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Cloud & AI Solution Architect
Business Unit Cloud & Smart Industries Group (CSIG) is responsible for promoting the company's cloud and industry Internet strategy. CSIG explores the interactions between users and industries to create innovative solutions for smart industries via technological advancements such as cloud, AI, and network security. While driving the digitalization of retail, medical, education, transportation and other industries, CSIG helps companies serve users in smarter ways, building a new ecosystem of intelligent industries that connect users and businesses. What the Role Entails - Technical Consulting & Enablement: Provide professional services, including business technology consultation, cloud solution training, and technical enablement to support Tencent Cloud’s international business growth. - Solution Design & Migration: Collaborate with international architects and partners to design architecture on the Tencent Cloud platform. Guide customers and partners through system migration to the cloud, offering expertise in application and data migration, and supporting the development of applications and services on our platform. - Pre-sales & Project Coordination: Coordinate cross-functional resources from product, service, and operations teams to provide robust pre-sales technical support for key partner projects and strategic opportunities. - Ecosystem & Knowledge Development: Participate in building and structuring Tencent Cloud’s global technology partner ecosystem. Contribute by summarizing and documenting technical solutions and industry-specific use cases. Who We Look For - Education & Core Experience: A Bachelor’s degree or higher, with over 5 years of hands-on experience in public or private cloud environments, and a solid understanding of technologies and solutions from major cloud providers. - Technical Breadth: Professional experience in at least two of the following domains: Software Development (proficient in Java, Python, or similar), System Operations & Maintenance, System Integration, Solution Design, Technical Consulting, Enterprise IT Systems & Architecture Management, Big Data, or AI. - Communication & Engagement: Excellent communication and interpersonal skills, with the ability to effectively engage and build trust with customer stakeholders at all levels—from business leaders and technical decision-makers to front-line engineers. - Mindset & Approach: A strong customer-centric mindset, a rigorous and detail-oriented work ethic, and a deep sense of responsibility. You are a proven self-starter with a strong sense of ownership and a proactive attitude. - Language Skills: Fluent English is mandatory. Proficiency in a major European language (e.g. German, Spanish, Portuguese) and/or Mandarin Chinese is a significant plus. Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
Junior AI Software Engineer
About the Hiring Team Tencent Overseas IT has the mission to empower Tencent’s rapid global growth with future ready, global IT platforms, applications and services. We are chartered to lead the Overseas IT strategy, architecture, roadmap and execution. Satisfying our internal/external customers and becoming a world class global IT team are our top aspirations. What the Role Entails About the Infra and Network Tech team The team is the part of Tencent Overseas IT department and it is responsible for building and maintaining systems for internal IT and game publishing lines. About the role As an intern in SRE team, you will closely collaborate with teams across departments to build and deploy powerful systems and products that can perform previously impossible tasks and achieve unprecedented levels of performance. In this role, you will design and develop the tools & dashboards required for a variety of cutting-edge technologies and consumer projects and build flexible infrastructure and intuitive UI experiences. Besides, you will have chance to participate in researching existing software and machine learning/deep learning model, proposing improvement and industrializing the product. At last you will experience corporate IT operations and maintainance of the corporate systems and cloud-based infrastructure necessary to enable a highly connected and collaborative workforce Who We Look For Requirements: - Study computer science, data science, or a related field. - Skilled in at least one of programming languages (such as Go, Python, Java, Node.js) - Knowledge of ML frameworks, libraries, data structures, modelling. (such as Py T orch, HuggingFace libs) - Knowledge of basic networking, linux, cloud provider, container operation. (such as Ubuntu, AWS, K8S) - Excellent analytical and problem solving skills with a passion for challenging issues. - Good teamwork spirit and strong communication skills. Preferred Qualifications: - Knowledge of open sourced LLM fined-tunning, AI Infra techniques - Network , G P U a n d S e r v e r hardware enthusiasm Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
Data & AI Analytics Intern
Business Unit WeiXin Group(WXG) is responsible for the construction and operation of the Weixin ecosystem and leveraging Weixin's open platforms such as Official Accounts, Mini Programs, Weixin Pay, WeCom and search function. WXG provides solutions and connectivity for intelligent upgrades across all industries. WXG is also responsible for the development and operation of QQ Mail, WeRead and other products. What the Role Entails About WeChat With over 1.3 billion users worldwide, WeChat is shaping the future of digital communication by connecting people, services, and businesses across the globe. The WeChat operations team offers a unique opportunity to redefine how users engage with mobile technology while gaining valuable insights into global user behavior and preferences. Based in Singapore, our team is responsible for managing and expanding WeChat’s core product offerings, including messaging and social networking, for users outside the Chinese mainland. Join us in making a meaningful impact by keeping millions of people connected through one of the world's most influential digital platforms. About the Internship WeChat’s internships provide paid, full-time opportunities lasting a minimum of 12 weeks. Interns will be mentored by senior members of the WeChat operations team and work hands-on in developing new projects and product features. By the end of the internship, participants will have gained a deep understanding of WeChat’s values, independently executed data-driven projects, and collaborated effectively across multiple departments, including product, engineering, and legal teams. Why Join Us? - Gain hands-on experience with large-scale data in a leading global tech company - Work with cutting-edge technologies and experienced mentors in a dynamic environment - Be part of an impact-driven team that shapes digital communication worldwide Responsibilities - Analyze large-scale datasets to identify business opportunities, detect patterns, and optimize product performance across the platform. - Develop data dashboards and visualization tools to track key performance metrics and provide actionable product insights. - Design and build scalable data pipelines to support analytics, operational decision-making, and platform security initiatives. - Collaborate with cross-functional stakeholders (product, engineering, operations, and security teams) to translate analytical findings into business strategies and product improvements. - Leverage AI-powered tools and technologies (e.g., LLMs, AI copilots, data assistants) to enhance analysis efficiency, automate workflows, and improve decision accuracy while maintaining robust traditional data engineering and analytics practices. - Explore and integrate AI-driven methodologies to optimize analytical processes, including automated data exploration, report generation, and intelligent insight discovery. Who We Look For Requirements - Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. - Strong experience in data analytics and data engineering, including building data pipelines, statistical analysis, and data visualization. - Proficiency in SQL and Python, with experience working with large-scale data platforms (e.g., Hive, Spark, or similar big data environments). - Experience building data dashboards and reporting tools (e.g., Tableau, Power BI, Superset, or similar platforms). - Familiarity with AI-assisted data analysis tools, including prompt engineering, context engineering, and AI workflow integration. - Experience with RAG (Retrieval-Augmented Generation), AI agents, MCP frameworks, or similar AI infrastructure is a strong plus. - Strong problem-solving skills with the ability to break down complex problems into structured analytical approaches. - Excellent learning ability, curiosity for new technologies, and a strong sense of ownership and self-driven execution. Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
Multimodal Reinforcement Learning Algorithm Resear...
Business Unit Technology Engineering Group (TEG) is responsible for supporting the company and its business groups on technology and operational platforms, as well as the construction and operation of R&D management and data centers, TEG provides users with a full range of customer services. As the operator of the largest networking, devices, and data center in Asia,TEG also leads the Tencent Technology Committee in strengthening infrastructure R&D through internal and distributed open source collaboration, constructing new platforms and supporting business innovation. What the Role Entails 1.Conduct research on reinforcement learning algorithms for multimodal models, including diffusion models for image and video generation, autoregressive models for multimodal understanding, and cutting-edge unified multimodal frameworks. 2.Design and develop reinforcement learning training frameworks and reward modeling strategies to enable efficient large-scale training, improve training stability, and address issues such as reward hacking. 3.Explore next-generation reinforcement learning paradigms that enable more direct and efficient learning from environmental feedback. Who We Look For 1.Bachelor’s degree or above in Computer Science or related fields. 2.Excellent research capabilities with publications in top conferences including ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV, SIGGRAPH, etc. 3.Strong engineering and programming skills, with experience in deep learning system implementation, model training and inference optimization, CPU/GPU acceleration, and distributed training and inference. 4.Preference given to candidates with experience in diffusion models, autoregressive models, text-to-image / text-to-video generation. 5.Preference given to candidates with participation experience in ACM/NOIP (Informatics Olympiad). Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
Research Intern — Coding LLMs
Business Unit Technology Engineering Group (TEG) is responsible for supporting the company and its business groups on technology and operational platforms, as well as the construction and operation of R&D management and data centers, TEG provides users with a full range of customer services. As the operator of the largest networking, devices, and data center in Asia,TEG also leads the Tencent Technology Committee in strengthening infrastructure R&D through internal and distributed open source collaboration, constructing new platforms and supporting business innovation. What the Role Entails We are looking for research interns to work on foundational areas for coding language models, including pre-training data, mid-training data, synthetic data generation, evaluation, and agentic coding. Responsibilities * Explore data-centric methods for improving coding LLMs, including data filtering, quality assessment, deduplication, data mixture, and diversity analysis. * Build synthetic data and evaluation pipelines for code generation, code editing, repo-level reasoning, tool use, and multi-step coding tasks. * Run experiments to analyze how data, model, and training strategies affect coding capabilities. * Work with large-scale code corpora, developer activity data, and agentic coding trajectories. Who We Look For * Strong programming skills in Python. * Solid understanding of machine learning and large language models. * Familiarity with LLM pre-training, mid-training, code models, data curation, evaluation, agents, or tool use. * Strong experiment design, data analysis, and problem-solving skills. * Interest in code intelligence, software engineering automation, and agentic coding. Preferred Qualifications * Experience with code data processing, GitHub-scale data, synthetic data, LLM evaluation, semantic deduplication, or agentic coding. * Research experience, publications, or open-source projects in related areas are a plus. What We Offer * Access to large-scale real-world coding data and agentic trajectories. * Rich compute resources and model APIs for fast research iteration. * Opportunities to work on real-world coding model applications and the full model development loop. Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
Data Scientist Intern
Business Unit LIGHTSPEED STUDIOS is made up of passionate players who advance the art & science of game development through great stories, great gameplay, and advanced technology. We are focused on bringing next generation experiences to gamers who want to enjoy them anywhere, anytime, across multiple genres and devices. About the Hiring Team Lightspeed Tech Center is a R&D department under Lightspeed Studios which develop PUBG Mobile and other high-quality games. Our Tech Center leads the research, exploration, and discovery of innovative technologies and provides technical services for all games during all phases of life cycle, including engine, audio, QA, AI, next generation game, technical cooperation, etc. What the Role Entails - Research on state-of-the-art machine learning, deep learning, social-network data mining and recommendation algorithms with game data, help design, evaluate and improve the core algorithm and strategy for online AI serving. - Response for in-depth statistical analysis from large-scale data, mining for user behavior and attributes, building user portraits. - Conduct sentiment analysis, topic modeling and summarization on massive user comments. - Identify user pain points through massive data and proposing strategies improving user retention. - Improving data analysis pipelines, combining business requirements and data, by using distributed computation platform, develop efficient and reliable data mining solutions. - Research on AI agents for upgrading existing working pipeline. Who We Look For - A strong understanding of statistical models, related machine learning principles, and experience working on data mining related projects. - Familiar with machine learning, deep learning and recommendation algorithms such as clustering and classification, grasping and having deep understanding in at least one of them. - Strong self-driven ability, team cooperation ability, anti-pressure ability and studious candidates is preferred. - Proficient in at least one programming language, familiar with basic data structures and algorithms. Preferred: - Candidates with research experience such as academic publications. - Candidates with NLP experience such as sentiment analysis, text summary, LLM fine-tune, AI agents. - Candidates familiar with causal inference or optimization algorithms. - Candidates having big data experience, and familiar with distributed computation framework such as Hadoop, spark, hive and etc. - Candidates with strong logical thinking ability, communication ability and business understanding, and familiar with game situations. Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
Research Intern – Video World Models (Research & M...
Business Unit What the Role Entails About the Position We are seeking an exceptional Research Intern to join our core team in building the next generation of interactive Video World Models. While traditional generative AI focuses on generating passive pixels (e.g., text-to-video), our mission is fundamentally more ambitious: we are building foundational "World Models" that inherently understand physics, causality, action spaces, and complex dynamics directly from internet-scale data. Our goal is to train models that can simulate and "dream" complex virtual worlds, allowing users and agents to explore and interact with them in real time. This is not a purely theoretical role. Training interactive world models at this scale requires pushing the limits of modern computing power. We operate at the intersection of cutting-edge generative AI research and high-performance machine learning systems. We are looking for "full-stack" hacker-researchers—visionary thinkers who are also elite engineers, capable of co-designing novel neural architectures and engineering the highly optimized infrastructure required to train them across large-scale computing cluster. What You Will Do - Architect & Scale Foundation Models: Design, train, and scale state-of-the-art interactive world models (combining Diffusion, Autoregressive Transformers , VAEs, LLMs, VLMs) on massive video datasets. - Push the Boundaries of ML Systems: Architect highly scalable distributed training pipelines, utilizing advanced model and data parallelism to train massive models efficiently on large-scale computing cluters . - Optimize for Efficiency: Profile and optimize model architectures to break through memory and compute bottlenecks. Write high-performance, custom hardware kernels to maximize Model FLOPs Utilization (MFU) and enable real-time, low-latency inference. Who We Look For Requirements - Academic Excellence: Currently pursuing a PhD (or Master’s degree with a truly exceptional research/engineering track record) in Computer Science, Machine Learning, Computer Architecture, or a related field. - Engineering Skills: Exceptional, production-level coding proficiency in Python or other languages. Background in competitive programming is a great plus. - AI Infrastructure & Scaling: Experience with modern AI infrastructure stack and large-scale machine learning systems, such as PyTorch FSDP, Megatron, etc. Experience with GPU kernels using CUDA and/or Triton is a great plus. - Deep Generative Expertise: Thorough theoretical and practical understanding of modern generative paradigms (Diffusion, Vision Transformers, Autoregressive sequence modeling, discrete tokenization/VAEs). - Top-Tier Publication Record: First-author publications in top-tier AI venues (NeurIPS, ICLR, ICML, CVPR, ICCV) OR premier ML Systems venues (MLSys, OSDI, ASPLOS). Location State(s) US-California-Palo Alto The expected base pay range for this position in the location(s) listed above is $80,168.40 to $124,800.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. This position will be eligible for 1 hour of paid sick leave for every 30 hours worked and up to 13 paid holidays throughout the calendar year. Subject to the terms and conditions of the applicable plans then in effect, full-time interns are also eligible to enroll in the Company-sponsored medical plan. Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
Senior Researcher, Speech Synthesis and Multimodal...
Business Unit LIGHTSPEED STUDIOS is made up of passionate players who advance the art & science of game development through great stories, great gameplay, and advanced technology. We are focused on bringing next generation experiences to gamers who want to enjoy them anywhere, anytime, across multiple genres and devices. About the Hiring Team Lightspeed Tech Center is a R&D department under Lightspeed Studios which develop PUBG Mobile and other high-quality games. Our Tech Center leads the research, exploration, and discovery of innovative technologies and provides technical services for all games during all phases of life cycle, including engine, audio, QA, AI, next generation game, technical cooperation, etc. What the Role Entails - Research and develop advanced speech synthesis and generation algorithms (e.g., TTS, voice conversion, sound/music generation) based on LLMs, multimodal/omnimodal LLMs. - Develop and optimize speech and audio synthesis systems for online applications, improving effectiveness, efficiency, and scalability. - Explore and advance full-duplex/streaming multimodal LLM capabilities in speech understanding, generation, and real-time spoken interaction. - Collaborate cross-functionally with research and engineering teams from prototyping to production. Who We Look For - Ph.D. in Computer Science, Electrical Engineering, Signal Processing, or a closely related field. - Strong foundation in speech/audio processing and modern generative models (e.g., diffusion, flow matching, autoregressive, codec-based approaches). - Hands-on experience extending LLMs to speech/audio modalities (e.g., speech tokenizers, multimodal adapters, speech-text joint training). Experience with full-duplex or streaming spoken dialogue systems and real-time interaction modeling is a plus. - Proficient in Python and deep learning frameworks (e.g., PyTorch); experience with distributed training is a plus. - Track record of publications at top-tier venues (e.g., ICML, NeurIPS, ICLR, ACL, ICASSP, Interspeech). Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
Tencent Cloud - AI Native Cloud Solution Architect...
