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Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work , offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally. Job Responsibilities : We are seeking a highly motivated and forward-thinking AI Product Owner to drive the integration of Artificial Intelligence (AI) capabilities into the Razer Gold Digital Wallet ecosystem. This role plays a critical part in shaping intelligent wallet experiences, optimizing payment operations, and enabling data-driven decision-making across global markets. The position sits at the intersection of product, data, engineering, risk, and operations, translating business needs into scalable AI-powered solutions. The ideal candidate combines strong product management fundamentals with a practical understanding of AI/ML applications in fintech, such as fraud detection, transaction monitoring, personalization, automation, and operational intelligence. This role offers a front-row seat to building the next generation of intelligent digital wallet capabilities, improving user experience, operational efficiency, and platform scalability across the Razer Gold ecosystem. You should be: • A great communicator – You are able to articulate your thoughts and complex situations in an easily understandable manner and has a good grasp of what content your audience is looking for. • A problem solver with sense of urgency – You ask the right questions to understand a problem well and you are persistent to get things out of your way as quick as possible to get a problem resolved. • A team player – You do not work in silo; you have to ability to see how your work affects the rest of your teammates and keep a lookout for them. • A growth mindset and great curiosity – You are curious by nature to understand things in depth and find yourself always hungry to learn new things. Essential Duties and Responsibilities AI Product Strategy and Roadmap - Define and drive the product vision and roadmap for AI-enabled capabilities within the Razer Gold Digital Wallet platform - Identify high-impact opportunities to apply AI to improve wallet performance, risk management, operational efficiency, and customer experience - Translate business problems into clear AI use cases, including automation, predictive analytics, and intelligent decision-making - Prioritize AI initiatives based on business value, feasibility, and regulatory considerations AI Use Case Development and Delivery - Lead the design and delivery of AI-powered wallet features such as: - Fraud and risk detection - Transaction monitoring and anomaly detection - Customer behavior and spending insights - Intelligent routing and payment optimization - Automated operational workflows - Customer support automation and chatbot capabilities - Work closely with data science and engineering teams to define model requirements, performance metrics, and deployment strategies - Ensure AI models are production-ready, reliable, and scalable within the wallet infrastructure Cross-Functional Collaboration - Partner with data science, engineering, risk, compliance, finance, and operations teams to deliver AI-driven product capabilities - Collaborate with legal and compliance teams to ensure responsible and compliant use of AI across jurisdictions - Act as the bridge between technical AI teams and business stakeholders Data and Performance Management - Define success metrics and monitor performance of AI-driven features, including: - Model accuracy and performance - Fraud detection effectiveness - Operational efficiency improvements - Customer experience outcomes - Use data insights to continuously optimize AI models and product features Governance, Risk, and Responsible AI - Ensure AI solutions align with internal governance standards and regulatory requirements - Define monitoring and fallback mechanisms for AI-driven decision systems - Support model lifecycle management, including validation, retraining, and performance monitoring - Promote responsible and ethical AI usage within the digital wallet ecosystem Product Delivery and Execution - Maintain and prioritize the AI product backlog aligned with business and platform goals - Define user stories, workflows, and acceptance criteria for AI-driven features - Coordinate testing, deployment, and rollout of AI capabilities across environments - Manage stakeholders and communicate progress, risks, and outcomes effectively Requirements - Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Fintech, Engineering, or a related field - Minimum 5 years of experience in Product Management or Product Ownership roles within fintech, digital payments, or technology-driven environments - Proven experience delivering digital wallet, mobile app, payments, or fintech products, including end-to-end product lifecycle management from concept to production (0 → 1 or scale-up) - Hands-on experience managing mobile applications (iOS/Android), including feature design, user experience optimization, release management, and performance monitoring - Demonstrated experience working with AI/ML-enabled products or data-driven systems - Solid understanding of AI/ML concepts such as predictive modelling, classification and anomaly detection, model evaluation, performance monitoring, data pipelines, and model deployment - Strong familiarity with digital wallet or payment ecosystems, including transaction flows, settlement processes, and operational workflows - Experience working with data analytics tools such as SQL, Excel, and Business Intelligence platforms (e.g., Tableau, Power BI, Looker) to support data-driven decision-making - Experience working in Agile/Scrum environments, including backlog management, sprint planning, and cross-functional delivery coordination - Strong stakeholder management and cross-functional collaboration skills, with the ability to work effectively across engineering, data, risk, compliance, and business teams - Excellent communication, documentation, and problem-solving abilities, with strong attention to detail and execution discipline - Experience working in global digital commerce or multi-market platforms with cross-border regulatory or operational considerations - Experience in a startup or high-growth technology environment is a plus Pre-Requisites : Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best. Are you game?

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work , offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally. Job Responsibilities : The Senior AI Engineer is responsible for exploring, developing, and implementing AI‑enabled solutions that enhance enterprise applications, workflows, and decision‑making across the organization. This role focuses on translating emerging AI technologies into practical, secure, and scalable use cases that improve automation, productivity, and operational efficiency. Working closely with IT Applications, business stakeholders, and cross‑functional teams, the Senior AI Engineer supports the integration of AI into existing platforms and processes, contributes to AI capability building within the organization, and ensures that AI solutions are deployed responsibly and in alignment with enterprise architecture and governance standards. The role combines hands‑on technical expertise with strong collaboration skills to enable AI adoption beyond experimentation and into day‑to‑day operations. Summary The Senior AI Engineer plays a key role in advancing the organization’s AI transformation by embedding AI capabilities into enterprise applications and core business workflows. This role focuses on delivering practical, secure, and scalable AI solutions that drive automation, productivity, and data‑driven decision‑making across functions. Working closely with Business, Finance, Operations, and IT teams, the Senior AI Engineer supports cross‑functional AI initiatives, executes AI roadmap activities for IT Applications, and explores emerging AI technologies to identify high‑value use cases. The role emphasizes responsible AI adoption, strong collaboration, and hands‑on execution to move AI from experimentation into day‑to‑day operations. Essential Duties and Responsibilities: - Integrate AI solutions into enterprise applications and business workflows. - Support cross‑functional AI automation initiatives with Business, Finance, Operations, and IT teams. - Execute AI initiatives for IT Applications in alignment with business needs and architectural standards. - Ensure AI solutions comply with company security, data protection, and responsible AI policies. - Enable teams to use AI for better decision‑making, automation, and productivity. - Explore and evaluate new AI technologies and tools for potential organizational use. - Contribute to documentation, standards, and knowledge sharing to support consistent AI adoption. - Continuously improve AI solutions through testing, automation, and engineering best practices. - Collaborate with technical and business teams to translate business needs into AI‑driven solutions. - Share knowledge and promote good engineering practices through mentoring and collaboration. - Perform other related duties as required. Pre-Requisites : Requirements - Bachelor's or master's degree in computer science, data science, information technology, or a related field, with 5+ years of experience in both AI/ML architecture and hands-on machine learning development. - Strong hands‑on experience with AI / machine learning solutions, including generative AI, automation, analytics, or AI‑enabled workflow technologies. - Experience integrating AI solutions with enterprise platforms (e.g. ERP, CRM, ITSM, collaboration tools). - Solid understanding of data, APIs, system integration, and cloud‑based architectures. - Familiarity with AI governance concepts, including data privacy, security, ethical AI, and responsible use. - Practical, execution‑oriented mindset with the ability to translate AI capabilities into real business outcomes. - In-depth understanding of AI governance and responsible AI practices, including bias detection, model explainability, and alignment with global regulatory standards. - Strong communication and stakeholder management skills, with the ability to translate complex AI concepts into clear business insights and actionable roadmaps. - Highly self-driven and accountable, with a demonstrated ability to lead in fast-paced, matrixed enterprise environments. Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best. Are you game?

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work , offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally. Job Responsibilities/ 工作职责 : Job Overview: We are seeking a passionate and creative AI Agent Software Engineer. You will be a key member of our core AI R&D team, responsible for designing, developing, and optimizing AI Agents capable of autonomous perception, planning, decision-making, and execution. You will own the entire lifecycle from proof-of-concept to product launch, making a significant impact on the practical application of AI technology. Key Responsibilities: - Design & Development: Participate in designing and implementing efficient, reliable, and scalable AI Agent system architectures. - Agent Core Capability Building: Develop the core modules of Agents, including but not limited to: task planning and decomposition, tool usage (APIs, functions), memory mechanisms (short-term/long-term), multi-step reasoning, and self-reflection capabilities. - Large Language Model Integration & Application: Gain a deep understanding of and integrate various large language models (e.g., GPT, Claude, DeepSeek), leveraging their capabilities for prompt engineering, chain-of-thought optimization, and building complex Agent workflows. - Tool Ecosystem Development: Develop and manage a suite of tools (e.g., web search, database query, code execution, software API calls) for Agents, expanding their capability boundaries. - Evaluation & Iteration: Establish a scientific evaluation framework for the continuous testing, measurement, and iterative optimization of AI Agent performance, reliability, and safety. - Technology Exploration: Stay abreast of the latest research advancements in the AI Agent field (e.g., ReAct, COT, LangChain, AutoGPT) and apply cutting-edge techniques to real-world products. Qualifications: - Bachelor's degree or higher in Computer Science, Artificial Intelligence, or a related field. - Proficiency in Python programming, with solid software engineering skills and good coding practices. - Hands-on experience in application development using Large Language Models (LLMs), familiar with common LLM APIs and usage patterns. - Understanding of fundamental AI Agent frameworks and concepts (e.g., ReAct, Tool Use). - Excellent problem-solving skills, teamwork spirit, and communication abilities. Preferred Qualifications: - Project experience with mainstream AI Agent development frameworks (e.g., LangChain, LlamaIndex, AutoGen, CrewAI). - Familiarity with vector databases and Retrieval-Augmented Generation (RAG) technology. - Some understanding and application experience with multimodal models (vision, speech). - Relevant open-source projects on GitHub or a technical blog demonstrating passion and understanding of AI technology. 职位概述： 我们正在寻找一位充满热情、富有创造力的AI Agent软件工程师。您将成为我们核心AI研发团队的一员，负责设计、开发和优化能够自主感知、规划、决策和执行的AI Agent。您将对从概念验证到产品上线的整个生命周期负责，并对AI技术的实际应用产生深远影响。 主要职责： - 设计与开发：参与设计并实现高效、可靠、可扩展的AI Agent系统架构。 - Agent核心能力构建： 开发Agent的核心模块，包括但不限于：任务规划与分解、工具调用（API、函数）、记忆机制（短期/长期）、多步推理与自我反思能力。 - 大语言模型集成与应用： 深入理解和集成各类大语言模型（如GPT、Claude、DeepSeek等），利用其能力进行提示工程、思维链优化，并构建复杂的Agent工作流。 - 工具生态建设： 为Agent开发和管理一系列工具（如网络搜索、数据库查询、代码执行、软件API调用），扩展其能力边界。 - 评估与迭代： 建立科学的评估体系，对AI Agent的性能、可靠性、安全性进行持续测试和迭代优化。 - 技术探索： 紧跟AI Agent领域的最新研究进展（如ReAct、COT、LangChain、AutoGPT等），并将先进技术应用于实际产品中。 任职要求： - 计算机科学、人工智能或相关领域的学士及以上学位。 - 熟练掌握Python编程语言，具备扎实的软件工程能力和良好的编码习惯。 - 拥有基于大语言模型（LLM）进行应用开发的实际经验，熟悉常见的LLM API和使用模式。 - 了解AI Agent的基本框架和概念（如ReAct， Tool Use等）。 - 具备良好的问题解决能力、团队合作精神和沟通能力。 优先考虑： - 有使用主流AI Agent开发框架（如LangChain、LlamaIndex、AutoGen、CrewAI）的项目经验。 - 熟悉向量数据库及相关检索增强生成（RAG）技术。 - 对多模态模型（视觉、语音）有一定的了解和应用经验。 - 在GitHub上有相关的开源项目或技术博客，能够展示您对AI技术的热情和理解。 Pre-Requisites/ 任职要求 : Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best. Are you game?

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work , offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally. Job Responsibilities : We are seeking a Senior Software Engineer for the development and implementation of modular game subsystems for game developers, designers and animators in creating immersive, intelligent, and efficient gaming experiences. As a key player, you will work with a team of game developers, work closely with data scientists and drive the adoption of AI in the entire game development workflow. Essential Duties and Responsibilities - Work on the development of AI solutions to streamline game development process - Ensure that such game engines (Unity, Unreal Engine) have seamless integration with in-house models. - Design AI-powered data analytics tools to analyze player behavior and optimize engagement. - Work with internal Applied AI and Foundational AI Team. - Collaborate with game studios, game developers, animators, and gameplay engineers to align AI tools with production needs. - Work with a team of AI engineers, data scientists, and tool developers Qualifications - 5+ years of experience in game development or interactive applications. - Ability to work in fast paced, high pressure, agile environment. - Ability to drive innovation and adoption of AI tools in a game studio, with a passion for AI-driven creativity in game development. - Technically adept with working with AI workflows and agentic workflows - Strong in programming languages such as Python, C++, C#. - Experience integrating AI models on the cloud or locally - Experience in using game engines such as Unity and Unreal Engine - Knowledge of working with AI in Game development. - Strong communication abilities, with a track record of delivering tools or projects with game studios, while working cross functionally across multiple teams. - Proven ability to manage complex projects - Excellent problem-solving and analytical skills, with the ability to translate complex business problems into actionable insights. Education & Experience · Bachelor’s/Master’s in Computer Science, Game Development, AI, or related field from an accredited institution. Pre-Requisites : Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best. Are you game?

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work , offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally. Job Responsibilities : We are seeking a visionary and technically skilled AI Lead who leads the design, development, and governance of enterprise-grade AI solutions, with a strong focus on Microsoft technologies. This role is ideal for a strategic thinker and hands-on technologist who thrives in driving innovation, ensuring compliance, and delivering scalable AI systems that transform business operations. As a core member of the AI team, you will lead the technical strategy, establish best practices for AI governance, and collaborate with cross-functional teams to deliver impactful solutions. Your expertise in Microsoft Azure AI services, Power Platform, and MLOps will be central to success in this role. - Lead the architecture and implementation of AI solutions using Microsoft Azure technologies, ensuring scalability, security, and seamless integration with enterprise platforms - Champion Microsoft AI capabilities, including Azure AI Foundry, Azure OpenAI, Azure Cognitive Services, Azure Machine Learning, and Power Platform Copilot Studio - Implement and optimize Model Context Protocol (MCP) for secure, context-aware AI interactions across enterprise applications - Collaborate with business stakeholders to identify AI opportunities, translate requirements into technical solutions, and advise on emerging Microsoft AI trends - Oversee end-to-end AI development, including data exploration, model training, validation, deployment, and lifecycle management using MLOps best practices. - Manage production operations for AI systems, including monitoring, incident response, and change management - Promote technical excellence through code reviews, documentation, and continuous improvement of AI models and processes - Mentor and guide team members, fostering a culture of innovation, collaboration, and knowledge sharing - Other duties as assigned Pre-Requisites : - Bachelor’s degree in computer science, information technology, or a related field - Minimum 3 years of hands-on experience in AI architecture and development using Microsoft technologies - In-depth knowledge of MLOps practices, including model deployment, monitoring, and lifecycle management - Demonstrated expertise with Azure AI services, such as Azure OpenAI, Azure Cognitive Services, Azure Machine Learning, and Azure AI Foundry - Solid programming skills in Python, with familiarity in key ML and data science libraries - Proficiency in Microsoft Power Platform: Power Apps, Power Automate, Power BI, Dataverse, and Copilot Studio is a plus - Experience with Microsoft development tools and technologies: Visual Studio / VS Code, C# / .NET, TypeScript / JavaScript, SQL Server / T-SQL is a plus - Familiarity with AI governance frameworks and bias mitigation techniques (preferred, not mandatory) - Excellent communication skills and proven ability to engage effectively with stakeholders - Self-motivated, results-driven, and comfortable working in a globally distributed team environment - Relevant certifications such as Azure AI Engineer, Azure Data Scientist are a plus Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best. Are you game?

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work , offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally. Job Responsibilities : We are seeking a Product Marketing professional to lead execution for Razer AI Software products, driving awareness, adoption, and engagement across global markets. This role will shape product positioning and messaging, collaborate cross-functionally on launch initiatives, and build compelling materials to support sales enablement and partner growth. If you’re passionate about AI, tech, and gaming, this is your chance to shape the future of intelligent software at Razer. J ob Responsibilities - Lead Product Marketing for Razer AI Software products, owning go-to-market strategy and execution. - Create product positioning, messaging, and communication frameworks for Razer AI Software across both Razer and partner marketing channels. - Drive initiatives with global cross-functional teams to drive awareness, adoption, and engagement of Razer AI software. - Develop and implement marketing launch plans to align with product team objectives and set success metrics for marketing teams. - Develop pitch decks and presentations for internal reviews, sales enablement, and external partner discussions. - Seek and manage partner collaborations to drive growth of software adoption. - Maintain a working knowledge of website and social media channels, to ensure accurate and consistent product messaging. - Evaluate the effectiveness of each marketing campaign and refine execution plans. - Responsible for managing the marketing budget and driving business goals. - Pre-Requisites : Qualifications - Minimum of a Bachelor’s Degree in Marketing, Communications or related field. - 3-5 years of PC or Mobile Software experience in product marketing, marketing communications or GTM (go-to-market) planning. - Knowledge and experience working with AI technology and products. - Strong English communication skills (both written and verbal). Chinese language skills are a plus. - Curiosity and eagerness to learn about emerging marketing trends. - Ability to adapt in a dynamic, fast-paced environment. - Strong interest in tech, electronics, and/or gaming. - Game industry experience is an advantage. Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best. Are you game?

