Why TrueML? TrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. Consumers today want personal, digital-first experiences that align with their lifestyles, especially when it comes to managing finances. TrueML’s approach uses machine learning to engage each customer digitally and adjust strategies in real time in response to their interactions. The TrueML team includes inspired data scientists, financial services industry experts and customer experience fanatics building technology to serve people in a way that recognizes their unique needs and preferences as human beings and endeavoring toward ensuring nobody gets locked out of the financial system. The Opportunity: TrueML Products is seeking a highly experienced and motivated Sr Quality Engineer II to join our dynamic team and serve as a technical lead in our Quality Engineering team. This role is critical in driving our overall quality strategy, establishing best practices, and ensuring the delivery of high-quality software products. This position will report to the Manager, Quality Engineering and be deeply involved in defining the test automation architecture. The ideal candidate is hands-on, with a process improvement mindset. We are looking for someone who is eager to solve complex testing challenges and leverages GenAI tooling as a second-nature. Work-Life Benefits - Unlimited PTO - Medical benefit contributions in congruence with local laws and type of employment agreement What You’ll Do: - Technical Leadership: - Define and champion QE best practices, standards, and processes within the team and across engineering. - Evaluate and recommend new testing tools, technologies, and methodologies to enhance quality and efficiency, with a specific focus on promising agentic AI-powered solutions. - Drive the quality strategy and execution for significant product areas or projects. - Design, develop, and implement a scalable and maintainable test automation framework. - Drive improvements in QE processes, methodologies, and tools. - Participate in architectural discussions, providing input on testability and quality considerations. - Collaborate with development and product teams to integrate quality practices throughout the SDLC (Shift-Left). - Lead code reviews and provide constructive feedback on test automation code. - Provide technical guidance and support to QE team members, fostering their growth and development. - Hands-on Quality Engineering: - Design, develop, execute, and maintain automated test scripts for functional, regression, performance, and security testing. - Analyze application and system architectures to identify potential quality issues and design effective test strategies. - Perform exploratory, integration, and end-to-end testing - Identify, isolate, report, and track defects, working closely with developers to ensure resolution. - Analyze test results, generate test reports, and provide quality metrics to stakeholders. - Contribute to CI/CD pipeline integration for automated testing. - Stay current with industry trends and advancements in software testing and quality assurance, particularly in the rapidly evolving field of generative AI for QE. Required Qualifications: - Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. - 7+ years of experience in software quality engineering, with a strong emphasis on test automation. - Experience in building, and maintaining robust test automation frameworks (e.g., using Selenium, Cypress, Playwright, Appium, REST Assured, Pytest, JUnit/TestNG). - Strong programming/scripting skills in one or more languages (e.g., Python, Java, JavaScript, C#). - Strong understanding of software QA methodologies, tools, and processes. - Experience with API testing and automation tools (e.g., Postman, SoapUI). - Experience with CI/CD tools (e.g., Jenkins, GitLab CI, Azure DevOps, GitHub Actions). - Experience with version control systems (e.g., Git). - Experience leveraging GenAI tooling to generate tests and enhance test coverage - Excellent problem-solving, analytical, and debugging skills. - Strong communication and interpersonal skills Preferred Qualifications: - Master's degree in a related field. - Experience with performance and load testing tools (e.g., JMeter, k6, LoadRunner). - Experience with security testing concepts and tools. - Experience testing cloud-based applications (AWS, Azure, GCP). - Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). - Experience with databases and SQL. We are a dynamic group of people who are subject matter experts with a passion for change. Our teams are crafting solutions to big problems every day. If you’re looking for an opportunity to do impactful work, join TrueML and make a difference. Our Dedication to Diversity & Inclusion TrueML is an equal-opportunity employer. We promote, value, and thrive with a diverse & inclusive team. Different perspectives contribute to better solutions, and this makes us stronger every day. