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Product Owner, DevX and AI — Shop Builder
ABOUT YOU We are looking for a Product Owner, DevX and AI who is developer-obsessed, systems-minded, and energized by building platforms that other builders rely on — to join our Shop Builder team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to own a roadmap that directly shapes how publishers and developers integrate, extend, and monetize through Xsolla. Strong analytical skills and technical expertise are essential, along with experience in developer-facing products, APIs, SDKs, or platforms where other builders are your customer. The ability to translate developer friction into sequenced roadmap decisions and manage cross-functional dependencies will be key to your success in this role. If you’re passionate about advancing developer experience and love building innovative API surfaces and AI-native tooling that give game developers the power to build and monetize however they want, we would love to hear from you! ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. What We’re Building Shop Builder is Xsolla’s storefront platform, used by publishers and game developers to launch and operate game shops, from straightforward catalog and webshops to fully custom storefronts built headless on our backend. The platform is built around a core commitment: publishers can run their business how they want, with their brand, their frontend, and their integrations. Delivering on that commitment requires a deep developer layer that enables our partners to monetize their games however they want to. The DevX and AI team owns the public APIs, documentation, and AI features that give developers, and AI agents, the full surface they need to customize and extend the platform. This team enables publishers to build what they need independently, and accelerates our own teams who deliver custom integrations for clients. Responsibilities - Own the roadmap. Decide what gets built, in what order, and why. Maintain a clear rationale the team and stakeholders can rely on. - Represent developers. Engage directly with partners, agencies, and the teams who build on Shop Builder’s APIs. Surface their friction and translate it into product requirements. - Define API shape and scope. Collaborate with engineers to specify what each API surface exposes, what it withholds, and what format developers and agents expect. - Coordinate across teams. The APIs this team ships depend on teams across Xsolla, including payments, auth, catalog, and live ops. Own those relationships and keep them moving. - Set the definition of done. Documentation, evals, developer experience quality, and partner feedback are part of shipping — not afterthoughts. Qualifications & Skills - 4+ years of product experience, with meaningful time spent on developer-facing products, APIs, SDKs, developer tooling, or platforms where other builders are your customer. - Software development background, with time writing and shipping code to production systems. You understand what makes a developer experience work, and you hold that standard in specs, reviews, and tradeoff conversations. - Genuine interest in the craft of developer experience: reading and debating API contracts, sweating the details of an SDK interface, understanding why a CLI flow breaks down, and finding the friction points developers hit before they say anything. - Comfort with a fast-moving domain. AI-native development is changing quickly, and you’ll need to make good prioritization calls without waiting for the picture to fully settle. - Systems thinking. You understand second-order consequences and can articulate your reasoning clearly to engineering and business leadership. - Experience with AI-native developer workflows (MCP, agents, LLM-integrated tooling) is a meaningful advantage. This team builds for AI as a first-class user of the platform. Why This Team Publishers expect control. They want their storefront to reflect their brand, integrate with their stack, and adapt to how they operate. The developer surface this team owns is what makes that possible at scale. AI is accelerating what’s possible here faster than most platforms are moving. Agents that can build and deploy a working webshop from a prompt are on the near-term roadmap. The team is well-positioned to lead this, and the PO role is central to making it land well. You’ll join a team with real momentum, take on meaningful ownership quickly, and have direct visibility to engineering and business leadership. Benefits We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. Equal Employment Opportunity Statement Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act. Criminal History Consideration For the Product Owner, DevX and AI — Shop Builder position, we will conduct a background check that may include the following: - Criminal history check - Employment verification - Education verification Relevance to Job Responsibilities The background check is relevant to this position because of the following role responsibilities: - Accessing confidential company data and proprietary platform systems - Managing partner and publisher relationships involving sensitive integration data - Ensuring compliance with regulatory requirements Rights Under the Fair Chance Act Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com. By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Principal Engineer — DevX & AI
ABOUT YOU We are looking for a Principal Engineer to take architectural ownership of the agent-readable Shop Builder platform. This is the most senior individual contributor role on the DevX and AI team, and the decisions you make here — which surfaces to expose, which formats to support, which standards to set — will bind the platform for years. You are not a manager, but your influence is org-wide. You define how developers and AI agents interact with Shop Builder's foundational capabilities: UI as Data, custom blocks, themes, data binding, catalog, payments. You are the technical authority on what the platform exposes and how, and you are deeply hands-on with the hardest parts of that work. ABOUT US Xsolla is a global payments and commerce platform for the games industry, used by thousands of publishers to monetize, distribute, and operate their titles worldwide. Shop Builder is Xsolla's storefront platform — used by publishers and game developers to launch and operate game shops, from straightforward catalog and webshops to fully custom storefronts built headless on our backend. For more information, visit xsolla.com. The DevX and AI team owns the public APIs, documentation, and AI features that give developers — and AI agents — the full surface they need to customize and extend Shop Builder. This is a net-new team of seven, standing up to fill a real gap: no dedicated team has owned the developer surface end to end. That changes now. Responsibilities - Own the technical architecture of the agent-readable Shop Builder platform: which APIs to expose, in what shape, through which surfaces (REST, SDK, MCP, CLI). - Define the interface contracts that LLMs and developers interact with — React component APIs, custom block schemas, theme tokens, data binding formats — and maintain them with the rigor of a public API. - Design and lead delivery of the MCP server that allows AI agents (Claude Code, Cursor, etc.) to build, deploy, and operate Shop Builder storefronts end-to-end without the editor in the loop. - Architect the CLI and local development environment: how developers scaffold projects, iterate locally, preview changes, and push to production. - Define the deploy, versioning, and rollback model for developer-published content — custom blocks, themes, and layouts. - Design the sandbox and preview environment system so agents and developers can iterate without touching live partner sites. - Set the documentation standard: written for LLMs and humans as first-class users, maintained from single canonical sources and published to every surface (CLI help, dev docs, MCP tool descriptions, AI context). - Lead the eval harness architecture: how the team measures whether an LLM-generated block, theme, or layout is correct before it ships. - Collaborate with Principal/Staff Engineers across payments, auth, live ops, and catalog to pull inbound capabilities into coherent developer-facing surfaces. - Serve as the technical bar-raiser for the team: define code standards, review critical implementation decisions, and mentor the Tech Lead and engineers. - Contribute to hiring and define the technical culture of the team from day one. Qualifications & Skills - 10+ years of professional engineering experience, with a demonstrated track record as a Staff or Principal engineer who has shaped platforms, APIs, or developer tooling used by external builders. - Deep expertise in designing and shipping public APIs and SDKs, including versioning strategy, backwards compatibility, and developer ergonomics — strong opinions about what makes an API delightful vs. painful. - Expert-level proficiency in JavaScript/TypeScript and React — the primary interface language for LLMs and developers on this platform. - Hands-on experience building CLI tooling and local developer workflows (scaffolding, hot reload, file-based config, deploy commands). - Solid understanding of the Model Context Protocol (MCP) or equivalent agentic tool-use interfaces, and practical experience building tools that AI agents can reliably invoke. - Experience building systems at global scale on cloud infrastructure (AWS or GCP), with deep knowledge of containerization, CI/CD, and infrastructure-as-code. - Ability to write and reason about LLM-friendly documentation and API surfaces: you understand that token-efficiency, predictability, and schema clarity matter as much as human readability. - Exceptional technical communication: clear RFCs and ADRs, productive architecture reviews, and the ability to explain second-order consequences to engineering and business leadership. - Comfort operating in a greenfield context — you define the structure rather than inherit it. Nice to Have - Prior experience in game tech, digital commerce, or storefront platforms — understanding the publisher/developer relationship and headless vs. hosted deployment patterns. - Experience building platforms where AI agents are a first-class user: MCP servers, LLM tool registries, agent eval pipelines. - Familiarity with Figma's plugin/component API, design token standards, and design-to-code pipelines. - Contributions to open-source developer tooling, SDK frameworks, or API standards. - Background in block or extension marketplace design: sandboxing third-party code, schema validation, publisher ecosystems. - Published technical writing, conference talks, or influential community presence in developer tooling or AI-native development. Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act. Criminal History Consideration: For this role, we will conduct a background check that may include the following: - Criminal history check - Employment verification - Education verification Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: - Accessing confidential company data - Ensuring compliance with regulatory requirements - Handling sensitive financial information/managing budgets/accessing funds Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com .
Engineering Manager, Data
ABOUT YOU You are a strategic and hands-on Engineering Manager with deep expertise in data platforms and machine learning systems. You will lead a distributed team of data engineers, ML engineers, and data scientists delivering the recommendation engines, personalization systems, and data infrastructure that power products used by millions of players worldwide. The ideal candidate is a collaborative leader with strong technical foundations and a proven track record of shipping end-to-end ML systems into production. You hold the bar high for what gets shipped: reliable pipelines, reproducible models, thoughtful feature engineering, and observability built in from the start. You know how to connect model performance to real business outcomes, and you bring a low-ego, people-first approach to cross-functional work. If you're passionate about building the data and ML foundation that drives a growing global gaming platform, and want to shape how millions of players discover and engage with games, we'd love to hear from you. ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com . Responsibilities: - Lead and grow a high-performing, distributed team of data scientists, ML engineers, and data platform engineers. - Define and execute the data science and ad tech roadmap, advancing initiatives in user modeling, campaign optimization, targeting, and personalization. - Architect and manage ML pipelines and experimentation frameworks, including feature engineering, training pipelines, model serving, A/B testing, and causal inference systems. - Oversee real-time pipelines for ad events (e.g., impressions, clicks, conversions), enabling responsive attribution and performance optimization. - Collaborate with Product, Growth, and Marketing to develop audience scoring, LTV/churn models, and incrementality testing for media measurement and bidding efficiency. - Ensure scalable, privacy-compliant data infrastructure aligned with GDPR, CCPA, and ATT, including support for SKAdNetwork, CMPs, and identity frameworks. - Foster engineering excellence with a focus on reproducibility, model evaluation, observability, and model lifecycle management. - Drive a strong feedback loop between experimentation and business outcomes, translating data science insights into product and go-to-market wins. - Mentor engineers and scientists on career development, technical depth, and cross-functional leadership. Qualifications & Skills: - 5+ years of experience in software/data engineering or applied data science, with 3+ years managing technical teams in ML, analytics, or ad tech domains. - Deep understanding of machine learning and statistical modeling, including regression, classification, causal inference, uplift modeling, and forecasting. - Hands-on experience with ML/data platforms such as Snowflake, BigQuery, Spark, Airflow, dbt, MLFlow, and feature stores. - Proven experience in architecting and deploying end-to-end ML systems into production (batch and real-time). - Knowledge of ad tech ecosystems, including campaign hierarchies, attribution models (multi-touch, view-through), and creative performance tracking. - Familiarity with audience management, segmentation, and personalization frameworks in programmatic or CRM marketing. - Experience with privacy-preserving measurement, including support for SKAdNetwork, GAID/IDFA deprecation, and consent systems. - Excellent leadership, communication, and stakeholder management skills across technical and non-technical audiences. - Bachelor’s or Master’s in Computer Science, Engineering, Statistics, or a related field. PhD is a plus. Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act. Criminal History Consideration: For the Engineering Manager, Data, we will conduct a background check that may include the following: - Criminal history check - Employment verification - Education verification Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: - Working with vulnerable populations - Accessing confidential company data - Ensuring compliance with regulatory requirements Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com. By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants . Please direct any inquiries regarding your data privacy to careers@xsolla.com .
Data Scientist
ABOUT YOU We are looking for a data-driven problem solver who thrives at the intersection of engineering and science. You have strong ownership and work autonomously in fast-paced environments, balancing velocity with reliability. As a collaborative mentor, you raise the bar for team quality and discipline while translating complex technical concepts into business value. You're passionate about building scalable solutions and have excellent cross-functional communication skills that bridge engineering and business stakeholders. ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com . Responsibilities: - 1. Architecture & Development - Design, build, and optimize data pipelines and ETL workflows in Snowflake using Snowpark, Streams/Tasks, and Snowpipe. - Develop scalable data models, Algorithm supporting user 360 views, churn prediction, and recommendation engine inputs. - Lead integration across data sources: MySQL, BigQuery, Redis, Kafka, GCP Storage, and API Gateway. - Implement CI/CD for data pipelines using Git, dbt, and automated testing. - Define data quality checks and auditing pipelines for ingestion and transformation layers. - 2. Leadership & Collaboration - Mentor and guide junior data engineers on data modeling, performance tuning, and Snowflake best practices. - Partner with Data Science, ML, and Backend teams to productionize machine learning features in Snowflake. - Work closely with Legal, Security, and Infrastructure teams to ensure compliance, privacy, and governance of user data (PII). - Collaborate with the Director of Data Platforms and product stakeholders to translate business requirements into technical specifications. - 3. Performance & Scalability - Tune algorithm performance. - Establish data partitioning, clustering, and materialized views for fast query execution. - Build dashboards and monitors for pipeline health, job success, and data latency metrics (e.g., via Looker, Tableau, or Snowsight). - 4. Governance & Best Practices - Establish and enforce naming conventions, data lineage, and metadata standards across schemas. - Lead code reviews, enforce documentation standards, and manage schema versioning. - Contribute to the company’s evolving data mesh and streaming architecture vision. Qualification & Skills: - 5+ years of experience in Data Scientist, with 3+ years in Spark framework . - Strong SQL and Python skills, with proven experience building ETL/ELT at scale. - Deep understanding of algorithm performance tuning , query optimization , and warehouse orchestration . - Experience with data pipeline orchestration (Airflow, Prefect, dbt, or similar). - Solid understanding of data modeling (Kimball, Data Vault, or hybrid). - Proficiency in Kafka , GCP , or AWS for real-time or batch ingestion. - Familiarity with API-based data integration and microservice architectures . - Preferred - Experience lead machine learning teams or/and deploying ML feature pipelines . - Background in ad-tech, gaming, or e-commerce recommendation systems. - Familiarity with data contracts and feature stores (Feast, Tecton, or custom-built). - Experience managing small data engineering teams and setting technical direction - Strong ownership and ability to work autonomously in a fast-paced environment. - Excellent cross-functional communication — can translate between engineering and business. - Hands-on problem solver who balances velocity with reliability. - Collaborative mentor who raises the bar for team quality and discipline Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act. Criminal History Consideration: For the Data Scientist, we will conduct a background check that may include the following Criminal history check Employment verification Education verification Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities Accessing confidential company data Ensuring compliance with regulatory requirements Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com . By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants . Please direct any inquiries regarding your data privacy to careers@xsolla.com .