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work , offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally. Job Responsibilities : Join our Big Data team as an AI Data Engineer Intern and help power the data foundation behind advanced analytics and AI/ML solutions. This role sits at the intersection of data engineering, cloud infrastructure, and artificial intelligence. You will collaborate closely with data engineers, data scientists, analytics engineers, and data product managers to design, optimize, and scale modern data pipelines that fuel AI models, business intelligence, and data-driven decision-making across the organization. This internship offers hands-on experience with real production systems, modern data stack technologies, and to create AI-enabled workflows in a cloud-native environment. Pre-requisites: • Strong interest in Data Engineering, Cloud Technologies and AI/ML applications • Proficiency in Python, SQL. • Exposure to cloud technologies (Amazon Web Services, Google Cloud Platform) • Exposure to orchestration tools (Airflow) • Exposure to business intelligence tool (Superset, PowerBI, Tableau) • Ability to work independently and collaboratively in a fast-paced environment. Learning Objectives: By the end of the internship, you will gain practical experience in building AI-ready data systems using industry best practices and modern data technologies. Learning Outcomes: - Modern Data Warehousing & Lakehouse Architecture in the cloud (AWS) - Pipeline Design Patterns using ELT - Data transformation tools (DBT) - Infrastructure as Code (Terraform) - Workflow orchestration (Airflow) - CI/CD for Data Engineering - Spec driven development for data engineering - Performance Optimization & Data Quality Engineering - Documentation and communication of technical solutions - Collaboration with data engineers, analytics engineers, data analysts, data scientists Pre-Requisites : Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best. Are you game?

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work , offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally. Job Responsibilities : As an AI Engineer Intern within the Agentic AI Pod, you will work closely with experienced AI Engineers to help design, prototype, and evaluate agentic AI systems on Razer’s internal AI platform. This internship offers hands-on exposure to modern AI stacks involving LLMs, retrieval-augmented generation (RAG), agent orchestration, and model adaptation, applied to real-world gaming and platform use cases. You will contribute to building and improving autonomous and semi-autonomous AI agents, gaining experience across the AI development lifecycle—from data preparation and experimentation to system integration and evaluation—while learning best practices in scalable, production-oriented AI engineering. Key Responsibilities Assist in designing and implementing agentic AI components, such as planning logic, tool usage, memory, and multi-step reasoning Support the development and optimization of Retrieval-Augmented Generation (RAG) pipelines using embeddings and vector databases Help prepare datasets and experiment with LLM fine-tuning or adaptation techniques (e.g., instruction tuning, LoRA) Contribute to internal tooling, frameworks, or workflows for LLM-driven agents Integrate and experiment with 3rd-party AI services (LLMs, speech, vision, or agent frameworks) Participate in benchmarking and evaluation of models, prompts, agent behaviors, and retrieval strategies Assist with testing, debugging, and improving system performance, latency, and reliability Collaborate with AI Engineers, Platform Engineers, and DevOps teams while learning industry best practices Stay up to date with emerging trends in agentic AI, LLMs, and RAG systems Technical Skills Students pursuing a degree in Computer Science, AI, ML, or a related technical field are welcome to apply Strong programming skills in Python and familiarity with software engineering fundamentals Basic understanding of large language models (LLMs) and prompt engineering concepts Familiarity with at least one LLM API or open-source LLM (e.g., OpenAI, Claude, Gemini, LLaMA) Exposure to or interest in RAG pipelines, agent frameworks, or ML workflows Willingness to learn and experiment with modern AI tools and frameworks (e.g., LangChain, LlamaIndex) Coursework, projects, or research related to NLP, LLMs, or agent-based systems Experience from academic, personal, or hackathon projects involving: Prompt engineering, Vector databases or embeddings, Fine-tuning or adapting ML models Pre-Requisites : Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best. Are you game?

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work , offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally. Job Responsibilities : Designs and implements AI components for in-game event recognition, multimodal learning, and model optimization. Develops CV and audio processing pipelines for automated dataset generation and labeling. Collaborates on training workflows for the top 100, 500, and 3000 games. Builds the video decluttering pipeline to filter irrelevant gameplay segments. Works closely with the Lead Engineer on model deployment optimization and SDK integration. Implements and maintains C++ modules for data acquisition, inference, and model serving. Focused on performance tuning and inference latency reduction for on-device intelligence. Mission: Develop and optimize AI components for multimodal in-game event recognition, video dataset generation, and model deployment. - Build AI modules for CV/audio-based in-game event detection. - Implement data preprocessing and feature extraction pipelines. - Train, validate, and deploy models across top 100–3000 games. - Design video decluttering pipeline for gameplay quality refinement. - Collaborate with SDK developers for on-device inference optimization. - Ensure low-latency, high-accuracy inference performance. Competencies: - Applied AI engineering and model lifecycle understanding. - Multimodal data processing (video, audio, metadata). - Rigorous analytical and debugging skills in performance-critical contexts. - Systematic approach to scalability, reproducibility, and deployment. Pre-Requisites : - Proficient in C++ for high-performance implementation. - Solid understanding of ML fundamentals (CNNs, transformers, multimodal fusion). - Experience with OpenCV, PyTorch, or TensorFlow for model integration. - Background in computer vision or audio event classification. - Familiarity with dataset management, labeling, and augmentation techniques. - Experience with real-time inference and model compression for deployment. Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best. Are you game?

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work , offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally. Job Responsibilities : Implements high-performance C++ systems supporting data acquisition, real-time event tracking, and gameplay video generation. Develops tooling for video dataset expansion, clip triggering logic, and integration with Razer Cortex APIs. Contributes to CV/audio feature extraction modules and dataset processing automation. Works on video decluttering and Automontage (short-form video mashup) features. Ensures code reliability, maintainability, and compatibility across supported games. Participates in performance optimization and scaling of the multimodal model pipeline. Supports SDK development with stable and efficient runtime components. Mission: Develop high-performance C++ systems for real-time game data acquisition, event tracking, and video generation within Razer’s AI ecosystem. - Implement data acquisition and clip-triggering logic for deterministic WYVRN events. - Develop automation tools for video dataset collection and labeling. - Contribute to video decluttering and Automontage pipeline development. - Collaborate on CV/audio processing integration. - Optimize runtime components for Cortex and SDK deployment. - Maintain compatibility and performance across expanding game libraries. Competencies: - Efficient, low-level software development. - System reliability, maintainability, and optimization under load. - Integration with APIs, SDKs, and game engines. - Structured code management and pipeline debugging Pre-Requisites : - Strong proficiency in C++ and Windows API. - Experience with real-time systems, video encoding, and data streaming. - Understanding of computer vision pipelines and GPU acceleration. - Familiarity with game data capture, input hooks, and event-driven programming. - Competence in multithreading, synchronization, and resource management. - Basic understanding of ML pipeline integration and data preprocessing. Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best. Are you game?

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work , offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally. Job Responsibilities : We are seeking a seasoned and strategic Senior Product Marketing Manager to lead product marketing for Razer’s next-generation, AI-powered audio and headphone products, including Project Motoko — Razer’s AI-native headset. This role focuses specifically on AI-driven innovation within audio and headphones. Because AI is central to products like Project Motoko, you will translate advanced AI capabilities into clear, compelling consumer value. You will own go-to-market strategy for these initiatives from concept through to commercialization, define positioning and messaging, and partner closely with cross-functional and external teams. This is an individual contributor role. Essential Duties and Responsibilities - Lead product marketing for Razer’s AI-powered audio and headphone initiatives, including Project Motoko, from concept through to commercial launch. - Develop differentiated positioning, messaging, and value propositions for AI-driven audio and headphone products, translating advanced AI capabilities into clear benefits for consumers. - Plan and execute global go-to-market campaigns across all launch phases in collaboration with cross-functional teams. - Analyze market trends, the competitive AI audio and headset landscape, and customer insights to inform product strategy and roadmap priorities. - Manage launch timelines, marketing assets, budgets, and campaign performance across the full product life cycle. - Build and manage relationships with external brand, retail, technology, and AI platform partners to drive co-marketing and ecosystem adoption. - Drive cross-functional alignment and influence without authority across Product, R&D, Marketing, Sales, and Partnerships; set clear goals and OKRs aligned to business objectives. - Work with the Divisional Head to manage budget for the business category. - Other duties as assigned. Pre-Requisites : To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. - Minimum of 8 years of product management and marketing experience in the consumer electronics industry; experience launching audio or headset products strongly preferred. - Demonstrated experience marketing innovative or design-led consumer products (e.g., headphones, audio, smart devices, or emerging tech). - Proven track record of successful global product launches and integrated marketing campaigns. - Familiarity with AI and AI-enabled consumer products, with the ability to translate complex AI capabilities into clear consumer messaging; experience managing external technology or platform partners and co-marketing initiatives. - Experience across consumer electronics sales channels: retail, direct, online, and distribution. - A strong passion for headset, audio, AI, gaming, and emerging consumer technology trends. - Able to work independently, prioritize, and handle multiple tasks and projects concurrently in a fast-moving environment. - Excellent communication, storytelling, project management, and analytical skills, including the ability to interact effectively with executive management. Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best. Are you game?

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work , offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally. Job Responsibilities : This role will focus on leading the development of intelligent autonomous systems for game developers and players. The ideal candidate will have strong expertise in reinforcement learning (RL) and agent-based modeling, along with the ability to apply a broad range of AI techniques to build robust gameplay agents and adaptive in-game behaviors. This role involves working closely with AI engineers, game developers, and software engineers to deliver scalable, production-ready intelligent systems that enhance exploration, automation, and fast iteration across diverse gaming environments. Essential Duties and Responsibilities - Lead and mentor a team developing intelligent gameplay agents and autonomous systems for in-house AI services. - Define the technical roadmap for agent-based intelligence, supporting multiple game engines, genres, and gameplay objectives. - Drive research and development across reinforcement learning, imitation learning, planning, and hybrid approaches as needed. - Ensure agent solutions are robust, generalizable, and scalable across diverse game mechanics and player behaviors. - Establish evaluation frameworks and success metrics for autonomy, task success, stability, and real-world performance. - Collaborate with engineering teams to support deployment, integration, and scaling of intelligent agents into production pipelines. - Promote best practices in experiment tracking, reproducibility, and large-scale training workflows. - Communicate technical progress, trade-offs, and long-term strategy effectively to cross-functional stakeholders. - Stay updated with advancements in intelligent systems, including multi-agent learning, agentic AI, and adaptive decision-making. Pre-Requisites : Qualifications - Proven experience leading or mentoring teams building autonomous agents or applied AI systems. - Strong proficiency in Python; experience with C++ or Rust is a plus. - Strong foundation in reinforcement learning methods (policy-based, value-based, actor-critic) and agent training workflows. - Familiarity with simulation environments and game engines (e.g., OpenAI Gym, Unity, Unreal Engine). - Experience scaling experimentation, training pipelines, and evaluation processes for agent-based systems. - Strong analytical, debugging, and problem-solving skills in complex AI systems. - Excellent communication and collaboration skills across technical and non-technical stakeholders. Preferred - Experience with multi-agent systems, self-play, adversarial training, or population-based methods. - Exposure to imitation learning, offline RL, planning-based agents, or hybrid autonomy approaches. - Experience integrating agent services via APIs, RabbitMQ, gRPC, or REST-based microservices. - Familiarity with experiment management, reproducibility tooling, and evaluation automation. - Background in gaming AI, robotics, simulation, or control systems is a plus. Education & Experience - Master’s or PhD in a relevant field (Computer Science, AI, Machine Learning, etc.). - 3+ years of applied experience in reinforcement learning, agent-based AI, or intelligent autonomous systems, including demonstrated leadership responsibilities (academic or industry). Travel Requirements Role based in Singapore office, with occasional travel (up to 1 trip per year ) for conferences, research collaborations, or business meetings. Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best. Are you game?

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work , offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally. Job Responsibilities : Razer Gold aims to become the world’s leading payment service provider for games and digital content. As our business grows to meet the needs of gamers globally, we are looking for a Senior Data Scientist to join our team and fulfill the needs of our gamer customer base by AI technologies. This Senior Data Scientist in Razer Gold role will focus on designing and developing advanced AIML/GenAI solution and play a key role in the Razer Gold Data Scientist team. The ideal candidate will have strong expertise in machine learning, deep learning, LLM fine-tune, Generative AI agents, and Retrieval-Augmented Generation (RAG). This role involves working closely with AI engineers, data engineers, and product managers and various business stakeholders to build advanced AIML/GenAI solutions . This Senior Data Scientist in Razer Gold role will focus on designing and developing advanced AIML/GenAI solution and play a key role in the Razer Gold Data Scientist team. The ideal candidate will have strong expertise in machine learning, deep learning, LLM fine-tune, Generative AI agents, and Retrieval-Augmented Generation (RAG). This role involves working closely with AI engineers, data engineers, and product managers and various business stakeholders to build advanced AIML/GenAI solutions . Job responsibilities - Translate business needs/problems into well-defined AIML/GenAI solution designs. - Develop AIML/GenAI solutions, including data preparation, model training, optimization and evaluation. - Apply latest GenAI related technologies and aim at intelligent process automation and efficiency gains for Razer Gold business. - Collaborate with engineering teams to build robust AI solutions pipeline and deploy AIML/GenAI solutions. - Participate in the design, development and implementation of Razer Gold AI-powered products/solutions/platform. - Communicate complex data findings/insights by AI-driven solutions to business leaders and technical teams. - Relevant exposure to fraud and financial crimes compliance AI initiatives would be preferred." Technical Skills - Proficiency in programming languages commonly used in data science such as Python, SQL. - Proficiency in Python and experience with PyTorch or TensorFlow for deep learning. - Solid knowledge of machine learning/deep learning and Generative AI. - Familiar with AIML/GenAI frameworks. - Experience of prompting engineering, LLM fine-tune/evaluation, RAG system, Agentic AI, MCP and reinforcement learning . - Experience with cloud data platforms and cloud-based AI deployment ( AWS, GCP, or Azure ). - Experience with big data technologies like Spark, Hadoop, or distributed computing frameworks. - Experience of handling large-scale structured and unstructured data. Education background & Experience: - Master's or PHD degree in Computer Science, Artificial Intelligence, Data Science, Machine learning or related Fields. - 2+ years of working experience in GenAI/AIML learning domain. - Working experience in fintech, payments, or fraud detection domain is a plus. - Strong problem-solving skills and communication skills, with the ability to work cross-functionally and influence stakeholders. Pre-Requisites : Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best. Are you game?