Business Unit Cloud & Smart Industries Group (CSIG) is responsible for promoting the company's cloud and industry Internet strategy. CSIG explores the interactions between users and industries to create innovative solutions for smart industries via technological advancements such as cloud, AI, and network security. While driving the digitalization of retail, medical, education, transportation and other industries, CSIG helps companies serve users in smarter ways, building a new ecosystem of intelligent industries that connect users and businesses. What the Role Entails As a Senior Solution Architect at Tencent Cloud in Indonesia, you will play a pivotal role in driving the adoption and success of Tencent Cloud services in the region. This position requires a blend of technical acumen, customer-facing skills, and strategic thinking. You will work closely with clients and partners to understand their needs, develop tailored cloud solutions, and ensure successful implementation. Your expertise will contribute to shaping Tencent Cloud’s product offerings and go-to-market strategies, making a significant impact on the business landscape in Indonesia. What You Can Do Here 1. Accelerate your growth with an international perspective, engage with top-tier Southeast Asia customers, and deeply participate in the most cutting-edge AI needs of the Southeast Asia market and the continuously evolving cloud industry solutions. 2. Master the latest cloud product capabilities in a full-stack manner — across IaaS, AI, audio/video, security and other product lines. Through project co-building with Southeast Asia customers, continuously improve human-AI collaboration capability and customer project success efficiency. 3. Work closely with a diverse, excellent team in Southeast Asia, and jointly embark on a rapidly changing high-growth journey. - Serve as the customer's technical consulting expert. Lead Tencent Cloud pre-sales analysis, bidding document authoring, and customer solution communication, and strive to obtain support from the customer's technical decision-making level. - Deeply explore and follow up on the landing of customer needs. Combined with Tencent Cloud public cloud, private cloud, container, big data, audio/video, AI and other product capabilities, design technical solutions for Indonesia SVIP customers and follow up on delivery, continuously strengthening differentiated competitive advantages. - Possess an AI-Native perspective, be proficient in Tencent Cloud AI product knowledge and effectively promote it. Use AI capabilities to complete project POCs and demos, accelerate migration and delivery, and monitor SVIP customer business quality. - Promote scaled business growth in key markets. On a daily basis, collect real feedback and industry common needs from Indonesia customers, and drive continuous iteration and optimization of cloud products and AI tools. Who We Look For - Bachelor's degree or above; majors in computer science, information technology, telecommunications engineering and other related fields are preferred. - 5+ years of experience in cloud computing pre-sales or solution-related work, covering pre-sales research, bidding document authoring, POC implementation, delivery acceptance, and other project phases. - Familiar with mainstream public cloud platforms, such as Tencent Cloud, Alibaba Cloud, AWS, Azure, GCP, etc. Have experience using AI technology to assist and drive projects; familiar with at least one AI Agent application and have effectively applied it in work. - Extremely strong pressure resistance and resilience. Proactively tackle project technical risks and AI implementation challenges, with no shirking or escaping. Take real business results as the sole orientation, and refuse to stay only at paper-level solutions. - Excellent cross-cultural communication and collaboration ability; fluent English with no barriers to business communication; adapt to the collaboration rhythm of multi-country teams. Thai language proficiency is preferred. - Strong proactive collaboration awareness; willing to undertake cross-department collaborative work, with no division of work boundaries, and project success as the core goal. Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
AI Product Manager Intern
About the Hiring Team Level Infinite is Tencent’s global gaming brand. It is a global game publisher offering a comprehensive network of services for games, development teams, and studios around the world. We are dedicated to delivering engaging and original gaming experiences to a worldwide audience, whenever and wherever they choose to play while building a community that fosters inclusivity, connection, and accessibility. Level Infinite also provides a wide range of services and resources to our network of developers and partner studios around the world to help them unlock the true potential of their games. What the Role Entails Key Responsibilities 1. Product Research & Analysis: Conduct market research on AI trends, competitors, and emerging technologies. Collect and analyze user insights to identify opportunities for AI-driven improvements. Help evaluate product data to support decision-making. 2. Requirements & Documentation: Support writing product requirements, user stories, and acceptance criteria. Assist in maintaining product roadmaps, backlogs, and feature documentation. Help prepare design and workflow specifications for new AI features. 3. Collaboration With AI/Engineering Teams : Work with data scientists to understand model capabilities, constraints, and data needs. Support experimentation (A/B tests, model evaluations, user testing). Participate in sprint planning, stand-ups, and feature reviews. 4. Product Execution & QA: Help coordinate feature development and track progress. Support QA testing of AI models and features before release. Collect feedback and analyze early product performance after launch. 5. Cross-Team Communication: Prepare presentations and reports for internal stakeholders. Help communicate feature updates, metrics, and insights to the broader team. Who We Look For Qualifications Required - Studying Computer Science, Engineering, Data Science, Business, or related fields. - Strong interest in AI, machine learning, and product management. - Excellent communication and analytical skills. - Ability to work collaboratively in cross-functional teams. - Basic understanding of how AI/ML models work (concepts like training data, accuracy, evaluation). Preferred - Experience with Python, data analysis, or ML coursework. - Familiarity with LLMs, generative AI, or NLP tools. - Experience with user research, design tools, or project management tools (e.g., Jira, Notion, Figma). - Proficient in both English and Chinese will be a plus. Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
Software Engineer, AI Agents
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Software Engineer, AI Agents Location: India, Bangalore Exp: 5 - 10yrs Why This Role Matters At Cloudflare, we're building industrial-scale AI agents that support customers directly. This isn't research theater. Your code will power real customer interactions from day one, at global scale. Cloudflare already has the parts. You will assemble Workers, Durable Objects, KV, R2, D1, Vectorize, Workers AI, AI Gateway, and the Agent SDK into real agents customers use every day. Role Intent Ship production agents on the Cloudflare stack. Build, deploy, learn, repeat. Your code is the front door for Cloudflare customers. What You Will Do - Build agents on Workers with Durable Objects for state and short term memory - Wire tools with the Agent SDK, MCP, and function calling - Use Vectorize, KV, R2, and D1 for semantic memory, cache, files, and config - Run models through Workers AI and AI Gateway; integrate third parties when needed - Create evals, guardrails, and audits. Measure, tune, re-ship fast - Build agents that summarize, propose fixes, and escalate cleanly to humans - Expose agent health and metrics in transparent dashboards. No mystery boxes - Integrate with queues and webhooks; publish events on Queues or Pub/Sub - Cut cost per case and time to first response. Prove it with data. - Take end to end ownership including on call for what you ship (with team support) - Design and maintain robust observability for distributed AI workflows, implementing structured logging and end-to-end tracing across async service boundaries to ensure visibility into agent reasoning and execution. - Architect security boundaries for agent-led operations; implementing secure credential handling, multi-l
Senior Researcher, Speech Synthesis and Multimodal...
Business Unit LIGHTSPEED STUDIOS is made up of passionate players who advance the art & science of game development through great stories, great gameplay, and advanced technology. We are focused on bringing next generation experiences to gamers who want to enjoy them anywhere, anytime, across multiple genres and devices. About the Hiring Team Lightspeed Tech Center is a R&D department under Lightspeed Studios which develop PUBG Mobile and other high-quality games. Our Tech Center leads the research, exploration, and discovery of innovative technologies and provides technical services for all games during all phases of life cycle, including engine, audio, QA, AI, next generation game, technical cooperation, etc. What the Role Entails 1. Research and develop advanced speech synthesis and generation algorithms (e.g., TTS, voice conversion, sound/music generation) based on LLMs, multimodal/omnimodal LLMs. 2. Develop and optimize speech and audio synthesis systems for online applications, improving effectiveness, efficiency, and scalability. 3. Explore and advance full-duplex/streaming multimodal LLM capabilities in speech understanding, generation, and real-time spoken interaction. 4. Collaborate cross-functionally with research and engineering teams from prototyping to production. Who We Look For 1. Ph.D. in Computer Science, Electrical Engineering, Signal Processing, or a closely related field. 2. Strong foundation in speech/audio processing and modern generative models (e.g., diffusion, flow matching, autoregressive, codec-based approaches). 3. Hands-on experience extending LLMs to speech/audio modalities (e.g., speech tokenizers, multimodal adapters, speech-text joint training). Experience with full-duplex or streaming spoken dialogue systems and real-time interaction modeling is a plus. 4. Proficient in Python and deep learning frameworks (e.g., PyTorch); experience with distributed training is a plus. 5. Track record of publications at top-tier venues (e.g., ICML, NeurIPS, ICLR, ACL, ICASSP, Interspeech). Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
Models Deployment Engineer, AI Platform
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations - Austin, US About the Role Emerging Technologies & Incubation (ETI) is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a massively successful business, we are able to leverage them to deliver entirely new tools and products to our customers. Cloudflare’s edge and network make it possible to solve problems at massive scale and efficiency which would be impossible for almost any other organization. As a Models Engineer at Cloudflare, you will be the technical heartbeat of our AI community, bridging the gap between cutting-edge models and the developers building on our platform. You'll work directly with model creators and research teams to bring new models to Cloudflare, while simultaneously educating and inspiring our global developer base. We're looking for someone who can navigate a technical partnership call in the morning and debug a developer's issue on Discord in the afternoon. Responsibilities - Model Partnerships & Integration: Identify and evaluate promising new models. Work directly with external model teams — research labs, open-source maintainers, and partner organizations — to bring their work to Cloudflare. Serve as the technical point of contact through integration and launch. - Technical Content & Education: Author tutorials, technical blog posts, and documentation that help developers understand and adopt our AI offerings. Make complex concepts accessible. - Community Engagement & Support: Actively participate in developer communities like Discord. Provide technical support, gather feedback, and build relationships with developers and contributors. - Engineering & Prototyping: Build demos, sample applications, and reference implementations that showcase what's possible with Cloudflare's AI infrastructure. - Internal Product Advocacy:</strong&
Tencent Cloud - AI Native Cloud Solution Architect...
Business Unit Cloud & Smart Industries Group (CSIG) is responsible for promoting the company's cloud and industry Internet strategy. CSIG explores the interactions between users and industries to create innovative solutions for smart industries via technological advancements such as cloud, AI, and network security. While driving the digitalization of retail, medical, education, transportation and other industries, CSIG helps companies serve users in smarter ways, building a new ecosystem of intelligent industries that connect users and businesses. What the Role Entails As a Senior Solution Architect at Tencent Cloud in Thailand, you will play a pivotal role in driving the adoption and success of Tencent Cloud services in the region. This position requires a blend of technical acumen, customer-facing skills, and strategic thinking. You will work closely with clients and partners to understand their needs, develop tailored cloud solutions, and ensure successful implementation. Your expertise will contribute to shaping Tencent Cloud’s product offerings and go-to-market strategies, making a significant impact on the business landscape in Thailand. What You Can Do Here 1. Accelerate your growth with an international perspective, engage with top-tier Southeast Asia customers, and deeply participate in the most cutting-edge AI needs of the Southeast Asia market and the continuously evolving cloud industry solutions. 2. Master the latest cloud product capabilities in a full-stack manner — across IaaS, AI, audio/video, security and other product lines. Through project co-building with Southeast Asia customers, continuously improve human-AI collaboration capability and customer project success efficiency. 3. Work closely with a diverse, excellent team in Southeast Asia, and jointly embark on a rapidly changing high-growth journey. - Serve as the customer's technical consulting expert. Lead Tencent Cloud pre-sales analysis, bidding document authoring, and customer solution communication, and strive to obtain support from the customer's technical decision-making level. - Deeply explore and follow up on the landing of customer needs. Combined with Tencent Cloud public cloud, private cloud, container, big data, audio/video, AI and other product capabilities, design technical solutions for Thailand SVIP customers and follow up on delivery, continuously strengthening differentiated competitive advantages. - Possess an AI-Native perspective, be proficient in Tencent Cloud AI product knowledge and effectively promote it. Use AI capabilities to complete project POCs and demos, accelerate migration and delivery, and monitor SVIP customer business quality. - Promote scaled business growth in key markets. On a daily basis, collect real feedback and industry common needs from Thailand customers, and drive continuous iteration and optimization of cloud products and AI tools. Who We Look For - Bachelor's degree or above; majors in computer science, information technology, telecommunications engineering and other related fields are preferred. - 5+ years of experience in cloud computing pre-sales or solution-related work, covering pre-sales research, bidding document authoring, POC implementation, delivery acceptance, and other project phases. - Familiar with mainstream public cloud platforms, such as Tencent Cloud, Alibaba Cloud, AWS, Azure, GCP, etc. Have experience using AI technology to assist and drive projects; familiar with at least one AI Agent application and have effectively applied it in work. - Extremely strong pressure resistance and resilience. Proactively tackle project technical risks and AI implementation challenges, with no shirking or escaping. Take real business results as the sole orientation, and refuse to stay only at paper-level solutions. - Excellent cross-cultural communication and collaboration ability; fluent English with no barriers to business communication; adapt to the collaboration rhythm of multi-country teams. Thai language proficiency is preferred. - Strong proactive collaboration awareness; willing to undertake cross-department collaborative work, with no division of work boundaries, and project success as the core goal. Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
WXG - Data Scientist Intern (Safety Strategies)
Business Unit WeiXin Group(WXG) is responsible for the construction and operation of the Weixin ecosystem and leveraging Weixin's open platforms such as Official Accounts, Mini Programs, Weixin Pay, WeCom and search function. WXG provides solutions and connectivity for intelligent upgrades across all industries. WXG is also responsible for the development and operation of QQ Mail, WeRead and other products. What the Role Entails - Participate in designing safe processes and managing safety rules to ensure account safety while improving the safety experience - Analyse behavioural trends to identify malicious activities and detect anomalies in the WeChat ecosystem via data analysis and machine learning - Devise appropriate strategies to track fraudulent accounts and protect users from spam or fraudulent activity - Deploy and maintain machine learned models to help detect malicious accounts Who We Look For - Currently pursuing an undergraduate or graduate degree in Computer Science, Data Science, Computer Engineering, or a related field - Ability to communicate complex ideas to non-technical stakeholders in a way they can easily understand and appreciate. - Experience on building machine learning or deep learning solutions - Good knowledge of Python programming language, C/C++/Go programming language is preferred - Self-driven, innovative, collaborative, with good communication and presentation skills, able to translate between business and technical audiences Proficiency in English and Mandarin is required as this role involves regular collaboration with regional teams and Mandarin-speaking stakeholders, including counterparts based in China Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
Manager I, Engineering - Applied AI/ML Product Ana...
Datadog’s Product Analytics suite spans Product Analytics, Session Replay, Feature Flags, and Experimentation. Together they give product teams a complete, quantitative and qualitative picture of how users experience their applications, plus the tools to release, measure, and improve those experiences with confidence. Our team of Applied Scientists makes this space smarter and more autonomous, researching, prototyping, and industrializing AI/ML capabilities that make the suite proactive and agentic by default: AI-driven event understanding and instrumentation, conversational analytics, automated insight reporting, and UI/UX issue detection from session replays. The ambition is to let product teams act with autonomy, moving from question to insight to safely released change without depending on engineering or analysts. As the Engineering Manager for this team, you’ll lead a team of Applied Scientists through an early-stage, high-impact opportunity: defining the team’s technical vision, growing its footprint, and shaping how AI capabilities get built and delivered across the suite. This is greenfield work, both in the R&D itself and in the team you’ll grow around it. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: - Lead and grow a team of Applied Scientists researching, prototyping, and industrializing AI/ML capabilities across the suite - Define the technical vision and roadmap for the suite’s agentic and proactive AI/ML capabilities: event understanding, conversational analytics, insight reporting, and session-replay issue detection - Stay hands-on as a technical contributor and reviewer, helping the team move from research prototypes to production-grade capabilities - Shape how AI capabilities get built and delivered across the suite, partnering closely with product and engineering leadership - Hire and onboard Applied Scientists as Datadog scales its investment in applied AI/ML - Represent the team’s progress and priorities to stakeholders across Product Analytics and Datadog’s broader AI efforts Who You Are: - An experienced technical leader with a background in applied AI/ML, ideally with hands-on research or applied science experience of your own - A people manager, whether established or early in your management journey, backed by strong technical credibility - Comfortable operating in greenfield ambiguity: defining direction and structure where little exists yet, rather than executing against an established roadmap - Experience taking ML/AI capabilities from research prototype to production, ideally in an analytics, NLP, or user-behavior domain - A clear communicator who can translate technical AI/ML concepts for product and engineering stakeholders - Motivated by early-stage, high-impact work and comfortable with the ambiguity that comes with it Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: - New hire stock equity (RSUs) and employee stock purchase plan (ESPP) - Continuous professional development, product training, a
Tencent Cloud- Senior Strategic Sales Executive (G...
