quality‑first mindset. Expertise in C#. Good understanding of modern test automation trends, frameworks, and best practices. Experience in setting up, evolving, and maintaining test automation infrastructure. Strong quality drive, with attention to robustness, reliability, and maintainability of test solutions. Experience working in global, multicultural teams, collaborating across sites and disciplines. Demonstrates a continuous improvement mindset and leads by example. Strong communication and documen

We are seeking a qualified Software Tools Development Engineer to join our GPU SWQA team. The successful candidate will have strong experience applying AI technologies to automate test cases and a deep understanding of Windows operating systems. Extensive knowledge of GPU, CPU, SoC, x86, and ARM architectures is required, along with expertise in PC I/O architecture and common bus interfaces such as PCIe, USB, and SATA. Familiarity with specifications for general PC architecture components is a plus. What you’ll be doing: Design and implement automated tests incorporating AI technologies for NVIDIA's device driver software and SDKs on windows platforms. Build tools/utility/framework in Python, C# or equivalent which would help automate and optimize the testing workflows in GPU domain. Develop and implement automated and manual tests, analyze results, identify and report defects. Rigorously drive test automation initiative. Build innovative ways to automate and expand our software testing. Expose defects and constraints; Isolate and debug the issue(s) and find the root cause; Contribute to the solution and drive to closure. Measure code coverage for the software under test, analyze and drive code coverage enhancements. Develop applications and tools that accelerate development and test workflows and write fast, effective, maintainable, reliable and well documented code. Generate and test compatibility across a range of products and interfaces and validate different key software applications across a test matrix designed to test both breadth and depth. Provide peer code reviews including feedback on performance, scalability and correctness. Report test coverage and Go/No-Go status for deliverables, escalate critical issues, and drive them to closure. Participate in root cause analysis and corrective actions to continuously im

Job Details: Job Description: In this role, you'll build software capabilities to automate the build, test, and deployment of Intel's Process Design Kit (PDK). A PDK is a collection of artifacts representing Intel's semiconductor process, used by product designers to model, implement, and verify Intel's mobile, desktop, and server products before manufacturing. You'll be a member of the Design Technology Platform organization, working closely with teams in the United States, Bangalore, and Penang to build world-class DevOps infrastructure that shapes the future of deploying PDKs to silicon product development teams at Intel. Qualifications: Bachelor's or Master's degree in Computer Science, Computer Engineering, or another closely related field. 7-12 years of experience with a Bachelor's degree or Master's degree in software development and engineering. Excellent Python programming skills. Expert-level knowledge of pytest concepts. Expert-level experience with GitHub-based Jenkins CI/CD deployment, enablement, and debugging. Proven knowledge of Agile software engineering practices, IT environments, and DevOps principles and processes. Excellent debugging and problem-solving skills. Excellent written and verbal communication skills; ability to present complex issues with clarity to drive decisions. Must have hands-on experience with AI tools and demonstrated experience building AI agents/tools. Exposure to VLSI PDK domain is preferred. Strong team player with proven ability to collaborate effectively across cross-functional and geographically distributed teams. Job Type: Experienced Hire Shift: Shift 1

We are looking for a quality-focused Manual / Automation Tester to design, execute, and maintain automated and manual test solutions. The role involves functional and non-functional testing, automation framework development, defect management, and collaboration with development teams to ensure high-quality software delivery. Key Responsibilities: Analyse requirements and prepare test scenarios and test strategies Design, develop, execute, and maintain automation scripts using Playwright or Selenium with Java Perform Functional, Regression, Integration, System, Smoke, Sanity, and E2E testing Develop reusable automation frameworks and maintain test assets and environments Integrate automated test suites into CI/CD and release cycles Identify, track, and verify defects while coordinating with development teams Participate in Agile ceremonies and collaborate with cross-functional teams Improve test coverage, automation efficiency, and overall testing processes Required Skills & Qualifications: 3 7 years of hands-on experience in Manual and Automation Testing Strong experience with Playwright or Selenium WebDriver using Java Good knowledge of TestNG, Maven, Git, SQL, SDLC/STLC, and Agile/Scrum Experience in API testing using Postman, REST Assured, or similar tools preferred Exposure to CI/CD tools such as Jenkins, Azure DevOps, or GitHub Actions preferred Finance/Payroll application experience and UK Payroll domain knowledge are highly desirable Strong analytical, debugging, problem-solving, and communication skills

inspects products, materials, or services to ensure they meet legal, safety, and company standards. They test samples, log defects, reject faulty items, and report issues to managers to keep production accurate and safe.