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work , offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally. Job Responsibilities/ 工作职责 : We are seeking a highly motivated and forward-thinking AI Product Owner to drive the development and integration of AI-powered capabilities across the Razer Gold Digital Web and Mobile Store ecosystem. This role will be responsible for shaping intelligent B2C and D2C experiences, enhancing user engagement, improving operational efficiency, and enabling data-driven product decisions across global markets. The role sits at the intersection of product management, AI/ML, data, engineering, risk, and operations, translating business opportunities into scalable AI-driven solutions. The ideal candidate combines strong product ownership skills with practical experience applying AI technologies in digital commerce and/or fintech environments, including areas such as personalization, intelligent recommendations, fraud prevention, transaction monitoring, automation, and operational optimization. This position provides a unique opportunity to build the next generation of intelligent digital store capabilities, delivering smarter customer experiences, streamlined operations, and scalable growth across the Razer Gold ecosystem. You should be: • A great communicator – You are able to articulate your thoughts and complex situations in an easily understandable manner and has a good grasp of what content your audience is looking for. • A problem solver with sense of urgency – You ask the right questions to understand a problem well and you are persistent to get things out of your way as quick as possible to get a problem resolved. • A team player – You do not work in silo; you have to ability to see how your work affects the rest of your teammates and keep a lookout for them. • A growth mindset and great curiosity – You are curious by nature to understand things in depth and find yourself always hungry to learn new things. Essential Duties and Responsibilities AI Product Strategy & Roadmap - Define and drive the product vision, strategy, and roadmap for AI-enabled capabilities across Razer Gold digital web/mobile applications and white-label solutions - Identify high-impact AI opportunities to improve wallet growth, customer experience, payment optimization, fraud prevention, and operational efficiency - Translate business challenges into clear AI product opportunities, including automation, intelligent decision-making, personalization, and predictive analytics solutions - Prioritize AI initiatives based on business impact, customer value, technical feasibility, scalability, and regulatory requirements - Collaborate with stakeholders to align AI product initiatives with Razer Gold’s broader platform and business strategy AI Product Design & Delivery - Own the end-to-end lifecycle of AI-powered product features, from discovery, requirement definition, development, launch, and continuous improvement - Lead the design and delivery of AI-powered wallet features such as: - Intelligent customer experience and personalization - Fraud detection and risk monitoring - Transaction monitoring and anomaly detection - Customer behaviour and spending insights - Intelligent routing and purchase optimization - Automated operational workflows - Customer support automation and chatbot capabilities - Partner with Data Science, Engineering, and Product teams to define AI requirements, user journeys, expected outcomes, and success metrics - Ensure AI solutions are production-ready, scalable, reliable, and integrated effectively into the digital wallet ecosystem Cross-Functional Collaboration - Act as the product bridge between business teams and technical teams to drive successful AI product delivery - Work closely with Engineering, Data Science, Risk, Compliance, Finance, Operations, Marketing, and Customer Support teams to align product goals and execution plans - Collaborate with Legal and Compliance teams to ensure responsible, transparent, and compliant AI adoption across global markets - Facilitate alignment among stakeholders by clearly communicating product decisions, priorities, risks, and trade-offs Data-Driven Product Optimization - Define and monitor key performance indicators for AI-powered features, including: - Product adoption and engagement - Customer experience improvement - Fraud detection effectiveness - Operational efficiency gains - Model performance and accuracy - Analyze user behavior, transaction data, and operational insights to continuously improve AI capabilities - Use data-driven insights to identify product enhancement opportunities and optimize customer journeys Responsible AI, Risk & Governance - Ensure AI-powered products comply with internal governance standards, security requirements, and applicable regulatory expectations - Define product-level controls, monitoring mechanisms, and fallback processes for AI-driven decisions - Support AI lifecycle management, including model validation, performance monitoring, enhancement, and continuous improvement - Promote responsible AI practices, ensuring AI solutions deliver trustworthy and explainable outcomes Product Ownership & Agile Delivery - Own and manage the AI product backlog, ensuring prioritization aligns with business objectives and platform strategy - Translate product requirements into clear user stories, workflows, acceptance criteria, and release plans - Work closely with Agile delivery teams to ensure timely execution and high-quality product releases - Coordinate product testing, user validation, rollout planning, and post-launch optimization - Manage delivery risks, dependencies, and stakeholder expectations in a fast-paced product environment Customer & Business Growth Focus - Continuously identify opportunities to enhance Razer Gold’s digital wallet experience through AI-driven innovation - Improve user conversion, retention, monetization, and operational scalability through intelligent product solutions - Stay updated on AI, fintech, digital commerce, and mobile technology trends to drive competitive product advantages Requirements - Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Fintech, Engineering, or related discipline - Minimum 5 years of experience in Product Management / Product Ownership roles, preferably within digital commerce, fintech, payments, or technology platforms - Proven experience owning and delivering digital products end-to-end, from product discovery, requirements definition, development, launch, and continuous optimization (0 → 1 or scale-up) - Hands-on experience managing web and mobile applications, including iOS/Android feature development, UX optimization, release management, and product performance improvement - Strong experience in building and optimizing digital storefronts, e-commerce platforms, mobile apps, or consumer-facing digital experiences - Demonstrated experience applying AI/ML or data-driven capabilities to improve product experience, automation, personalization, operational efficiency, or decision-making - Solid understanding of AI/ML concepts, including predictive analytics, recommendation systems, classification, anomaly detection, model evaluation, monitoring, and AI-driven workflow automation - Experience leveraging data analytics tools such as SQL, Excel, and BI platforms (e.g., Tableau, Power BI, Looker) to define product metrics, analyze user behavior, and drive product decisions - Experience working in Agile/Scrum environments, including backlog management, sprint planning, and cross-functional delivery coordination - Strong stakeholder management and cross-functional collaboration skills, with the ability to work effectively across engineering, data, risk, compliance, and business teams - Excellent communication, documentation, and problem-solving abilities, with strong attention to detail and execution discipline - Experience working in global digital commerce or multi-market platforms with cross-border regulatory or operational considerations - Experience in a startup or high-growth technology environment is a plus Pre-Requisites/ 任职要求 : Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best. Are you game?

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work , offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally. Job Responsibilities : We are seeking a highly skilled AI Software Engineer to design, develop, and deploy AI-powered solutions. This role involves building scalable AI systems, integrating AI / Machine Learning (ML) models into applications, and optimizing AI workflows for production. You will collaborate closely with data scientists, software engineers, and DevOps teams to bring cutting-edge AI capabilities to life. - Implement and optimize AI / ML models in production, via containerization (Docker, Kubernetes), for speed, accuracy and cost-effectiveness - Deploy AI models using RESTful APIs, gRPC, or edge computing solutions. - Implement monitoring, logging, and error-handling mechanisms to track AI performance. - Design APIs and microservices to integrate AI capabilities into software systems to ensure that they are secure, performant and well-documented - Monitor and optimize model performance in production environments, ensuring API latency and availability meet the required SLAs (Service Level Agreements). - Build scalable, high-performance AI pipelines for real-time and batch processing. - Implement MLOps best practices, including CI/CD for machine learning workflows on both local machines and cloud platforms - Work closely with data scientists to turn research models into deployable solutions. - Collaborate with DevOps and cloud engineers to ensure seamless AI model deployment. - Stay up to date with the latest AI/ML frameworks, tools, and industry trends in API, plugins development to continuously improve and enhance API solutions. - Identify opportunities to improve existing AI API / plugins architectures and suggest new features or services to add value to AI products. Pre-Requisites : - 3+ years of experience in AI/ML software development. - Proven track record of deploying AI solutions in production environments. - Strong experience in deploying AI models and API development using RESTful APIs, gRPC, or edge computing solutions. - Strong programming skills in Python, Java, or C++. - Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn). - In depth understanding of containerization (Docker, Kubernetes) and DevOps practices. - Experience in developing and deploying AI applications running both edge deployment (TensorRT, ONNX, TFLite) and on cloud infrastructure (AWS, Azure or Google Cloud Platform) using Infrastructure as code tools such as Terraform and also cloud AI services (AWS SageMaker, Google Vertex AI, Azure ML). - Experience with database management (SQL, NoSQL, and vector databases). - Knowledge of distributed computing (Spark, Dask) and parallel processing. - Ability and willingness to learn any new technologies and apply them at work in order to stay ahead, in a fast paced, high pressure, agile environment - Excellent written and verbal communication skills for coordinating across teams. Education & Experience - Has a Bachelor’s or Master’s degree in computer science, AI or similar discipline from an accredited institution Travel Requirements - Role based in Singapore office and may require up to 1 travel trip per year. Are you game?

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work , offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally. Job Responsibilities : This Senior Data Scientist role will focus on designing and developing advanced AI-driven solutions for game developers and gamers. The ideal candidate will have strong expertise in Reinforcement Learning (RL), Generative AI agents, and Retrieval-Augmented Generation (RAG) to create intelligent gaming tools and experiences. This role involves working closely with AI engineers, game developers, and software engineers to build cutting-edge AI capabilities that enhance game mechanics, player engagement, and content generation. - Research, design, and implement rewards-based agents using Reinforcement Learning (RL) for testing gaming applications. - Develop and optimize agents and advanced RAG-based solutions for dynamic game content creation, adaptive player interactions, and enhanced gaming experiences. - Collaborate with game developers, designers, and software engineers to integrate AI models into game development workflows. - Build and optimize AI-powered gaming tools , enabling developers to create more immersive and dynamic player experiences. - Develop and fine-tune models to improve AI in gaming applications. - Analyze and preprocess game data, training AI models to adapt and improve in-game decision-making processes. - Stay updated on the latest advancements in AI for gaming , ensuring our solutions remain state-of-the-art. - Evaluate model performance and drift through experimentation and benchmarking, improving efficiency and scalability. - Assist in the deployment, monitoring, and maintenance of AI models in production environments. - Document findings, methodologies, and research for internal knowledge sharing and external publications, where applicable Pre-Requisites : - Strong background in Reinforcement Learning (RL), Generative AI agents, and RAG (Retrieval-Augmented Generation) . - Proficiency in Python and experience with PyTorch or TensorFlow for deep learning. - Experience with game engines such as Unity and Unreal Engine is a plus. - Familiarity with LLMs, transformers, diffusion models, and self-learning AI systems . - Experience in training and fine-tuning large-scale AI models . - Experience with cloud-based AI deployment (AWS, GCP, or Azure) . - Strong problem-solving skills and ability to translate research into practical solutions. - Excellent verbal and written communication skills to collaborate with technical and non-technical teams. - Passion for gaming and an understanding of game mechanics, AI-driven storytelling, and player engagement strategies. Education & Experience - Master’s or PhD in a relevant field (Computer Science, AI, Machine Learning, etc.). - 1+ years of experience in AI research or applied machine learning, preferably in gaming or interactive media. Travel Requirements Role based in Singapore office, with occasional travel (up to 1 trip per year ) for conferences, research collaborations, or business meetings. Are you game?

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work , offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally. Job Responsibilities : This role will focus on designing and developing advanced computer vision solutions for   interactive systems. The ideal candidate will have strong expertise in core computer vision techniques such as object detection, tracking, segmentation, image classification, and video analysis, along with experience extending these capabilities for richer semantic understanding. This role involves working closely with   data   engineers, game developers, and software engineers to build scalable, production-ready vision systems that enable robust perception, automated analysis, and fast iteration in real-world environments . Essential Duties and Responsibilities - Develop and implement computer vision algorithms for tasks such as object detection,   tracking,   action   recognition, segmentation,   image classification   and   video understanding . - Design and   contribute to   end-to-end   computer vision systems to meet   functional, performance, and scalability requirements . - Collaborate   with data engineering team to design annotation schemas, labeling taxonomies, and data validation strategies for large-scale image, video, and multimodal datasets supporting computer vision and multimodal model training. - Train, fine-tune, and optimize computer vision models using machine learning frameworks and deep learning libraries. - Evaluate the performance of computer vision models using appropriate metrics and benchmarks. - Optimize models for real-time inference, edge deployment, or large-scale serving, considering latency, memory, and throughput constraints. - Work closely with software engineering teams to support the integration and deployment of computer vision and multimodal models into production systems via APIs and messaging frameworks. - Conduct testing and validation to ensure the functionality, reliability, and accuracy of computer vision systems. - Document design specifications, technical requirements, and implementation details for computer vision solutions. - Stay updated on emerging technologies, trends, and advancements in computer vision through research and experimentation. - Consider ethical, legal, and regulatory implications in the development and deployment of computer vision systems . Pre-Requisites : Qualifications - Proven experience in developing and implementing computer vision algorithms and models   in   real-world applications. - Proficiency in programming languages such as Python or C++. - Strong understanding of image and video processing techniques and methodologies. - Hands-on experience with computer vision libraries (e.g., OpenCV) and deep learning frameworks such as PyTorch and TensorFlow for developing and training vision models. - Experience defining data requirements and working with annotated datasets for computer vision model training. - Ability to evaluate and optimize model performance using task-specific metrics and benchmarks. - Strong analytical and problem-solving skills . - Excellent written and verbal communication skills across technical and non-technical teams . Preferred - Experience with Vision-Language Models (VLMs), multimodal learning, or generative AI for vision tasks. - Experience with messaging and communication technologies such as RabbitMQ, gRPC, REST APIs for service integration. - Exposure to distributed training, large-scale experiments, or multi-GPU systems. - Experience with model optimization and deployment (e.g., ONNX, TensorRT, edge or real-time inference). Education & Experience - Master’s or PhD in a relevant field (Computer Science, AI, Machine Learning, etc.). - 2+ years of applied experience in computer vision   or   multimodal AI   (academic or industry). Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best. Are you game?

At Rockstar Games, we create world-class entertainment experiences. Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. Rockstar Games is on the lookout for a skilled Senior Machine Learning Engineer with strong software development skills who is passionate about games, big data and Machine Learning to join a team that builds Data Science products that directly influences game design, live operations, and player engagement at scale. This is a full-time, in-office position based out of Rockstar’s NYC headquarters in Downtown Manhattan. WHAT WE DO - The Rockstar Games Analytics team provides insights and actionable results to a wide variety of stakeholders across the organization in support of their decision making. - We partner with multiple departments across the company, leveraging analytics to measure and improve on the success and health of our games. - We collaborate as a distributed team to develop innovative data pipelines, data products, data models, reports, analyses, and machine learning applications. - The Machine Learning Engineering vertical within the Analytics team is tasked with designing, building, and deploying ML systems in addition to advising other verticals on how to design and build reliable, scalable and, fit for purpose models. RESPONSIBILITIES - Partner with Data Scientists and business stakeholders to understand analytical & ML needs and translate them into robust ML solutions that enable us to leverage and derive insights. - Design and build end-to-end ML pipelines, including data, features, training and, serving. - Push the boundaries of our ML and Data Science platform by taking advantage of and spearheading cutting-edge advancements in AI and Agentic frameworks. - Set up monitoring, A/B testing, and metrics frameworks to measure real impact. - Perform timely Root Cause Analysis to troubleshoot model and data-related issues; assist in implementation of code and process fixes. - Provide thought leadership and collaborate with other team members to continue to scale our architecture to evolve for the needs of tomorrow. - Contribute to the technical strategy and establishment of best practices within the team. - Develop and support CI/CD processes. REQUIREMENTS - 5+ years of experience building ML systems in production. - Bachelor’s degree or equivalent in an engineering or technical field such as Computer Science, Mathematics, Statistics, or strong quantitative and software background. - Proven track record in building, monitoring, and optimizing large-scale ML solutions and infrastructure. - Experience working in Databricks and Databricks MLflow is essential. - Experience working with pipeline scheduling tools such as Airflow & Astronomer. - Experience working with CI/CD tools such as Terraform and GitHub. - Ability to push the frontier of technology and freely pursue better alternatives. PLUSES Please note that these are desirable skills and are not required to apply for the position. - Production experience deploying Databricks Genie AI and other Databricks Agentic solutions HOW TO APPLY Please apply with a resume and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process. Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process. If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category. LI-CR The pay range for this position in New York State (inclusive of New York City) at the start of employment is expected to be between the range below* per year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards, in addition to a full range of medical, financial, and/or other benefits. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an "at-will position" and the company reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, company or individual department/team performance, and market factors. *NY Base Pay Range $160,000 - $195,000 USD

At Rockstar Games, we create world-class entertainment experiences. Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. Rockstar is on the lookout for a passionate Senior Data Scientist who possesses a passion for both games, and big data. This is a full-time, permanent and in-office position based in Rockstar’s unique game development studio in the heart of Leeds, England. WHAT WE DO - The Rockstar Analytics team provide actionable insights to a wide variety of stakeholders across the organization in support of their decision making. - We partner with multiple departments across the company to design and implement data and pipelines. - We collaborate as a global team to develop cutting-edge data pipelines, data products, data models, reports, analyses, and machine learning applications. - The Game Analytics vertical is heavily focused on understanding our players and using data to improve our games. RESPONSIBILITIES - Design, develop, and deliver data analytics solutions to address critical business or game questions, leveraging machine learning and advanced analytical techniques as appropriate. - Assure Rockstar’s ongoing competitive advantage by providing high quality insights and in-depth analyses, aligned to strategic initiatives and design intentions. - Tell impactful stories with data through insightful, actionable reports and presentations. - Develop a deep understanding of gameplay flows, and leverage this to inform analysis of game data. - Identify and lead analytic value-add projects and experiments aligned with long-term strategic initiatives. - Conduct proactive in-depth analysis and predictive modeling to uncover hidden opportunities. - Partner with data analysts, data engineers, data scientists, data governance analysts, and stakeholders to better understand requirements, find bottlenecks, and implement resolutions. - Help mentor and develop the skillsets of the junior team members within your team or department. REQUIREMENTS - 5+ years in a data science role required. - Experience in writing production-stable code (preferably PySpark), pushing models and data pipelines to production, and iterating on models in production. - Proficiency in statistical theories such as probability, distributions, Bayesian statistics, causal inference. - Knowledge of machine learning techniques such as Clustering, Gradient Boosting, Neural Networks, Regression. - Excellent SQL skills and experience using Python for machine learning / statistical analysis. - Experience using large, complex datasets and building dashboards using a BI platform, ideally Tableau. - Excellent data storytelling and visualization skills, able to effectively communicate insights to a diverse range of stakeholders. - Strong problem-solving skills with the ability to reconcile technical and business perspectives. - Passion for video games and knowledge of the industry. PLUSES Please note that these are desirable skills and are not required to apply for the position. - Experience with Databricks and MLFlow. - Graduate degree (MBA, MSc or Master’s, PHD), an asset. - Game industry experience, an asset. - Bachelor’s degree in Computer Science, Mathematics, or a related field, with a strong quantitative background. HOW TO APPLY Please apply with a CV and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process. Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process. If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category. LI-AH1