Business Unit Cloud & Smart Industries Group (CSIG) is responsible for promoting the company's cloud and industry Internet strategy. CSIG explores the interactions between users and industries to create innovative solutions for smart industries via technological advancements such as cloud, AI, and network security. While driving the digitalization of retail, medical, education, transportation and other industries, CSIG helps companies serve users in smarter ways, building a new ecosystem of intelligent industries that connect users and businesses. What the Role Entails - Identify, prospect, and develop strategic enterprise opportunities for Tencent Cloud’s AI and cloud solutions within the Singapore and SouthEast Asian market. - Build and manage executive-level relationships with customers, AI native companies, digital-native companies, ISVs, and enterprise organizations adopting Generative AI technologies. - Drive the sales of AI infrastructure, large language model (LLM) services, AI platforms, Model-as-a-Service (MaaS), API/token-based AI services, cloud infrastructure, and related SaaS offerings. - Lead the entire enterprise sales cycle, from prospecting and solution positioning to commercial negotiations, contract execution, and successful deal closure. - Partner closely with Solution Architects, AI specialists, Product teams, and Business Contracts Managers to design customer-centric AI and cloud solutions. - Develop strategic account plans, pipeline forecasts, territory plans, and executive business reviews to consistently exceed revenue targets. - Understand customers’ AI transformation initiatives and recommend appropriate Tencent Cloud AI capabilities, including LLMs APIs, model hosting, AI agents, AI tools and AI development platforms. - Analyze industry trends, competitive landscape, and emerging AI use cases to identify new business opportunities and develop go-to-market strategies. - Collaborate with internal cross-functional teams to maximize customer success, expansion opportunities, and long-term account growth. Who We Look For - Bachelor’s degree in Computer Science, Engineering, Information Technology, Business, or a related discipline. - Minimum 5 years of enterprise technology sales experience, with at least 2 years selling AI products, Generative AI platforms, LLM APIs, AI infrastructure, cloud services, GPU computing, ML platforms, SaaS, or developer platforms. - Demonstrated experience selling AI solutions such as LLM APIs, token-based AI services, inference platforms, AI agents, MLOps platforms, AI developer tools, or cloud AI infrastructure is highly preferred. - Strong understanding of the AI ecosystem, including Large Language Models (LLMs), foundation models, prompt engineering, AI inference, embeddings, AI agents, API consumption, and token-based commercial models. - Proven track record of acquiring new enterprise customers (“hunter” mindset) while expanding strategic accounts and consistently exceeding sales targets. - Experience engaging C-level executives, technology leaders, AI teams, and business decision-makers, with a history of closing complex, high-value enterprise deals. - Strong consultative selling skills with the ability to translate complex AI and cloud technologies into measurable business outcomes. - Experience working with AI startups, digital-native companies, ISVs, SaaS vendors, or enterprise AI transformation projects is a strong advantage. - Excellent written and spoken English is required. Proficiency in Chinese Mandarin is required as approximately 50% of the role involves collaborating with China headquarters on business discussions, meetings, and documentation. - Excellent analytical, negotiation, communication, and stakeholder management skills. Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
Tencent Cloud- Senior Strategic Sales Executive (G...
Business Unit Cloud & Smart Industries Group (CSIG) is responsible for promoting the company's cloud and industry Internet strategy. CSIG explores the interactions between users and industries to create innovative solutions for smart industries via technological advancements such as cloud, AI, and network security. While driving the digitalization of retail, medical, education, transportation and other industries, CSIG helps companies serve users in smarter ways, building a new ecosystem of intelligent industries that connect users and businesses. What the Role Entails - Identify, prospect, and develop strategic enterprise opportunities for Tencent Cloud’s AI and cloud solutions within the Singapore and SouthEast Asian market. - Build and manage executive-level relationships with customers, AI native companies, digital-native companies, ISVs, and enterprise organizations adopting Generative AI technologies. - Drive the sales of AI infrastructure, large language model (LLM) services, AI platforms, Model-as-a-Service (MaaS), API/token-based AI services, cloud infrastructure, and related SaaS offerings. - Lead the entire enterprise sales cycle, from prospecting and solution positioning to commercial negotiations, contract execution, and successful deal closure. - Partner closely with Solution Architects, AI specialists, Product teams, and Business Contracts Managers to design customer-centric AI and cloud solutions. - Develop strategic account plans, pipeline forecasts, territory plans, and executive business reviews to consistently exceed revenue targets. - Understand customers’ AI transformation initiatives and recommend appropriate Tencent Cloud AI capabilities, including LLMs APIs, model hosting, AI agents, AI tools and AI development platforms. - Analyze industry trends, competitive landscape, and emerging AI use cases to identify new business opportunities and develop go-to-market strategies. - Collaborate with internal cross-functional teams to maximize customer success, expansion opportunities, and long-term account growth. Who We Look For - Bachelor’s degree in Computer Science, Engineering, Information Technology, Business, or a related discipline. - Minimum 5 years of enterprise technology sales experience, with at least 2 years selling AI products, Generative AI platforms, LLM APIs, AI infrastructure, cloud services, GPU computing, ML platforms, SaaS, or developer platforms. - Demonstrated experience selling AI solutions such as LLM APIs, token-based AI services, inference platforms, AI agents, MLOps platforms, AI developer tools, or cloud AI infrastructure is highly preferred. - Strong understanding of the AI ecosystem, including Large Language Models (LLMs), foundation models, prompt engineering, AI inference, embeddings, AI agents, API consumption, and token-based commercial models. - Proven track record of acquiring new enterprise customers (“hunter” mindset) while expanding strategic accounts and consistently exceeding sales targets. - Experience engaging C-level executives, technology leaders, AI teams, and business decision-makers, with a history of closing complex, high-value enterprise deals. - Strong consultative selling skills with the ability to translate complex AI and cloud technologies into measurable business outcomes. - Experience working with AI startups, digital-native companies, ISVs, SaaS vendors, or enterprise AI transformation projects is a strong advantage. - Excellent written and spoken English is required. Proficiency in Chinese Mandarin is required as approximately 50% of the role involves collaborating with China headquarters on business discussions, meetings, and documentation. - Excellent analytical, negotiation, communication, and stakeholder management skills. Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
Software Engineer - Edge AI
This is an exciting opportunity for a software engineer passionate about open source software, Linux, edge computing, and AI. Come build a rewarding, meaningful career working with the best and brightest people in technology at Canonical, a growing international software company. Your role will be to help us provide easy-to-deploy, secure, and customizable edge AI solutions, specifically focusing on Inference Snaps. You will work on designing and implementing silicon-optimized application packages for AI/ML inference, targeting devices from embedded systems to powerful gateways. Linux will be at the core of your everyday challenges. In our team we value collaboration, peer reviews, good integration/unit testing, and writing maintainable code. General knowledge and experience with Linux as a developer platform is required. What you’ll do - Collaborate proactively with a distributed team - Develop and maintain open-source AI/ML inference application packages - Debug issues and produce high-quality code to fix them - Review code produced by upstream and/or other engineers at Canonical - Discuss ideas and collaborate on finding good solutions - Experiment with Ubuntu Core and showcase industry-grade Edge AI solutions - Secure deployment of AI inference platforms on Linux - Build optimized AI solutions for local inferencing on Ubuntu - Work from home with global travel 2 to 4 weeks for internal and external events Who you are - Proven track record of at least 3 years of professional software development using Go or C++. - Experience working on and developing applications for Linux - You have interest and experience with a few of the following: - Containers (docker, kubernetes) - Snap, debian, or RPM packaging - Bash scripting - CI/CD (GitHub Actions, GitLab CI, etc) - Local AI/ML inference frameworks - Hardware accelerators: GPU, NPU - You value soft skills, communication and advocacy, and are passionate, enterprising, thoughtful, and self-motivated - You have a Bachelor’s or equivalent in Computer Science, STEM or similar degree Canonical is a growing international software company that works with the open-source community to deliver Ubuntu, the world’s best free software platform. Our services help businesses worldwide reduce costs, improve efficiency and enhance security with Ubuntu. We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity , we will give your application fair consideration. LI-remote
【Cygames AI Studio】潜在拡散モデルエンジニア
会社概要 ビジョン 最高のコンテンツを 最高のAIで支える会社 メッセージ Cygamesは「最高のコンテンツを作る会社」をビジョンに掲げ、妥協のないものづくりに励んできました。 その“ものづくり”精神を受け継いで生まれた Cygames AI Studio は、 AIを安心・安全に、かつ効率的に活用するための技術と仕組みを提供し、 クリエイターの挑戦を支え、新しい体験によってゲーム業界を前進させるスタジオです。 エンターテイメント産業における最高のAI研究・実装・運用組織を目指して、クリエイターが最高のコンテンツを世の中に届け続けられる環境を、新たなAIの力で実現してまいります。 仕事内容 Cygames AI Studioではゲームやアニメーション等のエンターテイメント用途に特化した潜在拡散モデル（LDM）を中心とした基盤モデルの開発を進めています。 このポジションでは、自社データのみを用いた学習でも「制作現場で本当に使える」品質に到達させるために、学習（事前学習／継続事前学習／指示学習）から評価、推論最適化、プロダクトへの組み込みまでをリードしていただきます。 エンタメ領域の制作・運用要件（品質、表現、ワークフロー、権利、セキュリティ）を踏まえ、LDMの学習戦略設計と実装を担当します。 具体的には、自社が権利を保有する画像・動画データの収集・整形・フィルタリングとデータガバナンス設計、継続事前学習を推進します。 また、評価基盤の整備（自動評価＋人手評価、品質指標の可視化）と、推論の実運用最適化（量子化、蒸留、ターゲット環境へのデプロイ）を担います。 特にコンテンツ制作におけるイテレーションを支援するためには低遅延の生成が求められ、LDMをクリエイターが使用するデバイスへの展開することを前提に、量子化等を含む最適化が重要になり、モデルサイズの選定や展開容易性も設計範囲に含めます。 【職種 / 募集ポジション】 【Cygames AI Studio】潜在拡散モデルエンジニア 【雇用形態】 正社員 【給与】 応相談 〜 ◆株式会社Cygames AI Studio雇用になります。 ※Cygamesからの出向ではございません。 ◆経験・能力を考慮の上、当社規定により決定します。 ※契約社員、業務委託契約の場合もございます。 ◆年俸には、所定の時間外勤務手当・深夜勤務手当を含む。時間外勤務の有無に関わらず支給する 【勤務地】 150-0036 東京都渋谷区南平台町16番17号 住友不動産渋谷ガーデンタワー 住友不動産渋谷ガーデンタワー：屋内原則禁煙（加熱式たばこ専用喫煙室あり） 【就業時間】 10:00~19:00（所定労働時間8時間） 休憩時間 60分（13:00~14:00） 【必須条件】 ソフトウェアエンジニアリングの実務経験（設計・実装・テスト・運用）を持ち、プロダクト品質を意識して機械学習システムを運用できることが求められます。 モデルの学習・評価・デプロイ・データ処理・デバッグ・ファインチューニングといった一連の工程を、設計観点と運用観点の両方から最適化できることが求められます。 さらに、深層学習（PyTorch、JAX等）を用いた学習実装能力、再現性のある実験設計（ログ、設定管理、検証可能な比較）、品質を落とさずにコスト／レイテンシ制約へ落とし込む姿勢（例：量子化や軽量化を前提とした設計）を求めます。 自社が権利を保有するデータを用いた学習では単にスケール則にそった拡大戦略で解決できない局面が多いため、制約下の最適解を作る力を重視します。 【歓迎条件】 Diffusers等の潜在拡散フレームワークを用いた事前学習経験、安全性評価・コンテンツ安全（trust & safety）に関する実務経験。 大規模な学習基盤や分散学習、学習効率化（例：LoRA等のPEFT）に加え、モデルマージ等のモデル制御に明るい方を歓迎します。 拡散モデルの量子化・蒸留、デバイス別最適化や、エッジ／オンデバイス展開、低メモリ環境での性能チューニング経験も歓迎します。 【求める人物像】 「現場で使える品質」に強いこだわりを持ち、研究的な探究とプロダクト志向（締切・運用・回帰・監視・安全性）を両立できる方。 制作フローや表現要件、権利や秘匿性といったエンタメ特有の制約を、技術課題として正面から翻訳し、チームで合意形成しながら解決まで持っていける方を歓迎します。 また、モデルの学習だけで完結せず、評価・安全性・デプロイまで含めて「継続的に良くする」サイクルを回すのが好きな方。 新しい手法やOSSを素早く検証しつつ、再現性と品質保証を崩さない、強いエンジニアリング規律を持つ方を想定しています。 【休日休暇】 完全週休2日制（土曜・日曜）、祝日 夏期休暇（7月1日~11月30日までの期間に3日間） 年末年始休暇（12月29日~1月3日） 年次有給休暇（初年度は入社日に10日間付与） 慶弔休暇 ※業務委託契約の場合、休日休暇はこの限りではありません。 【各種保険】 健康保険、雇用保険、労災保険、厚生年金保険 ※業務委託契約の場合、各種保険はこの限りではありません。 会社情報 【会社名】 Cygamesグループ 【関係会社】 株式会社サイバーエージェント 株式会社CyDesignation 株式会社BlazeGames 株式会社シテイル 株式会社草薙 株式会社LogicLinks 株式会社Cysharp 株式会社スコップ・ミュージック 株式会社CyFoods 株式会社CySphere 株式会社flaggs 株式会社Cygames Capital 株式会社Tokyo Anime Artifacts 株式会社COMPLEXOR 株式会社Cygames AI Studio 株式会社グリオグルーヴ
【Cygames AI Studio】言語モデルエンジニア