Datadog is looking for an Engineering Manager to lead and grow our Code Coverage team, which is building the next generation of AI-powered developer tooling. This team owns Datadog’s Code Coverage product across the entire stack, helping customers track and enforce test coverage. Code Coverage is part of the Software Delivery suite, which enables engineering teams to move faster and more securely. In this role, you will lead and develop a high-performing engineering team in an ambiguous environment. You’ll set technical direction, drive execution, and remain hands-on. You will partner closely with customers and product management to evolve the product into an automated system that leverages production signals and AI to improve test quality, relevance, and performance. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Lead and develop a team of four engineers in Madrid, supporting their growth through mentorship, regular 1:1s, and clear performance feedback, while fostering a strong culture of ownership and quality Guide the evolution of Code Coverage into an AI-powered system that uses production data and LLMs to identify coverage gaps and improve test effectiveness Partner with product management and customers to define and evolve the roadmap, aligning stakeholders and translating strategy into clear priorities Stay hands-on by contributing to architecture and design decisions, and by participating in the on-call rotation Who You Are: You have a strong interest in AI and agentic engineering, and are curious about how LLMs and autonomous systems can improve developer workflows You have experience leading an engineering team as a tech lead or manager, with a track record of developing engineers at different level

We are seeking passionate and driven individuals with a strong foundation in computer science to join our team. In this role, you'll have the opportunity to design, build, and test software that enhances MongoDB products while solving complex technical challenges. You’ll collaborate with cross-functional teams, balance innovation with delivery, and contribute to features that empower our global community of users. Join us in a supportive and inclusive environment that values your unique perspective and fuels your growth. We are looking to speak to candidates who are based in Dublin for our hybrid working model. What we are looking for in you In the process of receiving or having received a Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field Recent graduates (including Summer 2026) or professionals with up to 18 months of experience. Have a foundation in computer science theory, with competencies in data structures, algorithms, and software design Proficient in one of our commonly used languages which include C++, Go, Ruby, Python, Java, Javascript, Node.js, or comparable high level programming languages Experience writing and testing software whether as part of an internship, in a personal project, in a coding competition, or for research What you'll find at MongoDB Writing and testing software in commonly used high level programming languages, such as C++, Go, Ruby, Python, Java, Javascript, Node.js Identifying, designing, testing, and supporting new features in MongoDB products, particularly utilizing competencies in data structures, algorithms, and software design Leading software projects that help users maintain and understand their MongoDB deployments Solving problems with context in mind, balancing the needs of the team with the desire to get to the bottom of issues Maintaining a balance between delivering software and performing research and development Working closely with cross functional teams to create end user fea

About the Team OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI. About the Role We're looking for an Optical Interconnect System Engineer to design, qualify, and deploy scalable optical connectivity for large-scale AI infrastructure. This role spans fiber-system architecture, optical-mechanical integration, validation, reliability, deployment, and serviceability. You will work with optical, mechanical, electrical, networking, manufacturing, reliability, and data-center teams to translate system needs into practical interconnect solutions. This is a hands-on role for someone who can connect design decisions with installation, qualification, troubleshooting, and long-term operational performance. In this role, you will: Define optical interconnect architectures and requirements across hardware platforms and rack-level systems. Design high-density fiber systems for performance, density, reliability, installation, and serviceability. Lead optical-mechanical integration and cross-functional design reviews. Develop test and qualification plans for optical components, modules, switching platforms, and integrated systems. Own optical loss budgets, routing guidelines, handling requirements, and serviceability criteria. Support system bring-up, deployment, troubleshooting, failure analysis, and reliability improvement. Create reusable design guidelines, interface requirements, and qualification methods. You might thrive in this role if you have: Core experience Experience desi