L

Senior Full-stack AI Engineer

Negotiable

Corporate: Light & Wonder’s corporate team is comprised of incredible talent that works across the enterprise, defying boundaries to provide essential services in an extraordinary manner to ensure the success of the organization and the well-being of employees. Position Summary About the Team We are building a tight-knit, senior engineering group based in Austin, TX, tasked with creating the next generation of enterprise automation at Light & Wonder. Our mission is to design, deliver, and scale production-grade Agentic AI workflows that execute highly complex, meaningful tasks across the business. We will operate like a high-functioning startup within the enterprise: we favor shipping over process, rigorous evaluation over opinions, and strategic platform investments that make every subsequent deployment faster. We are leaning heavily into the modern Microsoft ecosystem, anchoring our architecture on the newly GA Microsoft Agent Framework (.NET), Azure OpenAI, and an advanced data backend powered by Snowflake, Databricks, and Microsoft Fabric. If you want to build resilient, multi-agent systems at enterprise scale, this is the team. About the Role We are looking for highly capable product builders who will own complex agentic workflows from the user interface down to the model execution. You will navigate across a React front-end, a C#/.NET orchestration layer, and various tool integrations to deliver agents that feel like refined, intelligent products. You will not be confined to a single layer of the stack. You will be responsible for the orchestration logic, multi-agent handoffs, and the rigorous evaluation coverage, ensuring your agents behave predictably in production. We don't expect you to have years of experience with the Microsoft Agent Framework specifically. We do expect broad technical expertise, a deep understanding of modern async patterns, and the ability to ship resilient AI software. Essential Job Functions - Architect and deliver production-grade agent workflows end-to-end, spanning conversational UI, orchestration logic, and tool integrations - Build intuitive, embedded agent interfaces using AG-UI and CopilotKit to deliver a refined product experience - Implement robust orchestration using Microsoft Agent Framework (.NET), handling tool calling, multi-agent patterns, and human-in-the-loop handoffs - Integrate with low-code platforms like N8N for workflow edge cases to accelerate delivery without sacrificing reliability - Develop comprehensive behavioral, regression, and adversarial evaluations for all shipped workflows to guarantee production reliability - Collaborate with Data Engineering on consumable data surfaces and with Platform Engineering on deployment and observability standards - Contribute to shared platform primitives, reusable templates, and rigorous code review practices across the team Required Qualifications - 6+ years of professional software engineering experience, with meaningful production depth on both front and back ends - Strong proficiency in C# and .NET for server-side work, including modern .NET (8 / 9 / 10), async patterns, and dependency injection. This is the primary stack and is required, not preferred - Strong proficiency in TypeScript and React for front-end work - Experience shipping at least one production system that uses LLMs end-to-end. "Production" means real users, real reliability constraints, and real evals - not a hackathon project or a tutorial follow-along. Multi-step orchestration or agent experience preferred over single-completion-call experience - Demonstrated ability to learn unfamiliar frameworks quickly and write production-grade code while doing so. We will probe for this in the technical screen - Strong grasp of API design, auth, async patterns, and the tradeoffs of streaming versus request-response - Working knowledge of Azure primitives (App Service / AKS / Functions, Key Vault, API Management, Entra ID) and comfort writing IaC (Bicep) - Experience writing evals for non-deterministic systems: behavioral tests, regression harnesses, human-rated samples Preferred Qualifications - Hands-on time with Microsoft Agent Framework, Semantic Kernel, or AutoGen. MAF specifically is recently GA; depth is uncommon and not required - Experience with .NET Aspire and Azure Functions hosting patterns for agents - Experience with AG-UI, CopilotKit, or comparable agent/copilot UI frameworks - Experience with N8N, Make, Zapier, or similar low-code / automation platforms at production scale - Experience with Foundry Observability and Foundry Evals, including the Azure DevOps Foundry-evals extension for CI/CD - Prior experience on a platform or developer experience team. You know what reusable looks like - Exposure to enterprise identity (Entra ID / AAD), data classification, and DLP patterns - Familiarity with MCP (Model Context Protocol) and A2A (Agent-to-Agent) interoperability patterns Education Bachelor's degree in Computer Science or related field, or equivalent professional experience. Qualifications Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit, stand, walk, bend, use hands, operate a computer, and have specific vision abilities to include close and distance vision, and the ability to adjust focus while working with computer and business equipment. Work Conditions Light & Wonder and its affiliates (collectively, L&W) are engaged in highly regulated gaming businesses. As a result, certain L&W employees may, among other things, be required to obtain a gaming or other license(s), undergo background investigations or security checks, or meet certain standards dictated by law, regulation or contracts. In order to ensure L&W complies with its regulatory and contractual commitments, as a condition to hiring and continuing to employ its employees, L&W requires all of its employees to meet those requirements that are necessary to fulfill their individual roles. As a prerequisite to employment with L&W (to the extent permitted by law), you shall be asked to consent to L&W conducting a due diligence/background investigation on you. This job description should not be interpreted as all-inclusive; it is intended to identify major responsibilities and requirements of the job. The employee in this position may be requested to perform other job-related tasks and responsibilities than those stated above. LI-JA1 Light & Wonder is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. If you’d like more information about your equal employment opportunity rights as an applicant under the law, please click here for EEOC Poster .

L

AI Analyst

Negotiable

Corporate: Light & Wonder’s corporate team is comprised of incredible talent that works across the enterprise, defying boundaries to provide essential services in an extraordinary manner to ensure the success of the organization and the well-being of employees. Position Summary The AI Governance & Delivery Analyst plays a key role in scaling AI adoption across Light & Wonder. Acting as the operational backbone of our enterprise AI programme, you'll manage the AI intake pipeline, coordinate evaluations and approvals, monitor adoption and governance metrics, and provide visibility of AI initiatives across the business. Working closely with our AI Centre of Excellence, Engineering, Security, Legal, and business stakeholders, you'll help ensure AI solutions deliver measurable value while meeting our governance, privacy, and security standards. You'll also configure and maintain the tools that power our AI ecosystem, including dashboards, automations, integrations, agentic workflows, connectors, and enterprise AI platforms. Combining operational excellence with hands-on technical configuration, you'll help build a trusted AI foundation that enables innovation at scale. Applicants must have the unrestricted right to work in the United Kingdom for the duration of their employment. Light & Wonder is unable to offer visa sponsorship or support visa transfers for this role, either now or in the future. We're looking for people who are full of ideas, want to challenge the norm and work to our core values… - Dare to be Bold  - We always bring courage to work to reach for the unbelievable. - Uphold Integrity  - We promote accountability and respect to raise the bar for ourselves and the industry. - Never Settle  - We relentlessly push forward to create the extraordinary in every detail. - Celebrate Perspectives  - We combine diverse talent to look at the familiar in unfamiliar ways. - Win as a Team  – We bring out the best in each other to share collective success. What You'll Do - Manage the AI intake pipeline, progressing requests through evaluation and approval stages while maintaining Jira and Smartsheet dashboards, tracking SLAs, and reporting portfolio health. - Coordinate the onboarding of AI tools and platforms, overseeing licensing, access requests, vendor assessments, integrations, and API implementation. - Act as the key operational link between the AI Centre of Excellence, Infrastructure & Engineering teams, and the business-unit AI Champions network. - Run structured evaluations of AI tools, agents, and platforms, including test planning, UAT coordination, LLM assessments, and governance documentation. - Monitor AI adoption, usage, quality, and cost metrics, identifying risks and improvement opportunities. - Build and maintain supporting AI program tooling, including dashboards, reporting, automations, integrations, agentic workflows, connectors, and MCP servers. - Maintain governance artefacts, audit-ready documentation, evidence packs, and lifecycle records to support enterprise AI compliance. - Contribute to the development of a well-governed, scalable AI ecosystem that enables innovation while meeting security, privacy, and compliance requirements. What You'll Bring - Demonstrable experience in governance, risk and compliance, business analysis, operations, program delivery, or a similar enterprise environment. - Proven ability to translate ambiguous business requirements into clear deliverables, success metrics, and actionable plans. - Strong experience managing operational workflows, intake processes, SLA tracking, and cross-functional delivery using tools such as Jira, Smartsheet, or equivalent platforms. - Working knowledge of governance and control frameworks, including privacy, security, data classification, access management, change control, and vendor risk. - Experience coordinating testing, user acceptance testing (UAT), and structured evaluation activities for technical solutions. - Strong analytical and reporting skills, with the ability to interpret usage, cost, and performance metrics and communicate findings to both technical and non-technical audiences. - Working knowledge of Generative AI concepts, including agents, prompting, function calling, RAG, and enterprise AI platforms such as Microsoft Copilot, OpenAI/ChatGPT, Claude, Gemini, Azure AI Foundry, and AWS Bedrock. - Proficiency in Python and/or JavaScript/Node.js, with the ability to develop and maintain dashboards, automations, and integrations. - Hands-on experience configuring enterprise AI platforms, connectors, agents, workflows, MCP servers, and related integrations. - Excellent stakeholder management skills with the ability to collaborate effectively across Security, Legal, Architecture, Engineering, and business teams. - Exceptional attention to detail with experience producing governance documentation, audit evidence, executive reporting, and risk records. Qualifications - AI related course (desirable) Desirable - Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel). - Familiarity with Responsible AI frameworks or regulatory landscapes (e.g., NIST AI RMF, EU AI Act). - Exposure to AI cost management or usage optimisation practices. - Experience with multi-agent systems, observability tools, or AI evaluation frameworks. - Knowledge of API architecture patterns or multi-tenant system design. How You'll Grow - Gain exposure to cutting-edge enterprise AI technologies, platforms, and governance frameworks at scale. - Play a key role in shaping and operationalising Light & Wonder's AI strategy and adoption roadmap. - Develop expertise in AI governance, tool evaluation, AI operations, automation, and agentic workflows while partnering with senior leaders across the business. What can we offer you? - Annual performance bonus - 25 days' holiday plus bank holidays - Hybrid working (3 days a week in the office) - 1 day paid leave to work on charitable projects - 1 day paid for personal celebration e.g. birthdays - Half Day for Health (encouraging you to take time away for you & your wellbeing) - Up to 8% employer pension contributions - A reward platform offering a cycle to work scheme and shopping and lifestyle discounts/cashback - Remote GP Access - Private Medical Insurance - Elective Benefits: Tastecard/ Travel/Dental Insurance/ Give As You Earn - Study Support - Employee Assistance Programme (EAP) Light & Wonder are an Equal Opportunity Employer and encourage applications from all walks of life regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships. If you are invited to an interview, please let us know if there are any reasonable adjustments, we can make to the recruitment process that will enable you to perform to the best of your ability.

Side is a global video game development and services provider, offering technical and creative solutions to many of the largest developers and studios around the world. Founded in Japan in 1994, Side has grown to become a global force in the video game industry, with over 40 studios in 15 countries worldwide and offices across North America, Europe, South America, and Asia. Our industry-leading services include codev, art production, localization, audio production, quality assurance, localization QA, player support, community management, and datasets. Help us bring stories to the world. Join Side's global team of passionate gamers and contribute to top-notch game development. Discover opportunities in Asia, North America, South America, Europe, and beyond. Experience our side of life! For more information, visit www.side.inc About This Opportunity As an AI Microservices Developer, you will be responsible for creating APIs that leverage Large Language Models (LLMs) and Generative AI models to build products and perform business process automation tasks. You will be expected to manage your own projects, develop them in Python, and work with the DevOps team to deploy these projects as micro-services in a cloud environment. You will support game services, products, games, and internal functions across the organization This role sits on Side’s Artificial Intelligence team and reports to the Head of Artificial Intelligence. The team serves as the hub for AI and machine learning across the entire organization and all our brands. We collaborate on cross-functional projects that range from internal tools to user-facing product features. You will partner with stakeholders throughout the organization to align on requirements, set expectations, and deliver API solutions. Key Responsibilities - Develop and Architect Python-based API Microservices that make calls to LLMs and other generative models to support business needs. - Work on Python-based API Microservices that provide AI-enabled and LLM powered solutions for business needs. - Keep up with the latest LLM technologies including OpenAI, Llama and Gemini. - Understand and become the company’s expert in LLM and Generative AI API methods and Open Weights model deployment. - Work as a product manager to understand the business needs for business process automation tasks. · Turn business needs into API requirements for microservices. - Work with the DevOps team to ensure deployment of the Python-based APIs are live and kept functional. - Assist in the integration of your API microservices with other software and tools throughout the organization. - Refine and optimize AI systems throughout the project lifecycle to ensure performance and functionality across platforms. - Write and debug core AI code, ensuring maintainable and scalable solutions. - Develop tools and utilities to support AI development and testing. - Proactively identify and address challenges related to AI development, devising creative and effective solutions. - Maintain regular communication with cross-disciplinary teams to ensure cohesive development. Requirements - Bachelor's degree in Computer Science, Engineering, or a related field. - 2+ years of experience developing Python-based REST APIs. - Experience with OpenAI LLM APIs. - Understanding of micro-services architecture and ability to design scalable architectures from the ground up. - Knowledge of databases and programming APIs that use databases (NoSQL or SQL). - Experience coding with Python frameworks such as Flask, Django, FastAPI or similar. - Basic Web Application Architecture Knowledge - Able to interact with business leaders across the organization to understand and manage requirements. - Desired Qualification: Experience with LLM technology stacks and a variety of service and model options including OpenAI, Anthropic, and Open Weights models. Experience with AI Image Generation pipelines. Note: Specific requirements may vary depending on project needs. Benefits Available to fulltime employees

Side is a global video game development and services provider, offering technical and creative solutions to many of the largest developers and studios around the world. Founded in Japan in 1994, Side has grown to become a global force in the video game industry, with over 40 studios in 15 countries worldwide and offices across North America, Europe, South America, and Asia. Our industry-leading services include codev, art production, localization, audio production, quality assurance, localization QA, player support, community management, and datasets. Help us bring stories to the world. Join Side's global team of passionate gamers and contribute to top-notch game development. Discover opportunities in Asia, North America, South America, Europe, and beyond. Experience our side of life! For more information, visit www.side.inc About This Opportunity As an AI Microservices Developer, you will be responsible for creating APIs that leverage Large Language Models (LLMs) and Generative AI models to build products and perform business process automation tasks. You will be expected to manage your own projects, develop them in Python, and work with the DevOps team to deploy these projects as micro-services in a cloud environment. You will support game services, products, games, and internal functions across the organization This role sits on Side’s Artificial Intelligence team and reports to the Head of Artificial Intelligence. The team serves as the hub for AI and machine learning across the entire organization and all our brands. We collaborate on cross-functional projects that range from internal tools to user-facing product features. You will partner with stakeholders throughout the organization to align on requirements, set expectations, and deliver API solutions. Key Responsibilities - Develop and Architect Python-based API Microservices that make calls to LLMs and other generative models to support business needs. - Work on Python-based API Microservices that provide AI-enabled and LLM powered solutions for business needs. - Keep up with the latest LLM technologies including OpenAI, Llama and Gemini. - Understand and become the company’s expert in LLM and Generative AI API methods and Open Weights model deployment. - Work as a product manager to understand the business needs for business process automation tasks. · Turn business needs into API requirements for microservices. - Work with the DevOps team to ensure deployment of the Python-based APIs are live and kept functional. - Assist in the integration of your API microservices with other software and tools throughout the organization. - Refine and optimize AI systems throughout the project lifecycle to ensure performance and functionality across platforms. - Write and debug core AI code, ensuring maintainable and scalable solutions. - Develop tools and utilities to support AI development and testing. - Proactively identify and address challenges related to AI development, devising creative and effective solutions. - Maintain regular communication with cross-disciplinary teams to ensure cohesive development. Requirements - Bachelor's degree in Computer Science, Engineering, or a related field. - 2+ years of experience developing Python-based REST APIs. - Experience with OpenAI LLM APIs. - Understanding of micro-services architecture and ability to design scalable architectures from the ground up. - Knowledge of databases and programming APIs that use databases (NoSQL or SQL). - Experience coding with Python frameworks such as Flask, Django, FastAPI or similar. - Basic Web Application Architecture Knowledge - Able to interact with business leaders across the organization to understand and manage requirements. - Desired Qualification: Experience with LLM technology stacks and a variety of service and model options including OpenAI, Anthropic, and Open Weights models. Experience with AI Image Generation pipelines. Note: Specific requirements may vary depending on project needs. Benefits Available to fulltime employees