会社概要 ビジョン 最高のコンテンツを 最高のAIで支える会社 メッセージ Cygamesは「最高のコンテンツを作る会社」をビジョンに掲げ、妥協のないものづくりに励んできました。 その“ものづくり”精神を受け継いで生まれた Cygames AI Studio は、 AIを安心・安全に、かつ効率的に活用するための技術と仕組みを提供し、 クリエイターの挑戦を支え、新しい体験によってゲーム業界を前進させるスタジオです。 エンターテイメント産業における最高のAI研究・実装・運用組織を目指して、クリエイターが最高のコンテンツを世の中に届け続けられる環境を、新たなAIの力で実現してまいります。 仕事内容 Cygames AI Studioではゲームやアニメーション等のエンターテイメント用途に特化した小規模言語モデル（SLM）を中心とした基盤モデルの開発を進めています。 このポジションでは、限られた計算資源・推論レイテンシ・運用制約の中でも「制作現場で本当に使える」品質に到達させるために、学習（事前学習／継続事前学習／指示学習）からアラインメント、安全性、評価、推論最適化、プロダクトへの組み込みまでをリードしていただきます。 エンタメ領域の制作・運用要件（品質、表現、ワークフロー、権利、セキュリティ、低遅延）を踏まえ、SLMの学習戦略設計と実装を担当します。 具体的には、自社グループからのデータの収集・整形・フィルタリングとデータガバナンス設計、継続事前学習や指示学習、エンタメに特化して好ましい出力に寄せるアラインメントを推進します。 また、評価基盤の整備（自動評価＋人手評価、品質指標の可視化）と、推論の実運用最適化（量子化、蒸留、KVキャッシュやスループット最適化、ターゲット環境へのデプロイ）を担います。 特に、SLMはデバイス展開や低リソース環境を前提に、量子化等を含む最適化が重要になり、モデルサイズの選定や展開容易性も設計範囲に含めます。 【職種 / 募集ポジション】 【Cygames AI Studio】言語モデルエンジニア 【雇用形態】 正社員 【給与】 応相談 〜 ◆株式会社Cygames AI Studio雇用になります。 ※Cygamesからの出向ではございません。 ◆経験・能力を考慮の上、当社規定により決定します。 ※契約社員、業務委託契約の場合もございます。 ◆年俸には、所定の時間外勤務手当・深夜勤務手当を含む。時間外勤務の有無に関わらず支給する 【勤務地】 150-0036 東京都渋谷区南平台町16番17号 住友不動産渋谷ガーデンタワー 住友不動産渋谷ガーデンタワー：屋内原則禁煙（加熱式たばこ専用喫煙室あり） 【就業時間】 10:00~19:00（所定労働時間8時間） 休憩時間 60分（13:00~14:00） 【必須条件】 ソフトウェアエンジニアリングの実務経験（設計・実装・テスト・運用）を持ち、プロダクト品質を意識して機械学習システムを運用できることが求められます。 モデルの学習・評価・デプロイ・データ処理・デバッグ・ファインチューニングといった一連の工程を、設計観点と運用観点の両方から最適化できることが求められます。 さらに、深層学習（PyTorch、JAX等）を用いた学習実装能力、再現性のある実験設計（ログ、設定管理、検証可能な比較）、品質を落とさずにコスト／レイテンシ制約へ落とし込む姿勢（例：量子化や軽量化を前提とした設計）を求めます。 SLMの運用ではスケール則に頼った拡大戦略を採用できない局面が多いため、制約下の最適解を作る力を重視します。 【歓迎条件】 Megatron-LM等のフレームワークを用いたSLM/LLMの事前学習経験、および、ポストトレーニング経験（指示学習、選好学習、報酬モデル、アラインメント）、安全性評価・コンテンツ安全（trust & safety）に関する実務経験。 大規模な学習基盤や分散学習、学習効率化（例：LoRA等のPEFT）に加え、ポストトレーニングを支えるライブラリや運用知見（例：torchtune等）に明るい方を歓迎します。 推論最適化（量子化、蒸留、コンパイル、デバイス別最適化）や、エッジ／オンデバイス展開、低メモリ環境での性能チューニング経験も歓迎します。 【求める人物像】 「現場で使える品質」に強いこだわりを持ち、研究的な探究とプロダクト志向（締切・運用・回帰・監視・安全性）を両立できる方。 制作フローや表現要件、権利や秘匿性といったエンタメ特有の制約を、技術課題として正面から翻訳し、チームで合意形成しながら解決まで持っていける方を歓迎します。 また、モデルの学習だけで完結せず、評価・安全性・デプロイまで含めて「継続的に良くする」サイクルを回すのが好きな方。 新しい手法やOSSを素早く検証しつつ、再現性と品質保証を崩さない、強いエンジニアリング規律を持つ方を想定しています。 【休日休暇】 完全週休2日制（土曜・日曜）、祝日 夏期休暇（7月1日~11月30日までの期間に3日間） 年末年始休暇（12月29日~1月3日） 年次有給休暇（初年度は入社日に10日間付与） 慶弔休暇 ※業務委託契約の場合、休日休暇はこの限りではありません。 【各種保険】 健康保険、雇用保険、労災保険、厚生年金保険 ※業務委託契約の場合、各種保険はこの限りではありません。 会社情報 【会社名】 Cygamesグループ 【関係会社】 株式会社サイバーエージェント 株式会社CyDesignation 株式会社BlazeGames 株式会社シテイル 株式会社草薙 株式会社LogicLinks 株式会社Cysharp 株式会社スコップ・ミュージック 株式会社CyFoods 株式会社CySphere 株式会社flaggs 株式会社Cygames Capital 株式会社Tokyo Anime Artifacts 株式会社COMPLEXOR 株式会社Cygames AI Studio 株式会社グリオグルーヴ
【Cygames AI Studio】強化学習エンジニア（ゲーム自動プレイ・バランス最適化）
会社概要 ビジョン 最高のコンテンツを 最高のAIで支える会社 メッセージ Cygamesは「最高のコンテンツを作る会社」をビジョンに掲げ、妥協のないものづくりに励んできました。 その“ものづくり”精神を受け継いで生まれた Cygames AI Studio は、 AIを安心・安全に、かつ効率的に活用するための技術と仕組みを提供し、 クリエイターの挑戦を支え、新しい体験によってゲーム業界を前進させるスタジオです。 エンターテイメント産業における最高のAI研究・実装・運用組織を目指して、クリエイターが最高のコンテンツを世の中に届け続けられる環境を、新たなAIの力で実現してまいります。 仕事内容 強化学習（Reinforcement Learning, RL）技術を活用し、ゲームの自動プレイやゲームバランスの最適化を行うAIシステムの設計、開発、導入を担当していただきます。 - ゲームの自動プレイエージェントの開発（QA・テスト自動化、プレイヤーボット開発、ナビゲーションAIの最適化） - ゲームバランス最適化のための強化学習活用（自己対戦・報酬設計、データ分析） - NPC・エージェントAIの高度化（行動モデルの生成、プレイヤースキルに応じた適応型AIの開発） - ゲームプレイデータを用いた強化学習モデルの構築（模倣学習、環境シミュレーションの構築） - クラウド・分散処理環境での強化学習アルゴリズムの実装・最適化 - ゲームデザイナーやQAチームと連携し、強化学習を活用したワークフローを構築 - 技術ブログ執筆を通じた社内外での技術発信 【職種 / 募集ポジション】 【Cygames AI Studio】強化学習エンジニア（ゲーム自動プレイ・バランス最適化） 【雇用形態】 正社員 【給与】 応相談 〜 ◆株式会社Cygames AI Studio雇用になります。 ※Cygamesからの出向ではございません。 ◆経験・能力を考慮の上、当社規定により決定します。 ※契約社員、業務委託契約の場合もございます。 ◆年俸には、所定の時間外勤務手当・深夜勤務手当を含む。時間外勤務の有無に関わらず支給する 【勤務地】 150-0036 東京都渋谷区南平台町16番17号 住友不動産渋谷ガーデンタワー 住友不動産渋谷ガーデンタワー：屋内原則禁煙（加熱式たばこ専用喫煙室あり） 【就業時間】 10:00~19:00（所定労働時間8時間） 休憩時間 60分（13:00~14:00） 【必須条件】 - 強化学習（RL）および機械学習の理論・実装に関する知識 - PythonおよびC++/C#などのプログラミング言語での開発経験 - TensorFlow, PyTorch, JAX などの深層学習フレームワークの使用経験 - 強化学習ライブラリ（Ray RLlib, Stable Baselines, OpenAI Gym等）を用いたモデル開発経験 - 数学・統計の基礎知識（線形代数、確率・統計、最適化手法） 【歓迎条件】 - ゲームAI開発の経験 - 強化学習を用いたゲーム自動プレイやバランス調整の実プロジェクト経験 - 分散学習・クラウド環境（AWS, GCP, Azure, Kubernetes）での開発経験 - MLOps/DevOpsの経験（モデルのデプロイ、継続的学習、CI/CD） - ゲームプレイヤーの行動データを用いた模倣学習やデータ駆動型AIの開発経験 - シミュレーション環境を構築し、エージェントの学習を行った経験 - ゲーム開発ワークフローにおけるAIツールの統合経験 - 英語での技術文書の読解およびコミュニケーション能力 【求める人物像】 - ゲーム開発とAI技術の融合に強い興味を持ち、新しい技術を積極的に学習する意欲がある方 - 機械学習・強化学習の研究成果をゲームに適用し、実際の開発に落とし込む能力がある方 - チームでの協調を重視し、ゲームデザイナーやエンジニアと円滑にコミュニケーションを取れる方 - 未知の問題に対して試行錯誤しながら解決策を見つけられる方 - プレイヤー体験を向上させるためのAI技術応用に興味を持つ方 【休日休暇】 完全週休2日制（土曜・日曜）、祝日 夏期休暇（7月1日~11月30日までの期間に3日間） 年末年始休暇（12月29日~1月3日） 年次有給休暇（初年度は入社日に10日間付与） 慶弔休暇 ※業務委託契約の場合、休日休暇はこの限りではありません。 【各種保険】 健康保険、雇用保険、労災保険、厚生年金保険 ※業務委託契約の場合、各種保険はこの限りではありません。 会社情報 【会社名】 Cygamesグループ 【関係会社】 株式会社サイバーエージェント 株式会社CyDesignation 株式会社BlazeGames 株式会社シテイル 株式会社草薙 株式会社LogicLinks 株式会社Cysharp 株式会社スコップ・ミュージック 株式会社CyFoods 株式会社CySphere 株式会社flaggs 株式会社Cygames Capital 株式会社Tokyo Anime Artifacts 株式会社COMPLEXOR 株式会社Cygames AI Studio 株式会社グリオグルーヴ
【Cygames AI Studio】AIスペシャリスト（画像生成）
会社概要 ビジョン 最高のコンテンツを 最高のAIで支える会社 メッセージ Cygamesは「最高のコンテンツを作る会社」をビジョンに掲げ、妥協のないものづくりに励んできました。 その“ものづくり”精神を受け継いで生まれた Cygames AI Studio は、 AIを安心・安全に、かつ効率的に活用するための技術と仕組みを提供し、 クリエイターの挑戦を支え、新しい体験によってゲーム業界を前進させるスタジオです。 エンターテイメント産業における最高のAI研究・実装・運用組織を目指して、クリエイターが最高のコンテンツを世の中に届け続けられる環境を、新たなAIの力で実現してまいります。 仕事内容 画像生成および画像処理に関する業務に従事していただきます。 - 画像生成サービスの実証試験 - 画像処理と生成に関する新しいAI技術の評価と導入、および知見の社内共有 - 画像生成モデルのトレーニング、チューニング、最適化 - 画像処理および画像生成技術の研究開発 【職種 / 募集ポジション】 【Cygames AI Studio】AIスペシャリスト（画像生成） 【雇用形態】 正社員 【給与】 応相談 〜 ◆株式会社Cygames AI Studio雇用になります。 ※Cygamesからの出向ではございません。 ◆経験・能力を考慮の上、当社規定により決定します。 ※契約社員、業務委託契約の場合もございます。 ◆年俸には、所定の時間外勤務手当・深夜勤務手当を含む。時間外勤務の有無に関わらず支給する 【勤務地】 150-0036 東京都渋谷区南平台町16番17号 住友不動産渋谷ガーデンタワー 住友不動産渋谷ガーデンタワー：屋内原則禁煙（加熱式たばこ専用喫煙室あり） 【就業時間】 10:00~19:00（所定労働時間8時間） 休憩時間 60分（13:00~14:00） 【必須条件】 - 画像・3D・動画に関連する分野における修士以上の学位 - イラスト・3D・動画などのコンテンツについて、ハイクオリティなものを制作・公開した経験（個人制作でも可） - 生成AIを含めたワークフローを設計し、それにより業務効率化や品質向上などの問題解決を行なった業務上の経験 - 表面的な問題から課題の本質を聞き出し、チームでその解決を行えるコミュニケーション能力 【歓迎条件】 - 画像・3D・動画を含む機械学習分野の査読付き国際学会・国際論文において、第一著者として採択された実績 - 他者が作成したイラスト・3D・動画などのコンテンツを監修した経験 - 最新の画像生成AIサービス・ソフトウェア・論文などをキャッチアップし、それらの特性や違いを理解する継続的な取り組み - 画像や動画以外の分野も含めた、機械学習・AI分野における幅広い経験 - コンピュータサイエンス分野における基本的な知識 - 日本語以外のAI関連情報をキャッチアップできる語学力 - 日頃からゲームをプレイされる方。特にCygamesのゲームをやりこんだ経験のある方 【求める人物像】 - 新しい技術に対する好奇心と熱意を持つ方 - 問題解決に対する強い意欲と創造的な思考力を持つ方 - クロスファンクショナルなチーム内で協力的に作業できる方 - 自己主導で学習し、知識を更新し続ける能力を持つ方 【休日休暇】 完全週休2日制（土曜・日曜）、祝日 夏期休暇（7月1日~11月30日までの期間に3日間） 年末年始休暇（12月29日~1月3日） 年次有給休暇（初年度は入社日に10日間付与） 慶弔休暇 ※業務委託契約の場合、休日休暇はこの限りではありません。 【各種保険】 健康保険、雇用保険、労災保険、厚生年金保険 ※業務委託契約の場合、各種保険はこの限りではありません。 会社情報 【会社名】 Cygamesグループ 【関係会社】 株式会社サイバーエージェント 株式会社CyDesignation 株式会社BlazeGames 株式会社シテイル 株式会社草薙 株式会社LogicLinks 株式会社Cysharp 株式会社スコップ・ミュージック 株式会社CyFoods 株式会社CySphere 株式会社flaggs 株式会社Cygames Capital 株式会社Tokyo Anime Artifacts 株式会社COMPLEXOR 株式会社Cygames AI Studio 株式会社グリオグルーヴ
【フリーランス】強化学習エンジニア（ゲーム自動プレイ・バランス最適化）／東京
仕事内容 強化学習（Reinforcement Learning, RL）技術を活用し、ゲームの自動プレイやゲームバランスの最適化を行うAIシステムの設計、開発、導入を担当していただきます。 - ゲームの自動プレイエージェントの開発（QA・テスト自動化、プレイヤーボット開発、ナビゲーションAIの最適化） - ゲームバランス最適化のための強化学習活用（自己対戦・報酬設計、データ分析） - NPC・エージェントAIの高度化（行動モデルの生成、プレイヤースキルに応じた適応型AIの開発） - ゲームプレイデータを用いた強化学習モデルの構築（模倣学習、環境シミュレーションの構築） - クラウド・分散処理環境での強化学習アルゴリズムの実装・最適化 - ゲームデザイナーやQAチームと連携し、強化学習を活用したワークフローを構築 - 技術ブログ執筆を通じた社内外での技術発信 関連記事 Cygames Magazine ： - AIテクノロジーの仕事とは？ 一般業務やゲーム開発をAIで加速する【サイゲームス仕事百科】(https://magazine.cygames.co.jp/archives/36942) - 【マネージャーの思考】AIテクノロジーの組織づくり AIで開拓するゲームの新境地とは(https://magazine.cygames.co.jp/archives/32935) 【職種 / 募集ポジション】 【フリーランス】強化学習エンジニア（ゲーム自動プレイ・バランス最適化）／東京 【雇用形態】 業務委託 【給与】 応相談 〜 月額 25万円 〜 90万円 【勤務地】 150-0036 東京都渋谷区南平台町16番17号 住友不動産渋谷ガーデンタワー 153-0042 東京都目黒区青葉台3丁目6番28号 住友不動産青葉台タワー 【勤務体系】 勤務地や稼働、報酬は面談にてご相談させてください。 【必須条件】 ・強化学習（RL）および機械学習の理論／実装に関する知識 ・PythonおよびC++/C#などのプログラミング言語での開発経験 ・TensorFlow, PyTorch, JAX などの深層学習フレームワークの使用経験 ・強化学習ライブラリ（Ray RLlib, Stable Baselines, OpenAI Gym等）を用いたモデル開発経験 ・数学／統計の基礎知識（線形代数、確率・統計、最適化手法） 【歓迎条件】 ・ゲームAI開発の経験 ・強化学習を用いたゲーム自動プレイやバランス調整の実プロジェクト経験 ・分散学習、またはクラウド環境（AWS、GCP、Azure、Kubernetes）での開発経験 ・MLOps/DevOpsの経験（モデルのデプロイ、継続的学習、CI/CD） ・ゲームプレイヤーの行動データを用いた模倣学習やデータ駆動型AIの開発経験 ・シミュレーション環境を構築し、エージェントの学習を行った経験 ・ゲーム開発ワークフローにおけるAIツールの統合経験 ・英語での技術文書の読解およびコミュニケーション能力 【求める人物像】 ・ゲーム開発とAI技術の融合に強い興味を持ち、新しい技術を積極的に学習する意欲がある方 ・機械学習／強化学習の研究成果をゲームに適用し、実際の開発に落とし込む能力がある方 ・チームでの協調を重視し、ゲームデザイナーやエンジニアと円滑にコミュニケーションを取れる方 ・未知の問題に対して試行錯誤しながら解決策を見つけられる方 ・プレイヤー体験を向上させるためのAI技術応用に興味を持つ方 【福利厚生・サポート制度】 ■コミュニケーション活性化制度 総会 オフィシャルクラブ制度 懇親会費用補助 ゲームプレイルーム ■スキルアップサポート 入社研修プログラム CyStudy スキルサーズデー ■健康サポート・補助制度 インフルエンザワクチン接種 社内常設の整体 ソフトドリンク無料 ランチ補助 ■その他 ※詳細につきましては、下記URLからご覧ください。 https://recruit.cygames.co.jp/benefits/ 会社情報 【会社名】 Cygamesグループ 【関係会社】 株式会社サイバーエージェント 株式会社CyDesignation 株式会社BlazeGames 株式会社シテイル 株式会社草薙 株式会社LogicLinks 株式会社Cysharp 株式会社スコップ・ミュージック 株式会社CyFoods 株式会社CySphere 株式会社flaggs 株式会社Cygames Capital 株式会社Tokyo Anime Artifacts 株式会社COMPLEXOR 株式会社Cygames AI Studio 株式会社グリオグルーヴ
強化学習エンジニア（ゲーム自動プレイ・バランス最適化）／東京
仕事内容 強化学習（Reinforcement Learning, RL）技術を活用し、ゲームの自動プレイやゲームバランスの最適化を行うAIシステムの設計、開発、導入を担当していただきます。 - ゲームの自動プレイエージェントの開発（QA・テスト自動化、プレイヤーボット開発、ナビゲーションAIの最適化） - ゲームバランス最適化のための強化学習活用（自己対戦・報酬設計、データ分析） - NPC・エージェントAIの高度化（行動モデルの生成、プレイヤースキルに応じた適応型AIの開発） - ゲームプレイデータを用いた強化学習モデルの構築（模倣学習、環境シミュレーションの構築） - クラウド・分散処理環境での強化学習アルゴリズムの実装・最適化 - ゲームデザイナーやQAチームと連携し、強化学習を活用したワークフローを構築 - 技術ブログ執筆を通じた社内外での技術発信 関連記事 Cygames Magazine ： - AIテクノロジーの仕事とは？ 一般業務やゲーム開発をAIで加速する【サイゲームス仕事百科】(https://magazine.cygames.co.jp/archives/36942) - 【マネージャーの思考】AIテクノロジーの組織づくり AIで開拓するゲームの新境地とは(https://magazine.cygames.co.jp/archives/32935) 【職種 / 募集ポジション】 強化学習エンジニア（ゲーム自動プレイ・バランス最適化）／東京 【雇用形態】 正社員 【給与】 年収 4,500,000円 〜 12,000,000円 ◆経験・能力を考慮の上、当社規定により決定します。 ※契約社員、業務委託契約の場合もございます。 ◆年俸外の半期業績インセンティブ制度あり ◆年俸には、所定の時間外勤務手当・深夜勤務手当を含む。時間外勤務の有無に関わらず支給する ◆年収例 600万円／28歳 650万円／31歳 800万円／39歳 【勤務地】 150-0036 東京都渋谷区南平台町16番17号 住友不動産渋谷ガーデンタワー 153-0042 東京都目黒区青葉台3丁目6番28号 住友不動産青葉台タワー 住友不動産渋谷ガーデンタワー：屋内原則禁煙（加熱式たばこ専用喫煙室あり） 住友不動産青葉台タワー：屋内原則禁煙（加熱式たばこ専用喫煙室あり） 【就業時間】 10:00~19:00（所定労働時間8時間） 休憩時間 60分（13:00~14:00） ◆月平均時間外 18.5時間程度（2025年実績） 【必須条件】 ・強化学習（RL）および機械学習の理論／実装に関する知識 ・PythonおよびC++/C#などのプログラミング言語での開発経験 ・TensorFlow, PyTorch, JAX などの深層学習フレームワークの使用経験 ・強化学習ライブラリ（Ray RLlib, Stable Baselines, OpenAI Gym等）を用いたモデル開発経験 ・数学／統計の基礎知識（線形代数、確率・統計、最適化手法） 【歓迎条件】 ・ゲームAI開発の経験 ・強化学習を用いたゲーム自動プレイやバランス調整の実プロジェクト経験 ・分散学習、またはクラウド環境（AWS、GCP、Azure、Kubernetes）での開発経験 ・MLOps/DevOpsの経験（モデルのデプロイ、継続的学習、CI/CD） ・ゲームプレイヤーの行動データを用いた模倣学習やデータ駆動型AIの開発経験 ・シミュレーション環境を構築し、エージェントの学習を行った経験 ・ゲーム開発ワークフローにおけるAIツールの統合経験 ・英語での技術文書の読解およびコミュニケーション能力 【求める人物像】 ・ゲーム開発とAI技術の融合に強い興味を持ち、新しい技術を積極的に学習する意欲がある方 ・機械学習／強化学習の研究成果をゲームに適用し、実際の開発に落とし込む能力がある方 ・チームでの協調を重視し、ゲームデザイナーやエンジニアと円滑にコミュニケーションを取れる方 ・未知の問題に対して試行錯誤しながら解決策を見つけられる方 ・プレイヤー体験を向上させるためのAI技術応用に興味を持つ方 【休日休暇】 完全週休2日制（土曜・日曜）、祝日 夏期休暇（7月1日~11月30日までの期間に3日間） 年末年始休暇（12月29日~1月3日） 年次有給休暇（初年度は入社日に10日間付与） 慶弔休暇 ※業務委託契約の場合、休日休暇はこの限りではありません。 【各種保険】 健康保険、雇用保険、労災保険、厚生年金保険 ※業務委託契約の場合、各種保険はこの限りではありません。 【福利厚生・サポート制度】 ■コミュニケーション活性化制度 総会 オフィシャルクラブ制度 懇親会費用補助 ゲームプレイルーム ■スキルアップサポート 入社研修プログラム CyStudy スキルサーズデー メンタートレーナー制度 （新卒及び第二新卒向け） ■健康サポート・補助制度 インフルエンザワクチン接種 社内常設の整体 ソフトドリンク無料 ランチ補助 ベビーシッター利用割引制度 脳ドック ■手当/その他（正社員向け） 家賃補助制度（2駅ルール・どこでもルール） 引越手当 子ども手当 企業型確定拠出年金制度 ■その他 ※業務委託契約の場合、福利厚生はこの限りではありません。 ※詳細につきましては、下記URLからご覧ください。 https://recruit.cygames.co.jp/benefits/ 【その他】 副業禁止となります 会社情報 【会社名】 Cygamesグループ 【関係会社】 株式会社サイバーエージェント 株式会社CyDesignation 株式会社BlazeGames 株式会社シテイル 株式会社草薙 株式会社LogicLinks 株式会社Cysharp 株式会社スコップ・ミュージック 株式会社CyFoods 株式会社CySphere 株式会社flaggs 株式会社Cygames Capital 株式会社Tokyo Anime Artifacts 株式会社COMPLEXOR 株式会社Cygames AI Studio 株式会社グリオグルーヴ
LLM Game Designer
LLM Game Designer at welevel GmbH. German games industry role. Company category: Developer. Job category: Game / Level Design. Job type: Full-Time. Added: 06.06.2026.
AI Specialist, Treasury Finance Operations
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team At its core, Stripe is a treasury company, and the Treasury Finance team is central to building the Global Payments and Treasury Network (GPTN). Treasury Finance Operations (TFin Ops) plays a critical role in the strategy, execution, and support of core functions of Treasury Finance, including cash management and forecasting, bank account management, investment execution and oversight, intercompany funding, and more. We're at an exciting inflection point and are investing heavily in AI to fundamentally transform how we operate. This role sits at the intersection of Treasury Finance expertise and applied AI and will be instrumental in building and scaling the Treasury Finance AI strategy. You'll work within a globally connected team to build AI-powered agents and automation solutions that make our operational workflows faster, more accurate, and more scalable. What you'll do You'll work closely with Treasury Finance subject matter experts and the broader Finance AI ecosystem to build and operationalize AI agents and automation solutions that transform how Treasury Finance teams work. You'll move from understanding manual workflows to shipping effective solutions—and then enabling the team to maintain them independently. Responsibilities - Build and operationalize AI agents for Treasury use cases such as cash forecasting, bank account management, alerting and reporting, and workflow automation, using internal agentic platforms and automation tools at Stripe - Deliver solutions end-to-end, from prototype to implementation and handoff - Automate manual and repetitive Treasury processes by identifying high-impact opportunities, designing scalable solutions, and iterating based on team feedback - Drive Treasury Finance AI strategy by maintaining a prioritized backlog of automation opportunities, tracking impact, and contributing to the team's long-term AI roadmap in partnership with Finance AI Solution Architecture and domain leads - Design and maintain knowledge layers and data pipelines that improve agent accuracy, including structured reference data, validation frameworks, and data quality controls - Independently scope automation opportunities, navigate platform constraints through creative problem-solving, and balance speed with quality to deliver impact quickly - Explore and prototype emerging AI applications to address evolving Treasury challenges Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements - Bachelor's degree in finance, mathematics, computer science, engineering, or a related field, with 3+ years of experience in software development, data science, or treasury and finance roles - Experience with emerging AI and LLM tools, conversational interfaces, prompt engineering, automation platforms or RPA, and LLM frameworks such as LangChain, LangGraph, or similar tools used to build