AI-First Engineering Intern(shanghai)
ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com . ABOUT YOU We are looking for an AI Engineer Intern who is curious, self-directed, and genuinely excited about building things with AI to join our global internship cohort. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to drive internal AI initiatives and build proof-of-concept applications that show our teams what's possible when AI is a core part of the workflow. Real AI fluency and a bias toward action are essential, along with experience in building projects using agentic coding tools like Claude Code, Cursor, or Copilot – not just asking ChatGPT to explain concepts. The ability to work with minimal process, figure things out independently, and ship work that reaches real users will be key to your success in this role. If you’re passionate about building with AI as your default way of working and love shipping code that matters – not throwaway exercises, we would love to hear from you! Responsibilities - Partner and collaborate with senior engineers to identify where AI tooling and integrations can remove friction, and build the fix. - Build applications and integrations on top of Xsolla's APIs and SDKs that show internal teams how to move faster using AI-assisted development. - Empower the technology department with AI tools to improve project efficiency. - Ship work that matters – what you build is expected to reach real users, whether that's an internal tool an engineering team adopts or a customer-facing integration. - Use agentic coding tools (Claude Code, Cursor, or similar) as your default way of working – not a novelty you reach for occasionally. - Share what you build – participate in weekly 30-second lightning-talk demos showing how you used AI to solve something that week. - Work with minimal process – get context, a problem, and a mentor; the rest is on you to figure out and build. - Learn from and collaborate with both senior engineers (who'll mentor you on production-grade practices) and fellow interns across markets (who'll trade ideas and code with you at weekly demos). Qualifications and Skills - Genuine passion for building – you have side projects, hackathon entries, open-source contributions, or something you shipped just because you were curious. - Real AI fluency – you've actually used tools like Claude Code, Cursor, Copilot, or similar agentic coding tools to build something, and you can explain how you used AI to get there and how you confirmed it actually worked. - Bias toward action – given an ambiguous problem, you start building before you ask for a spec. - Comfort with developing modern full-stack solutions – we care more about how fast you learn than what you already know cold. - Open to current undergraduate students, graduate students, and recent graduates of a Computer Science, Software Engineering, or related program. Bachelor's, Master's, and Doctoral degrees are all acceptable. - Available to work 3 to 6 months, at least 4 days a week. Nice to Have - Previous internship experience in software engineering or related fields. - Familiarity with Xsolla's products, APIs, or the gaming commerce ecosystem. - Experience with full-stack development frameworks (React, Next.js, Node.js, etc.). - Contributions to open-source projects or active GitHub portfolio with recent, self-directed work. - Experience building proof-of-concept or prototype applications in a fast-paced environment. Job Description This job description is intended to outline the general nature and level of work currently performed and is not an exhaustive list of all duties, responsibilities, or qualifications required. Privacy Notice & Data Processing Consent By submitting your application and uploading your resume/CV, you acknowledge and agree that Xsolla will process your personal information (including but not limited to your name, contact details, work experience, and educational background) for the purpose of recruitment, candidate evaluation, and internal record-keeping. In accordance with the Personal Information Protection Law of the People's Republic of China (PIPL): - Purpose Limitation: Your data will only be used for current and future recruitment considerations within Xsolla. - Sensitivity: We will handle your personal information with a high duty of care. - Your Rights: You have the right to access, correct, or delete your personal information, and to withdraw your consent at any time by contacting us. If your application proceeds past the final interview stage, we may conduct a background check, subject to applicable laws and regulations, only after obtaining your separate written consent. Any such check will be strictly limited to information directly relevant to the employment relationship (e.g., educational background, employment history) and will comply fully with the PIPL. Your personal information will be used solely for recruitment and human resource management purposes, and we will implement rigorous security measures to protect your data. Xsolla takes your privacy rights seriously. We are committed to protecting your personal information in accordance with Chinese data protection laws and will not sell, unlawfully provide, or disclose any personal data received during the hiring process without your explicit authorization. As a data processor, we uphold our obligations to safeguard your personal data and respect your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com For more vacancies: Careers | Xsolla
AI-First Engineering Intern
ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Why This Role Exists Xsolla is going all-in on becoming an AI-first company, and we're not waiting for a slow rollout to get there. We're offering AI Engineer Internships in regions across the globe to help drive that shift directly, not by sitting in the back office, but by building. You'll work on two things: - Internal AI initiatives – helping unlock AI tooling and integrations across Xsolla faster than our existing teams can alone. - Proof-of-concept builds on our own APIs – showing our product and engineering teams what's possible when you build with AI as a core part of your workflow, not an afterthought. This isn't a shadow-and-observe internship. You'll ship code that goes to customers – internal teams or external players and game developers – working closely with senior engineers and fellow interns across our global regions. Who You'll Work With You won't be isolated on an intern-only project island. You'll work closely with senior engineers who are actively rebuilding how we write software, and you'll be part of a global cohort of interns building in parallel across our regions. That combination is the point: senior engineers give you a bar for what production-grade, customer-facing code looks like, and your fellow interns give you a peer group to trade ideas, code, and AI workflows every week. What You'll Do - Partner and collaborate with senior engineers to identify where AI tooling and integrations can remove friction, and build the fix. - Build applications and integrations on top of Xsolla's APIs and SDKs that show internal teams how to move faster using AI-assisted development. - Ship work that matters. What you build is expected to reach real users – whether that's an internal tool an engineering team adopts or a customer-facing integration – not a throwaway exercise that gets shelved after your internship ends. - Use agentic coding tools (Claude Code, Cursor, or similar) as your default way of working – not a novelty you reach for occasionally. - Share what you build. We run weekly 30-second lightning-talk demos where everyone shows how they used AI to solve something that week – you'll be expected to bring something real. - Work with minimal process. You'll get context, a problem, and a mentor – the rest is on you to figure out and build. - Learn from and collaborate with both directions: senior engineers who'll mentor you on production-grade practices, and fellow interns across markets you'll trade ideas and code with at the weekly demos. What We're Looking For You build things because you want to, and that you already use AI to do it faster. - Genuine passion for building. You have side projects, hackathon entries, open-source contributions, or something you shipped just because you were curious. You didn't need an assignment to make it happen. - Real AI fluency. You've actually used tools like Claude Code, Cursor, Copilot, or similar agentic coding tools to build something – not just asked ChatGPT to explain a concept. You should be able to explain how you used AI to get there and how you confirmed it actually worked – not someone who fires off a prompt and hopes for the best. - Bias toward action. Given an ambiguous problem, you start building before you ask for a spec. - Comfort with developing modern full-stack solutions – we care more about how fast you learn than what you already know cold. - Open to current undergraduate students, graduate students, and recent graduates of a Computer Science, Software Engineering, or related program . If you're pursuing a graduate degree and don't mind taking on an internship-level role to get hands-on with AI, we want to hear from you. How to Apply No take-home assignments, no formal problem sets. We're evaluating proof of work, not your ability to complete an assigned exercise. Please include: - A link to a GitHub profile, deployed project, or anything else you've built – the more recent and self-directed, the better. - A short answer (2-3 sentences, or a 2-minute video/Loom if you'd rather show than tell) to: “What's something hard you built recently, and why did you build it?” We're not grading for correctness or polish. We're looking for whether you have a real answer, and whether it's clear you actually did the work yourself (with AI as your tool, not your ghostwriter). Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers
AI-First Engineering Intern
ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Why This Role Exists Xsolla is going all-in on becoming an AI-first company, and we're not waiting for a slow rollout to get there. We're offering AI Engineer Internships in regions across the globe to help drive that shift directly, not by sitting in the back office, but by building. You'll work on two things: - Internal AI initiatives – helping unlock AI tooling and integrations across Xsolla faster than our existing teams can alone. - Proof-of-concept builds on our own APIs – showing our product and engineering teams what's possible when you build with AI as a core part of your workflow, not an afterthought. This isn't a shadow-and-observe internship. You'll ship code that goes to customers – internal teams or external players and game developers – working closely with senior engineers and fellow interns across our global regions. Who You'll Work With You won't be isolated on an intern-only project island. You'll work closely with senior engineers who are actively rebuilding how we write software, and you'll be part of a global cohort of interns building in parallel across our regions. That combination is the point: senior engineers give you a bar for what production-grade, customer-facing code looks like, and your fellow interns give you a peer group to trade ideas, code, and AI workflows every week. What You'll Do - Partner and collaborate with senior engineers to identify where AI tooling and integrations can remove friction, and build the fix. - Build applications and integrations on top of Xsolla's APIs and SDKs that show internal teams how to move faster using AI-assisted development. - Ship work that matters. What you build is expected to reach real users – whether that's an internal tool an engineering team adopts or a customer-facing integration – not a throwaway exercise that gets shelved after your internship ends. - Use agentic coding tools (Claude Code, Cursor, or similar) as your default way of working – not a novelty you reach for occasionally. - Share what you build. We run weekly 30-second lightning-talk demos where everyone shows how they used AI to solve something that week – you'll be expected to bring something real. - Work with minimal process. You'll get context, a problem, and a mentor – the rest is on you to figure out and build. - Learn from and collaborate with both directions: senior engineers who'll mentor you on production-grade practices, and fellow interns across markets you'll trade ideas and code with at the weekly demos. What We're Looking For You build things because you want to, and that you already use AI to do it faster. - Genuine passion for building. You have side projects, hackathon entries, open-source contributions, or something you shipped just because you were curious. You didn't need an assignment to make it happen. - Real AI fluency. You've actually used tools like Claude Code, Cursor, Copilot, or similar agentic coding tools to build something – not just asked ChatGPT to explain a concept. You should be able to explain how you used AI to get there and how you confirmed it actually worked – not someone who fires off a prompt and hopes for the best. - Bias toward action. Given an ambiguous problem, you start building before you ask for a spec. - Comfort with developing modern full-stack solutions – we care more about how fast you learn than what you already know cold. - Open to current undergraduate students, graduate students, and recent graduates of a Computer Science, Software Engineering, or related program . If you're pursuing a graduate degree and don't mind taking on an internship-level role to get hands-on with AI, we want to hear from you. How to Apply No take-home assignments, no formal problem sets. We're evaluating proof of work, not your ability to complete an assigned exercise. Please include: - A link to a GitHub profile, deployed project, or anything else you've built – the more recent and self-directed, the better. - A short answer (2-3 sentences, or a 2-minute video/Loom if you'd rather show than tell) to: “What's something hard you built recently, and why did you build it?” We're not grading for correctness or polish. We're looking for whether you have a real answer, and whether it's clear you actually did the work yourself (with AI as your tool, not your ghostwriter). Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers
AI-First Engineering Intern
ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Why This Role Exists Xsolla is going all-in on becoming an AI-first company, and we're not waiting for a slow rollout to get there. We're offering AI Engineer Internships in regions across the globe to help drive that shift directly, not by sitting in the back office, but by building. You'll work on two things: - Internal AI initiatives – helping unlock AI tooling and integrations across Xsolla faster than our existing teams can alone. - Proof-of-concept builds on our own APIs – showing our product and engineering teams what's possible when you build with AI as a core part of your workflow, not an afterthought. This isn't a shadow-and-observe internship. You'll ship code that goes to customers – internal teams or external players and game developers – working closely with senior engineers and fellow interns across our global regions. Who You'll Work With You won't be isolated on an intern-only project island. You'll work closely with senior engineers who are actively rebuilding how we write software, and you'll be part of a global cohort of interns building in parallel across our regions. That combination is the point: senior engineers give you a bar for what production-grade, customer-facing code looks like, and your fellow interns give you a peer group to trade ideas, code, and AI workflows every week. What You'll Do - Partner and collaborate with senior engineers to identify where AI tooling and integrations can remove friction, and build the fix. - Build applications and integrations on top of Xsolla's APIs and SDKs that show internal teams how to move faster using AI-assisted development. - Ship work that matters. What you build is expected to reach real users – whether that's an internal tool an engineering team adopts or a customer-facing integration – not a throwaway exercise that gets shelved after your internship ends. - Use agentic coding tools (Claude Code, Cursor, or similar) as your default way of working – not a novelty you reach for occasionally. - Share what you build. We run weekly 30-second lightning-talk demos where everyone shows how they used AI to solve something that week – you'll be expected to bring something real. - Work with minimal process. You'll get context, a problem, and a mentor – the rest is on you to figure out and build. - Learn from and collaborate with both directions: senior engineers who'll mentor you on production-grade practices, and fellow interns across markets you'll trade ideas and code with at the weekly demos. What We're Looking For You build things because you want to, and that you already use AI to do it faster. - Genuine passion for building. You have side projects, hackathon entries, open-source contributions, or something you shipped just because you were curious. You didn't need an assignment to make it happen. - Real AI fluency. You've actually used tools like Claude Code, Cursor, Copilot, or similar agentic coding tools to build something – not just asked ChatGPT to explain a concept. You should be able to explain how you used AI to get there and how you confirmed it actually worked – not someone who fires off a prompt and hopes for the best. - Bias toward action. Given an ambiguous problem, you start building before you ask for a spec. - Comfort with developing modern full-stack solutions – we care more about how fast you learn than what you already know cold. - Open to current undergraduate students, graduate students, and recent graduates of a Computer Science, Software Engineering, or related program . If you're pursuing a graduate degree and don't mind taking on an internship-level role to get hands-on with AI, we want to hear from you. How to Apply No take-home assignments, no formal problem sets. We're evaluating proof of work, not your ability to complete an assigned exercise. Please include: - A link to a GitHub profile, deployed project, or anything else you've built – the more recent and self-directed, the better. - A short answer (2-3 sentences, or a 2-minute video/Loom if you'd rather show than tell) to: “What's something hard you built recently, and why did you build it?” We're not grading for correctness or polish. We're looking for whether you have a real answer, and whether it's clear you actually did the work yourself (with AI as your tool, not your ghostwriter). Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act. Criminal History Consideration: For the AI-First Engineering Intern, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com .
AI-First Engineering Intern
ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Why This Role Exists Xsolla is going all-in on becoming an AI-first company, and we're not waiting for a slow rollout to get there. We're offering AI Engineer Internships in regions across the globe to help drive that shift directly, not by sitting in the back office, but by building. You'll work on two things: - Internal AI initiatives – helping unlock AI tooling and integrations across Xsolla faster than our existing teams can alone. - Proof-of-concept builds on our own APIs – showing our product and engineering teams what's possible when you build with AI as a core part of your workflow, not an afterthought. This isn't a shadow-and-observe internship. You'll ship code that goes to customers – internal teams or external players and game developers – working closely with senior engineers and fellow interns across our global regions. Who You'll Work With You won't be isolated on an intern-only project island. You'll work closely with senior engineers who are actively rebuilding how we write software, and you'll be part of a global cohort of interns building in parallel across our regions. That combination is the point: senior engineers give you a bar for what production-grade, customer-facing code looks like, and your fellow interns give you a peer group to trade ideas, code, and AI workflows every week. What You'll Do - Partner and collaborate with senior engineers to identify where AI tooling and integrations can remove friction, and build the fix. - Build applications and integrations on top of Xsolla's APIs and SDKs that show internal teams how to move faster using AI-assisted development. - Ship work that matters. What you build is expected to reach real users – whether that's an internal tool an engineering team adopts or a customer-facing integration – not a throwaway exercise that gets shelved after your internship ends. - Use agentic coding tools (Claude Code, Cursor, or similar) as your default way of working – not a novelty you reach for occasionally. - Share what you build. We run weekly 30-second lightning-talk demos where everyone shows how they used AI to solve something that week – you'll be expected to bring something real. - Work with minimal process. You'll get context, a problem, and a mentor – the rest is on you to figure out and build. - Learn from and collaborate with both directions: senior engineers who'll mentor you on production-grade practices, and fellow interns across markets you'll trade ideas and code with at the weekly demos. What We're Looking For You build things because you want to, and that you already use AI to do it faster. - Genuine passion for building. You have side projects, hackathon entries, open-source contributions, or something you shipped just because you were curious. You didn't need an assignment to make it happen. - Real AI fluency. You've actually used tools like Claude Code, Cursor, Copilot, or similar agentic coding tools to build something – not just asked ChatGPT to explain a concept. You should be able to explain how you used AI to get there and how you confirmed it actually worked – not someone who fires off a prompt and hopes for the best. - Bias toward action. Given an ambiguous problem, you start building before you ask for a spec. - Comfort with developing modern full-stack solutions – we care more about how fast you learn than what you already know cold. - Open to current undergraduate students, graduate students, and recent graduates of a Computer Science, Software Engineering, or related program . If you're pursuing a graduate degree and don't mind taking on an internship-level role to get hands-on with AI, we want to hear from you. How to Apply No take-home assignments, no formal problem sets. We're evaluating proof of work, not your ability to complete an assigned exercise. Please include: - A link to a GitHub profile, deployed project, or anything else you've built – the more recent and self-directed, the better. - A short answer (2-3 sentences, or a 2-minute video/Loom if you'd rather show than tell) to: “What's something hard you built recently, and why did you build it?” We're not grading for correctness or polish. We're looking for whether you have a real answer, and whether it's clear you actually did the work yourself (with AI as your tool, not your ghostwriter). Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act. Criminal History Consideration: For the AI-First Engineering Intern, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com .
AI-First Engineering Intern
ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Why This Role Exists Xsolla is going all-in on becoming an AI-first company, and we're not waiting for a slow rollout to get there. We're offering AI Engineer Internships in regions across the globe to help drive that shift directly, not by sitting in the back office, but by building. You'll work on two things: - Internal AI initiatives – helping unlock AI tooling and integrations across Xsolla faster than our existing teams can alone. - Proof-of-concept builds on our own APIs – showing our product and engineering teams what's possible when you build with AI as a core part of your workflow, not an afterthought. This isn't a shadow-and-observe internship. You'll ship code that goes to customers – internal teams or external players and game developers – working closely with senior engineers and fellow interns across our global regions. Who You'll Work With You won't be isolated on an intern-only project island. You'll work closely with senior engineers who are actively rebuilding how we write software, and you'll be part of a global cohort of interns building in parallel across our regions. That combination is the point: senior engineers give you a bar for what production-grade, customer-facing code looks like, and your fellow interns give you a peer group to trade ideas, code, and AI workflows every week. What You'll Do - Partner and collaborate with senior engineers to identify where AI tooling and integrations can remove friction, and build the fix. - Build applications and integrations on top of Xsolla's APIs and SDKs that show internal teams how to move faster using AI-assisted development. - Ship work that matters. What you build is expected to reach real users – whether that's an internal tool an engineering team adopts or a customer-facing integration – not a throwaway exercise that gets shelved after your internship ends. - Use agentic coding tools (Claude Code, Cursor, or similar) as your default way of working – not a novelty you reach for occasionally. - Share what you build. We run weekly 30-second lightning-talk demos where everyone shows how they used AI to solve something that week – you'll be expected to bring something real. - Work with minimal process. You'll get context, a problem, and a mentor – the rest is on you to figure out and build. - Learn from and collaborate with both directions: senior engineers who'll mentor you on production-grade practices, and fellow interns across markets you'll trade ideas and code with at the weekly demos. What We're Looking For You build things because you want to, and that you already use AI to do it faster. - Genuine passion for building. You have side projects, hackathon entries, open-source contributions, or something you shipped just because you were curious. You didn't need an assignment to make it happen. - Real AI fluency. You've actually used tools like Claude Code, Cursor, Copilot, or similar agentic coding tools to build something – not just asked ChatGPT to explain a concept. You should be able to explain how you used AI to get there and how you confirmed it actually worked – not someone who fires off a prompt and hopes for the best. - Bias toward action. Given an ambiguous problem, you start building before you ask for a spec. - Comfort with developing modern full-stack solutions – we care more about how fast you learn than what you already know cold. - Open to current undergraduate students, graduate students, and recent graduates of a Computer Science, Software Engineering, or related program . If you're pursuing a graduate degree and don't mind taking on an internship-level role to get hands-on with AI, we want to hear from you. How to Apply No take-home assignments, no formal problem sets. We're evaluating proof of work, not your ability to complete an assigned exercise. Please include: - A link to a GitHub profile, deployed project, or anything else you've built – the more recent and self-directed, the better. - A short answer (2-3 sentences, or a 2-minute video/Loom if you'd rather show than tell) to: “What's something hard you built recently, and why did you build it?” We're not grading for correctness or polish. We're looking for whether you have a real answer, and whether it's clear you actually did the work yourself (with AI as your tool, not your ghostwriter). Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act. Criminal History Consideration: For the AI-First Engineering Intern, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements Rights Under the Personal Data Protection Law: Applicants are encouraged to inquire about their rights under the Personal Data Protection Law. If you have questions regarding our hiring practices, please contact careers@xsolla.com .