About Side Side is a global video game development and services provider, offering technical and creative solutions to many of the largest developers and studios around the world. Founded in 2009 and drawing on 30+ years' experience from our parent company in Japan, Side has since grown to become a global force with 15+ studios in over a dozen countries across North America, Europe, South America, and Asia. Our industry-leading services include game development, art production, audio production, quality assurance, localization, localization QA, player support, community management, and datasets. We're seeking an Account Manager who will lead high-profile relationships within the speech and AI ecosystem. This role combines technical fluency, partnership management, legal and commercial awareness. The successful candidate will act as a trusted interface between client technical teams and internal delivery teams, ensuring alignment, solution clarity, and long-term partnership stability. This is not a pure sales role. It requires strong technical credibility and a customer-first mindset. What You’ll Do - Serve as the primary relationship lead for a major enterprise technology partner within the speech and AI domain. - Engage directly with client stakeholders across Product, Engineering, ML, Data Science, and Speech teams. - Translate complex technical requirements into clear internal delivery plans and execution roadmaps. - Ensure alignment between client expectations and operational capabilities across data, engineering, and production teams. - Demonstrate domain fluency across TTS, ASR, transcription workflows, data collection, annotation, and model training support. - Contribute technical insight during solution design discussions, including conversations around model accuracy, constraints, scaling, and evaluation methodologies. - Protect and stabilize existing revenue streams while supporting responsible expansion aligned with the client’s technical roadmap. - Participate in RFP/RFI responses and commercial discussions with awareness of scope, margin, and delivery risk. - Partner closely with delivery, data operations, engineering, and product teams to ensure seamless transition from scoping to execution. - Identify risks early, escalate appropriately, and maintain transparency across stakeholders. - Build long-term trust through responsiveness, clarity, and professionalism in complex enterprise environments. Requirements - 5+ years of experience within speech technology, AI/ML services, data annotation, data collection, or language technologies. - Experience working with large technology platforms or enterprise AI customers. - Technical fluency in deep learning-based TTS and ASR systems, voice technologies, NLP fundamentals, and model training pipelines. - Strong understanding of annotation workflows, dataset management, and model evaluation concepts. - Comfort engaging directly with engineering, ML, and product stakeholders. - Strong communication skills with the ability to bridge technical and operational teams. - Commercial awareness and structured account management discipline within enterprise environments. Benefits - Competitive base salary - Flexible working arrangements - annual leave plus public holidays - Private healthcare options - Life assurance and income protection coverage - Professional development support and learning opportunities - International exposure across global teams and clients - A collaborative, people-first culture within a growing global organization LI-CD1

As one of our Games Data Scientists you will be the business facing masterminds who help turn business questions into actionable insights. You research and analyze player behaviour, and come up with recommendations. Data Scientists do this by listening to team members, understanding context and challenging business ideas. Data Scientists use diverse techniques - frequentist and Bayesian statistics, machine learning, exploratory and explanatory data analysis, causal inference, data visualization, monte carlo modelling, econometric analysis, etc. Such broad requirements call for the ability to learn quickly, work efficiently with peers and communicate data clearly and effectively. Games Data Scientists are true visionaries who support business decisions with data and in-depth analytics. You will have the opportunity to work with large and complex data sets, with the autonomy to make a huge impact on the success of our games. You will also be working as part of an experienced and highly skilled team of 20 with opportunities to learn and develop. What you'll do - Discuss with stakeholders requirements for analysis - Run exploratory data analysis and turn it into questions which can be answered with analytical techniques - Use simple analytics, statistical or causal inference, machine learning or any other techniques to answer questions and address problems - Communicate results clearly and effectively - Take care of unclear and ambiguous requirements - Communicate complex ideas and analyses in a simple way - Work independently on complex projects - Be willing to acquire new skills and learn new methodologies, whether related to stakeholder management, communication or data science - Be able to use diverse data science tools and approaches What we're looking for - A degree or equivalent work experience in data driven field - Ability to use visualization techniques for communicating data and analysis - Experience of using any of the following to answer business or scientific questions -statistics, mathematics, machine learning, econometrics, causal techniques, monte carlo modelling, etc. - R/Python experience - Knowledge and experience of SQL Why Product Madness? As part of the Aristocrat family, we share their mission of bringing joy to life through the power of play, with a world-class team who creates top-grossing, leading titles in the social casino genre, including Heart of Vegas, Lightning Link, Cashman Casino. With 800 team members across the globe, Product Madness is headquartered in London, with offices in Barcelona, Gdańsk, Lviv, Montreal and a remote team spanning the USA, making us a truly global powerhouse. We live by our People First principle. Regardless of where, when, or how they work, our team members have opportunities to elevate their careers, and grow alongside us. We take pride in fostering an inclusive culture, where our people are encouraged to be their very best, every day. But don’t just take our word for it. In 2024, we made the Global Inspiring Workplace Awards list, and won a bronze award at the Stevies for Great Employers in the ‘Employer of the Year - Media and Entertainment’ category. So, what’s stopping you? Travel Expectations None Additional Information At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship. Why Product Madness ? As part of the Aristocrat family, we share their mission of bringing joy to life through the power of play, with a world-class team who creates top-grossing, leading titles in the social casino genre, including Heart of Vegas, Lightning Link, Cashman Casino. With 800 team members across the globe, Product Madness is headquartered in London, with offices in Barcelona, Gdańsk, Lviv, Montreal and a remote team spanning the USA, making us a truly global powerhouse. We live by our People First principle. Regardless of where, when, or how they work, our team members have opportunities to elevate their careers, and grow alongside us. We take pride in fostering an inclusive culture, where our people are encouraged to be their very best, every day. But don’t just take our word for it. In 2024, we made the Global Inspiring Workplace Awards list, and won a bronze award at the Stevies for Great Employers in the ‘Employer of the Year - Media and Entertainment’ category. So, what’s stopping you? Travel Expectations None Additional Information At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.

At Aristocrat, we deliver world-class entertainment through advanced gaming technologies and unforgettable play experiences. Our passionate team thrives on creativity, collaboration, and driving outstanding quality in our products. As a Senior QA AI Engineer, you'll be instrumental in rebuilding our QA approach by incorporating AI solutions to improve our quality processes. This role is pivotal to ensuring flawless execution and reducing risks across our gaming platforms. You'll join a dynamic team with the freedom to experiment and innovate, backed by a global leader in the gaming industry. This is your chance to build the future of QA in a company that values ambition and proven success! What You'll Do - Explore, configure, and evaluate AI tools for issue detection, code change analysis, product risk identification, and QA workflow improvement. - Build practical AI-assisted quality checks for merge requests, peer reviews, continuous integration workflows, and product change validation. - Assess how new code changes align with existing code patterns, product behavior, known risks, and historical defects. - Validate AI-generated findings from a QA perspective, ensuring they are useful, explainable, actionable, and not excessive noise. - Help define AI-assisted quality gates for Core application repositories and support their gradual rollout in CI workflows. - Translate QA knowledge into prompts, workflows, playbooks, checklists, and evaluation criteria that can scale across teams. - Partner with developers, QA engineers, automation engineers, architects, product managers, and QE Champions to embed quality earlier in the lifecycle. - Identify high-value AI-for-QA use cases across regression analysis, impact assessment, exploratory testing support, and release risk evaluation. - Run structured experiments to measure the efficiency of AI quality checks and improve them based on real outcomes. - Contribute to QA ownership shift initiatives, including quality playbooks, scorecard baselines, and product-team quality enablement. What We're Looking For - 5+ years of professional experience in software quality assurance, with strong hands-on experience testing sophisticated products, platforms, games, or large-scale applications. - Senior-level QA judgment, including significant risk analysis, exploratory thinking, defect investigation, regression assessment, and release quality evaluation. - Keen passion for AI and direct experience employing AI tools to boost analysis, investigation, documentation, testing, code insight, or routine workflows. - Familiarity with Git workflows, pull requests, code reviews, CI/CD concepts, SDLC practices, and modern engineering collaboration. - Ability to distinguish meaningful quality risks from low-value AI noise and challenge AI outputs critically. - Strong communication skills, with the ability to explain quality risks, AI findings, and improvement opportunities clearly to technical and non-technical collaborators. - Comfortable working in ambiguous areas where processes, tooling, and success criteria are still being defined. Nice to Have - Experience in gaming, Unity-based products, live operations, backend systems, APIs, logs, databases, or complex client-server architectures. - Basic scripting, automation awareness, timely engineering, AI agents, static analysis, quality gates, QA metrics, or experience crafting QA playbooks and scorecards. Why Product Madness ? As part of the Aristocrat family, we share their mission of bringing joy to life through the power of play, with a world-class team who creates top-grossing, leading titles in the social casino genre, including Heart of Vegas, Lightning Link, Cashman Casino. With 800 team members across the globe, Product Madness is headquartered in London, with offices in Barcelona, Gdańsk, Lviv, Montreal and a remote team spanning the USA, making us a truly global powerhouse. We live by our People First principle. Regardless of where, when, or how they work, our team members have opportunities to elevate their careers, and grow alongside us. We take pride in fostering an inclusive culture, where our people are encouraged to be their very best, every day. But don’t just take our word for it. In 2024, we made the Global Inspiring Workplace Awards list, and won a bronze award at the Stevies for Great Employers in the ‘Employer of the Year - Media and Entertainment’ category. So, what’s stopping you? Travel Expectations None Additional Information At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.

At Aristocrat, we are advancing gaming technology with modern, powerful solutions. Our mission is to bring happiness to life through play. We value collaboration, creativity, and a strong passion for excellence. We seek an ambitious ML/AI Engineer to join our team. You will help improve our AI capabilities and craft the future of our products. This role offers a chance to work on mature machine learning systems and pioneering AI technologies. You will make a real difference in our products and players' experiences. What You'll Do - Deploy machine learning models that support game features, player experience, and operational efficiency. - Improve the code quality of others' work by refining SQL and Python scripts for data transformation, feature engineering, modelling pipelines, and AI app, thereby ensuring production readiness. - Explore and contribute to early-stage projects involving LLMs, RAG systems, and agentic AI to power new types of automation and decision support. - Develop or refine Streamlit-based tools (or alike) that present ML/AI capabilities to non-technical users via intuitive and interactive interfaces. - Help build and implement model monitoring systems to ensure long-term performance and business alignment. - Collaborate with teams across product, data, and engineering to identify where ML and AI can bring value. - Communicate results, limitations, and recommendations clearly across technical and business collaborators. What We're Looking For - 5+ years of experience applying machine learning to real-world problems, from data to deployment. - Strong Python skills and hands-on experience with ML Python libraries. - Solid SQL expertise and experience working with large data warehouses. - Comfort working with cloud platforms (e.g., GCP, AWS, Azure), Docker, and Airflow. - Ability to build simple user interfaces (e.g., Streamlit) to expose ML models or AI applications to wider teams. - Hands-on experience building applications with Generative AI (LLMs), including API integration. - Interest or early experience in RAG systems—whether through prototypes, side projects, or professional work. - Interest or familiarity with agentic AI concepts or frameworks (e.g., LangChain agents, CrewAI) is a plus, but not a must. - Curiosity, initiative, and a desire to learn and grow in a fast-evolving space. - Degree in a relevant technical field or equivalent experience. Why Product Madness ? As part of the Aristocrat family, we share their mission of bringing joy to life through the power of play, with a world-class team who creates top-grossing, leading titles in the social casino genre, including Heart of Vegas, Lightning Link, Cashman Casino. With 800 team members across the globe, Product Madness is headquartered in London, with offices in Barcelona, Gdańsk, Lviv, Montreal and a remote team spanning the USA, making us a truly global powerhouse. We live by our People First principle. Regardless of where, when, or how they work, our team members have opportunities to elevate their careers, and grow alongside us. We take pride in fostering an inclusive culture, where our people are encouraged to be their very best, every day. But don’t just take our word for it. In 2024, we made the Global Inspiring Workplace Awards list, and won a bronze award at the Stevies for Great Employers in the ‘Employer of the Year - Media and Entertainment’ category. So, what’s stopping you? Travel Expectations None Additional Information At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.

At Aristocrat, we're on a mission to bring happiness to life through the power of play. We believe our innovative and inclusive culture drives our success. We're committed to making a positive impact in the gaming industry. As a Technical Lead - AI Specialist / Automation Engineer, you'll have the chance to develop the future of our AI-based tools and platforms. You will make a significant impact within our engineering, creative, and quality assurance teams. This is an outstanding opportunity for someone passionate about using modern technologies to improve our workflows and deliver world-class gaming experiences. Join our ambitious team and help us continue to raise the standard in responsible gameplay and sustainability! What You'll Do - Cross-Functional AI Tooling: Partner with Dev, Creative, and QA leads to identify operational bottlenecks and engineer tailored AI solutions. - Build and prioritize custom graphics tools to capture and multiply both static and animated art assets. These tools ensure they closely match our studio's outstanding art style. - Architecture & Development: Build, test, and deploy internal AI applications, custom web portals, and Slack/Teams bots using modern LLM APIs. - Workflow Automation: Build end-to-end automated pipelines connecting software systems like Jira, GitHub, and CMS using orchestration frameworks. - Prompt Engineering & Fine-Tuning: Develop, evaluate, and optimize complex system prompts and workflows for high-quality outputs. - Evaluation & Maintenance: Monitor tool performance, manage API cost optimization, mitigate model hallucination, and ensure strict data privacy and security compliance. Domain-Specific Impact Areas - For Dev & Math Teams: Automate tasks such as summarizing technical documentation, generating boilerplate code, and AI-assisted code reviews. Develop specialized AI tools to assist with complex math tooling and game balancing. - For Creative Teams: Build asset-generation pipelines, automated game rules generation, and tools to generate themes that help Artists/Animators scale content securely. - For QA Teams: Build agents that parse acceptance criteria to generate comprehensive test cases, automate synthetic test data generation, generate submission documents, and categorize bug reports. What We're Looking For - Experience: 5+ years in software engineering, with at least 1.5+ years of hands-on experience building production-grade AI/LLM applications. - Specialized Expertise: Strong experience with art and animation pipelines is highly favorable. - Programming: Proficiency in Python or TypeScript/Node.js. - AI Ecosystem: Deep familiarity with LLM APIs, orchestration frameworks, and Vector Databases. - Integrations: Proven track record of working with REST APIs, webhooks, and SDKs for various platforms like GitHub, Jira, Figma, Adobe, Slack, and Teams. Soft Skills & Approach - Product Approach: Ability to interview internal users, translate their difficulties into technical requirements, and build intuitive UX/UI. - Ambiguity Champion: Comfortable working in a rapidly shifting AI landscape, evaluating new frameworks, and picking the right tool for the job. Qualification - Education: Computer Science Education (B.Tech/BE/MCA). Why Aristocrat? Aristocrat is a world leader in gaming content and technology, and a top-tier publisher of free-to-play mobile games. We deliver great performance for our B2B customers and bring joy to the lives of the millions of people who love to play our casino and mobile games. And while we focus on fun, we never forget our responsibilities. We strive to lead the way in responsible gameplay, and to lift the bar in company governance, employee wellbeing and sustainability. We’re a diverse business united by shared values and an inspiring mission to bring joy to life through the power of play. We aim to create an environment where individual differences are valued, and all employees have the opportunity to realize their potential. We welcome and encourage applications from all people regardless of age, gender, race, ethnicity, cultural background, disability status or LGBTQ+ identity. EEO M/F/D/V - World Leader in Gaming Entertainment - Robust benefits package - Global career opportunities Our Values - All about the Player - Talent Unleashed - Collective Brilliance - Good Business Good Citizen Travel Expectations None Additional Information At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.

Are you ready to join a world-class team and make a significant impact on the gaming industry? At Aristocrat, we aim to bring happiness to life through the power of play. We seek a Principal Data Scientist to help us reach our ambitious goals. You will have a vital role in enhancing gameplay, boosting player engagement, and improving business outcomes with your advanced data expertise. This opportunity allows you to work on innovative projects, collaborate with diverse teams, and guide critical initiatives that will develop the future of our leading games. What You'll Do - Lead high-impact data science initiatives end-to-end, including problem framing, methodology selection, experiment development, implementation partnership, and impact measurement. - Build and deliver machine learning and reinforcement learning solutions to improve player engagement, retention, monetization, and operational outcomes. - Lead the modeling framework for complex systems, guaranteeing comprehensive evaluation and monitoring of causal inference, uplift modeling, sequential decisioning, bandits/reinforcement learning, and forecasting. - Partner with game teams to define success metrics, guardrails, and decision frameworks, translating analytical results into actionable product and operational actions. - Define and uphold engineering standards and guidelines for model development, including validation, uncertainty, reproducibility, and bias/quality checks. - Drive scalable experimentation with A/B and Multi-armed bandit testing frameworks, power analysis, variance reduction, and online-offline alignment. - Work together with Data Engineering, MLOps, and Game Tech teams to guarantee dependable data foundations, feature accessibility, and model deployment pathways. - Build internal data products to improve the speed and quality of decision-making, such as AB-test calculators, decision tools, and automated insights. - Provide technical leadership through building and code reviews, mentoring, and coaching, improving the standard of data science craft across the organization. - Serve as a reliable collaborator throughout the organization, promoting data-informed decision-making and enabling business units to embrace data products. - Translate complex analytical insights into actionable recommendations, presenting them to senior leadership to inform critical business decisions and encourage collaborators. What We Are Seeking - Education: PhD or MSc in Data Science, Computer Science, Statistics, Physics, Mathematics, or a related quantitative field, or equivalent experience in practice. - Experience: 5+ years of professional data science experience. You have delivered at least 3 data or ML products from problem definition to production deployment and monitoring. - Demonstrated proficiency in clustering, predictive modeling, reinforcement learning, and Bayesian statistics. - Hands-on experience in software engineering, MLOps, and deploying machine learning models at scale. - Proficiency in SQL, Python, and familiarity with big data technologies (e.g., Kafka, Spark) and/or cloud platforms (e.g., GCP, AWS, or Azure). - Industry knowledge: Experience in gaming or digital entertainment is a strong plus. Why Product Madness ? As part of the Aristocrat family, we share their mission of bringing joy to life through the power of play, with a world-class team who creates top-grossing, leading titles in the social casino genre, including Heart of Vegas, Lightning Link, Cashman Casino. With 800 team members across the globe, Product Madness is headquartered in London, with offices in Barcelona, Gdańsk, Lviv, Montreal and a remote team spanning the USA, making us a truly global powerhouse. We live by our People First principle. Regardless of where, when, or how they work, our team members have opportunities to elevate their careers, and grow alongside us. We take pride in fostering an inclusive culture, where our people are encouraged to be their very best, every day. But don’t just take our word for it. In 2024, we made the Global Inspiring Workplace Awards list, and won a bronze award at the Stevies for Great Employers in the ‘Employer of the Year - Media and Entertainment’ category. So, what’s stopping you? Travel Expectations None Additional Information At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.