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Role Description We are seeking an organized and client-focused Work From Home Travel Planner to assist clients with researching destinations, coordinating travel details, and organizing personalized travel plans. This fully remote role is ideal for someone who enjoys travel, working with people, and managing details to help create smooth and well-organized trips. In this role, you will: - Communicate with clients to understand their travel preferences, timelines, and general goals for their trip. - Assist with researching destinations, reviewing available travel options, and helping coordinate reservations such as accommodations, cruises, vacation packages, and activities. - Help organize itineraries, confirm travel details, and ensure all information is accurate and properly documented. The ideal candidate is detail-oriented, proactive, and comfortable working independently in a remote environment. Strong communication skills and the ability to stay organized while managing multiple requests are essential to providing clients with a positive and seamless travel planning experience. Qualifications - Strong communication and organizational skills - Attention to detail and ability to manage multiple tasks - Comfortable using online platforms and digital tools - Ability to work independently in a remote environment - Customer service, hospitality, or administrative experience is helpful but not required Requirements - 100% remote work environment - Structured training and ongoing support provided - Opportunity to develop skills in travel planning and client coordination - Supportive team environment with growth opportunities - Applicants must be citizens of the United States, United Kingdom, Australia, Spain, Mexico, or LATAM regions

About Graphcore At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary As a Senior Manufacturing Product Engineer, you will be working closely with the Graphcore Design and Test Engineering teams, Quality and Supply Chain Management in support of NPI development and volume production. You will work closely with the relevant Contract Manufacturer (CM) to provide day to day manufacturing support as well as continuous improvements in manufacturing capabilities, quality and yield. A key focus for this role will be to develop and improve data-driven decision making methodology using lean six sigma and similar techniques within Graphcore and our suppliers. The Team The role will be as part of the Manufacturing and Technology Process team at Graphcore. This team is part of the Operations group and has members in Bristol, Cambridge and Taiwan. The team is responsible for developing and maintaining robust manufacturing processes at the wafer foundry, package assembly and PCBA subcontractors based in Taiwan. Key Responsibilities and Duties - Develop a deep technical understanding of the CM capabilities and ensure alignment with hardware design - Support the technical interface between internal engineering teams and the CM during NPI and mass production - Drive continuous improvement in PCB assembly process capability, yield, throughput, and quality at CM sites, working with Graphcore and supplier quality teams - Work with supplier engineering to apply Lean Six Sigma tools and statistical methods to reduce defects, variation, scrap, and rework. - Champion best practices in manufacturing data collection and management, traceability, analysis and reporting - Use manufacturing data analytics to identify process trends, systemic issues, and opportunities for automation or optimization. - Lead structured problem-solving activities using methodologies such as: DMAIC, 8D, fishbone analysis, FMEA and Design of Experiments - This position will require travel in Taiwan and global travel to Graphcore sites or to other suppliers. Essential Skills - Strong working knowledge and experience of L6 (PCB assembly) processes, equipment, materials and inspection - Experience in introducing and sustaining complex products in an SMT environment - Understanding of root cause analysis of manufacturing faults and their resolution - Understanding of manufacturing execution and engineering data collection systems - Have a data driven approach to decision making; experienced in industry standard statistical analysis tools (e.g. JMP, SQL, python) and data visualisation techniques - Lean Six Sigma Green/Black Belt and demonstrable experience implementing these methodologies in a production environment - Ability to work on own initiative as well as in cross functional and cross regional teams by employing strong interpersonal skills - Fluent in Mandarin with strong working proficiency in spoken and written English - Degree or equivalent in Electronic Engineering, Mechanical Engineering, Manufacturing, or related discipline Desirable - Ability to understand the interaction between silicon, package and PCB in order to provide DfMA feedback to design teams - Strong fault diagnosis, problem solving and failure analysis skills, eg ICT to SMT debug - Knowledge of L10 mechanical design and system build for HPC/AI data centre compute products Benefits In addition to a competitive salary, Graphcore offers a competitive benefits package. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Role Description As a Lead Engineer on our AI Tiger Team, you will play a critical role in designing, developing, and maintaining high-quality software applications using C# and React. You will set technical direction for the team, guide the adoption of AI-assisted development tools, and ensure the team ships reliable, well-tested software. You will be the senior technical voice — making architectural decisions, mentoring engineers, and defining what responsible, high-velocity AI-assisted development looks like in practice. This position requires a deep understanding of software engineering principles, strong .NET expertise, and hands-on experience with AI coding tools. What You'll Do - Build reliable systems that integrate large language models into our products - Leverage AI tools like Copilot and automation platforms to enhance product capabilities and engineering efficiency - Define standards for AI-assisted development across the team — what is acceptable, how to validate AI-generated code, and how to ship safely - Lead architectural analysis and reverse-engineering of legacy .NET applications to guide modernization - Lead code reviews and validate AI-generated code quality, security, and reliability - Own CI/CD pipelines and automated testing strategy across the team - Develop and maintain web applications using .NET (C#, ASP.NET Core/Framework) - Develop and optimize database solutions using MS-SQL Server, SQL Server, PostgreSQL, or NoSQL databases - Build responsive and dynamic user interfaces with React.JS - Proficiency in using Unit testing frameworks to write robust test suites - Continuous Integration and Continuous Delivery tools like Azure DevOps, GitHub Actions, Jenkins - Mentor and develop P3 engineers on .NET and AI development practices - Collaborate with cross-functional teams and other stakeholders - Implement RESTful APIs and integrate third-party services - Write clean, maintainable, and efficient code following best practices - Participate in code reviews, testing, and documentation - Stay up to date with emerging technologies and best practices in full-stack development Qualifications - Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience) - 10+ years of experience in software development, with hands-on technical lead experience - Agentic AI Development: Active engagement with AI coding tools (Claude Code, GitHub Copilot, Cursor) and a clear vision for team-scale responsible AI use - LLM Skills: Hands-on experience building AI agents with Large Language Models (LLMs), including Retrieval-Augmented Generation (RAG), as well as tuning models - LLM Model: Apt with GPTs, Llama, or any other LLM using frameworks such as LangChain, LangGraph. Knowledge of vector databases, memory systems, and human-in-the-loop workflows - AI Tools: Hands-on with AI-driven development tools, intelligent code assistance, and workflow automation - Experience in working with product-based companies, contributing to the development, enhancement, and scaling of high-quality products - Strong proficiency in C#, ASP.NET Core/.NET 8+, Web API, Entity Framework Core - Expertise in React.js, TypeScript, Redux, Next.js (a plus) - Experience with SQL Server, MS-SQL Server or NoSQL databases (MongoDB, Redis) - Knowledge of RESTful API development and integration - Search and analytics engine like Elastic Search - Experience with unit testing (xUnit, Jest, Moq) and integration testing - DevOps & CI/CD - Familiarity with Docker, Kubernetes, Azure DevOps - Security-aware: understands risks of AI-generated code and how to address them - Ensure high performance, scalability, and security of applications - Conduct code reviews, write unit tests, and follow TDD and Agile development practices - Highly organized — sets up reliable, well-documented systems for the long term - Mentor junior developers and collaborate with UX/UI designers and product teams - Excellent problem-solving and analytical skills - Strong communication and collaboration abilities - Ability to work independently and take ownership of projects - LLM Skills: Experience with using LLMs using embeddings, RAG, VectorDB and prompt engineering building production grade applications Requirements - Knowledge of the following technologies is a plus - Experience with GraphQL, WebSocket, or SignalIR - Knowledge of Microservices architecture - Familiarity with Blazor or Angular - Experience with Infrastructure as Code (Terraform, Bicep) - Development of complex application and system architectures - Queues like RabbitMQ, SQS - Hands on with Cloud (AWS / Azure) OR On Prem Data centers Company Description It is impossible to list every requirement for, or responsibility of, any position. Similarly, we cannot identify all the skills a position may require since job responsibilities and the Company's needs may change over time. Therefore, the above job description is not comprehensive or exhaustive. The Company reserves the right to adjust, add to or eliminate any aspect of the above description. The Company also retains the right to require all employees to undertake additional or different job responsibilities when necessary to meet business need.