AI-First Engineering Intern
ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Why This Role Exists Xsolla is going all-in on becoming an AI-first company, and we're not waiting for a slow rollout to get there. We're offering AI Engineer Internships in regions across the globe to help drive that shift directly, not by sitting in the back office, but by building. You'll work on two things: - Internal AI initiatives – helping unlock AI tooling and integrations across Xsolla faster than our existing teams can alone. - Proof-of-concept builds on our own APIs – showing our product and engineering teams what's possible when you build with AI as a core part of your workflow, not an afterthought. This isn't a shadow-and-observe internship. You'll ship code that goes to customers – internal teams or external players and game developers – working closely with senior engineers and fellow interns across our global regions. Who You'll Work With You won't be isolated on an intern-only project island. You'll work closely with senior engineers who are actively rebuilding how we write software, and you'll be part of a global cohort of interns building in parallel across our regions. That combination is the point: senior engineers give you a bar for what production-grade, customer-facing code looks like, and your fellow interns give you a peer group to trade ideas, code, and AI workflows every week. What You'll Do - Partner and collaborate with senior engineers to identify where AI tooling and integrations can remove friction, and build the fix. - Build applications and integrations on top of Xsolla's APIs and SDKs that show internal teams how to move faster using AI-assisted development. - Ship work that matters. What you build is expected to reach real users – whether that's an internal tool an engineering team adopts or a customer-facing integration – not a throwaway exercise that gets shelved after your internship ends. - Use agentic coding tools (Claude Code, Cursor, or similar) as your default way of working – not a novelty you reach for occasionally. - Share what you build. We run weekly 30-second lightning-talk demos where everyone shows how they used AI to solve something that week – you'll be expected to bring something real. - Work with minimal process. You'll get context, a problem, and a mentor – the rest is on you to figure out and build. - Learn from and collaborate with both directions: senior engineers who'll mentor you on production-grade practices, and fellow interns across markets you'll trade ideas and code with at the weekly demos. What We're Looking For You build things because you want to, and that you already use AI to do it faster. - Genuine passion for building. You have side projects, hackathon entries, open-source contributions, or something you shipped just because you were curious. You didn't need an assignment to make it happen. - Real AI fluency. You've actually used tools like Claude Code, Cursor, Copilot, or similar agentic coding tools to build something – not just asked ChatGPT to explain a concept. You should be able to explain how you used AI to get there and how you confirmed it actually worked – not someone who fires off a prompt and hopes for the best. - Bias toward action. Given an ambiguous problem, you start building before you ask for a spec. - Comfort with developing modern full-stack solutions – we care more about how fast you learn than what you already know cold. - Open to current undergraduate students, graduate students, and recent graduates of a Computer Science, Software Engineering, or related program . If you're pursuing a graduate degree and don't mind taking on an internship-level role to get hands-on with AI, we want to hear from you. How to Apply No take-home assignments, no formal problem sets. We're evaluating proof of work, not your ability to complete an assigned exercise. Please include: - A link to a GitHub profile, deployed project, or anything else you've built – the more recent and self-directed, the better. - A short answer (2-3 sentences, or a 2-minute video/Loom if you'd rather show than tell) to: “What's something hard you built recently, and why did you build it?” We're not grading for correctness or polish. We're looking for whether you have a real answer, and whether it's clear you actually did the work yourself (with AI as your tool, not your ghostwriter). Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers
AI-First Engineering Intern
ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Why This Role Exists Xsolla is going all-in on becoming an AI-first company, and we're not waiting for a slow rollout to get there. We're offering AI Engineer Internships in regions across the globe to help drive that shift directly, not by sitting in the back office, but by building. You'll work on two things: - Internal AI initiatives – helping unlock AI tooling and integrations across Xsolla faster than our existing teams can alone. - Proof-of-concept builds on our own APIs – showing our product and engineering teams what's possible when you build with AI as a core part of your workflow, not an afterthought. This isn't a shadow-and-observe internship. You'll ship code that goes to customers – internal teams or external players and game developers – working closely with senior engineers and fellow interns across our global regions. Who You'll Work With You won't be isolated on an intern-only project island. You'll work closely with senior engineers who are actively rebuilding how we write software, and you'll be part of a global cohort of interns building in parallel across our regions. That combination is the point: senior engineers give you a bar for what production-grade, customer-facing code looks like, and your fellow interns give you a peer group to trade ideas, code, and AI workflows every week. What You'll Do - Partner and collaborate with senior engineers to identify where AI tooling and integrations can remove friction, and build the fix. - Build applications and integrations on top of Xsolla's APIs and SDKs that show internal teams how to move faster using AI-assisted development. - Empower the technology department with AI tools to improve project efficiency. - Ship work that matters. What you build is expected to reach real users – whether that's an internal tool an engineering team adopts or a customer-facing integration – not a throwaway exercise that gets shelved after your internship ends. - Use agentic coding tools (Claude Code, Cursor, or similar) as your default way of working – not a novelty you reach for occasionally. - Share what you build. We run weekly 30-second lightning-talk demos where everyone shows how they used AI to solve something that week – you'll be expected to bring something real. - Work with minimal process. You'll get context, a problem, and a mentor – the rest is on you to figure out and build. - Learn from and collaborate with both directions: senior engineers who'll mentor you on production-grade practices, and fellow interns across markets you'll trade ideas and code with at the weekly demos. What We're Looking For You build things because you want to, and that you already use AI to do it faster. - Genuine passion for building. You have side projects, hackathon entries, open-source contributions, or something you shipped just because you were curious. You didn't need an assignment to make it happen. - Real AI fluency. You've actually used tools like Claude Code, Cursor, Copilot, or similar agentic coding tools to build something – not just asked ChatGPT to explain a concept. You should be able to explain how you used AI to get there and how you confirmed it actually worked – not someone who fires off a prompt and hopes for the best. - Bias toward action. Given an ambiguous problem, you start building before you ask for a spec. - Comfort with developing modern full-stack solutions – we care more about how fast you learn than what you already know cold. - Open to current undergraduate students, graduate students, and recent graduates of a Computer Science, Software Engineering, or related program . If you're pursuing a graduate degree and don't mind taking on an internship-level role to get hands-on with AI, we want to hear from you. - Work 3 to 6 months, at least 4 days a week. - Current students or recent graduates in science and engineering fields. Bachelor's, Master's, and Doctoral degrees are all acceptable. How to Apply No take-home assignments, no formal problem sets. We're evaluating proof of work, not your ability to complete an assigned exercise. Please include: - A link to a GitHub profile, deployed project, or anything else you've built – the more recent and self-directed, the better. - A short answer (2-3 sentences, or a 2-minute video/Loom if you'd rather show than tell) to: “What's something hard you built recently, and why did you build it?” We're not grading for correctness or polish. We're looking for whether you have a real answer, and whether it's clear you actually did the work yourself (with AI as your tool, not your ghostwriter). Job Description This job description is intended to outline the general nature and level of work currently performed and is not an exhaustive list of all duties, responsibilities, or qualifications required. Privacy Notice & Data Processing Consent By submitting your application and uploading your resume/CV, you acknowledge and agree that Xsolla will process your personal information (including but not limited to your name, contact details, work experience, and educational background) for the purpose of recruitment, candidate evaluation, and internal record-keeping. In accordance with the Personal Information Protection Law of the People's Republic of China (PIPL): Purpose Limitation: Your data will only be used for current and future recruitment considerations within Xsolla. Sensitivity: We will handle your personal information with a high duty of care. Your Rights: You have the right to access, correct, or delete your personal information, and to withdraw your consent at any time by contacting us. If your application proceeds past the final interview stage, we may conduct a background check, subject to applicable laws and regulations, only after obtaining your separate written consent. Any such check will be strictly limited to information directly relevant to the employment relationship (e.g., educational background, employment history) and will comply fully with the PIPL. Your personal information will be used solely for recruitment and human resource management purposes, and we will implement rigorous security measures to protect your data. Xsolla takes your privacy rights seriously. We are committed to protecting your personal information in accordance with Chinese data protection laws and will not sell, unlawfully provide, or disclose any personal data received during the hiring process without your explicit authorization. As a data processor, we uphold our obligations to safeguard your personal data and respect your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers
AI-First Engineering Intern
ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Why This Role Exists Xsolla is going all-in on becoming an AI-first company, and we're not waiting for a slow rollout to get there. We're offering AI Engineer Internships in regions across the globe to help drive that shift directly, not by sitting in the back office, but by building. You'll work on two things: - Internal AI initiatives – helping unlock AI tooling and integrations across Xsolla faster than our existing teams can alone. - Proof-of-concept builds on our own APIs – showing our product and engineering teams what's possible when you build with AI as a core part of your workflow, not an afterthought. This isn't a shadow-and-observe internship. You'll ship code that goes to customers – internal teams or external players and game developers – working closely with senior engineers and fellow interns across our global regions. Who You'll Work With You won't be isolated on an intern-only project island. You'll work closely with senior engineers who are actively rebuilding how we write software, and you'll be part of a global cohort of interns building in parallel across our regions. That combination is the point: senior engineers give you a bar for what production-grade, customer-facing code looks like, and your fellow interns give you a peer group to trade ideas, code, and AI workflows every week. What You'll Do - Partner and collaborate with senior engineers to identify where AI tooling and integrations can remove friction, and build the fix. - Build applications and integrations on top of Xsolla's APIs and SDKs that show internal teams how to move faster using AI-assisted development. - Ship work that matters. What you build is expected to reach real users – whether that's an internal tool an engineering team adopts or a customer-facing integration – not a throwaway exercise that gets shelved after your internship ends. - Use agentic coding tools (Claude Code, Cursor, or similar) as your default way of working – not a novelty you reach for occasionally. - Share what you build. We run weekly 30-second lightning-talk demos where everyone shows how they used AI to solve something that week – you'll be expected to bring something real. - Work with minimal process. You'll get context, a problem, and a mentor – the rest is on you to figure out and build. - Learn from and collaborate with both directions: senior engineers who'll mentor you on production-grade practices, and fellow interns across markets you'll trade ideas and code with at the weekly demos. What We're Looking For You build things because you want to, and that you already use AI to do it faster. - Genuine passion for building. You have side projects, hackathon entries, open-source contributions, or something you shipped just because you were curious. You didn't need an assignment to make it happen. - Real AI fluency. You've actually used tools like Claude Code, Cursor, Copilot, or similar agentic coding tools to build something – not just asked ChatGPT to explain a concept. You should be able to explain how you used AI to get there and how you confirmed it actually worked – not someone who fires off a prompt and hopes for the best. - Bias toward action. Given an ambiguous problem, you start building before you ask for a spec. - Comfort with developing modern full-stack solutions – we care more about how fast you learn than what you already know cold. - Open to current undergraduate students, graduate students, and recent graduates of a Computer Science, Software Engineering, or related program . If you're pursuing a graduate degree and don't mind taking on an internship-level role to get hands-on with AI, we want to hear from you. How to Apply No take-home assignments, no formal problem sets. We're evaluating proof of work, not your ability to complete an assigned exercise. Please include: - A link to a GitHub profile, deployed project, or anything else you've built – the more recent and self-directed, the better. - A short answer (2-3 sentences, or a 2-minute video/Loom if you'd rather show than tell) to: “What's something hard you built recently, and why did you build it?” We're not grading for correctness or polish. We're looking for whether you have a real answer, and whether it's clear you actually did the work yourself (with AI as your tool, not your ghostwriter). Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act. Criminal History Consideration: For the AI-First Engineering Intern, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com .
AI-First Engineering Intern
ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Why This Role Exists Xsolla is going all-in on becoming an AI-first company, and we're not waiting for a slow rollout to get there. We're offering AI Engineer Internships in regions across the globe to help drive that shift directly, not by sitting in the back office, but by building. You'll work on two things: - Internal AI initiatives – helping unlock AI tooling and integrations across Xsolla faster than our existing teams can alone. - Proof-of-concept builds on our own APIs – showing our product and engineering teams what's possible when you build with AI as a core part of your workflow, not an afterthought. This isn't a shadow-and-observe internship. You'll ship code that goes to customers – internal teams or external players and game developers – working closely with senior engineers and fellow interns across our global regions. Who You'll Work With You won't be isolated on an intern-only project island. You'll work closely with senior engineers who are actively rebuilding how we write software, and you'll be part of a global cohort of interns building in parallel across our regions. That combination is the point: senior engineers give you a bar for what production-grade, customer-facing code looks like, and your fellow interns give you a peer group to trade ideas, code, and AI workflows every week. What You'll Do - Partner and collaborate with senior engineers to identify where AI tooling and integrations can remove friction, and build the fix. - Build applications and integrations on top of Xsolla's APIs and SDKs that show internal teams how to move faster using AI-assisted development. - Ship work that matters. What you build is expected to reach real users – whether that's an internal tool an engineering team adopts or a customer-facing integration – not a throwaway exercise that gets shelved after your internship ends. - Use agentic coding tools (Claude Code, Cursor, or similar) as your default way of working – not a novelty you reach for occasionally. - Share what you build. We run weekly 30-second lightning-talk demos where everyone shows how they used AI to solve something that week – you'll be expected to bring something real. - Work with minimal process. You'll get context, a problem, and a mentor – the rest is on you to figure out and build. - Learn from and collaborate with both directions: senior engineers who'll mentor you on production-grade practices, and fellow interns across markets you'll trade ideas and code with at the weekly demos. What We're Looking For You build things because you want to, and that you already use AI to do it faster. - Genuine passion for building. You have side projects, hackathon entries, open-source contributions, or something you shipped just because you were curious. You didn't need an assignment to make it happen. - Real AI fluency. You've actually used tools like Claude Code, Cursor, Copilot, or similar agentic coding tools to build something – not just asked ChatGPT to explain a concept. You should be able to explain how you used AI to get there and how you confirmed it actually worked – not someone who fires off a prompt and hopes for the best. - Bias toward action. Given an ambiguous problem, you start building before you ask for a spec. - Comfort with developing modern full-stack solutions – we care more about how fast you learn than what you already know cold. - Open to current undergraduate students, graduate students, and recent graduates of a Computer Science, Software Engineering, or related program . If you're pursuing a graduate degree and don't mind taking on an internship-level role to get hands-on with AI, we want to hear from you. How to Apply No take-home assignments, no formal problem sets. We're evaluating proof of work, not your ability to complete an assigned exercise. Please include: - A link to a GitHub profile, deployed project, or anything else you've built – the more recent and self-directed, the better. - A short answer (2-3 sentences, or a 2-minute video/Loom if you'd rather show than tell) to: “What's something hard you built recently, and why did you build it?” We're not grading for correctness or polish. We're looking for whether you have a real answer, and whether it's clear you actually did the work yourself (with AI as your tool, not your ghostwriter). BENEFITS: Convenient work tools Google Chat, Gmail, Google Drive, Confluence Professional growth Rich knowledge exchange within the company More perks No dress code Comfortable and new office environment PHYSICAL DEMANDS The physical demands for this position are sits, stands, bends, lifts, and moves intermittently during working hours. These physical requirements may be accomplished with or without reasonable accommodations. The duties of this position may change from time to time so the individual and organization can achieve their results. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. Xsolla KL Sdn Bhd takes your privacy very seriously, and will not sell or externally distribute any data received during the hiring process. Pursuant to the Personal Data Protection Act 2010 (“PDPA”), Xsolla KL Sdn Bhd is mindful and committed to the protection of your personal information and your privacy. Please direct any inquiries regarding your data privacy to careers@xsolla.com . For more vacancies: https://xsolla.com/careers/vacancies
AI Prototyping Expert (UI/UX)
ABOUT YOU You are a prototyping and AI expert who thinks in flows, experiments, and code — and who brings strong UI/UX skills to everything you build. You move fast: your first instinct when exploring a new idea is to open Claude Code or Cursor, not Figma. You build interactive, working prototypes using AI-assisted coding tools, and you use design craft to make them feel polished and production-ready. You actively build AI-driven workflows (prompt → pipeline → result) and know how to ship things — working with engineers to take prototypes all the way to production. You’re comfortable with ambiguity and complex inputs, and you validate your work through real experiments and user feedback. You have solid UI/UX foundations — you design clear flows, understand visual hierarchy, and can produce high-fidelity interfaces in Figma when needed. But your superpower is the ability to collapse the gap between idea and working product using AI and code. You don’t manage a team directly, but you own the quality of what you build and naturally align business, design, and engineering around your solutions. ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com . Responsibilities AI-Assisted Prototyping & Vibe Coding - Build interactive prototypes and design explorations using AI coding tools (Claude Code, Cursor, v0, Framer, or similar) — reaching for code as your primary creative tool. - Design and prototype AI-assisted product solutions (agents, copilots, generation and automation tools) together with product and engineering. - Build and iterate prompt → flow → result pipelines; contribute reusable prompt patterns and workflow libraries. - Use no-/low-code tooling (Webflow, Retool, Zapier) where possible to reduce dependency on core engineering. - Move prototypes to production in close collaboration with engineers, ensuring smooth handoff and feasibility. UI/UX Design - Turn ideas into clear UX flows, wireframes, and high-fidelity mock-ups in Figma when needed. - Bring strong visual and interaction design craft to everything you build — hierarchy, clarity, motion, and micro-interactions. - Create partner-facing materials: product presentations, landing pages, one-pagers, and infographics for go-to-market and integrations. Discovery, Research & Experimentation - Contribute to discovery: interviews, JTBD, surveys, CJMs, and help translate insights into product decisions. - Validate solutions and hypotheses through quick tests and experiments. - Collaborate with analytics to define success metrics and interpret experiment results. Monetization UX - Translate monetization and growth ideas into concrete prototypes, UX changes, and experiments. - Design and iterate flows for D2C, in-app/F2P, and LiveOps scenarios (shops, offers, bundles, events). Bridge Business ↔ Design ↔ Tech - Translate business problems and partner needs into clear artifacts: flows, specs, clickable prototypes, and simple documentation. - Work closely with engineers to ensure feasibility and a smooth path from prototype to production. - Contribute to internal standards for AI-assisted workflows, UX quality, and visual consistency (without direct people-management). Qualifications & Skills - 5–7+ years in product design, UX/UI, or a hybrid design-engineering role. - Hands-on experience with AI coding tools (Claude Code, Cursor, v0, or similar) — you use these to build and prototype, not just explore ideas. - A genuine passion for vibe coding and AI-assisted prototyping; someone actively building this muscle, not just aware of it. - Confident in Figma for UX flows, wireframes, and high-fidelity design when required. - Proven AI production experience: building prompt + workflow pipelines and shipping automated or AI-assisted flows into real use. - Strong UI skills: visual clarity, hierarchy, attention to detail, and the ability to make prototypes feel polished. - Strong UX thinking: flows, structure, consistency, and edge cases — able to design connected product experiences, not just individual screens. - Research skills: experience contributing to discovery (interviews, JTBD, CJM), usability tests, and surveys. - Analytics & experiments: comfortable framing hypotheses, reading A/B-test results, and connecting UX changes to business metrics. - Strong written and verbal communication in English — able to align stakeholders around your solutions. Nice to Have - Strong track record of designing and shipping D2C and F2P / in-app monetization experiences (shops, checkouts, promotions, LiveOps). - Experience in the gaming industry or working with game developers / publishers. - Ability to write functional front-end code (HTML/CSS/JS/React) to build prototypes independently. - Deep craft in interaction design, motion, and design systems; experience contributing to or maintaining a design system. - Broad understanding of modern product architecture (APIs, client–server patterns, microservices, cloud). - Experience with no-code / low-code tools such as Webflow, Retool, Zapier, or similar. - Experience in a fast-paced startup or scale-up environment. - Familiarity with growth design principles (conversion optimisation, funnel analysis, pricing presentation). - Additional language skills relevant to key markets (e.g. Russian, Malay, Chinese). Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act. Criminal History Consideration: For the AI Prototyping Expert, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements Handling sensitive financial information/managing budgets/accessing funds Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com .