About the Role The Mechanical Commissioning Project Engineer owns mechanical commissioning planning, readiness, quality coordination, and test execution oversight for the project. This role ensures mechanical systems are installed, inspected, started, balanced, controlled, and tested in a way that supports reliable integrated facility performance. Reports to the Commissioning Project Lead and partners closely with mechanical contractors, equipment vendors, design/engineering teams, the electrical commissioning lead, controls stakeholders, and vendor field/test engineers. Key Responsibilities Develop and maintain the mechanical commissioning scope, readiness criteria, inspection strategy, and discipline test execution plan. Review mechanical design packages, specifications, submittals, method statements, controls narratives, sequence assumptions, and testing requirements for commissionability and risk. Coordinate mechanical QA/QC inspections with contractors and vendor field/test engineers, including installation checks, pre-functional readiness, deficiency capture, and closeout tracking. Own mechanical commissioning procedure development and review, including equipment startup, functional testing, controls verification, balancing prerequisites, failure mode validation, and integrated systems testing inputs. Coordinate with equipment vendors on factory/site acceptance requirements, startup support, test prerequisites, documentation packages, and vendor participation during critical tests. Support readiness and execution for cooling, ventilation, hydronic, pumping, heat rejection, controls, and other project-specific mechanical systems. Lead discipline-level review of mechanical test results, deficiencies, corrective actions, retest requirements, trend logs, and acceptance evidence. Maintain mechanical commissioning dashboards and status inputs for the Commissioning Project Lead, including risk items, resource needs, test readiness, and issue aging. Partner with the E

About the Role The Electrical Commissioning Lead owns electrical commissioning planning, readiness, quality coordination, and test execution oversight for the project. This role ensures electrical systems are inspectable, testable, safe to energize, and ready for coordinated functional and integrated systems testing. Reports to the Commissioning Project Lead and partners closely with electrical contractors, equipment vendors, design/engineering teams, the mechanical commissioning lead, controls stakeholders, and vendor field/test engineers. Key Responsibilities Develop and maintain the electrical commissioning scope, readiness criteria, inspection strategy, and test execution plan. Review electrical design packages, specifications, submittals, method statements, sequence assumptions, and testing requirements for commissionability and risk. Coordinate electrical QA/QC inspections with contractors and vendor field/test engineers, including installation checks, pre-functional readiness, deficiency capture, and closeout tracking. Own electrical commissioning procedure development and review, including startup, energization readiness, functional testing, failure mode validation, controls interfaces, and integrated systems testing inputs. Coordinate with equipment vendors on factory/site acceptance requirements, startup support, test prerequisites, documentation packages, and vendor participation during critical tests. Support energization planning, switching and safety coordination, access sequencing, temporary conditions, witness points, and hold points. Lead discipline-level review of electrical test results, deficiencies, corrective actions, retest requirements, and acceptance evidence. Maintain electrical commissioning dashboards and status inputs for the Commissioning Project Lead, including risk items, resource needs, test readiness, and issue aging. Partner with the Mechanical Commissioning Lead on cross-discipline dependencies, including controls, life safety int

About the Team Codex is OpenAI’s first-party developer product focused on agentic software engineering. We’re building tools that help engineers design, write, test, and ship code faster—safely and at scale. We partner tightly with research and product to translate model advances into tangible developer productivity. About the Role As a Data Scientist on Codex, you will measure and accelerate product-market fit for AI developer tools. You’ll define what “developer productivity” means for our product, run experiments on new coding models and UX, and pinpoint where the model helps or hurts across languages and tasks. Your insights will directly shape how an entire industry builds software. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will Embed with the Codex product team to discover opportunities that improve developer outcomes and growth Design and interpret A/B tests and staged rollouts of new coding models and product features Define and operationalize metrics such as suggestion acceptance, edit distance, compile/test pass rates, task completion, latency, and session productivity Build dashboards and analyses that help the team self-serve answers to product questions (by language, framework, repo size, task type) Diagnose failure modes and partner with Research on targeted improvements (model quality signals, user feedback, evals) You might thrive in this role if you have 5+ years in a quantitative role at a developer-facing or high-growth product Fluency in SQL and Python; comfort with experiment design and causal inference Experience defining product metrics tied to user value Ability to communicate clearly with PM, Eng, and Design—and to influence product direction You could be an especially great fit if you have Strong programming background; ability to prototype, run simulations, and reason about code quality Familiarity with IDE/extensi