Yield & Monetization Analyst (Contract)
About the role Character is building one of the most engaged consumer AI products in the world, and we’re scaling the advertising business that helps fund it. Our core programmatic infrastructure is already in place. We’re bringing on a Yield & Monetization Analyst on a contract basis to strengthen the analytical and operational layer on top of it working hand in hand with our Data team and the rest of the monetization function. This is a role for someone who is fluent in advertising technology and the programmatic advertising ecosystem: you’ll partner with the Data Science team to define the audience segments that drive pricing, maintain a disciplined weekly cadence for monitoring and adjusting price floors, and keep ad monetization in lockstep with our broader initiatives including subscriptions, and one time purchases so the strategies reinforce one another rather than compete. You’ll work alongside our existing monetization teams who handle the underlying ad-stack architecture and implementation; your focus is segmentation, floor governance, and cross-functional alignment. What success looks like We expect this role to deliver: - A segmentation framework, built with the Data Science team, that breaks inventory and audiences into meaningful cohorts (geo, device, surface, engagement / session depth, user tenure) and feeds directly into pricing and demand strategy. - A standing weekly price-floor review running smoothly geo-tiered Unified Pricing Rules monitored, adjusted, and documented against fill and eCPM, with a clear audit trail of changes and outcomes. - Ad monetization decisions are visibly coordinated with subscriptions and other monetization initiatives, ad load, segment treatment, and floor strategy aligned to LTV and user experience so the lines complement rather than cannibalize each other. - A reporting view that connects segments → floor changes → revenue outcomes, legible to Monetization team, Data Science team, and leadership. - What you’ll do - Partner with various internal and external stakeholders to define and continuously refine audience and inventory segments, and translate those cohorts into actionable targeting and pricing strategy. - Own a weekly price-floor governance cadence: review geo-tiered Unified Pricing Rules against performance, propose and apply adjustments, and track the fill / eCPM impact of every change. - Stay in lockstep with broader company monetization initiatives aligning ad strategy, ad load, and segment treatment with LTV, conversion, and user-experience goals, and adjusting on the fly should cannibalization risk be identified. - Monitor daily and weekly revenue, investigate anomalies and discrepancies, and run structured A/B tests to validate floor and segment changes. - Build and maintain dashboards that tie segment performance, floor movements, and demand-source behavior to revenue, partnering with Data on instrumentation and attribution. - Support demand integrations (AdX / Open Bidding, Amazon TAM) in partnership with the monetization owner and Engineering, contributing the analytical lens. - Help translate findings into clear recommendations and briefings for Monetization, Data, and leadership stakeholders. What you’ll bring - 4+ years in yield management, ad operations, revenue / monetization analytics, or publisher monetization, with a strong analytical core. - Demonstrated experience with audience / inventory segmentation and cohort analysis, and comfort working closely with a data team; SQL and BI tooling (e.g. Looker, Tableau) a strong plus. - Hands-on Google Ad Manager fluency, especially Unified Pricing Rules and floor management, plus a solid grasp of the programmatic ecosystem (AdX / Open Bidding, header bidding, SSP / DSP / RTB). - Understanding of hybrid monetization — how ad-supported and subscription / paid models interact, and how to balance ad revenue against LTV and retention. - A disciplined, cadence-driven operator who can run a reliable weekly review and k
Product Manager, AI Access
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations - New York, US - San Francisco, US About the Role AI Access is one of two central pillars of Cloudflare's Act 4 (the other is Agentic Commerce). As bot traffic rises and human traffic declines, publishers and service providers lose the ad and subscription revenue that funds the open web. Without a new model, the economic incentive to create original content may decline or even disappear. We help Cloudflare's customers embrace the Agentic Web by making their content and services available to AI agents on their terms — open to any bot, gated behind payment, or anywhere in between. Help us build a better internet by ushering in a new business model for it. At Cloudflare, performance is about results and behaviors. We value curiosity, transparency, empathy, grit, and doing the principled thing. We're distributed by design — this role is based in London or Lisbon, with regular travel to partners and team offsites. Content creators should be compensated for the value they create — whether a human or an agent is consuming it. We're helping build the business model for the agentic web. What we ship directly shapes how the AI economy develops over the next two to three years. The trade-off: ambiguous, demanding, high expectations. If you want a legible PM role at a big company, this isn't it. If you want to own the product side of a thesis that matters, it is. Responsibilities - Drive the strategy and roadmap across a suite of products that help content creators protect, value, and earn compensation for their work, and adjacent AI Access products - Deliver product specifications, prototypes, product positioning, and high-impact launches - Partner with Engineering, Design, Research, and GTM to ship at high velocity - Work with Partnerships and BD to define the new business model for the open web - Represent the product externally with publishers, AI labs, and developers Desirable Skills, Knowledge, and Experience <l
Product Manager - AI
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. Canonical’s product management team are technologists who have a passion for delivering products and solutions that help shape market demands while elevating open source software everywhere. This is a general application track for the product management positions at Canonical. You will set a clear vision, prioritize work effectively, and ensure the team delivers high-quality products that meet business and user needs. Apply here if you excel at leadership, communication, and technical vision, and believe you can drive product strategy for the business needs of tomorrow. During the interview process we will identify specific software products which would be a good fit for your interests. We believe that open source is transforming the way that enterprises solve their business needs. Although open source has been around for thirty years, it is only now fundamental to every corner of the software landscape. Going forward we believe open source will have an even bigger impact as it moves into specialised vertical markets. Our goal is to make open source easier, more reliable and more secure for deployment and development. We strive to be the provider of ‘most software to most companies’, starting with Ubuntu but expanding to cover every class of application on every class of compute. To deliver on that ambition, we select product managers for their intellect and strong drive to advance the open source community. Together, we aim to improve open source quality, outreach, and impact. Our product managers set the vision and the direction to ensure teams deliver the right products in the right markets at the right time. They push the boundaries of the technology landscape to identify and deliver products into new and existing market opportunities. Our product managers are technology professionals with a software engineering background who strive to become business executives and entrepreneurs. We discuss strategy, plan product development, drive engagement, and promote the open source way. We oversee the entire product lifecycle from conception to delivery, blending technical expertise, strategic thinking, analytics, project management skills and effective communication to ensure products meet both user needs and business objectives. We have open product manager roles across a wide range of product domains, including: - Ubuntu Platform - Our Ubuntu experience on Desktop, Server, Windows (WSL), Multipass, Gaming, Enterprise, & Hardware Enablement - Ubuntu Pro Services - Our key commercial offerings Ubuntu Pro, Compliance, Standards, Security Engineering, and Managed Services on cloud and on prem - AI/ML & MLOps - Open source AI/ML solutions, AIOps automation, model lifecycle management, Kubeflow, MLFlow, KServe, and AI infrastructure on cloud and edge - IoT - Ubuntu on embedded devices and/or edge servers, device management, and robotics - Cloud - Ubuntu in public and private clouds, promoting automation frameworks, and including technologies such as Kubernetes, MAAS, and LXD - Telco - Open source for Telco's
[2026] Data Scientist, Social
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Why Data Science & Analytics? The Data Science & Analytics organization’s mission is to increase our speed, frequency, and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling, and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products, and measure impact on our community of players and developers. Why Social at Roblox? Roblox is a highly social platform hosting billions of user connections, and we are actively building a diverse suite of social products to nurture engaging experiences. In this role, you will partner with our Social Connections team to identify opportunities for growing user connections, facilitating co-experiences, and enhancing social content discovery. You will leverage your technical expertise and analytical skills to design experiments, formulate product strategies, and conduct research to gain deeper insights into the Roblox social network, utilizing the latest AI capabilities. Additionally, you will contribute to communications, social sharing, and community features while collaborating with cross-functional verticals such as Discovery, Safety, and Creator. This role reports directly to Senior Data Science leadership and involves close collaboration with our Director of Product and Senior Engineering/Design leadership. You Will: - Design, execute, and analyze A/B tests to measure the impact of new features and inform product decisions. - Architect and build robust data pipelines to support analytics, reporting, and modeling needs. - Conduct deep-dive analyses to understand user behavior, identify opportunities for growth, and solve ambiguous business problems. - Contribute to the team's science roadmap by identifying key areas for analysis and experimentation. You Have: - Possess or pursuing a PhD or equivalent in Data Science, Biostatistics, Mathematics or a related field, OR a Master’s degree with 2+ years of experience - Expertise in SQL and experience using scripting languages for data analysis (e.g., Python, R). - Proficiency in developing data pipelines and working with big data technologies (e.g., Spark, Hive, Airflow).&
Ads Conversion Modeling, Machine Learning Engineer...