Language AI Solutions Specialist
Company Overview At Keywords, we are using our passion for games, technology and media to create a global services platform for video games and beyond. Our aim is to become the “go to” provider of technical services. We enable leading content creators and publishers to leverage our expertise and capacity across the lifecycle of interactive content. In so doing we empower our clients to remain lean and agile, and to focus on creating the most engaging experiences. Keywords is trusted and relied upon by many of the world’s leading video game companies to work alongside them during concept, development and live operations by leveraging the breadth and depth of our industry leading service lines every step of the way. www.keywordsstudios.com Role Overview As a Language AI Solutions Specialist, you will bridge the gap between traditional localization and cutting-edge AI. You will be responsible for the end-to-end lifecycle of translation systems—from legacy Neural MT to modern LLM-based solutions. Your mission is to architect, tune, and deploy high-performance language models that drive global scalability while maintaining uncompromising linguistic quality. Key Deliverables - Hybrid Engine Deployment: Design, test, and certify Neural MT systems (KantanMT) and fine-tuned LLMs tailored to client-specific domains. - Performance Analytics: Deliver comprehensive quality reports, including Predictive TER scores, MQM-DQF/COMET/G-Eval metrics, and Human-in-the-Loop (HITL) evaluations. - Production Integration: Working closely with internal stakeholders (Development, Production, etc.) to oversee the seamless transition of validated models into live production environments. Core Responsibilities 1. AI Model Tuning & Optimization - Fine-Tuning & Hyperparameters: Execute supervised fine-tuning (SFT) on LLMs to align output with Client/Project specific style, voice, and domain-specific terminology. - RAG Corpus Management: Architect and maintain high-quality corpora for Retrieval-Augmented Generation, ensuring that vector databases are populated with clean, relevant, and deduplicated data. - Data Engineering: Perform advanced data analysis, cleansing, and data generation to prepare clean datasets for model training and tuning. - Output Verification: Utilize native-level linguistic expertise to perform deep-dive audits of NMT and LLM outputs, identifying nuanced errors such as hallucinations, cultural insensitivity, or tone inconsistency that automated metrics might miss. 2. Linguistic Asset Engineering - Modernization: Manage and optimize Translation Memories (TMs) and Termbases to serve as the foundational "ground truth" for AI training. - Quality Control: Implement and evolve Machine Translation Post-Editing (MTPE) workflows, integrating AI-assisted quality estimation (QE) to reduce manual overhead. 3. Analytics & Productivity Insights - Impact Metrics: Gather and analyze post-deployment data, focusing on Edit Distance, time-to-market reduction, and cost-per-word efficiency. - Stakeholder Reporting: Translate complex technical data into actionable insights for Program Managers and clients, recommending rebuilds or retraining cycles where necessary. 4. Operations & Troubleshooting - Technical Support: Serve as the escalation point for engine failures, API latency issues, or unexpected model "hallucinations.". - Process Documentation: Create "Living Documentation" for evolving AI workflows to ensure team-wide alignment and scalability. Requirements Required Skills - Fluent English and native level of any core Asian languages (Chinese, Japanese or Korean) - 3-4 years of experience in the localization industry, working as a Project Manager, Translator, Post-Editor or QA tester - Machine Translation Post Editing: Solid understanding of MTPE, proven track record in correcting NMT or LLM outputs for fluent, accurate and brand-consistent target text. - Degree in Translation, Translation Technology or relevant experience. - Aptitude for analytics: Ability to understand and work with string-matching and edit metrics (e.g., explaining Edit Distance in a post editing context, understanding MQM-DQF frameworks etc.) Preferred Skills - Solid understanding of CAT tools and CMS/TMS systems in the localization industry - AI/LLM applications - knowledge of prompt engineering, RAG corpus management and familiarity with Vector Spaces - Basic knowledge of Python and Regex When You Apply - Please submit your resume in English. Resumes in any other language will not be reviewed. - Due to the high volume of applications, only shortlisted candidates will be contacted. Benefits As this is a remote position, benefits may vary depending on the employing entity and the candidate’s country/state of residence. Keywords is committed to creating a diverse, inclusive and supportive working environment. Keywords Studios is committed to fair and ethical hiring practices. We expect candidates to conduct themselves with honesty and to participate in all applications and interviews independently, presenting their own knowledge and experience. Candidates should refrain from using AI assistance or third-party tools or services that could influence, capture, or otherwise interfere with the authenticity of the assessment process. By providing your information in this application, you understand that we will collect and process your information in accordance with our Applicant Privacy Notice. For more information, please see our Applicant Privacy Notice at https://www.keywordsstudios.com/en/applicant-privacy-notice . Role Information: EN Studio: Keywords Studios Location: Asia Pacific, Mainland China, Japan, Korea, Singapore, Taiwan Area of Work: Localization Service: Globalize Employment Type: Full Time Working Pattern: Remote
Language AI Solutions Specialist
Company Overview At Keywords, we are using our passion for games, technology and media to create a global services platform for video games and beyond. Our aim is to become the “go to” provider of technical services. We enable leading content creators and publishers to leverage our expertise and capacity across the lifecycle of interactive content. In so doing we empower our clients to remain lean and agile, and to focus on creating the most engaging experiences. Keywords is trusted and relied upon by many of the world’s leading video game companies to work alongside them during concept, development and live operations by leveraging the breadth and depth of our industry leading service lines every step of the way. www.keywordsstudios.com Role Overview As a Language AI Solutions Specialist, you will bridge the gap between traditional localization and cutting-edge AI. You will be responsible for the end-to-end lifecycle of translation systems—from legacy Neural MT to modern LLM-based solutions. Your mission is to architect, tune, and deploy high-performance language models that drive global scalability while maintaining uncompromising linguistic quality. Key Deliverables - Hybrid Engine Deployment: Design, test, and certify Neural MT systems (KantanMT) and fine-tuned LLMs tailored to client-specific domains. - Performance Analytics: Deliver comprehensive quality reports, including Predictive TER scores, MQM-DQF/COMET/G-Eval metrics, and Human-in-the-Loop (HITL) evaluations. - Production Integration: Working closely with internal stakeholders (Development, Production, etc.) to oversee the seamless transition of validated models into live production environments. Core Responsibilities 1. AI Model Tuning & Optimization - Fine-Tuning & Hyperparameters: Execute supervised fine-tuning (SFT) on LLMs to align output with Client/Project specific style, voice, and domain-specific terminology. - RAG Corpus Management: Architect and maintain high-quality corpora for Retrieval-Augmented Generation, ensuring that vector databases are populated with clean, relevant, and deduplicated data. - Data Engineering: Perform advanced data analysis, cleansing, and data generation to prepare clean datasets for model training and tuning. - Output Verification: Utilize native-level linguistic expertise to perform deep-dive audits of NMT and LLM outputs, identifying nuanced errors such as hallucinations, cultural insensitivity, or tone inconsistency that automated metrics might miss. 2. Linguistic Asset Engineering - Modernization: Manage and optimize Translation Memories (TMs) and Termbases to serve as the foundational "ground truth" for AI training. - Quality Control: Implement and evolve Machine Translation Post-Editing (MTPE) workflows, integrating AI-assisted quality estimation (QE) to reduce manual overhead. 3. Analytics & Productivity Insights - Impact Metrics: Gather and analyze post-deployment data, focusing on Edit Distance, time-to-market reduction, and cost-per-word efficiency. - Stakeholder Reporting: Translate complex technical data into actionable insights for Program Managers and clients, recommending rebuilds or retraining cycles where necessary. 4. Operations & Troubleshooting - Technical Support: Serve as the escalation point for engine failures, API latency issues, or unexpected model "hallucinations.". - Process Documentation: Create "Living Documentation" for evolving AI workflows to ensure team-wide alignment and scalability. Requirements Required Skills - Fluent English and native level of any core Asian languages (Chinese, Japanese or Korean) - 3-4 years of experience in the localization industry, working as a Project Manager, Translator, Post-Editor or QA tester - Machine Translation Post Editing: Solid understanding of MTPE, proven track record in correcting NMT or LLM outputs for fluent, accurate and brand-consistent target text. - Degree in Translation, Translation Technology or relevant experience. - Aptitude for analytics: Ability to understand and work with string-matching and edit metrics (e.g., explaining Edit Distance in a post editing context, understanding MQM-DQF frameworks etc.) Preferred Skills - Solid understanding of CAT tools and CMS/TMS systems in the localization industry - AI/LLM applications - knowledge of prompt engineering, RAG corpus management and familiarity with Vector Spaces - Basic knowledge of Python and Regex When You Apply - Please submit your resume in English. Resumes in any other language will not be reviewed. - Due to the high volume of applications, only shortlisted candidates will be contacted. Benefits As this is a remote position, benefits may vary depending on the employing entity and the candidate’s country/state of residence. Keywords is committed to creating a diverse, inclusive and supportive working environment. Keywords Studios is committed to fair and ethical hiring practices. We expect candidates to conduct themselves with honesty and to participate in all applications and interviews independently, presenting their own knowledge and experience. Candidates should refrain from using AI assistance or third-party tools or services that could influence, capture, or otherwise interfere with the authenticity of the assessment process. By providing your information in this application, you understand that we will collect and process your information in accordance with our Applicant Privacy Notice. For more information, please see our Applicant Privacy Notice at https://www.keywordsstudios.com/en/applicant-privacy-notice . Role Information: EN Studio: Keywords Studios Location: Asia Pacific, Mainland China, Japan, Korea, Singapore, Taiwan Area of Work: Localization Service: Globalize Employment Type: Full Time Working Pattern: Remote
Language AI Solutions Specialist
Company Overview At Keywords, we are using our passion for games, technology and media to create a global services platform for video games and beyond. Our aim is to become the “go to” provider of technical services. We enable leading content creators and publishers to leverage our expertise and capacity across the lifecycle of interactive content. In so doing we empower our clients to remain lean and agile, and to focus on creating the most engaging experiences. Keywords is trusted and relied upon by many of the world’s leading video game companies to work alongside them during concept, development and live operations by leveraging the breadth and depth of our industry leading service lines every step of the way. www.keywordsstudios.com Role Overview As a Language AI Solutions Specialist, you will bridge the gap between traditional localization and cutting-edge AI. You will be responsible for the end-to-end lifecycle of translation systems—from legacy Neural MT to modern LLM-based solutions. Your mission is to architect, tune, and deploy high-performance language models that drive global scalability while maintaining uncompromising linguistic quality. Key Deliverables - Hybrid Engine Deployment: Design, test, and certify Neural MT systems (KantanMT) and fine-tuned LLMs tailored to client-specific domains. - Performance Analytics: Deliver comprehensive quality reports, including Predictive TER scores, MQM-DQF/COMET/G-Eval metrics, and Human-in-the-Loop (HITL) evaluations. - Production Integration: Working closely with internal stakeholders (Development, Production, etc.) to oversee the seamless transition of validated models into live production environments. Core Responsibilities 1. AI Model Tuning & Optimization - Fine-Tuning & Hyperparameters: Execute supervised fine-tuning (SFT) on LLMs to align output with Client/Project specific style, voice, and domain-specific terminology. - RAG Corpus Management: Architect and maintain high-quality corpora for Retrieval-Augmented Generation, ensuring that vector databases are populated with clean, relevant, and deduplicated data. - Data Engineering: Perform advanced data analysis, cleansing, and data generation to prepare clean datasets for model training and tuning. - Output Verification: Utilize native-level linguistic expertise to perform deep-dive audits of NMT and LLM outputs, identifying nuanced errors such as hallucinations, cultural insensitivity, or tone inconsistency that automated metrics might miss. 2. Linguistic Asset Engineering - Modernization: Manage and optimize Translation Memories (TMs) and Termbases to serve as the foundational "ground truth" for AI training. - Quality Control: Implement and evolve Machine Translation Post-Editing (MTPE) workflows, integrating AI-assisted quality estimation (QE) to reduce manual overhead. 3. Analytics & Productivity Insights - Impact Metrics: Gather and analyze post-deployment data, focusing on Edit Distance, time-to-market reduction, and cost-per-word efficiency. - Stakeholder Reporting: Translate complex technical data into actionable insights for Program Managers and clients, recommending rebuilds or retraining cycles where necessary. 4. Operations & Troubleshooting - Technical Support: Serve as the escalation point for engine failures, API latency issues, or unexpected model "hallucinations.". - Process Documentation: Create "Living Documentation" for evolving AI workflows to ensure team-wide alignment and scalability. Requirements Required Skills - Fluent English and native level of any core Asian languages (Chinese, Japanese or Korean) - 3-4 years of experience in the localization industry, working as a Project Manager, Translator, Post-Editor or QA tester - Machine Translation Post Editing: Solid understanding of MTPE, proven track record in correcting NMT or LLM outputs for fluent, accurate and brand-consistent target text. - Degree in Translation, Translation Technology or relevant experience. - Aptitude for analytics: Ability to understand and work with string-matching and edit metrics (e.g., explaining Edit Distance in a post editing context, understanding MQM-DQF frameworks etc.) Preferred Skills - Solid understanding of CAT tools and CMS/TMS systems in the localization industry - AI/LLM applications - knowledge of prompt engineering, RAG corpus management and familiarity with Vector Spaces - Basic knowledge of Python and Regex When You Apply - Please submit your resume in English. Resumes in any other language will not be reviewed. - Due to the high volume of applications, only shortlisted candidates will be contacted. Benefits As this is a remote position, benefits may vary depending on the employing entity and the candidate’s country/state of residence. Keywords is committed to creating a diverse, inclusive and supportive working environment. Keywords Studios is committed to fair and ethical hiring practices. We expect candidates to conduct themselves with honesty and to participate in all applications and interviews independently, presenting their own knowledge and experience. Candidates should refrain from using AI assistance or third-party tools or services that could influence, capture, or otherwise interfere with the authenticity of the assessment process. By providing your information in this application, you understand that we will collect and process your information in accordance with our Applicant Privacy Notice. For more information, please see our Applicant Privacy Notice at https://www.keywordsstudios.com/en/applicant-privacy-notice . Role Information: EN Studio: Keywords Studios Location: Asia Pacific, Mainland China, Japan, Korea, Singapore, Taiwan Area of Work: Localization Service: Globalize Employment Type: Full Time Working Pattern: Remote
Language AI Solutions Specialist
Company Overview At Keywords, we are using our passion for games, technology and media to create a global services platform for video games and beyond. Our aim is to become the “go to” provider of technical services. We enable leading content creators and publishers to leverage our expertise and capacity across the lifecycle of interactive content. In so doing we empower our clients to remain lean and agile, and to focus on creating the most engaging experiences. Keywords is trusted and relied upon by many of the world’s leading video game companies to work alongside them during concept, development and live operations by leveraging the breadth and depth of our industry leading service lines every step of the way. www.keywordsstudios.com Role Overview As a Language AI Solutions Specialist, you will bridge the gap between traditional localization and cutting-edge AI. You will be responsible for the end-to-end lifecycle of translation systems—from legacy Neural MT to modern LLM-based solutions. Your mission is to architect, tune, and deploy high-performance language models that drive global scalability while maintaining uncompromising linguistic quality. Key Deliverables - Hybrid Engine Deployment: Design, test, and certify Neural MT systems (KantanMT) and fine-tuned LLMs tailored to client-specific domains. - Performance Analytics: Deliver comprehensive quality reports, including Predictive TER scores, MQM-DQF/COMET/G-Eval metrics, and Human-in-the-Loop (HITL) evaluations. - Production Integration: Working closely with internal stakeholders (Development, Production, etc.) to oversee the seamless transition of validated models into live production environments. Core Responsibilities 1. AI Model Tuning & Optimization - Fine-Tuning & Hyperparameters: Execute supervised fine-tuning (SFT) on LLMs to align output with Client/Project specific style, voice, and domain-specific terminology. - RAG Corpus Management: Architect and maintain high-quality corpora for Retrieval-Augmented Generation, ensuring that vector databases are populated with clean, relevant, and deduplicated data. - Data Engineering: Perform advanced data analysis, cleansing, and data generation to prepare clean datasets for model training and tuning. - Output Verification: Utilize native-level linguistic expertise to perform deep-dive audits of NMT and LLM outputs, identifying nuanced errors such as hallucinations, cultural insensitivity, or tone inconsistency that automated metrics might miss. 2. Linguistic Asset Engineering - Modernization: Manage and optimize Translation Memories (TMs) and Termbases to serve as the foundational "ground truth" for AI training. - Quality Control: Implement and evolve Machine Translation Post-Editing (MTPE) workflows, integrating AI-assisted quality estimation (QE) to reduce manual overhead. 3. Analytics & Productivity Insights - Impact Metrics: Gather and analyze post-deployment data, focusing on Edit Distance, time-to-market reduction, and cost-per-word efficiency. - Stakeholder Reporting: Translate complex technical data into actionable insights for Program Managers and clients, recommending rebuilds or retraining cycles where necessary. 4. Operations & Troubleshooting - Technical Support: Serve as the escalation point for engine failures, API latency issues, or unexpected model "hallucinations.". - Process Documentation: Create "Living Documentation" for evolving AI workflows to ensure team-wide alignment and scalability. Requirements Required Skills - Fluent English and native level of any core Asian languages (Chinese, Japanese or Korean) - 3-4 years of experience in the localization industry, working as a Project Manager, Translator, Post-Editor or QA tester - Machine Translation Post Editing: Solid understanding of MTPE, proven track record in correcting NMT or LLM outputs for fluent, accurate and brand-consistent target text. - Degree in Translation, Translation Technology or relevant experience. - Aptitude for analytics: Ability to understand and work with string-matching and edit metrics (e.g., explaining Edit Distance in a post editing context, understanding MQM-DQF frameworks etc.) Preferred Skills - Solid understanding of CAT tools and CMS/TMS systems in the localization industry - AI/LLM applications - knowledge of prompt engineering, RAG corpus management and familiarity with Vector Spaces - Basic knowledge of Python and Regex When You Apply - Please submit your resume in English. Resumes in any other language will not be reviewed. - Due to the high volume of applications, only shortlisted candidates will be contacted. Benefits As this is a remote position, benefits may vary depending on the employing entity and the candidate’s country/state of residence. Keywords is committed to creating a diverse, inclusive and supportive working environment. Keywords Studios is committed to fair and ethical hiring practices. We expect candidates to conduct themselves with honesty and to participate in all applications and interviews independently, presenting their own knowledge and experience. Candidates should refrain from using AI assistance or third-party tools or services that could influence, capture, or otherwise interfere with the authenticity of the assessment process. By providing your information in this application, you understand that we will collect and process your information in accordance with our Applicant Privacy Notice. For more information, please see our Applicant Privacy Notice at https://www.keywordsstudios.com/en/applicant-privacy-notice . Role Information: EN Studio: Keywords Studios Location: Asia Pacific, Mainland China, Japan, Korea, Singapore, Taiwan Area of Work: Localization Service: Globalize Employment Type: Full Time Working Pattern: Remote