At Aristocrat, we are advancing gaming technology with modern, powerful solutions. Our mission is to bring happiness to life through play. We value collaboration, creativity, and a strong passion for excellence. We seek an ambitious ML/AI Engineer to join our team. You will help improve our AI capabilities and craft the future of our products. This role offers a chance to work on mature machine learning systems and pioneering AI technologies. You will make a real difference in our products and players' experiences. What You'll Do - Deploy machine learning models that support game features, player experience, and operational efficiency. - Improve the code quality of others' work by refining SQL and Python scripts for data transformation, feature engineering, modelling pipelines, and AI app, thereby ensuring production readiness. - Explore and contribute to early-stage projects involving LLMs, RAG systems, and agentic AI to power new types of automation and decision support. - Develop or refine Streamlit-based tools (or alike) that present ML/AI capabilities to non-technical users via intuitive and interactive interfaces. - Help build and implement model monitoring systems to ensure long-term performance and business alignment. - Collaborate with teams across product, data, and engineering to identify where ML and AI can bring value. - Communicate results, limitations, and recommendations clearly across technical and business collaborators. What We're Looking For - 5+ years of experience applying machine learning to real-world problems, from data to deployment. - Strong Python skills and hands-on experience with ML Python libraries. - Solid SQL expertise and experience working with large data warehouses. - Comfort working with cloud platforms (e.g., GCP, AWS, Azure), Docker, and Airflow. - Ability to build simple user interfaces (e.g., Streamlit) to expose ML models or AI applications to wider teams. - Hands-on experience building applications with Generative AI (LLMs), including API integration. - Interest or early experience in RAG systems—whether through prototypes, side projects, or professional work. - Interest or familiarity with agentic AI concepts or frameworks (e.g., LangChain agents, CrewAI) is a plus, but not a must. - Curiosity, initiative, and a desire to learn and grow in a fast-evolving space. - Degree in a relevant technical field or equivalent experience. Travel Expectations Minimal travel required (up to 5%) Why Aristocrat? Aristocrat is a world leader in gaming content and technology, and a top-tier publisher of free-to-play mobile games. We deliver great performance for our B2B customers and bring joy to the lives of the millions of people who love to play our casino and mobile games. And while we focus on fun, we never forget our responsibilities. We strive to lead the way in responsible gameplay, and to lift the bar in company governance, employee wellbeing and sustainability. We’re a diverse business united by shared values and an inspiring mission to bring joy to life through the power of play. We aim to create an environment where individual differences are valued, and all employees have the opportunity to realize their potential. We welcome and encourage applications from all people regardless of age, gender, race, ethnicity, cultural background, disability status or LGBTQ+ identity. EEO M/F/D/V - World Leader in Gaming Entertainment - Robust benefits package - Global career opportunities Our Values - All about the Player - Talent Unleashed - Collective Brilliance - Good Business Good Citizen Travel Expectations None Additional Information At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.

N

SWQA Development Engineer

Negotiable

NVIDIA is the world leader in GPU Computing. We are passionate about markets include gaming, automotive, professional vision, HPC, datacenters and networking in addition to our traditional OEM business. NVIDIA is also well positioned as the ‘AI Computing Company’, and NVIDIA GPUs are the brains powering modern Deep Learning software frameworks, accelerated analytics, modern data centers, and driving autonomous vehicles. We have some of the most experienced and dedicated people in the world working for us. If you are dedicated, forward-thinking, and if working with hard-working technical people across countries sounds exciting, this job is for you. We are now looking for a Software QA Development Engineer; you will collaborate with multi-functional groups. SWQA Developer Engineer at NVIDIA is responsible for test planning, execution, and reporting, you will also write scripts to automate testing, design and develop tools for QA team, or develop integration tests for validation, so QA Engineer can improve productivity or optimize test plan. As a SWQA Developer, you must identify weak spots and constantly design better and creative test plans to break software and identify potential issues. You will have a huge impact on the quality of NVIDIA's products. What you’ll be doing: - Review product requirements and develop test matrix. - Build test plan, design test case, execute and report test progress, bugs, and results to management. - Automate test cases and assist in the architecture, crafting and implementing of test frameworks. - Manage bug lifecycle and co-work with inter-groups to drive for solutions. - In-house repro and verify customer issues/fixes. What we need to see: - BS or higher degree or equivalent experience in CS/EE/CE plus equivalent with 2+ years QA experience. - Proficient in Unix/Linux and shell/python programming skills. - Rich experience in test cases development, tests automation in API/UI and failure analysis. - Solid experience with AI development tools, including creating test cases, automating test cases, and ensuring comprehensive code coverage, among other related tasks - Good knowledge and hands-on experience in model testing and LLM benchmarking - Good QA sense including attention to detail, problem-solving, data analysis, quality standards knowledge, time management etc. - Excellent communicator, fluent written and verbal English. - Good teamwork with ability to work independently. - Passion to learn new hardcore technology. Ways to stand out from the crowd: - Experience working with NVIDIA GPU hardware is a strong plus - Background in deep learning frameworks is a plus - Experience in parallel programming ideally CUDA/OpenCL is a plus

N

Senior Platform Software Engineer – Factory

Negotiable

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We are looking to grow our company and establish teams with the most thoughtful people in the world. We’re looking for a highly motivated, creative Factory System Software and Diagnostics Integration engineer to join the Datacenter Platform Software team. You will play a crucial role in coordinating factory projects, guiding cross-functional teams, and collaborating with stakeholders to ensure the successful delivery of firmware, software and diagnostics that align with business objectives, as well as analyzing, evaluating, and improving factory processes. This role is for NVIDIA's GPU or DPU based products. Join us at the forefront of technological advancement. What you’ll be doing: - You will Lead Factory Validation projects from Software, Firmware and Diagnostics perspectives, ensuring successful implementation, integration, and standardization across multiple locations. - Lead the integration and handover of the Software, Firmware and Diags for all products. - Act as a primary consultant, offering strategic direction and leadership to the engineering teams. - Engage with ODMs and cross-functional teams to collect and analyze factory requirements, delivering solutions that meet both business and operational needs. - Analyze Factory processes, systems, and workflows to identify areas for improvement and optimization. - Develop and maintain detailed documentation, including system requirements, processes and standard operating procedures (SOPs). Collaborate across teams to design, configure, and implement changes to factory ensuring seamless integration and minimal disruption. - Perform system testing, validation, and fixing to ensure exact functionality and alignment with factory requirements. - Monitor, collect, and analyze data to identify and address issues, and propose solutions to enhance system reliability and efficiency. Collaborate with vendors and external partners to evaluate, select, and implement new factory systems or software/firmware upgrades. What we need to see: - 5+ years of relevant experience. - BS, MS, or PhD in EE/CS or related field of education (or equivalent experience). - 2-5 years of having worked as an Integration Engineer at Factory settings. - Strong knowledge of server manageability, bring up and deployment in data centers. Proven understanding of Firmware, Diagnostics for x86 and ARM servers - Experience working with ODM/OEMs to deliver quality servers. - Strong and demonstrable skill in python, C/C++, and shell scripting. - Experience programming and debugging skills for GPU platforms. - You should possess excellent written and oral communication skills, excellent work ethics, a deep sense of teamwork, love to produce quality work and commitment to finish your tasks every single day. You are a self-starter who loves to find creative solutions to complicated problems and hands on with coding. Ways to stand out from the crowd: - Worked on Factory integration or hardware bring up projects. - Hands on with x86 or ARM system architecture. NVIDIA is considered one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 23, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.

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Manager, System Software Engineering - Factory

Negotiable

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.”   We're   looking to grow our company and establish teams with the most thoughtful people in the world. We are the Datacenter System Software team, and we are looking for a highly motivated, creative Engineering Manager to drive Factory System Software and Diagnostics Integration end to end. You will build and lead a global engineering team delivering embedded code, application programs, and diagnostic updates. These updates support factories building NVIDIA's GPU- and DPU-based products. This includes tightly coupled rack-scale systems such as GB200/GB300 NVL72 and next-generation platforms. The work covers concurrent NPI ramps and sustaining production. You will partner with system architects, firmware developers, SWQA, product engineering, compliance and security teams, program and product management, and ODM/CM manufacturing partners to ensure the highest-quality releases land on factory floors — and that no bug is discovered there first.   Join us at the forefront of technological advancement. What you’ll be doing: - Build, lead, mentor, and grow a global factory engineering team spanning the US and Taiwan — operating a follow-the-sun coverage model with on-site presence at ODM/CM partner factories. Own hiring, career development, calibration, and succession planning. - Define Factory readiness scope and workflows for rack scale products coordinating multi-functionally with product management, technical   architects   and program management. Deliver those workflows through the validation matrix, ensuring delivered firmware and software is of the highest quality. Solutions must scale and be resilient. - Own technical leadership for how firmware, software, and diagnostics releases reach factories building rack-scale systems. These systems include tightly coupled   compute   and switch trays. Build the end-to-end infrastructure and workflows that ensure every release arrives with efficient quality. - Left-shift release quality: partner with all matrixed organizations — developers, SWQA, and product engineering — in a fast-moving environment with end-to-end CI/CD so that no bug is first found at a factory site. Enforce well-placed quality gates at every product landmark, publish and track indicators at a regular cadence, and report release progress to collaborators and executives. - Own the factory escalation path: triage SLAs, 24×7 coverage, failure root-cause   and deflection, and   bonepile   burn-down — minimizing line-down time through NPI ramps and mass production. - Shape the team's roadmap and drive innovation with a strong focus on automation and AI-assisted validation and triage — automating station readiness, firmware-update flows, and log triage so senior engineering time shifts from setup to analysis. - Continuously analyze factory processes, systems, and workflows to   identify   improvement and optimization opportunities; remove bottlenecks, document and publish standard operating procedures (SOPs), and ensure the team performs in the most efficient and transparent way against measurable targets. What we need to see: - 10+ overall years in the software industry with specialization in system software and/or firmware development. - 3+ years of engineering management or technical leadership experience, including building and leading geographically distributed teams. - BS, MS, or PhD in CS, CE, EE, or a related technical field — or equivalent experience. - Proven   track record   of shipping scalable server products through factory ramps — from NPI bring-up to mass production — collaborating with hardware, firmware, manufacturing, diagnostics, and QA teams. - Experience working with ODM/OEM partners to deliver quality servers and solutions for large-scale data centers. - A self-starter who loves finding creative solutions to complicated problems, with excellent written and oral communication skills — including executive-level reporting — strong work ethic, and dedication to teamwork. - Flexibility to work and communicate effectively across teams, partners, and time zones. Ways to stand out from the crowd: - Experience leading bring-up for sophisticated rack-scale   compute   architectures like GB200/GB300 NVL72. - Familiarity with manufacturing test flows (L6/L10/L11/L12 stations), factory test coverage, and MES integration. - Hands-on experience with x86/ARM system architecture and coding (C/C++, Python).     Experience with SCM (Git, Perforce) and project management tools (Jira). - Track record   of integrating AI/LLM tooling into engineering workflows — for triage, validation, log analysis, or test generation. - Experience standing up follow-the-sun support organizations with measurable response SLAs. 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're   creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 23, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.

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Senior Mixed Signal Circuit Design Engineer

Negotiable

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. We are now looking for a Senior Mixed Signal Design Engineer to be part of the Mixed Signal design team building next generation NVLINK. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. The team is responsible for the development and implementation of high-speed interfaces and analog circuits. Gain hands-on experience taking innovative integrated circuit designs at data rates of 100Gbps and higher from concept through silicon characterization. Come join our dynamic team today! What you'll be doing: - You will be part of the design and implementation of high-speed interface circuits; Have the chance to create projects including high speed transceivers and high frequency PLLs. - Become involved in the design, simulation, and verification of mixed-signal circuits; Lead mask designers, provide mentorship for floorplan and layout design. - Provide support to the lab characterization of silicon and pursue the challenges of circuit design in deep submicron CMOS. - You will take designs through implementation and productizing. - Collaborate with multi-functional teams. What we need to see: - BS or MS in Electrical Engineering, PhD preferred (or equivalent experience) - 8+ years of design experience in CMOS analog / mixed-signal circuit - Working knowledge of Cadence custom design tools, circuit simulator, timing analysis tool; Your extensive design experience in Data Converters, Tx, Rx, CDR, PLL for high-speed IO interfaces. - Someone who's an exceptional teammate with good interpersonal skills; Validated experience in leading and mentoring designers. - In-depth understanding of deep submicron CMOS process and related circuit design issues; Proven experience in silicon bring-up, debugging and use of lab instrumentation is required. - Knowledge in system level timing budget, signal integrity, and power integrity is a plus; Experience in Verilog, Matlab, Nanotime is helpful. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative and autonomous, we want to hear from you.

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Senior ASIC Verification Engineer

Negotiable

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities which are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence. The NVIDIA System-On-Chip (SOC) group is looking for an experienced ASIC Verification Engineer! In this position you will have the chance to create a high-level and broad impact at NVIDIA working on a system-level IP responsible for measuring performance on multiple projects. Your focus will be on verifying and improving the related verification methodologies for the corresponding design (RTL). For this position, you should have real passion for verification methodologies and implementation that enable high quality system-level IP design and robust verification at multiple environment levels (e.g., unit, sub-system, and SOC). What you'll be doing: - Design and maintain the unit level/sub-system Verification environment. - Understand the architecture specifications, develop and carry out the test plan to verify the design. - Create UVM components, sequences, tests and scoreboards. - Sign off on the verification efforts with very high-quality code and functional coverage. - Launch regressions, resolve the issues, and make forward progress towards achieving the DV milestone targets - Automate the manual steps involved in launching build, regression, and triage. - Collaborate with architects, designers, and software engineers to achieve project goals. - Proactively contributes to improving the efficiency of the testbenches by embracing the latest techniques. - Responsible for end-to-end verification of IPs, ensuring the highest quality delivery. What we need to see: - Bachelor’s or Master’s degree in Computer or Electrical Engineering (or equivalent experience) with 3 years of relevant experience. - Proficient with System Verilog, UVM required and OOPS based programming. - Strong coding skills in Python or other industry-standard scripting languages. - Strong understanding of RTL design (Verilog). - Good understanding of computer architecture fundamentals. - Familiarity with verification tools such as VCS or equivalent simulation tools, and debug tools like Verdi. With industry-leading salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. The most forward-thinking engineers in the world do their life’s work at NVIDIA. If you're creative and autonomous, with a real passion for technology, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.

As one of our Games Data Scientists you will be the business facing masterminds who help turn business questions into actionable insights. You research and analyze player behaviour, and come up with recommendations. Data Scientists do this by listening to team members, understanding context and challenging business ideas. Data Scientists use diverse techniques - frequentist and Bayesian statistics, machine learning, exploratory and explanatory data analysis, causal inference, data visualization, monte carlo modelling, econometric analysis, etc. Such broad requirements call for the ability to learn quickly, work efficiently with peers and communicate data clearly and effectively. Games Data Scientists are true visionaries who support business decisions with data and in-depth analytics. You will have the opportunity to work with large and complex data sets, with the autonomy to make a huge impact on the success of our games. You will also be working as part of an experienced and highly skilled team of 20 with opportunities to learn and develop. What you'll do - Discuss with stakeholders requirements for analysis - Run exploratory data analysis and turn it into questions which can be answered with analytical techniques - Use simple analytics, statistical or causal inference, machine learning or any other techniques to answer questions and address problems - Communicate results clearly and effectively - Take care of unclear and ambiguous requirements - Communicate complex ideas and analyses in a simple way - Work independently on complex projects - Be willing to acquire new skills and learn new methodologies, whether related to stakeholder management, communication or data science - Be able to use diverse data science tools and approaches What we're looking for - A degree or equivalent work experience in data driven field - Ability to use visualization techniques for communicating data and analysis - Experience of using any of the following to answer business or scientific questions -statistics, mathematics, machine learning, econometrics, causal techniques, monte carlo modelling, etc. - R/Python experience - Knowledge and experience of SQL Why Product Madness? As part of the Aristocrat family, we share their mission of bringing joy to life through the power of play, with a world-class team who creates top-grossing, leading titles in the social casino genre, including Heart of Vegas, Lightning Link, Cashman Casino. With 800 team members across the globe, Product Madness is headquartered in London, with offices in Barcelona, Gdańsk, Lviv, Montreal and a remote team spanning the USA, making us a truly global powerhouse. We live by our People First principle. Regardless of where, when, or how they work, our team members have opportunities to elevate their careers, and grow alongside us. We take pride in fostering an inclusive culture, where our people are encouraged to be their very best, every day. But don’t just take our word for it. In 2024, we made the Global Inspiring Workplace Awards list, and won a bronze award at the Stevies for Great Employers in the ‘Employer of the Year - Media and Entertainment’ category. So, what’s stopping you? Travel Expectations None Additional Information At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship. Why Product Madness ? As part of the Aristocrat family, we share their mission of bringing joy to life through the power of play, with a world-class team who creates top-grossing, leading titles in the social casino genre, including Heart of Vegas, Lightning Link, Cashman Casino. With 800 team members across the globe, Product Madness is headquartered in London, with offices in Barcelona, Gdańsk, Lviv, Montreal and a remote team spanning the USA, making us a truly global powerhouse. We live by our People First principle. Regardless of where, when, or how they work, our team members have opportunities to elevate their careers, and grow alongside us. We take pride in fostering an inclusive culture, where our people are encouraged to be their very best, every day. But don’t just take our word for it. In 2024, we made the Global Inspiring Workplace Awards list, and won a bronze award at the Stevies for Great Employers in the ‘Employer of the Year - Media and Entertainment’ category. So, what’s stopping you? Travel Expectations None Additional Information At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.