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit’s lower funnel business is rapidly growing and pushing the heavy ranking web conversion models towards state-of-the-art is critical for continued growth. The Conversion modeling Team plays a pivotal role in developing and maintaining machine learning models that drive user conversions from Reddit Ads, with a special focus on predictive modeling around interactions like purchase, signup, add to cart, and other lower funnel user actions. As we expand our machine learning infrastructure and incorporate new engagement signals, we are looking for a skilled Engineering Manager who can lead this critical team. This role is well-suited for a leader with deep machine learning expertise, strategic vision, and a collaborative mindset to engage with both technical and cross-functional stakeholders. We’re a remote-friendly company, and this position is open to candidates anywhere in the U.S. Target Skills and Expertise The Engineering Manager (EM) will be responsible for defining the team’s vision, setting strategic direction, and executing a technical roadmap for conversion modeling at Reddit. This involves: - Model Architectures: Expertise in architecting and implementing deep learning models, with experience in ranking, recommendation, or conversion modeling. - ML Frameworks: Proficiency with mainstream ML libraries (TensorFlow, PyTorch). - End-to-End ML Lifecycle: Experience in training, testing, and deploying production-grade machine learning models. - Data Pipelines: Experience orchestrating large-scale data generation and processing pipelines. - Ads domain Experience: Experience in interaction of ranking model with rest of Ads systems like bidding, auction, retrieval etc - Ads Modeling (Preferred): Background in ads modeling or familiarity with engagement prediction models in the ads domain is beneficial. Role responsibilities: The EM will lead a diverse, high-impact team and will need to navigate and foster collaboration with various teams such as PM, DS, and engineering functions within Ads. Ideal candidates will have: - People Management Experience: Prior experience managing engineering teams with a strong emphasis on technical mentorship and team growth. - Set Technical Vision and Strategy: Abilit
Senior Manager - HPC & AI System Application Perfo...
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: At AMD, we push the boundaries of high-performance computing, graphics, and visualization, the technologies driving AI, gaming, and the data center. We're looking for computational science leaders to help prepare applications for the world's most powerful supercomputers across industry, academia, and national labs. The AMD HPC & Sovereign AI applications team seeks a strong, experienced, collaborative leader with sharp technical skills to lead a highly educated and motivated team from the front in a hands-on manner. The candidate needs to have a demonstrated track record of development and leadership. The ability to interact with customers and partners is essential. You will work closely with stakeholders, diverse teams within AMD, external code owners, and customers to lead a development team in delivering high quality and performant HPC and AI applications for use on AMD GPU products. THE PERSON: You are passionate about performance and quality of software products. You continuously coordinate across organizations, bringing together developers, customers, and product engineers to deliver programs on-time . You delight in winning business by providing recognizable value to our customers. KEY RESPONSIBILITIES: - Lead and manage a team of talented scientific domain experts, computational scientists, and performance optimization engineers to adapt and optimize HPC and AI applications to perform on AMD hardware - Lead full system application performance attainment for Exascale-class customers - Lead and coordinate technical content for customer RFPs and business proposals - Drive the delivery of Exascale ready applications to AMD business units and customers - Manage internal HPC development system admins to support the team’s work - Interact with stakeholders to establish program requirements and schedules - Work with other AMD teams to continuously improve AMD development software products PREFERRED EXPERIENCE: - Demonstrated track record of software team management - Technical expertise in foundational science, computer science, computer architecture, or computational mathematics, and experience in one or more of the following domains: - Computational Chemistry - Computational Geophysics - Oil and Gas applications - Weather Modelling - Applied Mathematics - AI/ML - Experience with JIRA or similar project management environment, ideally in an Agile software development environment. - Experience with HPC and AI software stacks - Experience managing and collaborating across a geographically distributed team (AMD has sites across North America, in Europe, and Asia) - Excellent written and verbal communication skills, including executive-level presentations - Experience with large machine procurement processes and export control compliance is a plus ACADEMIC CREDENTIALS: - PhD or equivalent accomplishments in Computer Science, Electrical/Computer Engineering or related scientific computing domains A successful candidate must be eligible for a U.S. Department of Energy Q-level access authorization. This role is not eligible for visa sponsorship. LI-TB1 LI-Hybrid Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
GenAI Software Development Architect
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: We are building an AI-native hardware and firmware validation platform from the ground up — one where LLMs, RAG pipelines, autonomous agents, and knowledge graphs are the core of how the system works, not an add-on. As the Software Development Architect, you will own the end-to-end technical design of this platform: multi-agent orchestration, retrieval-augmented knowledge systems, MCP server infrastructure, and the engineering standards that make all of it reliable at scale. This role sits within the Global Cluster Engineering organization, where you will develop software that powers distributed infrastructure at global scale. You will work closely with validation engineers, hardware teams, and leadership to translate domain requirements into a production-grade AI-native system. This is a hands-on role — you will write code, drive technology decisions, and directly mentor engineers. THE PERSON: - Experience: software development experience, with at least 4 years in architecture, staff, or principal engineer role - AI-Native Systems: Deep, hands-on experience designing and shipping production AI-native systems — not just LLM API integration, but the full stack: RAG pipelines, agent orchestration, tool use, multi-agent coordination, and LLM evaluation - LLM Fundamentals: Strong understanding of how LLMs work in practice — context windows, grounding, hallucination failure modes, prompt engineering, model selection, and how behavior changes across providers and versions - Retrieval Systems: Proven experience with vector search, embedding models, hybrid retrieval, reranking pipelines, and knowledge graph-augmented RAG - Core Skills: Strong proficiency in one or more modern programming languages such as Python, TypeScript/Node.js, Go, Java, C#, or Rust, with demonstrated ability to build and operate production-scale services. Python experience is preferred due to the AI/ML ecosystem - Engineering excellence: Async programming, API design, distributed systems, clean code practices. Experience designing for reliability in automated/unattended environments — crash recovery, audit trails, state management, observability. Strong written communication — architecture docs, design specs, and engineering standards that outlast your tenure. Track record of setting engineering standards that teams follow - Hardware Affinity: Experience working closely with hardware teams — servers, networking equipment, or compute infrastructure — with an understanding of how software interacts with physical systems - Cloud Infrastructure: Experience with AWS, Azure, or GCP — infrastructure provisioning, managed services, networking, and deploying production workloads at scale - AI Tooling: Demonstrated use of AI coding assistants and LLM-powered developer tools (Claude Code, GitHub Copilot, Cursor, etc.) to accelerate design, development, and documentation KEY RESPONSIBILITIES: - Platform Architecture: Design and own the architecture of an AI-native validation platform where autonomous LLM agents plan, execute, and analyze hardware and firmware test campaigns end-to-end — without a human in the loop - RAG System Design: Architect the full retrieval-augmented generation stack — document ingestion pipelines, chunking strategies, embedding models, vector stores, knowledge graph backends, hybrid search, cross-encoder and LLM-based reranking — ensuring agents have accurate, grounded knowledge at query time - Agent Orchestration: Define multi-agent dispatch patterns, context window management strategies, anti-hallucination contracts, tool-use boundaries, inter-agent communication protocols, and crash recovery mechanisms for long-running unattended runs - MCP Integration: Own the integration architecture between the agent layer (Claude Code / Model Context Protocol), the knowledge backend (Qdrant, Neo4j / LightRAG), and external systems (Slack, Jira, Confluence, GitHub) or equivalent - Engineering Standards: Establish and enforce AI-native development standards — prompt design, skill authoring, agent contract specifications, artifact schemas, and evaluation methodology for LLM outputs - LLM Reliability: Lead the team's approach to building trustworthy agentic systems — fabrication detection, context compaction recovery, output validation, and post-run audit infrastructure - Technology Evaluation: Continuously evaluate new LLM capabilities, model releases, embedding models, and agentic frameworks; make pragmatic adoption decisions - AI Services: Design and implement scalable, low-latency AI services powering metadata generation, feature extraction, and knowledge retrieval across the validation platform - Agentic AI Deployment: Develop and deploy agentic AI solutions — autonomous agents, multi-agent orchestration frameworks, and LLM-powered workflows — that transform hardware validation, firmware QA, and lab operations - Stakeholder Collaboration: Partner with engineering peers, validation engineers, and business stakeholders to understand requirements and translate them into flexible, future-proof design solutions - Security & Compliance: Ensure AI/ML systems comply with security standards and best practices, addressing data privacy and protection concerns across all LLM integrations and knowledge pipelines - End-to-End Ownership: Own the platform end-to-end — from project estimation and architecture review through coding, deployment, and post-launch measurement - Operational Excellence: Build resilient systems with strong observability; establish automated testing, monitoring, and CI/CD pipelines using infrastructure-as-code tools (Terraform); lead root-cause analysis and drive continuous reliability improvements - Team Leadership: Mentor software developers, conduct design reviews, and set the technical bar for the team PREFERRED EXPERIENCE: - Background in the semiconductor or datacenter industry — hardware validation, firmware development, or silicon bring-up - Experience with network hardware (NICs, switches, GPUs) or associated diagnostics (PCIe, RDMA, etc) - Familiarity with the Model Context Protocol (MCP) or agentic platforms (LangGraph, CrewAI, AutoGen) - Published work, open source contributions, or talks in the AI/LLM space - Data Engineering & Analytics: Experience with data pipeline design, ETL workflows, data warehousing, or analytics platforms is a plus ACADEMIC CREDENTIALS: BS or MS Degree in Computer Science, Electrical Engineering, or related field LOCATION: Santa Clara Austin or Seattle or Secaucus LI-KW1 Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
GenAI Software Development Engineer
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: We are building a platform where autonomous AI agents run hardware validation campaigns, triage failures, and continuously grow a shared knowledge base — without a human in the loop. You will be a core engineer on this system, designing and building the LLM agent framework, RAG pipelines, MCP backend, and developer tooling that make it work. This role sits within the Global Cluster Engineering organization, where you will develop software that powers distributed infrastructure at global scale. This is an AI-native software engineering role: you will spend your time building multi-agent orchestration systems, retrieval-augmented generation pipelines, tool-use frameworks, and knowledge graph integrations. You do not need deep hardware domain knowledge — but intellectual curiosity about how firmware validation and network hardware works will help you build better tools for the engineers who do. We are hiring two Senior Software Engineers into this role; specific areas of ownership will be shaped by each person's strengths and interests. THE PERSON: - Experience: software development experience, with a strong portfolio of production systems - AI-Native Development: Genuine passion for building AI-native software — you follow the field, have shipped real LLM-powered systems, and care about getting the details right (grounding, evaluation, failure modes, not just prompts) - RAG Systems: Hands-on experience building RAG pipelines — embedding models, vector databases, chunking strategies, retrieval evaluation, hybrid search, and reranking - LLM Engineering: Production experience with LLM tool use, multi-agent orchestration, prompt engineering, context management, and hallucination mitigation - Core Skills: Strong proficiency in one or more modern programming languages such as Python, TypeScript/Node.js, Go, Java, C#, or Rust, with demonstrated ability to build and operate production-scale services. Python experience is preferred due to the AI/ML ecosystem - Engineering excellence: Async programming, API design, distributed systems, clean code practices. Experience designing for reliability in automated/unattended environments — crash recovery, audit trails, state management, observability - Cloud Infrastructure: Experience with AWS, Azure, or GCP — infrastructure provisioning, managed services, networking, and deploying production workloads at scale - AI Tooling: Active use of AI coding assistants and LLM-powered developer tools (Claude Code, GitHub Copilot, Cursor, etc.) to accelerate development and problem-solving KEY RESPONSIBILITIES: - Agent Orchestration: Design, build, and maintain the AI agent orchestration layer — multi-agent dispatch, context window management, anti-hallucination guardrails, progress tracking, crash recovery, audit trails, and inter-agent communication protocols - RAG Pipeline Development: Build and continuously improve the retrieval-augmented generation pipeline — document ingestion from Slack, GitHub, Jira, and Confluence; chunking and embedding strategies; hybrid vector + keyword search; cross-encoder and LLM-based reranking; knowledge graph indexing via LightRAG + Neo4j - Developer Experience & User Interfaces : Build intuitive web applications and developer experiences enabling engineers to interact with AI agents, knowledge systems, validation workflows, observability dashboards, and operational tooling. Experience building modern web applications using React, Next.js, Angular, Vue, or similar frameworks. - Backend Systems: Design and implement distributed services, APIs, event-driven architectures, and microservices powering AI workflows and platform integrations. - AI Services: Design and implement scalable, low-latency AI services powering metadata generation, feature extraction, and knowledge retrieval — ensuring agents have accurate, grounded context at query time - LLM-Powered Tooling: Build LLM-powered developer tooling — automated test plan generation, test case quality auditing, AI-driven failure triage, autonomous knowledge curation after every test run, and intelligent report generation - Agentic AI Deployment: Develop and deploy agentic AI solutions — autonomous agents, multi-agent orchestration frameworks, and LLM-powered workflows — that transform validation operations across hardware teams - Stakeholder Collaboration: Work closely with validation engineers, hardware teams, and engineering peers to translate business and domain requirements into flexible, well-designed software solutions - Security & Compliance: Ensure AI/ML systems comply with security standards and best practices, addressing data privacy and protection concerns across all LLM integrations, RAG pipelines, and credential-handling systems - End-to-End Ownership: Own features end-to-end — from project estimation and architecture review through coding, deployment, and post-launch measurement - Operational Excellence: Build resilient systems with strong observability; implement automated testing, monitoring, and CI/CD pipelines using infrastructure-as-code tools (Terraform); participate in on-call rotations and drive root-cause analysis and reliability improvements - Code Quality: Write clean, well-tested, maintainable code — other engineers and agents depend on what you build; quality directly affects system reliability - Onboarding: Collaborate with validation engineers to translate domain knowledge into agent skills and onboard new product teams onto the platform PREFERRED EXPERIENCE: - Design and implement distributed services, APIs, event-driven architectures, and microservices powering AI workflows and platform integrations. - Experience with the Model Context Protocol (MCP) or agentic platforms (Claude Code, LangGraph, CrewAI, AutoGen) - Familiarity with knowledge graph systems (Neo4j, LightRAG) or graph-augmented RAG - Background in the semiconductor, datacenter, or networking industry — high-level understanding of how hardware validation or firmware development works - Experience with CI/CD systems and automated test infrastructure - Exposure to Slack API, GitHub API, or Atlassian REST APIs - Data Engineering & Analytics: Experience with data pipeline design, ETL workflows, data warehousing, or analytics platforms is a plus ACADEMIC CREDENTIALS: BS or MS Degree in Computer Science, Electrical Engineering, or related field LOCATION: Santa Clara Austin or Seattle or Secaucus LI-KW1 Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
AI Systems Engineer
AI Systems Engineer at welevel GmbH. German games industry role. Company category: Developer. Job category: Tech / Programming. Job type: Full-Time. Added: 06.06.2026.
Machine Learning Engineering Manager, Critical Har...