Language AI Solutions Specialist
Company Overview At Keywords, we are using our passion for games, technology and media to create a global services platform for video games and beyond. Our aim is to become the “go to” provider of technical services. We enable leading content creators and publishers to leverage our expertise and capacity across the lifecycle of interactive content. In so doing we empower our clients to remain lean and agile, and to focus on creating the most engaging experiences. Keywords is trusted and relied upon by many of the world’s leading video game companies to work alongside them during concept, development and live operations by leveraging the breadth and depth of our industry leading service lines every step of the way. www.keywordsstudios.com Role Overview As a Language AI Solutions Specialist, you will bridge the gap between traditional localization and cutting-edge AI. You will be responsible for the end-to-end lifecycle of translation systems—from legacy Neural MT to modern LLM-based solutions. Your mission is to architect, tune, and deploy high-performance language models that drive global scalability while maintaining uncompromising linguistic quality. Key Deliverables - Hybrid Engine Deployment: Design, test, and certify Neural MT systems (KantanMT) and fine-tuned LLMs tailored to client-specific domains. - Performance Analytics: Deliver comprehensive quality reports, including Predictive TER scores, MQM-DQF/COMET/G-Eval metrics, and Human-in-the-Loop (HITL) evaluations. - Production Integration: Working closely with internal stakeholders (Development, Production, etc.) to oversee the seamless transition of validated models into live production environments. Core Responsibilities 1. AI Model Tuning & Optimization - Fine-Tuning & Hyperparameters: Execute supervised fine-tuning (SFT) on LLMs to align output with Client/Project specific style, voice, and domain-specific terminology. - RAG Corpus Management: Architect and maintain high-quality corpora for Retrieval-Augmented Generation, ensuring that vector databases are populated with clean, relevant, and deduplicated data. - Data Engineering: Perform advanced data analysis, cleansing, and data generation to prepare clean datasets for model training and tuning. - Output Verification: Utilize native-level linguistic expertise to perform deep-dive audits of NMT and LLM outputs, identifying nuanced errors such as hallucinations, cultural insensitivity, or tone inconsistency that automated metrics might miss. 2. Linguistic Asset Engineering - Modernization: Manage and optimize Translation Memories (TMs) and Termbases to serve as the foundational "ground truth" for AI training. - Quality Control: Implement and evolve Machine Translation Post-Editing (MTPE) workflows, integrating AI-assisted quality estimation (QE) to reduce manual overhead. 3. Analytics & Productivity Insights - Impact Metrics: Gather and analyze post-deployment data, focusing on Edit Distance, time-to-market reduction, and cost-per-word efficiency. - Stakeholder Reporting: Translate complex technical data into actionable insights for Program Managers and clients, recommending rebuilds or retraining cycles where necessary. 4. Operations & Troubleshooting - Technical Support: Serve as the escalation point for engine failures, API latency issues, or unexpected model "hallucinations.". - Process Documentation: Create "Living Documentation" for evolving AI workflows to ensure team-wide alignment and scalability. Requirements Required Skills - Fluent English and native level of any core Asian languages (Chinese, Japanese or Korean) - 3-4 years of experience in the localization industry, working as a Project Manager, Translator, Post-Editor or QA tester - Machine Translation Post Editing: Solid understanding of MTPE, proven track record in correcting NMT or LLM outputs for fluent, accurate and brand-consistent target text. - Degree in Translation, Translation Technology or relevant experience. - Aptitude for analytics: Ability to understand and work with string-matching and edit metrics (e.g., explaining Edit Distance in a post editing context, understanding MQM-DQF frameworks etc.) Preferred Skills - Solid understanding of CAT tools and CMS/TMS systems in the localization industry - AI/LLM applications - knowledge of prompt engineering, RAG corpus management and familiarity with Vector Spaces - Basic knowledge of Python and Regex When You Apply - Please submit your resume in English. Resumes in any other language will not be reviewed. - Due to the high volume of applications, only shortlisted candidates will be contacted. Benefits As this is a remote position, benefits may vary depending on the employing entity and the candidate’s country/state of residence. Keywords is committed to creating a diverse, inclusive and supportive working environment. Keywords Studios is committed to fair and ethical hiring practices. We expect candidates to conduct themselves with honesty and to participate in all applications and interviews independently, presenting their own knowledge and experience. Candidates should refrain from using AI assistance or third-party tools or services that could influence, capture, or otherwise interfere with the authenticity of the assessment process. By providing your information in this application, you understand that we will collect and process your information in accordance with our Applicant Privacy Notice. For more information, please see our Applicant Privacy Notice at https://www.keywordsstudios.com/en/applicant-privacy-notice . Role Information: EN Studio: Keywords Studios Location: Asia Pacific, Mainland China, Japan, Korea, Singapore, Taiwan Area of Work: Localization Service: Globalize Employment Type: Full Time Working Pattern: Remote
DevOps Engineer SE II - GCP & AI
Responsibilities: - Infrastructure Ownership: Own Helpshift production services and ensure complete monitoring coverage, troubleshoot and fix production issues. - Infrastructure as Code (IaC): Design and maintain scalable GCP infrastructure using Terraform o - AI Orchestration & LLMOps: Build deployment pipelines for AI agents, managing vector databases (e.g., Vertex AI Search, Pinecone, Weaviate, ElasticSearch) and model endpoints. - Security (DevSecOps): Implement "Security-by-Design," including IAM least-privilege access, secret management (Secret Manager), and automated vulnerability scanning for AI workloads. - CI/CD Excellence: Architect high-velocity pipelines for both traditional microservices and AI model prompts/configurations. Design, implement, and maintain secure CI/CD pipelines for automating deployment, configuration, and testing processes. - Observability: Set up comprehensive monitoring for system health and LLM-specific metrics (latency, token usage, and cost) - Cloud Governance: Optimise GCP costs and manage resource quotas, especially for GPU/TPU-intensive AI tasks. - Cross Cloud Deployment: Establish & Optimise the connectivity among apps deployed in different cloud environments (AWS GCP) Requirements Requirements - Relevant experience of 6+ years and above - Expert-level Google Cloud Platform (GCP) administration skills: GKE, Cloud Run, Vertex AI, GCS, NEG etc - Experience deploying Vector Databases (Pinecone, Weaviate, ElasticSearch or Vertex Search) and managing API rate limits/throttling for LLM providers. - Setting up Cloud Monitoring/Logging specifically for AI metrics: token consumption, inference latency, and model error rates. - In-depth knowledge of running/managing UNIX-like operating systems (we use Ubuntu) - Strong knowledge of networking protocols, security architectures, and identity and access management (IAM) principles. - Experience with containerisation technologies (e.g., Docker, Kubernetes) and securing containerised environments. - Proficiency in Python and Bash - Experience in designing and building solutions that are highly scalable, fault tolerant and cost-effective - Experience with IaaC tools like Ansible, Terraform. - Ability to analyse bottlenecks in architecture and quickly debug to reach a resolution for issues - Have an automation mindset and ability to reason and work with complex systems. - Excellent communication and documentation skills - Quick learner and good mentor for junior team members
AI 流程与自动化专员
Company Profile: 公司简介： Keywords Studios is an international service provider in the global video games industry with studios in Madrid, Dublin, London, Barcelona, Milan, Tokyo, Singapore, Shanghai, New Delhi, Pune, Montreal, Seattle, Los Angeles, Mexico City, Portland, Raleigh, Orlando, and Rio de Janeiro (among others!). With over 5,000 employees passionate about games around the world, we provide a range of translation, testing, audio, customer care, engineering and art production services to Video Game Developers and Publishers alike. Keywords工作室是一家全球电子游戏行业的国际服务提供商，在马德里，都柏林，伦敦，巴塞罗那，米兰，东京，新加坡，上海，新德里，普纳，蒙特利尔，西雅图，洛杉矶，墨西哥城，波特兰，罗利，奥拉多和里约热内卢（此外还有！）设有工作室。我们在全球拥有超过5000名热爱游戏的员工，在全球范围内为电子游戏开发商和发行商提供一系列的翻译，测试，音频，客户关怀，工程和美术制作服务。 Role Overview: 我们正在寻找一位对 AI 工具充满热情、具备敏锐业务触觉的 AI 流程与自动化专家。你将成为我们工作室的 “效率引擎” ，负责将前沿的 AI 技术（如大语言模型、自动化工作流、AI Agent 等）深度融入到我们的日常管理和项目管理中。你的目标是通过技术手段消除重复性工作、优化跨部门协作、提升项目交付效率，用 AI 赋能团队。 核心职责 (Key Responsibilities): -深入分析工作室现有的管理和项目流程，精准识别效率瓶颈、信息孤岛和高频重复性工作。 -熟练利用主流 AI 工具和自动化平台（如 Make, Zapier, Coze, Dify 等），设计、搭建并维护自动化的项目管理与内部管理工作流。 -特定的工作场景（如周报自动生成、合同审核、项目排期、资产管理等），编写高效的 Prompt，或开发定制化的 AI Bots/Agents。 -将 AI 工具与工作室现有的项目管理软件（如 Notion, Teambition, Monday.com, Jira 等）及通讯工具（如飞书、企业微信、Slack）进行深度整合，实现数据打通。 -制定 AI 工具使用规范，编制操作指南，并对工作室内部成员进行培训，提升全员的 AI 素养和工具使用效率。 -持续追踪最新的 AI 工具和技术趋势，根据团队反馈不断迭代已有的自动化流程，确保系统的高效与稳定。 Requirements -1-3 年及以上项目管理、运营管理或数字化转型相关经验，有成功落地 AI 自动化项目案例者优先（请在简历中附带作品或案例说明）。 -熟练掌握 ChatGPT, Claude, Midjourney 等主流 AI 工具； -对 Prompt Engineering (提示词工程) 有深刻理解。熟练使用 Zapier、Make (Integromat)、Dify、Coze、Flowith 等至少一种自动化或 AI 编排工具。 -熟悉敏捷开发、Scrum 或传统项目管理流程，能够清晰定义项目里程碑与交付标准。 -具备极强的逻辑思维能力和 “技术折腾精神” ，面对未知问题能通过研究 API 文档、社区讨论自主找到解决方案。 -具备优秀的跨部门沟通能力，能将复杂的 “技术语言” 转化为团队听得懂的 “业务语言” 。 加分项： -具备基础的编程能力（如 Python, JavaScript），能编写简单的脚本或调用 API 处理复杂数据。 -有 Notion 深度使用经验，或精通 Notion Formula/Database 联动者。 Benefits Base salary, Bonus, Social insurance and housing funds, Medical check-up, EAP Program 基本工资、奖金、五险一金、体检、员工心理关爱计划
AI Revenue Growth Manager
Key Responsibilities - Identify, qualify and convert new business opportunities with named frontier AI labs, physical AI and robotics customers, and enterprise AI buyers across China, building and managing a robust pipeline aligned to ambitious revenue targets. - Develop and execute the regional go-to-market strategy for Keywords AI Data Services, including market mapping, account prioritisation, ICP refinement and proactive outbound prospecting through networking, research, referrals and digital channels. - Lead consultative, solution-based sales engagements end-to-end: diagnose client problems, position Keywords’ AI data services portfolio (data annotation, model evaluation, red-teaming, embodied AI data) and articulate quantifiable ROI to technical, commercial and C-suite stakeholders. - Own complex deal cycles end-to-end, from first contact through proposal, negotiation, contracting and successful handover to delivery teams in Singapore, India and across the global studio network. - Build and nurture long-term, trust-based relationships with clients, partners and industry influencers — positioning Keywords as a strategic advisor rather than a transactional vendor. - Develop client-centric proposals and commercial models that clearly demonstrate Keywords’ unique value proposition versus pure-play data labelling competitors and in-house alternatives. - Provide structured market intelligence and competitive insight back into the AI Data Services leadership team to inform product, pricing, packaging and positioning decisions. - Forecast accurately and maintain disciplined CRM hygiene, taking full ownership of pipeline integrity, conversion metrics and quarterly revenue outcomes. - Collaborate cross-functionally with delivery, technical leadership (Singapore-based), marketing and operations teams to ensure proposed solutions are feasible and that engagements are structured for long-term account growth. Requirements Education & Experience - Bachelor’s degree in Business Administration, Marketing, Economics, Engineering, Computer Science or a related discipline; an MBA or relevant advanced certifications (sales methodologies, negotiation, AI/ML literacy) is advantageous. - 8–12 years of progressive experience in enterprise sales, business development or strategic account management within a solutions-oriented B2B environment, with a demonstrable track record of consistently exceeding revenue targets. - Direct experience selling into AI labs, hyperscalers, foundation model companies, robotics platforms or large technology buyers is strongly preferred, with an established network of decision-makers in at least one of these segments. - Proven success in launching new service offerings, opening new market segments or building a regional book of business from a low base — comfort with ambiguity and white-space selling is essential. - Working knowledge of the AI services landscape (data annotation, RLHF, evaluation, red-teaming, synthetic data, embodied AI data pipelines) and fluency with frontier model providers, agentic AI and the application of LLMs in enterprise contexts. Benefits Base salary, Bonus, Social insurance and housing funds, Medical check-up, EAP Program
AI Revenue Growth Manager
Key Responsibilities - Identify, qualify and convert new business opportunities with named frontier AI labs, physical AI and robotics customers, and enterprise AI buyers across China, building and managing a robust pipeline aligned to ambitious revenue targets. - Develop and execute the regional go-to-market strategy for Keywords AI Data Services, including market mapping, account prioritisation, ICP refinement and proactive outbound prospecting through networking, research, referrals and digital channels. - Lead consultative, solution-based sales engagements end-to-end: diagnose client problems, position Keywords’ AI data services portfolio (data annotation, model evaluation, red-teaming, embodied AI data) and articulate quantifiable ROI to technical, commercial and C-suite stakeholders. - Own complex deal cycles end-to-end, from first contact through proposal, negotiation, contracting and successful handover to delivery teams in Singapore, India and across the global studio network. - Build and nurture long-term, trust-based relationships with clients, partners and industry influencers — positioning Keywords as a strategic advisor rather than a transactional vendor. - Develop client-centric proposals and commercial models that clearly demonstrate Keywords’ unique value proposition versus pure-play data labelling competitors and in-house alternatives. - Provide structured market intelligence and competitive insight back into the AI Data Services leadership team to inform product, pricing, packaging and positioning decisions. - Forecast accurately and maintain disciplined CRM hygiene, taking full ownership of pipeline integrity, conversion metrics and quarterly revenue outcomes. - Collaborate cross-functionally with delivery, technical leadership (Singapore-based), marketing and operations teams to ensure proposed solutions are feasible and that engagements are structured for long-term account growth. Requirements Education & Experience - Bachelor’s degree in Business Administration, Marketing, Economics, Engineering, Computer Science or a related discipline; an MBA or relevant advanced certifications (sales methodologies, negotiation, AI/ML literacy) is advantageous. - 8–12 years of progressive experience in enterprise sales, business development or strategic account management within a solutions-oriented B2B environment, with a demonstrable track record of consistently exceeding revenue targets. - Direct experience selling into AI labs, hyperscalers, foundation model companies, robotics platforms or large technology buyers is strongly preferred, with an established network of decision-makers in at least one of these segments. - Proven success in launching new service offerings, opening new market segments or building a regional book of business from a low base — comfort with ambiguity and white-space selling is essential. - Working knowledge of the AI services landscape (data annotation, RLHF, evaluation, red-teaming, synthetic data, embodied AI data pipelines) and fluency with frontier model providers, agentic AI and the application of LLMs in enterprise contexts. Benefits Base salary, Bonus, Social insurance and housing funds, Medical check-up, EAP Program
AI Revenue Growth Manager
Key Responsibilities - Identify, qualify and convert new business opportunities with named frontier AI labs, physical AI and robotics customers, and enterprise AI buyers across China, building and managing a robust pipeline aligned to ambitious revenue targets. - Develop and execute the regional go-to-market strategy for Keywords AI Data Services, including market mapping, account prioritisation, ICP refinement and proactive outbound prospecting through networking, research, referrals and digital channels. - Lead consultative, solution-based sales engagements end-to-end: diagnose client problems, position Keywords’ AI data services portfolio (data annotation, model evaluation, red-teaming, embodied AI data) and articulate quantifiable ROI to technical, commercial and C-suite stakeholders. - Own complex deal cycles end-to-end, from first contact through proposal, negotiation, contracting and successful handover to delivery teams in Singapore, India and across the global studio network. - Build and nurture long-term, trust-based relationships with clients, partners and industry influencers — positioning Keywords as a strategic advisor rather than a transactional vendor. - Develop client-centric proposals and commercial models that clearly demonstrate Keywords’ unique value proposition versus pure-play data labelling competitors and in-house alternatives. - Provide structured market intelligence and competitive insight back into the AI Data Services leadership team to inform product, pricing, packaging and positioning decisions. - Forecast accurately and maintain disciplined CRM hygiene, taking full ownership of pipeline integrity, conversion metrics and quarterly revenue outcomes. - Collaborate cross-functionally with delivery, technical leadership (Singapore-based), marketing and operations teams to ensure proposed solutions are feasible and that engagements are structured for long-term account growth. Requirements Education & Experience - Bachelor’s degree in Business Administration, Marketing, Economics, Engineering, Computer Science or a related discipline; an MBA or relevant advanced certifications (sales methodologies, negotiation, AI/ML literacy) is advantageous. - 8–12 years of progressive experience in enterprise sales, business development or strategic account management within a solutions-oriented B2B environment, with a demonstrable track record of consistently exceeding revenue targets. - Direct experience selling into AI labs, hyperscalers, foundation model companies, robotics platforms or large technology buyers is strongly preferred, with an established network of decision-makers in at least one of these segments. - Proven success in launching new service offerings, opening new market segments or building a regional book of business from a low base — comfort with ambiguity and white-space selling is essential. - Working knowledge of the AI services landscape (data annotation, RLHF, evaluation, red-teaming, synthetic data, embodied AI data pipelines) and fluency with frontier model providers, agentic AI and the application of LLMs in enterprise contexts. Benefits Base salary, Bonus, Social insurance and housing funds, Medical check-up, EAP Program
AI Revenue Growth Manager