At Aristocrat, we deliver world-class entertainment through advanced gaming technologies and unforgettable play experiences. Our passionate team thrives on creativity, collaboration, and driving outstanding quality in our products. As a Senior QA AI Engineer, you'll be instrumental in rebuilding our QA approach by incorporating AI solutions to improve our quality processes. This role is pivotal to ensuring flawless execution and reducing risks across our gaming platforms. You'll join a dynamic team with the freedom to experiment and innovate, backed by a global leader in the gaming industry. This is your chance to build the future of QA in a company that values ambition and proven success! What You'll Do - Explore, configure, and evaluate AI tools for issue detection, code change analysis, product risk identification, and QA workflow improvement. - Build practical AI-assisted quality checks for merge requests, peer reviews, continuous integration workflows, and product change validation. - Assess how new code changes align with existing code patterns, product behavior, known risks, and historical defects. - Validate AI-generated findings from a QA perspective, ensuring they are useful, explainable, actionable, and not excessive noise. - Help define AI-assisted quality gates for Core application repositories and support their gradual rollout in CI workflows. - Translate QA knowledge into prompts, workflows, playbooks, checklists, and evaluation criteria that can scale across teams. - Partner with developers, QA engineers, automation engineers, architects, product managers, and QE Champions to embed quality earlier in the lifecycle. - Identify high-value AI-for-QA use cases across regression analysis, impact assessment, exploratory testing support, and release risk evaluation. - Run structured experiments to measure the efficiency of AI quality checks and improve them based on real outcomes. - Contribute to QA ownership shift initiatives, including quality playbooks, scorecard baselines, and product-team quality enablement. What We're Looking For - 5+ years of professional experience in software quality assurance, with strong hands-on experience testing sophisticated products, platforms, games, or large-scale applications. - Senior-level QA judgment, including significant risk analysis, exploratory thinking, defect investigation, regression assessment, and release quality evaluation. - Keen passion for AI and direct experience employing AI tools to boost analysis, investigation, documentation, testing, code insight, or routine workflows. - Familiarity with Git workflows, pull requests, code reviews, CI/CD concepts, SDLC practices, and modern engineering collaboration. - Ability to distinguish meaningful quality risks from low-value AI noise and challenge AI outputs critically. - Strong communication skills, with the ability to explain quality risks, AI findings, and improvement opportunities clearly to technical and non-technical collaborators. - Comfortable working in ambiguous areas where processes, tooling, and success criteria are still being defined. Nice to Have - Experience in gaming, Unity-based products, live operations, backend systems, APIs, logs, databases, or complex client-server architectures. - Basic scripting, automation awareness, timely engineering, AI agents, static analysis, quality gates, QA metrics, or experience crafting QA playbooks and scorecards. Why Product Madness ? As part of the Aristocrat family, we share their mission of bringing joy to life through the power of play, with a world-class team who creates top-grossing, leading titles in the social casino genre, including Heart of Vegas, Lightning Link, Cashman Casino. With 800 team members across the globe, Product Madness is headquartered in London, with offices in Barcelona, Gdańsk, Lviv, Montreal and a remote team spanning the USA, making us a truly global powerhouse. We live by our People First principle. Regardless of where, when, or how they work, our team members have opportunities to elevate their careers, and grow alongside us. We take pride in fostering an inclusive culture, where our people are encouraged to be their very best, every day. But don’t just take our word for it. In 2024, we made the Global Inspiring Workplace Awards list, and won a bronze award at the Stevies for Great Employers in the ‘Employer of the Year - Media and Entertainment’ category. So, what’s stopping you? Travel Expectations None Additional Information At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.

At Aristocrat, we are advancing gaming technology with modern, powerful solutions. Our mission is to bring happiness to life through play. We value collaboration, creativity, and a strong passion for excellence. We seek an ambitious ML/AI Engineer to join our team. You will help improve our AI capabilities and craft the future of our products. This role offers a chance to work on mature machine learning systems and pioneering AI technologies. You will make a real difference in our products and players' experiences. What You'll Do - Deploy machine learning models that support game features, player experience, and operational efficiency. - Improve the code quality of others' work by refining SQL and Python scripts for data transformation, feature engineering, modelling pipelines, and AI app, thereby ensuring production readiness. - Explore and contribute to early-stage projects involving LLMs, RAG systems, and agentic AI to power new types of automation and decision support. - Develop or refine Streamlit-based tools (or alike) that present ML/AI capabilities to non-technical users via intuitive and interactive interfaces. - Help build and implement model monitoring systems to ensure long-term performance and business alignment. - Collaborate with teams across product, data, and engineering to identify where ML and AI can bring value. - Communicate results, limitations, and recommendations clearly across technical and business collaborators. What We're Looking For - 5+ years of experience applying machine learning to real-world problems, from data to deployment. - Strong Python skills and hands-on experience with ML Python libraries. - Solid SQL expertise and experience working with large data warehouses. - Comfort working with cloud platforms (e.g., GCP, AWS, Azure), Docker, and Airflow. - Ability to build simple user interfaces (e.g., Streamlit) to expose ML models or AI applications to wider teams. - Hands-on experience building applications with Generative AI (LLMs), including API integration. - Interest or early experience in RAG systems—whether through prototypes, side projects, or professional work. - Interest or familiarity with agentic AI concepts or frameworks (e.g., LangChain agents, CrewAI) is a plus, but not a must. - Curiosity, initiative, and a desire to learn and grow in a fast-evolving space. - Degree in a relevant technical field or equivalent experience. Why Product Madness ? As part of the Aristocrat family, we share their mission of bringing joy to life through the power of play, with a world-class team who creates top-grossing, leading titles in the social casino genre, including Heart of Vegas, Lightning Link, Cashman Casino. With 800 team members across the globe, Product Madness is headquartered in London, with offices in Barcelona, Gdańsk, Lviv, Montreal and a remote team spanning the USA, making us a truly global powerhouse. We live by our People First principle. Regardless of where, when, or how they work, our team members have opportunities to elevate their careers, and grow alongside us. We take pride in fostering an inclusive culture, where our people are encouraged to be their very best, every day. But don’t just take our word for it. In 2024, we made the Global Inspiring Workplace Awards list, and won a bronze award at the Stevies for Great Employers in the ‘Employer of the Year - Media and Entertainment’ category. So, what’s stopping you? Travel Expectations None Additional Information At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.

At Aristocrat, we're on a mission to bring happiness to life through the power of play. We believe our innovative and inclusive culture drives our success. We're committed to making a positive impact in the gaming industry. As a Technical Lead - AI Specialist / Automation Engineer, you'll have the chance to develop the future of our AI-based tools and platforms. You will make a significant impact within our engineering, creative, and quality assurance teams. This is an outstanding opportunity for someone passionate about using modern technologies to improve our workflows and deliver world-class gaming experiences. Join our ambitious team and help us continue to raise the standard in responsible gameplay and sustainability! What You'll Do - Cross-Functional AI Tooling: Partner with Dev, Creative, and QA leads to identify operational bottlenecks and engineer tailored AI solutions. - Build and prioritize custom graphics tools to capture and multiply both static and animated art assets. These tools ensure they closely match our studio's outstanding art style. - Architecture & Development: Build, test, and deploy internal AI applications, custom web portals, and Slack/Teams bots using modern LLM APIs. - Workflow Automation: Build end-to-end automated pipelines connecting software systems like Jira, GitHub, and CMS using orchestration frameworks. - Prompt Engineering & Fine-Tuning: Develop, evaluate, and optimize complex system prompts and workflows for high-quality outputs. - Evaluation & Maintenance: Monitor tool performance, manage API cost optimization, mitigate model hallucination, and ensure strict data privacy and security compliance. Domain-Specific Impact Areas - For Dev & Math Teams: Automate tasks such as summarizing technical documentation, generating boilerplate code, and AI-assisted code reviews. Develop specialized AI tools to assist with complex math tooling and game balancing. - For Creative Teams: Build asset-generation pipelines, automated game rules generation, and tools to generate themes that help Artists/Animators scale content securely. - For QA Teams: Build agents that parse acceptance criteria to generate comprehensive test cases, automate synthetic test data generation, generate submission documents, and categorize bug reports. What We're Looking For - Experience: 5+ years in software engineering, with at least 1.5+ years of hands-on experience building production-grade AI/LLM applications. - Specialized Expertise: Strong experience with art and animation pipelines is highly favorable. - Programming: Proficiency in Python or TypeScript/Node.js. - AI Ecosystem: Deep familiarity with LLM APIs, orchestration frameworks, and Vector Databases. - Integrations: Proven track record of working with REST APIs, webhooks, and SDKs for various platforms like GitHub, Jira, Figma, Adobe, Slack, and Teams. Soft Skills & Approach - Product Approach: Ability to interview internal users, translate their difficulties into technical requirements, and build intuitive UX/UI. - Ambiguity Champion: Comfortable working in a rapidly shifting AI landscape, evaluating new frameworks, and picking the right tool for the job. Qualification - Education: Computer Science Education (B.Tech/BE/MCA). Why Aristocrat? Aristocrat is a world leader in gaming content and technology, and a top-tier publisher of free-to-play mobile games. We deliver great performance for our B2B customers and bring joy to the lives of the millions of people who love to play our casino and mobile games. And while we focus on fun, we never forget our responsibilities. We strive to lead the way in responsible gameplay, and to lift the bar in company governance, employee wellbeing and sustainability. We’re a diverse business united by shared values and an inspiring mission to bring joy to life through the power of play. We aim to create an environment where individual differences are valued, and all employees have the opportunity to realize their potential. We welcome and encourage applications from all people regardless of age, gender, race, ethnicity, cultural background, disability status or LGBTQ+ identity. EEO M/F/D/V - World Leader in Gaming Entertainment - Robust benefits package - Global career opportunities Our Values - All about the Player - Talent Unleashed - Collective Brilliance - Good Business Good Citizen Travel Expectations None Additional Information At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.

Are you ready to join a world-class team and make a significant impact on the gaming industry? At Aristocrat, we aim to bring happiness to life through the power of play. We seek a Principal Data Scientist to help us reach our ambitious goals. You will have a vital role in enhancing gameplay, boosting player engagement, and improving business outcomes with your advanced data expertise. This opportunity allows you to work on innovative projects, collaborate with diverse teams, and guide critical initiatives that will develop the future of our leading games. What You'll Do - Lead high-impact data science initiatives end-to-end, including problem framing, methodology selection, experiment development, implementation partnership, and impact measurement. - Build and deliver machine learning and reinforcement learning solutions to improve player engagement, retention, monetization, and operational outcomes. - Lead the modeling framework for complex systems, guaranteeing comprehensive evaluation and monitoring of causal inference, uplift modeling, sequential decisioning, bandits/reinforcement learning, and forecasting. - Partner with game teams to define success metrics, guardrails, and decision frameworks, translating analytical results into actionable product and operational actions. - Define and uphold engineering standards and guidelines for model development, including validation, uncertainty, reproducibility, and bias/quality checks. - Drive scalable experimentation with A/B and Multi-armed bandit testing frameworks, power analysis, variance reduction, and online-offline alignment. - Work together with Data Engineering, MLOps, and Game Tech teams to guarantee dependable data foundations, feature accessibility, and model deployment pathways. - Build internal data products to improve the speed and quality of decision-making, such as AB-test calculators, decision tools, and automated insights. - Provide technical leadership through building and code reviews, mentoring, and coaching, improving the standard of data science craft across the organization. - Serve as a reliable collaborator throughout the organization, promoting data-informed decision-making and enabling business units to embrace data products. - Translate complex analytical insights into actionable recommendations, presenting them to senior leadership to inform critical business decisions and encourage collaborators. What We Are Seeking - Education: PhD or MSc in Data Science, Computer Science, Statistics, Physics, Mathematics, or a related quantitative field, or equivalent experience in practice. - Experience: 5+ years of professional data science experience. You have delivered at least 3 data or ML products from problem definition to production deployment and monitoring. - Demonstrated proficiency in clustering, predictive modeling, reinforcement learning, and Bayesian statistics. - Hands-on experience in software engineering, MLOps, and deploying machine learning models at scale. - Proficiency in SQL, Python, and familiarity with big data technologies (e.g., Kafka, Spark) and/or cloud platforms (e.g., GCP, AWS, or Azure). - Industry knowledge: Experience in gaming or digital entertainment is a strong plus. Why Product Madness ? As part of the Aristocrat family, we share their mission of bringing joy to life through the power of play, with a world-class team who creates top-grossing, leading titles in the social casino genre, including Heart of Vegas, Lightning Link, Cashman Casino. With 800 team members across the globe, Product Madness is headquartered in London, with offices in Barcelona, Gdańsk, Lviv, Montreal and a remote team spanning the USA, making us a truly global powerhouse. We live by our People First principle. Regardless of where, when, or how they work, our team members have opportunities to elevate their careers, and grow alongside us. We take pride in fostering an inclusive culture, where our people are encouraged to be their very best, every day. But don’t just take our word for it. In 2024, we made the Global Inspiring Workplace Awards list, and won a bronze award at the Stevies for Great Employers in the ‘Employer of the Year - Media and Entertainment’ category. So, what’s stopping you? Travel Expectations None Additional Information At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.

At Aristocrat, we are advancing gaming technology with modern, powerful solutions. Our mission is to bring happiness to life through play. We value collaboration, creativity, and a strong passion for excellence. We seek an ambitious ML/AI Engineer to join our team. You will help improve our AI capabilities and craft the future of our products. This role offers a chance to work on mature machine learning systems and pioneering AI technologies. You will make a real difference in our products and players' experiences. What You'll Do - Deploy machine learning models that support game features, player experience, and operational efficiency. - Improve the code quality of others' work by refining SQL and Python scripts for data transformation, feature engineering, modelling pipelines, and AI app, thereby ensuring production readiness. - Explore and contribute to early-stage projects involving LLMs, RAG systems, and agentic AI to power new types of automation and decision support. - Develop or refine Streamlit-based tools (or alike) that present ML/AI capabilities to non-technical users via intuitive and interactive interfaces. - Help build and implement model monitoring systems to ensure long-term performance and business alignment. - Collaborate with teams across product, data, and engineering to identify where ML and AI can bring value. - Communicate results, limitations, and recommendations clearly across technical and business collaborators. What We're Looking For - 5+ years of experience applying machine learning to real-world problems, from data to deployment. - Strong Python skills and hands-on experience with ML Python libraries. - Solid SQL expertise and experience working with large data warehouses. - Comfort working with cloud platforms (e.g., GCP, AWS, Azure), Docker, and Airflow. - Ability to build simple user interfaces (e.g., Streamlit) to expose ML models or AI applications to wider teams. - Hands-on experience building applications with Generative AI (LLMs), including API integration. - Interest or early experience in RAG systems—whether through prototypes, side projects, or professional work. - Interest or familiarity with agentic AI concepts or frameworks (e.g., LangChain agents, CrewAI) is a plus, but not a must. - Curiosity, initiative, and a desire to learn and grow in a fast-evolving space. - Degree in a relevant technical field or equivalent experience. Travel Expectations Minimal travel required (up to 5%) Why Aristocrat? Aristocrat is a world leader in gaming content and technology, and a top-tier publisher of free-to-play mobile games. We deliver great performance for our B2B customers and bring joy to the lives of the millions of people who love to play our casino and mobile games. And while we focus on fun, we never forget our responsibilities. We strive to lead the way in responsible gameplay, and to lift the bar in company governance, employee wellbeing and sustainability. We’re a diverse business united by shared values and an inspiring mission to bring joy to life through the power of play. We aim to create an environment where individual differences are valued, and all employees have the opportunity to realize their potential. We welcome and encourage applications from all people regardless of age, gender, race, ethnicity, cultural background, disability status or LGBTQ+ identity. EEO M/F/D/V - World Leader in Gaming Entertainment - Robust benefits package - Global career opportunities Our Values - All about the Player - Talent Unleashed - Collective Brilliance - Good Business Good Citizen Travel Expectations None Additional Information At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.