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY SAFETY? At Roblox, we strive to connect a billion people with optimism and civility, and the Safety organization's mission is to become the leader in civil immersive online communities. We systematically and proactively detect, remove, and prevent problematic content and behavior, and we make Roblox accounts secure and free from compromise. We also keep the platform compliant for changing regulations and growth markets. We cover a broad area of the tech spectrum, including machine learning, experimentation, automation, highly scalable distributed backend systems, detection workflows, and AI-powered text filters. Aligned and partnering with product teams, we use this tool belt to discover new opportunities, influence and shape the product roadmap and prioritization, build safety products, and measure the impact on our community of users and developers. In doing so, we keep Roblox safe, civil, and inclusive, and we foster positive relationships between people around the world. WHY CRITICAL HARMS? As an Engineering Manager on Critical Harms, you’ll lead an engineering team to identify and address some of the highest-risk and most critical problems we face, including rare events with sparse data such as predatory behavior, child endangerment, extremism, fraud. Safety and Civility is Roblox's #1 priority, and our mission is to protect our community. You Will: - Shape and grow a high-performing engineering team. Support engineers, ranging from junior to principal, in their development. - Foster a team culture of collaboration, innovation, and engineering excellence; while getting things done. - Take responsibility for high-scale systems to detect and address problematic content on Roblox. Operate creatively and strategically in a highly adversarial space. - Own the team’s mission and outcomes. Work with stakeholders to define the team’s roadmap, and ensure execution. - Partner with Moderation Operations, PM, Data, and stakeholders across Roblox, to develop innovative solutions that ensure the safety of user-generated content. You Have: - 2+ years of experience as an engineering manager working in ML space - Excellence in collaborating with others, and in developing software engineers. You have demonstrated outcomes of facilitating team success. - A proven track record of technical delivery in high-scale environments with complex constraints - Ability to contribute to architecture and implemen
Director, HPC & Sovereign AI Centers of Excellence
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. Director, HPC & Sovereign AI Centers of Excellence – EMEA Location: Remote based with frequent visits to customer sites. THE ROLE: AMD is seeking an experienced leader to direct our EMEA HPC and Sovereign AI Centers of Excellence organization. This leader will be responsible for a team of computational scientists, AI specialists, and performance engineers supporting the deployment, adoption, and optimization of AMD technologies within leading HPC and Sovereign AI environments across the region. As Director, you will provide technical and organizational leadership for customer-facing engineering activities, working closely with customers, partners, and AMD teams to ensure successful delivery of strategic HPC and AI programs. You will lead a growing team of highly skilled technical experts while helping customers maximize the value of AMD platforms through application enablement, performance optimization, and technical collaboration. KEY RESPONSIBILITIES: - Lead, mentor, and develop AMD’s EMEA HPC and Sovereign AI Centers of Excellence team. - Manage a geographically distributed organization of computational scientists, AI specialists, and performance engineers. - Serve as the senior AMD technical leader for HPC and Sovereign AI customer engagements across the region. - Establish trusted relationships with customer executives, technical leadership teams, and key stakeholders. - Provide oversight for customer programs, ensuring successful execution of technical objectives and customer commitments. - Guide application enablement, performance optimization, benchmarking, and deployment activities on AMD platforms. - Partner with AMD hardware, software, product, and engineering teams to improve customer outcomes and accelerate adoption of AMD technologies. - Support technical content development for proposals, system procurements, and strategic customer initiatives. - Help shape future software enablement and application readiness efforts through close collaboration with customers and AMD development teams. - Represent AMD at customer meetings, technical workshops, and industry conferences. PREFERRED EXPERIENCE: - Proven experience in HPC, AI/ML, scientific computing, and large-scale computing systems, including the deployment, optimization, and adoption of HPC and AI solutions across research, academic, government, or enterprise environment - Demonstrated success leading customer-facing engineering, performance engineering, or technical enablement organizations, including managing and developing geographically distributed teams of highly skilled technical professionals across multiple countries and cultures. - Exceptional communication, presentation, and influencing skills, with the ability to engage credibly with computational scientists, technical leaders, customer executives, and industry stakeholders. - Experience defining and executing organizational strategy, driving operational excellence, and aligning technical teams with business objectives. - Experience supporting AI infrastructure, model training, inference workloads, or AI platform deployment within enterprise, research, or sovereign computing environments. - Proven ability to build trusted relationships with senior customer stakeholders and represent an organization in executive-level technical and business discussions. - Familiarity with large-scale system procurements and proposal development is a plus. ACADEMIC CREDENTIALS: - PhD, Master’s degree, or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, Computational Science, AI/ML, or a related technical discipline. LI-GS1 Hybrid Remote Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Sr Agentic AI Solutions Engineer
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: AMD's Software and Solutions Team is seeking a Senior Agentic AI Solutions Engineer to design, build, and deliver next-generation Agentic AI solutions built on AMD's heterogeneous computing portfolio. Working under the technical direction of AMD's Agentic AI Systems Architecture team, this role drives the hands-on development, integration, and performance optimization of end-to-end AI workflows that leverage AMD CPUs, GPUs, DPUs, networking, and software platforms to deliver secure, scalable, deterministic, and high-performance AI solutions for AMD's most strategic customers. Working across AMD's AI software ecosystem—including AMD + AMD (A+A) and AMD + NVIDIA (A+N) environments—and leveraging ROCm™, AMD Zen Software Studio, AMD Enterprise AI , and AMD's open-source software initiatives, this engineer will translate architectural vision into working customer solutions, reference implementations, and early customer proof-of-concepts (PoCs) across enterprise, cloud, sovereign AI, and edge deployments. Delivered solutions will focus on execution, performance, efficiency, data integrity, and security , including governance, compliance, and AI sovereignty, while providing implementation feedback that helps shape AMD silicon and software roadmaps. This is a deeply hands-on, customer-facing senior individual contributor role focused on solution delivery, technical implementation, and performance engineering. It is not a people management, program management, or alliance management position. THE PERSON: A deep hands-on engineer with strong expertise spanning AI infrastructure, virtualization systems, distributed systems, heterogeneous computing, intelligent data architectures, operating systems, cloud and Neo Cloud environments, networking, security architecture (including secure computing and cryptography), and large-scale AI platform design , complemented by broad experience across modern AI software stacks, enterprise solutions, and software engineering methodologies. This individual has a demonstrated history of delivering complex customer solutions and shipping working systems that span hardware, software, networking, security, and AI frameworks. The ideal candidate understands how frontier foundation models, agentic reasoning systems, orchestration frameworks, intelligent data structures, and heterogeneous compute resources interact to deliver scalable, deterministic, trustworthy, and production-ready AI systems. They thrive in customer-embedded environments where they can turn architectural vision into working code, benchmarks, and customer proof-points leading through technical excellence, deep coding ability, and solution delivery alongside the Fellow-level architect. KEY RESPONSIBILITIES: - Deliver on AMD's Agentic AI technical strategy across enterprise, cloud, sovereign AI, edge, and emerging AI deployment environments, translating architectural vision into working customer solutions, reference implementations, and PoCs. - Build and optimize end-to-end reference solutions that maximize heterogeneous execution across AMD CPUs, GPUs, DPUs, networking, memory, storage, and future accelerator technologies — supporting both AMD + AMD (A+A) and AMD + NVIDIA (A+N) deployment models. - Deliver intelligent multi-agent systems and orchestration frameworks that optimize execution across heterogeneous compute resources while balancing performance, latency, throughput, power efficiency, scalability, and cost. - Optimize Agentic AI execution end-to-end — task decomposition, multi-agent collaboration, workflow scheduling, reasoning pipelines, context management, token and inference efficiency, and resource allocation — balancing performance, cost, energy, security, and quality of service across heterogeneous AI infrastructure. - Implement innovative approaches for data optimization and intelligent data structures that improve retrieval efficiency, knowledge representation, inference performance, memory hierarchy utilization, and overall AI system scalability. - Deliver solutions that improve deterministic AI behavior , reduce hallucinations, and increase reliability, explainability, and trustworthiness of Agentic AI systems through grounding techniques, orchestration strategies, policy enforcement, validation frameworks, and intelligent workflow design. - Build trusted, secure AI solutions incorporating data provenance, data attestation, lineage tracking, governance, compliance, and AI sovereignty , leveraging confidential computing, trusted execution environments, hardware roots of trust, attestation, and cryptographic techniques. - Integrate frontier foundation models with retrieval systems, enterprise applications, orchestration frameworks, edge computing, sovereign AI environments, and hybrid cloud deployments. - Partner directly with strategic customers, hyperscalers, OEMs, ISVs, and open-source communities to embed, deliver, and validate AMD Agentic AI solutions in production-oriented environments, accelerating customer adoption and reference outcomes. - Partner with silicon architecture, software engineering, AI framework, and product management teams to provide implementation- and customer-driven feedback that informs future AMD silicon, software, and platform roadmaps. PREFERRED EXPERIENCE: - Strong hands-on experience delivering large-scale AI infrastructure, distributed AI systems, cloud-native AI platforms, or enterprise AI solutions across heterogeneous computing architectures spanning CPUs, GPUs, DPUs, networking, storage, memory subsystems, virtualization, and cloud infrastructure. - Strong understanding of modern AI software ecosystems, including ROCm™, AMD Enterprise AI, AMD Zen Software Studio , frontier foundation models, LLM inference, Retrieval-Augmented Generation (RAG), vector databases, model serving, and AI orchestration frameworks. - Hands-on experience delivering Agentic AI solutions — multi-agent collaboration, orchestration frameworks, autonomous reasoning, planning, workflow optimization, and intelligent task execution. - Deep hands-on expertise in data optimization , intelligent data structures, knowledge representation, vector databases, and retrieval architectures supporting enterprise-scale AI systems. - Strong expertise in AI performance engineering — latency optimization, throughput, token efficiency, inference scalability, workload scheduling, and heterogeneous resource utilization. - Experience delivering methodologies that improve AI reliability through deterministic execution, hallucination mitigation, grounding, explainability, and trusted AI outcomes; working knowledge of confidential computing, trusted execution environments, attestation, data provenance , and enterprise AI security. - Deep hands-on coding ability with strong programming skills in Python, C, C++ and comfort in performance-critical code paths, profiling, and optimization. - Background as a solutions engineer, applications engineer, or technical consultant at a major systems or platform company (e.g., HP, Dell, or comparable) or a top-tier consulting/integration organization is a strong plus. Excellent written and verbal communication; comfort embedding with customer engineering teams and presenting to senior customer stakeholders. ACADEMIC CREDENTIALS: - Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Artificial Intelligence, Data Science, or related field preferred; advanced degree desired. ALTERNATE LOCATION: - Santa Clara, CA This role is not eligible for visa sponsorship. LI-TB1 LI-Hybrid Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Head of AI Engineering Productivity, Global Cluste...
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: AMD is seeking a visionary Head of AI Engineering Productivity to lead AI enablement and accelerate the adoption of agentic systems across software and hardware engineering workflows. This role is an individual contributor role and sits at the apex of AMD’s cluster innovation, driving step-function agentic improvements in how software is built, hardware is validated, and decisions are made. THE PERSON: The ideal candidate is a visionary leader who can define and execute a roadmap to operationalize cutting-edge AI across engineering, cluster validation, and delivery, turning emerging technologies into scalable, high-impact systems that power productivity. They thrive in highly collaborative environments and partner deeply with engineering, research, product, and business teams to embed AI into daily workflows, unlock new capabilities, and help reshape how AMD brings clusters to some of the most exciting businesses in the world. KEY RESPONSIBILITIES: - Define and execute AMD’s AI enablement strategy across software engineering, hardware development, validation, operations, and business functions. - Lead the adoption of AI copilots, autonomous agents, and intelligent workflows throughout the engineering lifecycle. - Deploy agentic systems that autonomously triage issues, route work, and propose solutions across large-scale engineering environments. - Build scalable AI platforms, APIs, frameworks, and services that accelerate safe and effective AI adoption across teams. - Establish best practices for AI model integration, evaluation, deployment, governance, and operationalization. - Develop reusable agent frameworks that support tool orchestration, memory management, workflow automation, and customization. - Identify opportunities to replace manual processes with intelligent, AI-driven workflows that improve efficiency and scalability. - Drive measurable improvements in engineering productivity, developer velocity, hardware validation cycles, and organizational effectiveness. - Enable AI-powered capabilities such as documentation generation, onboarding assistants, knowledge retrieval, and workflow automation. - Transform internal support functions through conversational agents capable of executing tasks across business operations. - Partner with engineering, research, infrastructure, and product leaders to identify priorities and accelerate AI adoption. - Collaborate with external partners, model providers, infrastructure vendors, and open-source communities to incorporate best-in-class technologies. - Optimize AI platform performance, inference efficiency, and operational cost at scale. - Evaluate emerging AI ecosystems, multimodal models, development tools, and agentic technologies to guide strategic investments. PREFERRED EXPERIENCE: - An individual contributor with deep expertise in AI/ML systems, Large Language Models (LLMs), agentic architectures, modern AI tooling, AI-native developer workflows, AI copilots, autonomous agents, and intelligent workflow systems. - Hands-on experience with agent frameworks, tool use, orchestration systems, memory architectures, evaluation systems, model integration, model evaluation, and model deployment. - Experience delivering platform-level products and production-ready AI solutions within large-scale engineering organizations. - Expertise implementing intelligent automation solutions, including automated bug triage, issue routing, workflow automation, intelligent task execution, AI-powered documentation generation, onboarding assistants, knowledge retrieval systems, and conversational AI. - Experience optimizing inference performance, AI infrastructure, scalability, operational efficiency, and deployment costs at enterprise scale. - Knowledge of multimodal models, emerging AI ecosystems, open-source AI communities, agent technologies, and developer productivity tools. - Proven track record delivering complex technology platforms at scale and driving cross-organizational transformation initiatives across engineering, research, product, infrastructure, and business organizations. - Ability to operate at both strategic and hands-on levels while translating emerging AI capabilities into measurable business impact. ACADEMIC CREDENTIALS: - Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Artificial Intelligence, Machine Learning, Software Engineering, or a related technical field; Master’s, PhD degree preferred. LOCATION: Seattle, WA, or Santa Clara, CA or Austin, TX This role is not eligible for visa sponsorship. LI-TL1 Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Sr Product Manager-Data Center GPU & AI Infrastruc...
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: The Sr. Product Manager will lead AMD’s networking and storage ecosystem strategy for Data Center GPUs and AI infrastructure. Drive partner engagements, influence product direction, align industry roadmaps, and accelerate adoption of AMD Instinct solutions across the AI ecosystem. THE PERSON: The ideal candidate is a strategic and self-motivated leader with deep expertise in networking, storage, optics, AI infrastructure, and data center technologies. Strong business acumen, relationship management skills, and the ability to influence partners, customers, and internal stakeholders in a fast-paced environment. KEY RESPONSIBILITIES: - Own strategic networking and storage ecosystem partnerships. - Align partner and AMD roadmaps to drive business and technology objectives. - Represent AMD with ecosystem partners, standards organizations, and industry forums. - Translate customer, partner, and market requirements into product strategy. - Lead ecosystem planning, technology evaluations, and cross-functional initiatives. - Engage hyperscalers, cloud providers, OEMs, and system partners to shape future solutions. - Drive partner enablement, product evangelism, and ecosystem growth. PREFERRED EXPERIENCE: - Experience in networking, storage, optics, and large-scale data center architectures. - Strong understanding of AI workloads, GPU platforms, and AI infrastructure. - Experience with industry standards organizations (IEEE, SNIA, etc.). - Background in product management, system architecture, or system engineering. - Proven ability to influence senior stakeholders and drive strategic initiatives. - Excellent communication, presentation, and relationship management skills. ACADEMIC CREDENTIALS: - BS or MS in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field. LOCATION: - Santa Clara, CA and Austin, TX preferred - Other locations may be considered for the right candidate LI-EV1 LI-HYBRID Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Python Developer – AI Operations
Established in 2004, we are a tech pioneer offering world-class adult entertainment and games on some of the internet’s safest and most popular platforms. With the support of an international team of dynamic and collaborative innovators, we are on a mission to enable safe user experiences and empower our communities by celebrating diversity, inclusion, and expression — all while maintaining robust trust-and-safety protocols. We embrace the best of both worlds! Local talent can thrive in our collaborative office space with the flexibility of a hybrid work environment, while remote team members play an integral role in shaping our dynamic culture from afar. We have offices in Montreal (Quebec), Austin (Texas) and Nicosia (Cyprus). *A select number of positions require full-time in office attendance* I f you're a Python Developer with a passion for AI and Large Language Models and want to get the chance to work on cutting-edge AI-powered products and intelligent automation systems, then keep reading. As a key member of the AI Operations team, you will hav e a mandate to take part in all stages of the AI product development life cycle, from ideation and prototyping through to production deployment. What You'll Be Doing: - Design, implement, and deploy new AI features, LLM-driven modules, and intelligent product and process - Maintain and improve existing AI-powered systems and internal automation pipelines, and support internal stakeholder requests <span class="EOP Selected SCXW70621210 BCX8" data-ccp-props="{"335559737":0,"335572071":4,"335572072":0,"335572073":0,"335572075":4,"335572076":0,"335572077":0,"335572079":4,"335572080":0,"335572081":0,"335572083":
Embedded AI/ML Software – Technical Marketing Engi...