Key Responsibilities - Identify, qualify and convert new business opportunities with named frontier AI labs, physical AI and robotics customers, and enterprise AI buyers across China, building and managing a robust pipeline aligned to ambitious revenue targets. - Develop and execute the regional go-to-market strategy for Keywords AI Data Services, including market mapping, account prioritisation, ICP refinement and proactive outbound prospecting through networking, research, referrals and digital channels. - Lead consultative, solution-based sales engagements end-to-end: diagnose client problems, position Keywords’ AI data services portfolio (data annotation, model evaluation, red-teaming, embodied AI data) and articulate quantifiable ROI to technical, commercial and C-suite stakeholders. - Own complex deal cycles end-to-end, from first contact through proposal, negotiation, contracting and successful handover to delivery teams in Singapore, India and across the global studio network. - Build and nurture long-term, trust-based relationships with clients, partners and industry influencers — positioning Keywords as a strategic advisor rather than a transactional vendor. - Develop client-centric proposals and commercial models that clearly demonstrate Keywords’ unique value proposition versus pure-play data labelling competitors and in-house alternatives. - Provide structured market intelligence and competitive insight back into the AI Data Services leadership team to inform product, pricing, packaging and positioning decisions. - Forecast accurately and maintain disciplined CRM hygiene, taking full ownership of pipeline integrity, conversion metrics and quarterly revenue outcomes. - Collaborate cross-functionally with delivery, technical leadership (Singapore-based), marketing and operations teams to ensure proposed solutions are feasible and that engagements are structured for long-term account growth. Requirements Education & Experience - Bachelor’s degree in Business Administration, Marketing, Economics, Engineering, Computer Science or a related discipline; an MBA or relevant advanced certifications (sales methodologies, negotiation, AI/ML literacy) is advantageous. - 8–12 years of progressive experience in enterprise sales, business development or strategic account management within a solutions-oriented B2B environment, with a demonstrable track record of consistently exceeding revenue targets. - Direct experience selling into AI labs, hyperscalers, foundation model companies, robotics platforms or large technology buyers is strongly preferred, with an established network of decision-makers in at least one of these segments. - Proven success in launching new service offerings, opening new market segments or building a regional book of business from a low base — comfort with ambiguity and white-space selling is essential. - Working knowledge of the AI services landscape (data annotation, RLHF, evaluation, red-teaming, synthetic data, embodied AI data pipelines) and fluency with frontier model providers, agentic AI and the application of LLMs in enterprise contexts. Benefits Base salary, Bonus, Social insurance and housing funds, Medical check-up, EAP Program
AI Revenue Growth Manager
The AI Revenue Growth Manager will lead commercial development and revenue generation for Keywords AI Data Services across the UK and EMEA, identifying, qualifying and closing new business opportunities with frontier AI labs and physical / embodied AI customers. Reporting directly to the General Manager of Keywords AI Data Services, this is a senior individual contributor role, mission-critical to the launch and scaling of Keywords’ newest service line. The role combines strategic market hunting, consultative solution selling and trusted advisory relationship-building, translating Keywords’ proprietary data networks, specialist labour pools and AI service capabilities into measurable client outcomes and a predictable, defensible revenue pipeline. The named target landscape includes frontier LLM labs (Anthropic, OpenAI, Google DeepMind, Mistral, Cohere), physical AI and robotics platforms (Wayve, Isomorphic Labs, NVIDIA, Figure, 1X, Skild AI), and adjacent enterprise AI buyers across UK and EMEA. - Identify, qualify and convert new business opportunities with named frontier AI labs, physical AI and robotics customers, and enterprise AI buyers across UK and EMEA, building and managing a robust pipeline aligned to ambitious revenue targets. - Develop and execute the regional go-to-market strategy for Keywords AI Data Services, including market mapping, account prioritisation, ICP refinement and proactive outbound prospecting through networking, research, referrals and digital channels. - Lead consultative, solution-based sales engagements end-to-end: diagnose client problems, position Keywords’ AI data services portfolio (data annotation, model evaluation, red-teaming, embodied AI data) and articulate quantifiable ROI to technical, commercial and C-suite stakeholders. - Own complex deal cycles end-to-end, from first contact through proposal, negotiation, contracting and successful handover to delivery teams in Singapore, India and across the global studio network. - Build and nurture long-term, trust-based relationships with clients, partners and industry influencers — positioning Keywords as a strategic advisor rather than a transactional vendor. - Develop client-centric proposals and commercial models that clearly demonstrate Keywords’ unique value proposition versus pure-play data labelling competitors and in-house alternatives. - Provide structured market intelligence and competitive insight back into the AI Data Services leadership team to inform product, pricing, packaging and positioning decisions. - Forecast accurately and maintain disciplined CRM hygiene, taking full ownership of pipeline integrity, conversion metrics and quarterly revenue outcomes. - Collaborate cross-functionally with delivery, technical leadership (Singapore-based), marketing and operations teams to ensure proposed solutions are feasible and that engagements are structured for long-term account growth. Requirements Education & Experience ·Bachelor’s degree in Business Administration, Marketing, Economics, Engineering, Computer Science or a related discipline; an MBA or relevant advanced certifications (sales methodologies, negotiation, AI/ML literacy) is advantageous. · 8–12 years of progressive experience in enterprise sales, business development or strategic account management within a solutions-oriented B2B environment, with a demonstrable track record of consistently exceeding revenue targets. · Direct experience selling into AI labs, hyperscalers, foundation model companies, robotics platforms or large technology buyers is strongly preferred, with an established network of decision-makers in at least one of these segments. · Proven success in launching new service offerings, opening new market segments or building a regional book of business from a low base — comfort with ambiguity and white-space selling is essential. · Working knowledge of the AI services landscape (data annotation, RLHF, evaluation, red-teaming, synthetic data, embodied AI data pipelines) and fluency with frontier model providers, agentic AI and the application of LLMs in enterprise contexts. Skills & Attributes ·Strategic acumen combined with operational rigour: able to set a regional revenue agenda and personally execute against it, calmly and consistently in a fast-moving, ambiguous environment. · Exceptional consultative selling and storytelling skills — translating technical AI service features into tangible business benefits and credible ROI for both technical and executive buyers. ·Master negotiator and relationship builder, skilled at finding win-win commercial structures, navigating procurement and closing mutually profitable deals with sophisticated counterparties. ·Deeply empathetic and intellectually curious: actively listens to client pain points, integrates their viewpoints into more effective solution design, and stays continuously updated on AI industry shifts and competitive moves. · A builder’s mindset: resilient, accountable and self-motivated, energised by creating pipeline where there is none and building Keywords’ AI services franchise from the ground up. Benefits Benefits: - Holiday - 25 days per annum + UK Bank Holidays - BUPA Medical and Dental coverage - Group Income Protection - Group Life Assurance - Employee Assistance Program (EAP) - Enhanced Employer Pension Contributions - Cycle Scheme - Tech Scheme - Electric Car Scheme - This opportunity is being offered on a hybrid working basis at our London location. Keywords Studios is dedicated to following a well-established Equal Opportunities Policy. We endeavour to create a workplace which provides for equal opportunities for all employees and potential employees. PERSONAL DATA PROTECTION POLICY Keywords Studios is strongly committed to protecting your personal information. By sending your CV/Resume, you are agreeing to our terms and conditions and consent to your data being managed and retained in accordance with our data privacy and retention policy ( https://www.keywordsstudios.com/privacy-policy).
AI Engineer - NLP & Generative AI
About the Role We are looking for a Backend AI Engineer to join our AI engineering team and help build and scale backend systems that power AI Agents for the gaming industry, handling millions of customer support tickets at scale. In this role, you will work on high-throughput backend services, AI-powered workflows, and retrieval-based systems that support large-scale customer support automation. You will collaborate closely with AI Engineers, ML Engineers, and Product teams to design, build, deploy, and operate reliable backend systems that integrate AI components such as RAG pipelines and AI Agent orchestration. This is an excellent opportunity to work on production-grade AI systems operating at massive scale, where performance, reliability, and observability are critical. What You’ll Do: - Design, develop, and maintain scalable backend services and APIs using Python and frameworks like FastAPI. - Build and integrate backend workflows supporting AI Agents and customer support automation use cases. - Develop secure and performant REST APIs for internal and external consumers. - Integrate AI components such as RAG pipelines, embedding services, and inference APIs into backend systems. - Work with databases including MongoDB, YugabyteDB, and PostgreSQL to support high-scale, low-latency workloads. - Containerize applications using Docker and deploy/manage services on Kubernetes (K8s). - Deploy and operate services on AWS and GCP cloud platforms. - Implement and maintain CI/CD pipelines, and actively participate in CM/CR release processes. - Use observability tools such as Grafana, Elasticsearch, and Kibana to monitor system health, debug issues, and improve reliability. - Write clean, testable, and maintainable code; participate in code reviews and design discussions. - Troubleshoot and resolve production issues related to scalability, performance, and reliability. Requirements What You’ll Bring - 3–5 years of experience in backend software development. - Strong hands-on experience with Python and backend frameworks, especially FastAPI. - Experience building backend APIs and workflow integrations. - Solid understanding of databases such as MongoDB, PostgreSQL, and YugabyteDB. - Hands-on experience with Docker and working knowledge of Kubernetes. - Familiarity with AWS and GCP cloud services. - Good understanding of CI/CD concepts, build pipelines, and CM/CR release processes. - Working knowledge of observability and logging systems like Grafana, Elasticsearch, and Kibana. - Basic to intermediate understanding of AI systems, especially Retrieval-Augmented Generation (RAG). - Strong problem-solving skills and ability to work effectively in a collaborative team environment. Good to Have / Plus Skills - Experience with Jenkins for CI/CD automation. - Familiarity with MCP concepts and AI orchestration frameworks. - Hands-on exposure to AI/LLM-based systems, embeddings, or vector search. - Experience or familiarity with Clojure. - Knowledge of the Gaming industry or Customer Support domain. - Experience working in high-scale, high-traffic production systems. Bonus Points - Experience building or operating AI Agents in production environments. - Exposure to distributed systems, event-driven architectures, or message queues. - Interest in AI reliability, evaluation, and system observability at scale. Benefits - Hybrid setup - Worker's insurance - Paid Time Offs - Other employee benefits to be discussed by our Talent Acquisition team in India. Helpshift embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, sexual orientation, gender identity, religion, national origin, citizenship, marital status, veteran status, or disability status Privacy Notice By providing your information in this application, you understand that we will collect and process your information in accordance with our Applicant Privacy Notice. For more information, please see our Applicant Privacy Notice at https://www.keywordsstudios.com/en/applicant-privacy-notice .
AI Engineer
About Us Keywords Studios is a leading global provider of technical and creative services to the video game and entertainment industries. With a network of over 70 studios across 26 countries, we partner with the world's most renowned game developers and publishers to deliver end-to-end solutions. Our expertise spans game development, art production, localization, audio services, functional and linguistic testing, and much more. At Keywords, we foster a culture of collaboration, innovation, and excellence, empowering our teams to create world-class gaming experiences that captivate audiences worldwide. In India, the company is headquartered in Gurgaon and has facilities in Bangalore and Pune. Join us in shaping the future of gaming and entertainment through technology! Role Overview We are looking for a passionate and skilled AI Engineer to build next-generation applications. You will play a key role in developing, deploying, and optimizing state-of-the-art Al models to power intelligent solutions that impact millions of users. This role heavily focuses on generative AI, Large Language Models (LLMs), and integrating sophisticated agentic workflows into production environments. ● Design, develop, and deploy advanced AI solutions focused on generative capabilities and conversational Al. ● Build context-aware, autonomous AI agents using modern frameworks to solve complex business logic and automate workflows. ● Collaborate with data engineers to preprocess and curate large datasets for training and testing models. ● Experiment with state-of-the-art machine learning algorithms and fine-tune foundation models for production. ● Build and deploy scalable, production-ready AI pipelines. ● Analyze and optimize the performance of AI models to meet business requirements. ● Stay updated with the latest advancements in GenAI, LLMs, and agentic systems, and propose innovative solutions to enhance products. Requirements Required Skills and Qualifications ● Education: Bachelor's or Master's degree or PhD. in Computer Science, Data Science, or a related field. ● Experience: 3 to 6 years of professional experience in building ML/AI models with a focus on modern LLM implementations. Technical Skills: ○ Strong proficiency in Python and experience with advanced AI/LLM ecosystem libraries (e.g., transformers, vLLM, accelerate, PEFT/LoRA, or DSPy). ○ Experience in building and deploying RESTful APIs using FastAPI or Flask to serve AI models in production. ○ Strong expertise in building applications using LLMs (e.g., Gemini, GPT-4, Claude) and modern orchestration frameworks like LangChain or LlamaIndex. ○ Hands-on experience with modern developer tools, including the Google AI SDK and OpenAI SDK, N8N. ○ Deep understanding of AI agentic frameworks (e.g., LangGraph, AutoGen, CrewAI) and how to orchestrate multi-agent systems. ○ Familiarity with vector databases, Retrieval-Augmented Generation (RAG) pipelines, and modern backend-as-a-service platforms like Supabase. ○ Knowledge of the Model Context Protocol (MCP) to securely connect AI models with external data sources and tools. ○ Experience in developing and fine-tuning deep learning models using TensorFlow or PyTorch. ○ Knowledge of cloud platforms (AWS, Azure, or GCP) for deploying ML models. ● Soft Skills: ○ Strong problem-solving abilities and analytical mindset. ○ Excellent communication skills to convey complex ideas effectively. ○ Ability to work collaboratively in a team-oriented environment. Preferred Qualifications ● Knowledge about advanced prompt engineering techniques (e.g., Few-Shot, Chain-of-Thought, ReAct) is a strong good-to-have. ● Experience with fine-tuning large language models (LLMs) for domain-specific tasks. ● Exposure to multimodal learning (integrating vision and language models). ● Knowledge of LLMOps/MLOps practices, including containerization and CI/CD pipelines. ● Publications or contributions to open-source projects in modern AI domains. Benefits What We Offer ● Competitive salary and performance bonuses. ● Opportunity to work on exciting, cutting-edge projects. ● Flexible working hours and a collaborative environment. ● Professional growth opportunities through training and mentorship. ● Health insurance, Learning budgets, etc. ● MacBook for effective work and productivity. ● Disconnect Week during Christmas to new year. Role Information: EN Studio: Keywords Studios Location: Asia Pacific, India Area of Work: AI Service: Game Developement Employment Type: Full Time Working Pattern: In-Office
Senior Machine Learning Engineer - H/F/NB
Description de l'entreprise Ubisoft est une référence mondiale du jeu vidéo, avec des équipes réparties aux quatre coins du monde qui créent des expériences de jeu originales et mémorables, de Assassin’s Creed à Rainbow Six en passant par Just Dance et bien d’autres encore. Nous croyons que la diversité des points de vue fait progresser à la fois les joueurs et les équipes. Si vous êtes passionné·e par l’innovation et que vous souhaitez repousser les limites du divertissement, rejoignez notre aventure et aidez-nous à créer l’inconnu ! Studio pionnier d’Ubisoft, le studio de Paris est à l’origine des premiers succès de l’éditeur suite à sa création en 1992. Il est aujourd’hui à la tête de licences incontournables comme Just Dance, Ghost Recon ou Mario + The Lapins Crétins. Ubisoft Paris s’est également construit une solide réputation comme partenaire de choix dans les collaborations inter-studios comme Watch Dogs, Skull & Bones, Beyond Good & Evil 2 ou encore Star Wars. Fort de cette expérience, le studio continue d’aller plus loin en termes de créativité en travaillant sur des projets très prometteurs encore non-annoncés. Regroupant 750 talents de 35 nationalités, Ubisoft Paris est aujourd’hui le plus grand studio de France et l’un des plus expérimentés de l’industrie. Les jeunes talents peuvent bénéficier de la présence importante de profils seniors, dans les métiers créatifs, techniques ou artistiques. Chacun·e reste animé·e par la même passion : repousser les limites du possible et proposer de nouvelles expériences à nos joueurs et joueuses. Prêt·es à rallier l’aventure ? Rejoignez-nous au Studio de Paris ! Description du poste En nous rejoignant en tant que Senior Machine Learning Engineer (H/F/NB) , vous intégrerez une équipe multidisciplinaire (data, programmation, game & narrative design, animation, etc.), guidée par une question simple et ambitieuse : parmi toutes les possibilités offertes par l’IA générative, lesquelles sont réellement intéressantes et fun pour le gameplay ? L’équipe a pour mission de tester de nouvelles expériences auprès de joueurs et joueuses, et d’équiper les créateur·rices pour imaginer des interactions plus dynamiques, immersives et surprenantes — jusqu’à faire émerger des features impossibles à réaliser autrement. Son quotidien s’inscrit à la croisée de la R&D, du développement produit, de la création de jeux courts et de la collaboration multi-studios, au service des gameplays de demain. Au sein de l’équipe responsable de l’analyse des données et des projets data science, détachée dans une production de jeu vidéo, vous apportez vos connaissances en Machine Learning et en analyse de données en général aux équipes de développement afin d’exploiter le potentiel de l’Intelligence Artificielle au sein du design de nos jeux. Vos missions seront les suivantes : - Contribuer à la faisabilité technique des systèmes gameplay basés sur l’IA. - Identifier des algorithmes pertinents (génératifs, information retrieval, classification…) et les adapter pour un usage production (fine-tuning, optimisation, intégration). - Mettre en place les processus d’évaluation pertinents - Déployer ces algorithmes sur des cloud internes ou externes de manière robuste et scalable, en suivant les meilleurs pratiques en terme de développement et de MLOps, en collaboration avec les ingénieurs du projets - Implémenter des techniques à partir de papiers de recherche dans une démarche d'innovation/R&D Qualifications - Vous disposez de plusieurs expériences significatives en tant que Machine Learning Engineer et avez mis en production différents algorithmes de Generative AI, - Vous avez une connaissance poussée des algorithmes de NLP (comme SentenceBERT, Llama 2, Mistral ou Qwen 3) et vous savez les fine-tuner, - Vous avez une bonne maitrise de Python et de Tensorflow ou PyTorch, - Vous avez une première expérience avec Docker, - Le jeu vidéo est une passion pour vous, - Votre très bonne capacité d’écoute et de compréhension vous permet de traduire facilement les besoins des clients en spécifications, - Vous êtes en mesure d’adapter vos analyses et votre discours pour atteindre un large public, - Vous faites preuve d’autonomie et de curiosité. - Enfin, votre aisance en anglais vous permet d’échanger à l’écrit comme à l’oral avec des interlocuteurs variés. Ce sont des + : - Vous avez une bonne maitrise du C++, C# ou Rust - Vous savez comment utiliser des LLM (du prompt engineering aux approches plus complexes comme Tree of Thoughts) - Vous savez comment optimiser la taille et le temps d’inférence des modèles (ex : quantization, LoRA…) - Vous avez une affinité avec les jeux de rôle, les jeux narratifs... Informations supplémentaires En tant qu’employeur, Ubisoft offre à tous les mêmes opportunités d’accès à l’emploi, sans distinction notamment de genre, ethnicité, religion, orientation sexuelle, statut social, handicap et d’âge. Ubisoft veille à développer un environnement de travail inclusif qui reflète la diversité de sa communauté de joueurs dans ses équipes.