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Senior Safety Architect - DRIVE SW

Negotiable

NVIDIA's Deep Learning GPUs have ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. We are growing our company and the team with the smartest people in the world. We are looking for extraordinary Software Engineers to develop and productize NVIDIA's DRIVE software. As a member of NVIDIA's Solution Engineering team, you will adapt DRIVE solutions to various car platforms equipped with different sensors. We are looking for a Senior Safety Architect with a good   grasp of Hardware and Software Architectures,   expertise   in Automotive SPICE & ISO26262 and applying   ISO26262 to safety-critical automotive components and systems. What you will be doing: - Lead the safety architecture discussions for SW components and directly   interface with   customers to support DRIVE software safety solutions. - Epitomize the DRIVE Software Functional Safety and SOTIF strategy to customers. - Collaborate with customers to draft the DIA for programs per ISO26262. - Engage with   customers to understand and   identify   the safety requirements on DRIVE software. - Continuously evolve and support requirements gathering process and traceability flow. - Actively coordinate with cross-functional engineering teams to meet customers’ safety requirements and to drive complex issues to closure. - Work with customers’ safety teams to integrate NVIDIA’s   SEooC   software components to build overall safety   case   for their products. - Participate in architectural explorations which include feasibility studies, safety   evaluations   and data analysis. - Influence NVIDIA’s DRIVE Safety Architecture & Framework evolution with inputs and recommendations into the design and architecture choices. What we need to see: - BS/MS or equivalent experience. - 10+ years of overall experience   and with   3+ years of automotive industry experience. - Sound knowledge of functional safety architecture to meet   ISO26262   standard. - Hands-on experience implementing parts 3 and 4 of ISO26262. - Strong background in embedded software development and deep knowledge of product development lifecycle. - Proficiency   with safety architectural analysis of ADAS or L2/ L3 autonomous driving stack is   preferred.. - Experience with   developing fault handling strategies and degraded modes of operation. - Effective written and verbal communication regardless of audience or issue complexity. - Proven   track record   with shipping safety systems. 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.

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ASIC Clocks Design Engineer - New College Grad 202...

$100,000 – $189,750

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can take on, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today. We are looking for an ASIC Clocks Design Engineer to join the team. Our team crafts all aspects of GPU and CPU clocking. The team collaborates with the front design team to understand the clocking requirements for the chip. The clocks team interacts with the floor-planning and back end team to help craft the physical floorplan of the chip. The team explains the programming model to the SW team to come up with an efficient clock programming sequence. The team works with the silicon solution team to triage silicon or programming bugs in the lab. What you'll be doing: - As a Clocks team member, you will be architecting the clock domain to satisfy functional, physical and testing design requirements. - Engage with multiple teams and design the GPU or CPU clocks to satisfy all the architectural/design/physical constraints. - Improve Power, Performance, and Area (PPA) of innovative NVIDIA chips by evaluating trade-offs across DFx, Physical Implementation, Power Optimization and Ease of timing closure to innovate and implement new Clocking topologies in RTL. - Collaborate with Physical design and timing team to evaluate Clocking concerns and develop solutions for supporting high speed Clocking. - Together with other team members, we deliver clock RTL information to GPU, CPU and SOC verification team, timing and DFT teams. - Get involved in end-to-end cycle of ASIC execution starting from micro-arch, design implementation, design fixes, sign-off checks and all the way to Silicon bringup. What we need to see: - Bachelor's degree or higher in Electrical Engineering (or equivalent experience). - Understanding of logic optimization techniques and PPA trade-offs. - Shown ability to collaborate with multiple teams. - Experience in RTL design (Verilog), verification and logic synthesis. - Strong coding skills in Python or other industry-standard scripting languages. Ways to stand out from the crowd: - Understanding of sub-micron silicon issues like noise, cross-talk, and OCV effects is a plus. - Implementing on-chip clocking networks is a bonus. NVIDIA is widely considered to be the leader of AI computing, and 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're creative and autonomous, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 100,000 USD - 166,750 USD for Level 1, and 116,000 USD - 189,750 USD for Level 2. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until June 7, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.

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Senior Solutions Architect, Infiniband and Network...

Negotiable

NVIDIA is looking for Senior Networking (ETH/IB) Solutions Architect to join its NVIDIA Infrastructure Specialist Team. Academic and commercial groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI/HPC systems in the world! We are looking for someone with the ability to work on a dynamic customer focused team that requires excellent interpersonal skills. This role will be interacting with customers, partners and internal teams, to analyze, define and implement large scale Networking projects. The scope of these efforts includes a combination of Networking, System Design and Automation and being the face to the customer! What you'll be doing: - Primary responsibilities will include building AI/HPC infrastructure for new and existing customers. - Support operational and reliability aspects of large-scale AI clusters, focusing on performance at scale, real-time monitoring, logging, and alerting. - Engage in and improve the whole lifecycle of services—from inception and design through deployment, operation, and refinement. - Maintain services once they are live by measuring and monitoring availability, latency, and overall system health. - Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements. What we need to see: - BS/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields. - At least 5+ years of professional experience in networking fundamentals, TCP/IP stack, and data center architecture - Proficiency in configuring, testing, validating, and resolving issues in LAN and InfiniBand networks, especially in medium to large-scale HPC/AI environments. - Advanced knowledge of EVPN, BGP, OSPF, VXLAN protocols. - Hands-on experience with network switch/router platforms like Cumulus Linux, SONiC, IOS, JunosOS, and EOS. - Extensive experience delivering automated network provisioning solutions using tools like Ansible, Salt, and Python. - Ability to develop CI/CD pipelines for network operations. - Strong focus on customer needs and satisfaction. - Self-motivated with leadership skills to work collaboratively with customers and internal teams. - Strong written, verbal, and listening skills in English are essential. Ways to stand out from the crowd: - Familiarity with cloud networks (AWS, GCP, Azure) is a plus. - Linux or Networking Certifications. - Experience with High-performance computing architectures. Understanding of how job schedulers(Slurm, PBS) work. - luster management technologies knowledge (bonus credit for BCM (Base Command Manager).) - Experience with GPU (Graphics Processing Unit) focused hardware/software.

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Senior DFT Power Methodology Engineer

Negotiable

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today. Design-for-X Engineering at NVIDIA works on groundbreaking innovations involving crafting creative solutions in AI for Chip Design and AI for Predictions in various use cases in manufacturing testing on some of the industry's most complex semiconductor chips. What you'll be doing: - As a senior member in our team, you will work on innovating in the DFT Power, Thermal & Voltage Noise Methodology areas. - This will include working on groundbreaking low power & thermal solutions for our manufacturing tests to be enabled at conditions that push the boundaries for our datacenter GPUs. - You will work with multi-functional teams including Product Development & Power Architecture, implementing brand-new methodologies on hard-to-solve problems for improving our outgoing quality of chips. - You will work on post-silicon data analysis for power to architect the next-gen solutions. - In addition, you will help develop and deploy DFT methodologies for our next generation products  using Applied ML & Gen AI solutions. - You will also help mentor junior engineers on test designs and trade-offs including cost and quality. What we need to see: - BSEE (or equivalent experience) with 12+, MSEE with 10+, or PhD with 6+ years of experience in DFT design & power - Understanding of fundamental DFT topics and VLSI areas of power, timing & voltage noise - Experience in Power Analysis, Thermal Analysis & IR Drop tools is a plus. - Experience in application of AI for EDA-related problem-solving is a plus. - Excellent knowledge in using statistical tools for data analysis & insights. - Good exposure to multi-functional areas including RTL & clocks design, STA, place-n-route and power. - Experience in Silicon debug and bring-up on the ATE or SLT platforms. - Be able to think like a programmer so that this can be translated into action using AI Coding harnesses - Outstanding written and oral communication skills with the curiosity to work on rare challenges. Ways to stand out from the crowd: - Experience in managing DFT Power Methodology for designs - Experience in post-silicon debug for thermal & IR Drop - Good understanding of technology and passionate about what you do - Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic environment NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 196,000 USD - 310,500 USD for Level 5, and 232,000 USD - 368,000 USD for Level 6. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 4, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.

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Senior Design Automation Engineer, Applied AI

Negotiable

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are seeking an Applied AI Engineer to lead end-to-end solution development — spanning data generation, model training, orchestration, and agentic automation — for timing and constraint analysis workflows. You will be part of a cross-disciplinary team building intelligent systems that learn from sign-off data, reason across flows, and assist engineers in achieving faster and more predictable closure. What You’ll be Doing: - Architect and develop AI-driven solutions for static timing, constraints quality, and closure prediction. - Integrate heterogeneous data sources — timing reports, constraint graphs, design metadata, silicon correlation — into structured knowledge bases and training pipelines. - Develop autonomous analysis agents that interact with timing tools (e.g., PrimeTime, Nanotime, Tempus) to perform multi-corner, multi-mode optimization and constraint debugging. - Implement scalable orchestration across Flow-Server and Digital Engineer platforms, enabling AI-in-loop decision-making for sign-off readiness. - Collaborate with methodology and sign-off teams to validate models on live projects, improving coverage, predictability, and engineering productivity. - Build interpretable AI pipelines using graph neural networks, large language models, and process-aware reasoning engines for timing closure recommendations. - Be responsible for the end-to-end lifecycle — from data curation and model training to deployment, monitoring, and continuous improvement in production environments. What We Need to See: - BS (or equivalent experience) in Electrical or Computer Engineering with 12+ years of experience in AI/ML solution development, ideally for EDA, semiconductor, or complex data domains - Strong background in VLSI/ASIC design — with deep understanding of timing, constraints, STA, or sign-off workflows. - Proficiency in Python, PyTorch/TensorFlow, and graph or agentic AI frameworks (e.g., LangGraph, LangChain, Ray, NetworkX). - Experience developing data pipelines, knowledge graphs, or process models for structured engineering data. - Working knowledge of timing tools (PrimeTime, Nanotime, Tempus) and scripting integration with EDA environments. - Experience with AI orchestration frameworks, reasoning based on prompts, and multi-agent automation is highly desirable. - Strong problem-solving skills, technical depth, and a mentality for experimentation and continuous learning. Ways to stand out from the crowd: - Experience with constraint validation, false-path detection, and timing-exception modeling. - Prior exposure to AI in physical design automation, Silicon/process modeling, or EDA flow automation. - Contributions to open-source AI or flow automation projects. - Publications or patents in AI for design automation or semiconductor engineering Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 196,000 USD - 310,500 USD for Level 5, and 232,000 USD - 368,000 USD for Level 6. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 4, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.

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Senior Developer Relations Manager, Digital Health...

Negotiable

We are seeking a highly technical and strategic Senior Developer Relations Manager to join NVIDIA Digital Health, with a focus on engaging researchers and AI developers across industry and academia who are building AI for digital health. In this pivotal role, you will work directly with healthcare AI developers to champion the adoption of NVIDIA’s AI and accelerated computing platforms. The ideal candidate brings a blend of deep research expertise combined with a passion for developer advocacy and a talent for communicating how NVIDIA technology can solve complex, research and real-world deployment challenges. A core initial mission will be to help drive a collaborative digital health consortium focused on industry-relevant benchmarks and synthetic evaluation recipes for digital health AI models and agents. What You'll Be Doing: - Develop and maintain deep technical expertise in digital health AI. Serve as the trusted technical advisor, problem solver, and champion for researchers and developers across the digital health ecosystem. Work with cross-functional partners to drive adoption of NVIDIA technologies. - Accelerate digital health AI research workloads by demonstrating and integrating the NVIDIA software stack, including tools, libraries, SDKs, NIMs, and blueprints, into research platforms, applications, and pipelines. - Guide partners and research collaborators through onboarding and integration by providing technical resources such as sample code, evaluation harnesses, training recipes to accelerate research and foster co-innovation. - Map and monitor the researcher ecosystem to identify growth opportunities, including healthcare AI agents, foundation models, model evaluation, synthetic data generation, post-training, inference, and deployment tooling. - Engage research leaders across academia and industry to drive best-practice integrations, resolve technical challenges, surface new workflows, and channel critical field insights back to NVIDIA product teams. - Help create open benchmark datasets, reproducible synthetic data generation pipelines, model evaluation harnesses, fine-tuning recipes, technical papers, and blogs. - Represent NVIDIA at research conferences, industry forums, hackathons, technical meetups, and partner events while supporting early access programs, product launches, go-to-market activities, and lighthouse collaborations. What We Need to See: - MS or Ph.D degree or equivalent experience in Computer Science, Machine Learning, Clinical Informatics, Computational Medicine, Data Science, Electrical Engineering, Applied Math, or a related technical field. - A minimum of 12+ years of overall professional experience in AI/ML, applied research, software engineering, developer relations, technical partnerships, product management, or solution architecture, including 5+ years of direct hands-on experience in healthcare AI, digital health, or life sciences AI. - Proven track record in leading developer programs across healthcare research organizations. - Significant technical depth in AI tools and model architectures including LLMs, VLMs, speech models, agentic workflows, pre+post-training, and inference optimization. - Experience leading research collaborations with engineering, product, and research teams, including architectural design, model evaluation, benchmark design, code reviews, technical mentorship, and delivery of technical talks or workshops. - Ability to structure and implement technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external collaborators across product, engineering, research, sales, legal, privacy, and marketing teams. - Skilled at distilling deeply technical concepts for audiences from researchers and engineers to product leaders and executives, with high empathy for developers and researchers and comfort working in a fast-paced, highly matrixed environment. Ways to Stand Out from the Crowd: - Hands-on experience building or optimizing AI solutions, such as clinical foundation models, healthcare speech systems, or digital health agents in production or research settings. - Familiarity with accelerated computing and AI platforms relevant to healthcare AI, such as NeMo, Nemotron, MONAI, Parabricks and BioNeMo. - Successful history of building and scaling developer communities and research collaborations in healthcare AI. - Expertise in building frameworks to capture developer and researcher sentiment, market shifts, and ecosystem dynamics, translating real-time signals into healthcare AI strategy and product roadmap input. - Published research, patents, standards work, public datasets, open benchmarks, or open-source contributions in healthcare AI. With competitive salaries and a generous benefits package, we are widely considered to be one of the world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 6, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.

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Engineering Manager, Agentic GenAI Platform

Negotiable

NVIDIA is seeking an Engineering Manager to lead the development of an agentic platform for observing, debugging, and optimizing GenAI models deployed at scale. In this role, you will lead a team building an agentic platform that provides visibility into model behavior, inference performance, reliability, and cost across large-scale GenAI workloads. This agentic platform will capture, correlate, and analyze logs, traces, metrics, and performance signals across large scale LLM and VLM deployments. It will help engineers understand model-serving behavior, find regressions, optimize latency and throughput, and improve the reliability of GenAI systems in production. You will work across the NVIDIA AI software stack with teams focused on inference serving, model optimization, distributed systems, GPU performance, and production operations. This is a highly cross-functional role for someone who understands deep learning systems, observability, and large-scale software platforms, and who is excited about building agentic workflows that help teams reason over complex telemetry and performance data. What You’ll Be Doing: - Lead, mentor, and grow a team building an agentic platform for monitoring and improving large-scale LLMs and VLMs in production. - Build systems that collect, correlate, and analyze telemetry across inference servers, GPUs, schedulers, model runtimes, and customer-facing APIs. - Develop agentic workflows that help engineers identify root causes, explain regressions, and recommend performance optimizations. - Collaborate with internal customers and business units to align priorities and deliver production grade platform capabilities. What We Need To See: - BSc, MS, or PhD in Computer Science, Computer Engineering, or equivalent experience. - 8+ years of relevant software engineering experience, including 3+ years in engineering management or technical leadership. - Experience leading software engineering teams building large-scale distributed systems, observability platforms, ML infrastructure, or production AI systems. - Strong understanding of LLM/VLM inference systems, deployment patterns, and production performance challenges. - Experience with logs, metrics, traces, profiling, alerting, dashboards, or incident/debugging workflows. - Strong programming, debugging, performance analysis, and test design skills. - Ability to work across organizations and align technical priorities with product and business goals. - Excellent communication and collaboration skills. Ways To Stand Out From The Crowd: - Background in GPU performance analysis, distributed inference, model serving optimization, or reliability engineering. - Experience building observability or telemetry platforms for AI, ML, cloud, or distributed infrastructure. - Experience with OpenTelemetry, Prometheus, Grafana, Jaeger, ClickHouse, Elastic, or similar observability tools. - Experience building agentic systems that reason over logs, traces, performance data, incidents, or operational workflows. - Hands-on experience with production GenAI serving systems and metrics such as TTFT, TPOT, throughput, queueing delay, GPU utilization, KV cache pressure, error rates, and cost per token. LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 3, and 272,000 USD - 431,250 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 20, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.