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: AMD’s Adaptive Embedded Compute Group (AECG) builds products that blend powerful, energy-efficient processors, advanced neural engines and graphics processors, and adaptive embedded compute with programable logic to build edge computing solutions. From autonomous vehicles and industrial robotics to smart healthcare devices, AMD AECG is redefining intelligent edge computing. This role supports AMD’s embedded AI software strategy for x86 APUs, spanning ROCm and Ryzen AI Software. THE PERSON: AMD’s AECG group is looking for an Embedded AI/ML Software Technical Marketing Engineer who can drive end-to-end software enablement for AMD embedded AI platforms. This role centers on planning, cross-functional alignment, and integrating ROCm and Ryzen AI Software components into cohesive, production-ready solutions for embedded markets. KEY RESPONSIBILITIES: - Customer-Facing Content for Reference Applications - Translate internal reference designs for AMD Embedded APUs into customer-ready technical training and reference designs - Articulate system-level value propositions language that sales and partners can confidently use with Embedded AI customers - Develop “what to say to customers” guidance, including embedded system deployment, architectural tradeoffs, and design best practices - Sales and Field Enablement - Partner closely with sales, FAEs, and solutions engineers to ensure consistent, accurate, and compelling messaging for AMD embedded AI software solutions - Create and maintain enablement assets such as pitch decks, whitepapers, FAQs, competitive positioning, and architectural overviews - Support strategic customer and partner engagements by providing deep technical context and architectural guidance when needed - Technical Training - Design and deliver high-impact technical training for internal audiences (sales and FAEs) covering AMD embedded AI software solutions, including ROCm and Ryzen AI Software - Deliver external technical training for ODMs and end customers, tailoring content for varying levels of technical depth - Build modular, reusable training content (slides, diagrams, labs, recordings) that can be scaled globally - Cross-Functional Collaboration - - Work closely with technical sales, application teams, product management, and engineering teams to stay aligned with current and future reference designs, software roadmaps, and platform direction for AMD embedded AI solutions - Provide structured feedback from the field to influence future reference architectures, documentation, and software stacks - Ensure technical accuracy, consistency, and quality across all published customer-facing materials PREFERRED EXPERIENCE: - Strong understanding of embedded APU AI software stacks, including ROCm and Ryzen AI Software, across Linux and Windows environments - Hands-on experience implementing AI/ML and high-performance compute workloads on heterogeneous compute platforms - Experience with embedded systems, AI software integration, and heterogeneous compute platforms is highly desirable - Confidence in presenting complex technical material to technical sales and customers - Strong cross-functional communication and dependency management skills with attention to detail - Experience in software integration, program planning, or technical project coordination ACADEMIC QUALIFICATION: - BS in Computer Science, Computer Engineering, or Electrical Engineering. MS or PhD is a plus Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Staff Software Development Engineer - AI Profiler...
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: AMD is looking for an influential software engineer who is passionate about improving the performance of key applications and benchmarks . You will be a member of a core team of incredibly talented industry specialists and will work with the very latest hardware and software technology. THE PERSON: The ideal candidate should be passionate about software engineering and possess l eadership skills to drive sophisticated issues to resolution. Able to communicate effectively and work optimally with different teams across AMD. KEY RESPONSIBILITIES: - Collaborate with architecture, driver, and runtime teams to enable profiling for next-generation AMD GPUs involved in Pre Silicon and Post Silicon activities. - Create test tools, test plans, and write automated scripts with the help of AI tools to validate new silicon features - Design, develop, and maintain ROCprofiler-SDK components for GPU performance profiling - Implement new features and APIs to enhance profiling capabilities for AI and HPC workloads - Optimize profiling tools for accuracy, scalability, and minimal overhead - Debug and resolve issues in profiling workflows and improve tool reliability - Participate in hardware bring-up and ensure profiling support for new ASICs - Stay current with GPU architecture advancements and integrate them into ROCm profiling tools PREFERRED EXPERIENCE: - Strong proficiency in C++ and object-oriented programming - Experience with performance analysis tools or profiling frameworks - Familiarity with GPU programming models (HIP, OpenCL, or CUDA) - Understanding of GPU architecture and system-level performance concepts - Knowledge of Linux development environments; Windows experience is a plus - Familiarity with ROCm ecosystem and tools is highly desirable - Strong problem-solving skills and ability to work independently and in a team - Experience with modern concurrent programming and threading APIs - Experience with software development processes and tools such as debuggers, source code control systems (GitHub) and profilers is needed - Motivating leader with good interpersonal skills ACADEMIC CREDENTIALS: - Bachelor’s or M aster's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent This role is not eligible for visa sponsorship. LI-CJ3 LI-Hybrid Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Manager II, Engineering - Applied AI (NorAm)
Datadog's Applied AI group builds AI foundations and AI-powered features across the Datadog platform. We train ML models, build agents, and ship natural language interfaces that help thousands of customers detect problems, investigate incidents, and act on their infrastructure. Our teams work with some of the world's richest observability data, hundreds of trillions of data points per day, to build production AI at real scale. Our work spans ML models, agentic systems, conversational AI, foundation models, and the infrastructure that supports them. As a Manager II, you will lead multiple teams of engineers, applied scientists, and managers in this space. You own the technical direction and the team culture. You drive work from research through production, partner with product to set priorities, and help shape how Datadog uses AI to close the loop between detecting a problem and fixing it. At Datadog, we place value in our office culture—the relationships and collaboration it builds and the creativity it brings. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: - Lead and grow multiple teams of engineers, applied scientists, and managers working on AI-powered features across the Datadog platform - Set technical vision and strategy for your area in partnership with Product - Ship AI products end-to-end, from data pipelines and model training through evaluation, deployment, and production operations - Coach and develop senior engineers and managers, building a culture of high performance, psychological safety, and clear feedback - Drive collaboration across Applied AI, product, and partner engineering teams to deliver on Datadog's AI priorities - Build evaluation and quality practices for AI systems, offline benchmarks, online metrics, and continuous improvement loops - Own operational excellence for your teams' systems: reliability, on-call, incident response, and technical quality - Hire and plan for organizational growth as the AI group scales - Help shape Datadog's broader AI roadmap and promote best practices in ML engineering and career development across the organization Who You Are: - An experienced technical leader with a strong background in AI, machine learning, or data science - Proven track record building and shipping ML or AI-powered products in production - Experience leading and mentoring multiple teams, including senior engineers and engineering managers - Deep technical expertise in one or more areas: large language models, agentic systems, anomaly detection, time-series modeling, NLP, retrieval-augmented generation, or ML infrastructure - Comfortable partnering with Product to set vision and strategy, and turning ambiguous problems into clear plans - A strong people manager who can attract, develop, and retain top AI and engineering talent - BS/MS/PhD in Machine Learning, Computer Science, Engineering, or related field, or equivalent professional experience Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth:<
AI Cluster Validation Engineer
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: We are looking for a Senior Engineer to drive validation of next-generation AI cluster solutions. In this role, you will be at the forefront of optimizing GPU cluster, working across the full system stack to ensure our solutions meet the demanding requirements of large-scale AI workloads. The primary focus of this role is on the RDMA fabric at the heart of these systems. Understanding data flows between GPUs, NICs, and the cluster network to optimize performance at scale. The ideal candidate brings strong expertise in GPU architectures, parallel computing, and hands-on experience validating complex, high-performance systems. This is a high-impact engineering role for someone who thrives at the intersection of hardware, networking, and systems software and who wants to shape the performance and reliability of AI infrastructure at scale. THE PERSON: You are a seasoned engineer who thrives on hands-on problem-solving. Equally comfortable shaping long-term strategy and diving deep into complex hardware, firmware, and driver issues. You communicate clearly across teams, take full ownership of your work, and bring the drive and work ethic to see tough problems through to resolution. Our team is built on a culture of technical innovation and continuous career development, where your impact will be felt across performance, automation, and development. KEY RESPONSIBILITIES: - Scalability Testing: Evaluate GPU cluster scalability through rigorous testing across diverse workloads, cluster sizes, configurations, and networking technologies including RoCE. - Benchmarking & Performance Profiling: Develop and execute comprehensive benchmarking strategies to establish performance baselines, identify bottlenecks, and generate actionable insights for improvement. - Performance Tuning: Implement optimization strategies across protocol enhancements, load balancing, and parallel processing to drive measurable gains in RDMA throughput, latency, and collective communications. - NIC & Cluster Optimization: Collaborate with hardware and software teams to enhance GPU cluster performance end-to-end, with a focus on the NIC-to-network data path. - Cross-functional Collaboration: Partner closely with hardware engineers, software developers, and system architects to integrate performance improvements into cluster architecture. - Documentation: Produce clear, detailed documentation of performance analysis, tuning methodologies, and outcomes for both internal teams and senior stakeholders. - Continuous Learning: Stay current with advances in GPU architectures, parallel processing, and emerging networking technologies to inform ongoing improvement efforts. PREFERRED EXPERIENCE: - Proven experience in optimizing the performance of GPU clusters. - RDMA network configuration, troubleshooting and performance tuning. - Strong understanding of GPU architectures, parallel computing concepts, and network protocols. - Proficiency in scripting languages (e.g., Python, Bash) for automation and performance analysis. - Experience with system level performance analysis tools and methodologies for GPU clusters. - Analytical mindset with excellent problem-solving and debug skills. - Excellent communication and collaboration skills for effective teamwork. ACADEMIC CREDENTIALS: - Bachelors or M asters degree in electrical or computer engineering preferred LOCATION: Austin, TX, Santa Clara CA, Seattle WA, Secaucus NJ This role is not eligible for visa sponsorship. LI-SC3 Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Product Manager, Growth AI Outreach Motion
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Growth team owns the Stripe product-led growth motion for self-serve customers, primarily startups and SMBs. We're responsible for acquiring, onboarding, and growing every business in the world on one or more Stripe products. The team works across the full user lifecycle (signup, onboarding, activation, expansion, and retention) and sits at the intersection of product, data science, engineering, design, marketing, and AI and ML. We're directly accountable for topline self-serve revenue. What you'll do The largest Stripe customers get a dedicated product specialist who understands their business, recommends the right products, and guides them through onboarding and expansion. This role exists to bring that same quality of guidance to every Stripe user, leveraging AI, at scale. You'll define and build the experience that delivers personalized guidance leveraging AI across the full user journey, from first question through activation and expansion. Inbound users range from early-stage startups picking their first product to larger prospects who need a sales engagement. Your system must match each user to the right path and ensure no one falls through the cracks. Stripe has strong building blocks in this area (product recommendations, onboarding flows, merchant context, and outreach infrastructure), but no unified motion tying them together. Your role is to define the AI specialist motion, ship it, and own the revenue it generates. You'll start with inbound prospects, then extend into onboarding, cross-sell, and outbound, building a system where each interaction makes Stripe smarter about what a business needs and when. Responsibilities - Define the AI specialist—what it knows, how it engages, where it draws the line, and when it hands off. Own the product vision, strategy, and roadmap. - Launch and scale the inbound motion across chat, voice, and email for prospects and new users seeking help with products, pricing, and getting started. Drive rapid iteration on answer quality and resolution rates. - Build the triage and qualification layer. The AI specialist must assess the user it is engaging with, understand the size and complexity of the opportunity, and route accordingly, guiding smaller users through their full journey while qualifying larger prospects and handing them to sales with rich context. - Define escalation paths to the vendor support team and sales team. Ensure that handoffs are seamless, context is preserved, and no user interaction is left unresolved. - Scale past the first interaction into onboarding and cross-sell, leveraging existing Stripe product recommendation, merchant context, onboarding systems, and outreach platform to help users activate products, discover new ones, and grow their usage of Stripe. - Own the revenue this motion produces. Define success metrics and maintain accountability from conversion through expansion, including pipeline generated through AI-qualified leads. - Partner with engineering, AI and ML, design, data science, marketing, sales, and support to execute at pace while maintaining the Stripe bar for quality and trust.</li&
Principal AI Performance Engineer - LLM Inference...
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: AMD is looking for a performance-obsessed engineer to drive AI inference performance to the absolute limit on AMD GPUs, with SGLang as the primary serving framework. You will lead a small, highly technical team and work end-to-end across the stack: profiling, diagnosing, and optimizing leading models running on SGLang across customer-relevant serving configurations (e.g. agentic coding, long-context, high-throughput serving). You move from challenge to challenge, tackling the hardest performance problems across our most strategic customer engagements and leaving behind measurable uplifts and reusable methodology. This is not a sustaining role: every engagement is different, every optimization leaves a lasting impact. THE PERSON: You can take any AI workload, understand it top to bottom, and make it faster on SGLang. You know the framework's internals intimately: RadixAttention and prefix caching, the scheduler and continuous batching loop, the SGLang runtime and its interaction with the AMD backend, and the paths that connect a user request down to the GPU kernel. You are equally comfortable profiling a distributed SGLang deployment, diagnosing a kernel-level bottleneck, and presenting optimization results to a customer's VP of Engineering. You understand GPU kernel performance deeply: not just how to use profiling tools, but how to reason about occupancy, cache behavior, memory coalescing, and instruction-level bottlenecks from first principles. You lead through technical depth: you set the standard for your team by doing the hardest work yourself and pulling others up along the way. You are AI-fluent, not just in the models you optimize, but in how you work: you leverage AI agents and tools daily to accelerate your workflows, and you actively define new ways of using them to make yourself and your team more effective. You thrive under pressure, move fast, and measure everything. KEY RESPONSIBILITIES: - Drive performance optimization end-to-end on SGLang across leading models and customer-relevant serving configurations, closing competitive gaps through kernel and systems-level optimizations - Profile, diagnose, and resolve the hardest cross-stack performance bottlenecks in SGLang deployments, from GPU kernels and operator dispatch to the SGLang scheduler, RadixAttention/prefix caching, and multi-node communication - Diagnose kernel-level performance issues using profiling tools: identify occupancy limitations, L2 cache thrashing, register pressure, memory coalescing issues, etc, and translate findings into actionable optimizations - Lead customer-facing technical engagements: present findings, recommend optimizations, and deliver measurable performance uplifts on SGLang - Integrate and optimize custom kernels (Triton, Gluon, CK, PyDSL, ASM, AITER) within SGLang, understanding dispatch paths, shape extraction, and backend selection - Optimize multi-node distributed inference on SGLang: communication-compute overlap, parallelism strategies (TP/EP/DP), and scale-out performance - Develop and refine shared performance optimization methodology that raises the bar across the broader team - Leverage AI agents to accelerate daily work and define best practices for AI-assisted performance engineering - Upstream optimizations into SGLang and adjacent open-source frameworks such as vLLM and PyTorch PREFERRED EXPERIENCE: - 7+ years of software development experience in GPU computing, AI systems, or high-performance computing - Deep hands-on experience with SGLang internals; familiarity with vLLM, TensorRT-LLM, or similar is a plus - Strong background in end-to-end workload profiling and bottleneck diagnosis: you can trace from user request through the SGLang runtime to the GPU kernel and back - Understanding of GPU kernel performance characteristics: occupancy, register and LDS pressure, memory coalescing, cache utilization, wavefront scheduling, and instruction-level bottlenecks - Ability to read and reason about kernel-level profiling data and translate it into concrete optimization actions. You may not write kernels from scratch daily, but you can tell exactly why one is slow and what needs to change - Understanding of model architectures (transformers, MoE, diffusion), inference paradigms (speculative decoding, prefill-decode disaggregation, continuous batching), and how they map to hardware and to SGLang's execution model - Experience with custom kernel development or integration (HIP, CUDA, Triton, CK, or similar) - Understanding of multi-GPU and multi-node distributed systems: scale-up and scale-out topologies, RCCL/NCCL, RDMA, and communication-compute overlap - System and rack-level design awareness: understanding performance tradeoffs across the full deployment stack - Strong proficiency in Python and C++ - Customer-facing technical leadership experience: ability to engage with customers, present findings, and drive decisions - Fluent in AI-assisted development: daily user of AI agents and tools, with a mindset toward defining new AI-powered workflows - Strong Linux systems knowledge - Excellent written and verbal English communication skills ACADEMIC CREDENTIALS: Master's, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent. Advanced degree preferred but exceptional industry experience valued equally. LOCATION: Helsinki, Finland; Stockholm, Sweden or Cambridge, U.K. LI-MH3 LI-HYBRID Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
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