Senior AI Programmer
Company Description Ubisoft is a global leader in gaming with teams across the world creating original and memorable gaming experiences, from Assassin’s Creed, Rainbow Six to Just Dance and more. We believe diverse perspectives help both players and teams thrive. If you’re passionate about innovation and pushing entertainment boundaries, join our journey and help create the unknown! Job Description We’re a small, empowered team building an ambitious multiplayer experience, developed in Unreal Engine. We’re looking for hands‑on developers with a strong execution mindset, ownership, and pride in building something real—together. What you’ll do - Design, implement, and maintain real‑time gameplay AI systems in Unreal Engine - Own AI behaviors end to end: architecture, implementation, debugging, tuning, and optimization in real gameplay conditions. - Work closely with gameplay, animation, tech design, and networking teams to deliver readable, systemic, high‑quality, and debuggable AI, compatible with a server‑authoritative architecture. - Maintain a constant focus on performance and scalability (CPU, AI budgets, behavioral LODs, agent counts, network impact), with a clear priority on stability and “always playable” gameplay. - Act as a senior, hands‑on, pragmatic contributor: write code daily, mentor others, challenge over‑engineered solutions, share best practices, and help secure the delivery of critical AI features. Qualifications What You Bring - Around 5 years of experience in AI programming, ideally in the video game industry - Proficiency in C++ language - An undergraduate degree in Computer Science, Computer Engineering or equivalent - Experience developing on video game consoles - That rare mix of attention to detail and flexibility in your work organization - A proficiency to communicate with all disciplines and to support and elevate the team in terms of quality and vision of the game - You are creative and thirsty for innovation Nice to Have - Experience as part of a team that has shipped a video game
Data Scientist Assistant - Alternance (12 mois) Oc...
Description de l'entreprise Ubisoft est une référence mondiale du jeu vidéo, avec des équipes réparties aux quatre coins du monde qui créent des expériences de jeu originales et mémorables, de Assassin’s Creed à Rainbow Six en passant par Just Dance et bien d’autres encore. Nous croyons que la diversité des points de vue fait progresser à la fois les joueurs et les équipes. Si vous êtes passionné·e par l’innovation et que vous souhaitez repousser les limites du divertissement, rejoignez notre aventure et aidez-nous à créer l’inconnu ! Description du poste Au sein de l’équipe Brand & Portfolio Management (BPM), vous rejoindrez le pôle Data Science Modélisation (DSM), dont les missions visent à décrire et prédire le marché vidéoludique dans son ensemble sous différents angles : succès des jeux, motivation et satisfaction des joueur·euses, analyse des sujets de discussion, évolution du comportement des joueur·euses dans le temps, etc. Dans le cadre de nos missions, nous portons beaucoup d’attention à modéliser et comprendre le comportement des joueur·euses sur les réseaux sociaux, dans le but d’améliorer continuellement nos jeux en écoutant leurs retours. Nous sommes à la recherche d’un·e alternant·e data science qui sera partie intégrante de l’équipe et qui prendra une part active au développement de nos outils et études. Votre rôle sera notamment de : - Développer des modèles de NLP pour mieux comprendre les éléments appréciés par les joueur·euses ; - Modéliser le profil des différentes audiences de jeux vidéo à partir de leur comportement sur les réseaux sociaux ; - Collaborer avec une équipe d’analystes afin de créer des outils adaptés à leurs besoins ; - Construire des visualisations adaptées pour communiquer les enseignements de vos analyses ; - Explorer et/ou proposer de nouvelles approches théoriques ; - Communiquer sur vos travaux et vos résultats de façon pédagogique auprès d’un public varié. Qualifications - Vous aimez les questions ouvertes, la modélisation mathématique ; vous avez une appétence pour le marketing ; - Vous connaissez l’intrus entre Python, Pandas, et Koalas ; - Vous avez idéalement des notions de NLP ou de théorie des graphes ; - Vous avez touché une manette de jeu de vidéo dans les vingt dernières années (vingt dernières minutes serait un plus) ; - Vous n'avez pas peur du requêtage de bases de données, type SQL ; - Vous recherchez une équipe où règne l’émulation (et on ne parle pas de rétrogaming). Informations supplémentaires Processus de recrutement Si votre candidature est retenue, vous serez contacté·e dans un premier temps par un·e représentant·e de notre équipe Campus pour un échange téléphonique afin de déterminer si votre profil correspond bien à l’annonce mais aussi à vos envies. Si cet échange est concluant, un cas pratique vous sera soumis afin d’attester de vos compétences techniques en lien avec l’opportunité. Enfin, un entretien physique ou en visio via Teams sera par la suite organisé avec votre futur·e tuteur·trice de stage. Avantages en tant qu’alternant·e chez Ubisoft - Rémunération calculée selon différents critères (âge, niveau d’études…) - Carte Titres Restaurant Swile, remboursement de 50 % du titre de transport, 1 jour d'absence autorisée/mois - Réduction billetterie (concerts/spectacles), accès à la salle de sport Ubisoft à tarifs préférentiels Ubisoft veille à développer un environnement de travail inclusif qui reflète la diversité de sa communauté de joueurs dans ses équipes. En tant qu’employeur, Ubisoft offre à tous les mêmes opportunités d’accès à l’emploi sans distinction de genre, ethnicité, religion, orientation sexuelle, statut social, handicap et d’âge. Boîte à questions Ubisoft Comment préparer ma candidature chez Ubisoft ? Dans un premier temps, lisez attentivement la job description afin de mettre en avant vos expériences et vos compétences qui vous semblent pertinentes pour cette opportunité ! Un CV personnalisé et détaillé vous permettra à coup sûr de vous démarquer 😉 Lettre de motivation ou pas ? A choisir, nous préférerons toujours quelques lignes expliquant votre motivation à candidater, plutôt qu’un texte générique copié/collé ! Un encart est d’ailleurs spécifiquement prévu à cet effet lors de votre candidature. Je ne connais pas le secteur du jeu vidéo. Ai-je ma place chez Ubisoft ? Nous comptons dans nos rangs de nombreux profils qui ne sont pas des férus de jeux vidéo. Chez Ubisoft, nous cherchons à nous entourer de personnes passionnées, que ce soit par leurs spécialités, leurs métiers ou par le divertissement en général. A quoi m’attendre lors d’un stage ou d’une alternance chez Ubisoft ? Dès vos premiers jours, vous bénéficierez d’une Welcome Session vous présentant Ubisoft, son organisation et votre environnement de travail pour les prochains mois. Votre tuteur·rice et votre équipe vous accompagneront au quotidien, dans les premières semaines comme tout au long de votre expérience ! Une fois autonome, vos missions seront responsabilisantes et variées, peu importe le type de contrat. Travailler chez Ubisoft signifie travailler sur de vrais projets à mener au jour le jour. Un groupe Teams dédié vous permettra par ailleurs d’échanger avec les autres stagiaires et alternant·es. Quels sont les engagements sociétaux d’Ubisoft ? Nous cherchons à enrichir la vie des joueurs et joueuses par la création d’expériences de jeu originales et mémorables, et en nous appliquant à toujours améliorer l’impact positif de nos jeux. Afin d’y parvenir, nous créons un environnement de travail plus sûr et inclusif, nous soutenons les communautés dans lesquelles Ubisoft opère par le biais d’initiatives caritatives et nous nous efforçons de réduire l’impact environnemental de nos activités. Pour en savoir plus, rendez-vous sur la page Impact Sociétal . Je suis en situation de handicap, comment postuler ? Toutes nos équipes recrutement ont été sensibilisées aux sujets du handicap. Vous pouvez donc postuler normalement via notre plateforme SmartRecruiters en joignant votre CV et lettre de motivation. Si vous avez besoin d'une adaptation du processus de recrutement, notamment lorsque celui-ci implique des entretiens vidéo, précisez-le lors de votre candidature et/ou contactez l’équipe Mission Handicap par mail ( boost@ubisoft.com ).
AI Agent开发工程师（游戏研发）
团队介绍 Level Infinite 是腾讯旗下国际游戏业务品牌，致力为全球玩家带来充满乐趣、原汁原味的游戏体验，让玩家随时随地进入游戏世界；并通过打造包容、互通、便捷的玩家社区，促进分享交流。 Level Infinite为合作工作室提供一系列支持及服务，助力其释放产品潜能。 Level Infinite发行产品包括《PUBG MOBILE》、《Goddess of Victory: NIKKE 》《Honor of King》等热门游戏，并与合作工作室联手推出了来自Fatshark的《战锤40K：暗潮》、Funcom的《沙丘：觉醒》、Inflexion Studios的《夜莺》在内多款产品。 想进一步了解Level Infinite，请访问www.levelinfinite.com，并在Twitter、Facebook、Instagram和Youtube上关注我们的官方账号。 岗位职责 职位描述 负责面向游戏研发流程的 AI Agent 系统设计与开发，围绕策划、程序、美术、测试、运营等研发环节，构建可落地的智能化工具链，提升开放世界游戏研发效率与内容生产质量。 岗位职责 1. 负责游戏研发场景下的 AI Agent 系统设计、开发与落地，包括但不限于策划辅助、剧情生成、任务设计、关卡检查、战斗调参、资产管理、Bug 分析、自动化测试等方向； 2. 负责 Agent 与现有研发工具链的集成，将 Agent 能力无缝接入 Unreal Engine 5 及现有的任务系统、战斗系统等工业化流水线，搭建可执行、可观测、可迭代的工具链； 3. 与游戏策划、客户端、TA、美术等团队协作，分析研发流程中的高频痛点，将需求抽象为可被 Agent 自动化或半自动化解决的任务； 4. 参与 AI 原型验证和技术选型，评估不同模型、框架、推理服务和 Agent 架构在游戏研发场景中的适用性；建立 Agent 效果评估体系，包括任务成功率、人工节省时长、生成质量、一致性、稳定性、安全性等指标； 5. 跟进前沿 AI Agent、多模态模型、游戏 AI、自动化研发工具等方向的技术进展，并推动在项目中的应用。 岗位要求 1. 负责游戏研发场景下的 AI Agent 系统设计、开发与落地，包括但不限于策划辅助、剧情生成、任务设计、关卡检查、战斗调参、资产管理、Bug 分析、自动化测试等方向； 2. 负责 Agent 与现有研发工具链的集成，将 Agent 能力无缝接入 Unreal Engine 5 及现有的任务系统、战斗系统等工业化流水线，搭建可执行、可观测、可迭代的工具链； 3. 与游戏策划、客户端、TA、美术等团队协作，分析研发流程中的高频痛点，将需求抽象为可被 Agent 自动化或半自动化解决的任务； 4. 参与 AI 原型验证和技术选型，评估不同模型、框架、推理服务和 Agent 架构在游戏研发场景中的适用性；建立 Agent 效果评估体系，包括任务成功率、人工节省时长、生成质量、一致性、稳定性、安全性等指标； 5. 跟进前沿 AI Agent、多模态模型、游戏 AI、自动化研发工具等方向的技术进展，并推动在项目中的应用。 职位要求 1. 本科及以上学历，计算机、软件工程、人工智能、游戏开发等相关专业优先； 2. 具备扎实的工程开发能力，熟悉 Python、C++ 等语言，有良好的代码设计、调试和系统集成能力； 3. 熟悉游戏研发流程，熟悉主流游戏引擎，有 Unreal Engine 4/5 插件开发经验者优先； 4. 有实际 AI Agent / LLM 应用 / 研发效能平台开发经验，熟悉大语言模型应用开发，理解 Prompt Engineering、Tool Calling、RAG等常见技术； 5. 具备较强的问题抽象能力与良好的跨职能沟通能力，能与策划、美术、TA、程序、QA 等角色高效协作，将复杂的研发需求拆解为可执行的 Agent 任务和工具接口； 6. AI Native 开发者，熟练使用Codex、Claude Code 等 AI 辅助编程工具，日常开发中具备强烈的AI 提效意识。对 AI 技术在游戏研发中的应用有强烈兴趣，愿意持续探索新范式、新工具和新流程。 腾讯致力于提供平等就业机会 在腾讯，我们始终秉承平等就业机会的原则，致力于为每一位员工打造公平、包容的工作环境。我们坚信，多元的声音能够激发出无限的创新活力，推动我们为用户和社会提供更优质的服务。我们用心营造一个充满支持与激励的氛围，帮助每一位员工找到属于自己的舞台，以实现个人及共同的发展目标。
Business Development Lead – AI Creator Platform (W...
Business Unit Platform & Content Group (PCG) is responsible for the company's Internet platform and the integrated development of the content and culture ecosystem. PCG integrates social platforms such as QQ and QZone with traffic platforms such as Tencent's App Store and browsers, as well as content platforms including news, videos, sports, live broadcasts, animes and movies to develop a better growth environment for Tencent's content ecosystem. PCG promotes the cross-platform and multi-modal development of IP, with the overall goal of creating more diversified premium digital content experiences for more users. What the Role Entails About WorkSolo WorkSolo is a professional creation tool built for AI creators. It empowers independent creators, studios, and creative professionals with AI-native workflows to ideate, produce, and publish high-quality content — from concept to final output. As we expand globally, we're looking for a driven Business Development Lead to forge strategic partnerships and accelerate our growth in international markets. Key Responsibilities 1. Strategic Partnerships - Identify, negotiate, and close high-impact partnerships with creator platforms, media companies, talent agencies, production studios, and AI tool ecosystems - Build and manage a robust pipeline of partnership opportunities across North America, Europe, and Southeast Asia - Structure and execute co-marketing, co-distribution, and integration deals that expand WorkSolo's reach and creator base - Own end-to-end partnership lifecycle — from prospecting and pitching to contract execution and ongoing relationship management 2. Ecosystem & Channel Development - Develop distribution channels through platform integrations (Adobe, Canva, Notion, etc.), app marketplaces, and creator-focused SaaS ecosystems - Explore and execute bundling, white-label, or API partnership opportunities with complementary AI toolchain providers - Cultivate relationships with MCNs (Multi-Channel Networks), creator agencies, and talent management firms to drive creator acquisition at scale 3. Market Expansion - Conduct in-depth market research to identify high-potential segments, verticals, and geographies for WorkSolo's international expansion - Develop go-to-market strategies for new markets in collaboration with product, operations, and marketing teams - Represent WorkSolo at industry conferences, trade shows, and creator economy events globally 4. Revenue & Growth - Define and own BD-driven revenue targets; build business cases and financial models for major partnership proposals - Track and report on partnership performance metrics; iterate on deal structures to maximize ROI - Work closely with product teams to surface partner-driven feature requirements and integration priorities Who We Look For Qualifications - 5–8 years of experience in business development, partnerships, or strategic alliances at a tech, media, or AIGC platform company - Proven track record of closing complex, multi-stakeholder deals with measurable business impact - Deep network within the global creator economy — including creator platforms, MCNs, talent agencies, media companies, and AI tool vendors - Strong understanding of the AI creator tools landscape (Midjourney, Runway, Adobe Firefly, Canva AI, etc.) and creator platform ecosystems (YouTube, TikTok, Patreon, Twitch) - Experience with SaaS partnerships, API integrations, or platform ecosystem development is a strong plus - Excellent negotiation, communication, and executive presentation skills - Comfortable navigating cross-cultural business environments; experience working with Chinese tech companies or HQ teams is a strong plus - Excellent written and verbal English; Mandarin Chinese is a plus for HQ collaboration - Self-starter; thrives in fast-moving, ambiguous environments with high ownership and autonomy Location State(s) US-California-Los Angeles The expected base pay range for this position in the location(s) listed above is $102,200.00 to $191,400.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. Employees hired for this position may be eligible for a sign on payment, relocation package, and restricted stock units, which will be evaluated on a case-by-case basis. Subject to the terms and conditions of the plans in effect, hired applicants are also eligible for medical, dental, vision, life and disability benefits, and participation in the Company’s 401(k) plan. The Employee is also eligible for up to 15 to 25 days of vacation per year (depending on the employee’s tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year. Your benefits may be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may also be pro-rated for those who start working during the calendar year. 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.
BD & Investment Manager, AI + Game Tech
Business Unit Tencent Games was established in 2003. We are a leading global platform for game development, operations and publishing, and the largest online game community in China. Tencent Games has developed and operated over 140 games. We provide cross-platform interactive entertainment experience for more than 800 million users in over 200 countries and regions around the world. Honor of Kings, PUBG MOBILE, and League of Legends, are some of our most popular titles around the world. Meanwhile, we actively promote the development of esports industry, work with global partners to build an open, collaborative and symbiotic industrial ecology, and create high-quality digital life experiences for players. About the Hiring Team Business Development Department is dedicated to fostering connections between Tencent and top-tier game developers worldwide, catering to a diverse network of over 100 global investment partners and developers. Our primary objective is to enhance Tencent's global presence in the internet ecosystem as well as gaming sector, identifying business prospects and supporting investment partners in achieving sustainable growth. We are actively seeking exceptional talent globally to join our dynamic team. By building a strong global talent network, we aim to strengthen and expand Tencent's partnerships with more partners worldwide while nurturing high-quality games for the market. What the Role Entails Tencent Games was established in 2003. We are a leading global platform for game development, operations and publishing, and the largest online game community in China. Tencent Games has developed and operated over 140 games. We provide cross-platform interactive entertainment experience for more than 800 million users in over 200 countries and regions around the world. Honor of Kings, PUBG MOBILE, and League of Legends, are some of our most popular titles around the world. Meanwhile, we actively promote the development of esports industry, work with global partners to build an open, collaborative and symbiotic industrial ecology, and create high-quality digital life experiences for players. As a Strategic BD and Investment Manager, you will: - Lead frontline engagement with US and AI/tech or AI+ application companies to identify collaboration opportunities and establish long-term partnerships; - Identify and evaluate high-potential investment opportunities and strategic partnerships at the intersection of Tech/AI and Games/Entertainment. More importantly, drive development of new opportunities and incubate new businesses - Act as the primary external-facing representative to bridge Tencent’s internal teams (studios, tech platform) with external innovators and ecosystem players. - Monitor and analyze emerging technology and AI trends in gaming and entertainment. Develop and maintain a strategic framework for market analysis and opportunity assessment; - Work directly with senior management across global AI and games markets. - Work in a team with high-calibre executives previously from top-tier consultancy firms and investment banks. - You will be responsible for supporting decision-makings for executives and leaders of business groups. - Provide game changing strategy and inspire out-of-the-box thinking to senior leader. - Plan and manage business incubation, drive product innovation and new partnerships, develop and execute go-to-market plan. Who We Look For - Have more than 3 years of work experience in tech investment or strategy consulting, preferably with a focus on gaming/entertainment or TMT industries. An advanced degree in Computer Science, Engineering or a similar field is a strong plus. - Demonstrate strategic vision, business insights and in-depth knowledge of emerging technologies and market trends (particularly AI applications in gaming). - Proficiency in analyzing market data, financial metrics, and technology trends to identify promising opportunities in game tech/AI. - Must be a self-starter, capable of navigating ambiguity and driving investment strategies from ideation to execution, while collaborating with cross-functional teams. - Effective team players with excellent communication and interpersonal skills. - Exceptional proficiency with MS Excel & PowerPoint; working knowledge of statistics and analysis packages. Location State(s) US-California-Palo Alto The expected base pay range for this position in the location(s) listed above is $106,900.00 to $253,400.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. Employees hired for this position may be eligible for a sign on payment, relocation package, and restricted stock units, which will be evaluated on a case-by-case basis. Subject to the terms and conditions of the plans in effect, hired applicants are also eligible for medical, dental, vision, life and disability benefits, and participation in the Company’s 401(k) plan. The Employee is also eligible for up to 15 to 25 days of vacation per year (depending on the employee’s tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year. Your benefits may be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may also be pro-rated for those who start working during the calendar year. 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.
Cloud & AI Sales Intern
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 - Partner and support senior members of the Sales team in the end to end customer account management lifecycle, including contract preparation, negotiation and ensuring smooth operational and administrative tasks for the customers. - Support for senior members for the preparation and execution of strategic account plans, status reports, sales and revenue forecasting and quota attainment, and get ready to be an independent sales person from the second year. - Utilize networking and prospecting skills to generate leads and identify strategic solution based sales opportunities. - Attend leading industry exhibitions with the Sales team in Europe and globally - Develop and manage high-value relationships with key client stakeholders. - Partner with the Business Contracts Manager on contract negotiations. - Achieve/exceed sales goals, sustain revenue growth and provide recommendations to enhance account growth and revenue potential. - Become proficient in Tencent’s cloud offerings, working to understand customers need and providing service solutions. - Develop strategic plans based on industry trending (FSI/Manufacturing&Energy/Pan-Internet/ISV) and customer analysis. - Work with Solutions Architect team / Marketing team in developing sales pitch materials & exhibition materials Who We Look For - Strong interest in developing a Sales, Business Development and Account Management career in cloud services. Prior tech related internship experiences would be highly advantageous, include but not limited to cloud or software experience. - Exhibit “hunter” mentality and possesses outstanding ability to close sales; - Demonstrate a sense of strong ownership in the workplace. - Excellent English for presentation and communication; fluency in Chinese/German/French or other major European language would be a major plus. - Possesses strong interest and curiosity for technology; Prior knowledge of Cloud, CDN , SaaS industry and internet space is a plus - Adept at analyzing data, trends and the market to develop insights and key selling points 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 Job Responsibilities ●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. 岗位职责 ● 基于大语言模型（LLM）及多模态/全模态大模型，研究和开发前沿语音合成与生成算法（如 TTS、语音转换、声音/音乐生成等）。 ● 开发和优化面向线上应用的语音及音频合成系统，提升效果、效率和可扩展性。 ● 探索并推进全双工/流式多模态大模型在语音理解、语音生成及实时语音交互方面的能力。 ● 与研究和工程团队跨职能协作，推动项目从原型验证到生产落地。 Who We Look For Requirements ●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). ●Mandarin Chinese / Business-level Japanese or English 任职要求 ● 计算机科学、电子工程、信号处理或相关领域博士学位。 ● 具备扎实的语音/音频处理基础，熟悉现代生成模型（如扩散模型、流匹配、自回归模型、基于编解码器的方法等）。 ● 具有将大语言模型扩展至语音/音频模态的实际经验（如语音分词器、多模态适配器、语音-文本联合训练等）；有全双工或流式语音对话系统及实时交互建模经验者优先。 ● 熟练使用 Python 及深度学习框架（如 PyTorch）；有分布式训练经验者优先。 ● 在顶级学术会议发表过论文（如 ICML、NeurIPS、ICLR、ACL、ICASSP、Interspeech 等）。 ●中文/商务日语或英文 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...
部署紹介/Business Unit LIGHTSPEED STUDIOS は、物語性の高いストーリー、没入感のあるゲームプレイ、最先端のテクノロジーを駆使し、ゲーム開発をアートとサイエンスの融合として追求し続けています。世界中のプレイヤー、そしてあらゆるデバイスに次世代のゲームエクスペリエンスを提供することを使命としています。 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. チーム紹介/About the Hiring Team Lightspeed Tech Center は、PUBG モバイルを始めとする様々な高品質ゲームを手掛けた Lightspeed Studios の研究開発部門です。Tech Center は技術研究とイノベーションを牽引し、ゲーム作品にそのライフサイクルを通して、エンジン、音響、QA、AI、次世代技術、技術提携などのテクニカルサポートを提供しています。 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. 仕事内容/What the Role Entails Job Responsibilities ●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. 岗位职责 ● 基于大语言模型（LLM）及多模态/全模态大模型，研究和开发前沿语音合成与生成算法（如 TTS、语音转换、声音/音乐生成等）。 ● 开发和优化面向线上应用的语音及音频合成系统，提升效果、效率和可扩展性。 ● 探索并推进全双工/流式多模态大模型在语音理解、语音生成及实时语音交互方面的能力。 ● 与研究和工程团队跨职能协作，推动项目从原型验证到生产落地。 応募資格/Who We Look For Requirements ●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). ● Mandarin Chinese / Business-level Japanese or English 任职要求 ● 计算机科学、电子工程、信号处理或相关领域博士学位。 ● 具备扎实的语音/音频处理基础，熟悉现代生成模型（如扩散模型、流匹配、自回归模型、基于编解码器的方法等）。 ● 具有将大语言模型扩展至语音/音频模态的实际经验（如语音分词器、多模态适配器、语音-文本联合训练等）；有全双工或流式语音对话系统及实时交互建模经验者优先。 ● 熟练使用 Python 及深度学习框架（如 PyTorch）；有分布式训练经验者优先。 ● 在顶级学术会议发表过论文（如 ICML、NeurIPS、ICLR、ACL、ICASSP、Interspeech 等）。 ●中文/商务日语或英文 一緒に働く魅力/Why Join Us? 賃金 年収額：応相談（昇給/賞与あり） ※経験・スキル等を考慮し、当社規定により優遇します。 ※一般社員の場合、固定残業代月35時間分が含まれます。 管理職の場合、固定残業代10時間分が含まれます。 労働時間・休日 就業時間 09:30 ~ 18:30 休憩時間 60分 フレックスタイムあり 完全週休２日制（土日・祝日） 有給休暇：入社初年度は、入社月により期間按分付与。在籍年数踏まえて最大22日 年末年始休暇（12/30～1/3） 病気休暇（有給）：12日/年（有給休暇とは別途付与） 福利厚生 ＜各種保険＞ 健康保険 、雇用保険、 労災保険、 厚生年金保険、 総合福祉団体定期保険（GTL） 業務災害安心総合保険（GPA）、団体長期障害所得補償保険（GLTD） 海外旅行保険 ＜各種手当＞ 通勤手当(上限5万円/月) 、通信手当（上限1万円/月）、 自己啓発手当（上限2万円/月）、 平日に出社した場合食事補助1800円/日、 定期健診手当（上限7万5千円/年1回） ＜支援制度・その他待遇＞ フリードリンクコーナー 、ギフトカード（お盆、正月の2回支給、2万円/1回） 従業員支援プログラム(EAP) 、慶弔見舞金 、永年勤続賞/休暇 この求人広告に記載されているポリシー（給与、福利厚生、労働条件などを含むがこれに限らない）は、会社のリアルタイムポリシーに応じて調整される可能性があります。 平等な雇用機会を重視するテンセント/Equal Employment Opportunity at Tencent テンセントは、雇用機会の均等を最重要視しています。私たちは、多様性がイノベーションを促進し、ユーザーやコミュニティに対してより良いサービスを提供する原動力になると確信しています。 社員一人ひとりが十分なサポートを受け、自身の目標と会社の目標を共に達成できるよう、モチベーションを高められる環境づくりを大切にしています。 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 Infra Intern
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 1. Assist in the day-to-day operations, system maintenance, and cost analysis of Tencent's overseas game services and technical platform. 2. Support high-availability efforts for Tencent's overseas account storage systems, including routine health checks. 3. Help improve monitoring and alerting coverage to enhance operational efficiency across overseas platforms. 4. Coordinate and communicate with internal and external teams to support cross-functional operations tasks. Who We Look For 1. Bachelor's degree in Computer Science or a related field. 2. Basic familiarity with Unix/Linux operating systems. Experience with Shell or Python scripting is a plus. 3. General awareness of cloud platforms (e.g. Tencent Cloud, AWS). Exposure to Kubernetes concepts is a bonus. 4. Basic understanding of MySQL and Redis. Hands-on database experience is preferred. 5. Strong sense of ownership, clear logical thinking, collaborative mindset, and willingness to take on challenging tasks. 6. Familiarity with AI-assisted programming tools. Candidates with hands-on experience in AI-powered development (e.g. GitHub Copilot, Cursor, or similar tools) are preferred. 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.
Director Software Development, AI Models and Resea...
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 seeking a Director of AI (Generative AI) to lead our Modeling team, with a focus on Large Language Models (LLMs). THE PERSON: The ideal candidate will have a proven track record of building and leading a world-class research and engineering team focused on LLMs and foundation models, with a strong publication record in top-tier research venues. Experience with the latest state-of-the-art foundation models—especially in the areas of LLMs and vision—is essential. Deep knowledge in model alignment, fine-tuning, and current research trends is also required. We are looking for a leader with hands-on expertise in training large language models at scale. KEY RESPONSIBILITIES: - Set the vision and strategy for developing large foundation models across various domains, such as natural language, computer vision, and multimodal data. - Lead a team of researchers and engineers working on cutting-edge techniques for training, fine-tuning, evaluating, and deploying large foundation models at scale. - Collaborate with cross-functional teams and stakeholders to identify opportunities and enhance the platforms and infrastructure supporting large-scale model development. - Communicate the results, capabilities, and impact of foundation models and AI to both internal and external audiences. - Establish best practices and standards to ensure the quality, reliability, fairness, and ethical use of AI and large foundation models. PREFERRED EXPERIENCE: - Proven experience leading a research team in machine learning or a related field. - Deep technical expertise in natural language processing and generative AI. - A strong publication record in top-tier conferences and journals related to machine learning. - Exceptional leadership skills and the ability to work collaboratively with cross-functional teams and customers. - Excellent communication skills—written, verbal, and presentation. - A demonstrated ability to mentor, coach, and inspire a diverse and talented team of researchers and engineers. ACADEMIC CREDENTIALS: - A PhD (or a master’s degree with equivalent experience) in artificial intelligence, machine learning, computer science, or a related field. LOCATION: San Jose, CA or Bellevue, WA LI-MV1 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. Staff Engineer, Robotics AI Model Optimization
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 AI Models and Applications team at AMD is looking for a specialized Sr. Staff or Principal level engineer who is passionate about enabling innovative and efficient Generative AI training/inferencing at scale. You will be part of a core team of incredibly talented specialists and work on scaling training and inference for the latest Generative AI models, including robotics models. THE PERSON: The ideal candidate has deep technical understanding of the latest generative AI applications like large language models (LLMs), large multimodal models (LMMs), image/video generation, has experience training models at scale and is passionate about innovating efficient approaches to enable distributed training and inference at scale on AMD devices. Why Join Us? - Exciting Opportunities: As a Senior member on the team, you will be at the forefront of innovation, working with the latest Gen AI models and algorithms. You will have the opportunity to shape the future of AI model training and inference optimizations across a variety of applications. - Talented Team: Join a team of highly skilled industry specialists who are passionate about pushing the boundaries of AI. Collaborate with like-minded professionals and learn from the best in the field. - Cutting-edge Technology: Work with state-of-the-art GenAI algorithms and software enabling you to stay ahead of the curve and drive advancements in AI model training at Scale and deployment. - Impactful Work: Your contributions will directly influence how cutting-edge gen AI models across the industry are efficiently trained at scale as well as inferencing deployed to serve millions of customers, making a significant difference in various industries and applications. KEY RESPONSIBILITIES: - Propose and apply innovative techniques to support both training and inferencing including innovative transformer architectures, parallelism strategies to train on large clusters, low-precision training. - Implement novel efficient architectures for Generative AI models for training and inference and showcase benefits on AMD - Work with open-source framework and community (e.g., PyTorch, JAX, Hugging Face) to integrate AMD optimized models, libraries and publish training recipes. - Collaborate with software and hardware team to E2E co-optimize performance on current and future AMD solutions. - Publish and promote your work within AMD and at external venues. PREFERRED EXPERIENCE: - Strong technical expertise in Gen AI model training and inference, and familiarity working with deep learning frameworks like PyTorch/JAX. - Strong technical expertise in algorithmic innovation towards efficient Gen AI application for both training and inferencing. - Expertise/publications in one of the areas preferred - efficient model architectures, optimized training, innovative parallelism strategies or low-precision training. - Additional plus if publications include conferences such as NeuRIPS, CVPR, ECCV/ICCV, ICML, ICLR, etc. - Experience productizing generative AI models and training foundation model at Scale - Excellent written, verbal, and presentation skills, ability to coordinate internally and externally. - Several years of experience in AI, deep learning and related software development. ACADEMIC CREDENTIALS: PhD or master’s degree or above; with major in CS, EE, Mathematics, or a related field. LOCATION: San Jose, CA (Hybrid). Can also consider Seattle or Austin locations (Hybrid) LI-MV1 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.
CVP of Applied AI FDE
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. This role is not eligible for visa sponsorship. THE ROLE: Build and scale a world-class FDE organization, strategically combining ML Generalists, Low-Level Kernel Optimizers, and Solutions Architects to cover the full customer deployment lifecycle. This is a highly visible role with large scope and impact. THE PERSON: Define and institutionalize the FDE Engagement Model to maximize resource leverage and ensure consistent, high-velocity customer outcomes. Serve as the Voice of the Customer internally: Translate field intelligence and customer challenges into concrete, prioritized engineering roadmaps, and ensure execution. KEY RESPONSIBILITIES: - Cluster Bring-up & Optimization: Oversee the technical onboarding of massive GPU clusters. Ensure your team can troubleshoot collective communication errors, debug framework issues, and optimize training/inference strategies. - Utilization Engineering (The North Star Metric): Drive and maintain industry-leading Customer GPU Utilization across clusters of thousands of GPUs, making cluster satisfaction the key measure of success. - High-Performance Model Deployment: Enable customer success by deeply optimizing open-sourced models (Llama 3, DeepSeek, Mixtral) and proprietary models for our specific hardware topology, utilizing tools like vLLM and TensorRT-LLM. - Executive Technical Sponsorship: Act as the technical authority and executive sponsor on large deals, possessing the credibility to validate architecture with CTOs and VPs of AI. - Feedback Loop: Aggressively channel field intelligence back to Product Engineering. If customers are struggling with a specific use case, then become the loudest voice in the room demanding a fix. PREFERRED EXPERIENCE: - Years of Technical Leadership: Demonstrated track record leading high-impact technical teams within high-stakes environments (e.g., Cloud Infrastructure, AI Platform, or HPC). - The "Hardware/Software" Hybrid: You understand the stack from the metal up. - Commercial Acumen & Fluency: Deep understanding of commercial drivers (ARR, Churn, Margin) and the ability to articulate how technical solutions impact deal velocity and business outcomes. - High-Stakes Crisis Management: Experience leading through "Sev0" customer incidents (e.g., massive training run failures), demonstrating the poise and clarity required to manage executive communication while guiding rapid root cause resolution. Technical Competency - AI Frameworks: PyTorch, JAX, TensorFlow. - Distributed Computing: Slurm, Ray, Kubernetes (K8s), Docker. - GPU Ecosystem: NVIDIA drivers, CUDA profiling (Nsight Systems), Triton Inference Server. - LLM Operations (Differentiator): Significant experience with advanced LLM deployment and customization techniques, including fine-tuning (e.g., LoRA/QLoRA) and building RAG pipelines. ACADEMIC CREDENTIALS: - BS, MS or equivalent with direct experience LI-MH2 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.
Principal Engineer - Gen AI training and inferenci...
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 AI Models and Applications team at AMD is looking for a specialized Principal level engineer who is passionate about enabling innovative and efficient Generative AI training/inferencing at scale. You will be part of a core team of incredibly talented specialists and work on scaling training and inference for the latest Generative AI models. THE PERSON: The ideal candidate has deep technical understanding of the latest generative AI applications like large language models (LLMs), large multimodal models (LMMs), image/video generation, has experience training models at scale and is passionate about innovating efficient approaches to enable distributed training and inference at scale on AMD devices. Why Join Us? - Exciting Opportunities: As a Senior member on the team, you will be at the forefront of innovation, working with the latest Gen AI models and algorithms. You will have the opportunity to shape the future of AI model training and inference optimizations across a variety of applications. - Talented Team: Join a team of highly skilled industry specialists who are passionate about pushing the boundaries of AI. Collaborate with like-minded professionals and learn from the best in the field. - Cutting-edge Technology: Work with state-of-the-art GenAI algorithms and software enabling you to stay ahead of the curve and drive advancements in AI model training at Scale and deployment. - Impactful Work: Your contributions will directly influence how cutting-edge gen AI models across the industry are efficiently trained at scale as well as inferencing deployed to serve millions of customers, making a significant difference in various industries and applications. KEY RESPONSIBILITIES: - Propose and apply innovative techniques to support both training and inferencing including innovative transformer architectures, parallelism strategies to train on large clusters, low-precision training. - Implement novel efficient architectures for Generative AI models for training and inference and showcase benefits on AMD - Work with open-source framework and community (e.g., PyTorch, JAX, Hugging Face) to integrate AMD optimized models, libraries and publish training recipes. - Collaborate with software and hardware team to E2E co-optimize performance on current and future AMD solutions. - Publish and promote your work within AMD and at external venues. PREFERRED EXPERIENCE: - Strong technical expertise in Gen AI model training and inference, and familiarity working with deep learning frameworks like PyTorch/JAX. - Strong technical expertise in algorithmic innovation towards efficient Gen AI application for both training and inferencing. - Expertise/publications in one of the areas preferred - efficient model architectures, optimized training, innovative parallelism strategies or low-precision training. - Additional plus if publications include conferences such as NeuRIPS, CVPR, ECCV/ICCV, ICML, ICLR, etc. - Experience productizing generative AI models and training foundation model at Scale - Excellent written, verbal, and presentation skills, ability to coordinate internally and externally. - Several years of experience in AI, deep learning and related software development. ACADEMIC CREDENTIALS: PhD or master’s degree or above; with major in CS, EE, Mathematics, or a related field. LOCATION: Markham, Ontario, Canada (Hybrid) Can also consider Calgary, Alberta, Canada LI-MV1 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.
AI & HPC Education and Research Specialist (AMD Un...
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 offer the industry’s strongest portfolio of High Performance and Adaptive Computing products spanning CPUs, GPUs, FPGAs, and Adaptive SoCs. With these, we deliver differentiated solutions for cloud, edge, and intelligent end devices, that accelerate a diverse set of emerging workloads, from AI to smart networking and software-defined infrastructure. If you want to work with leading professors in top universities on exciting research and teaching projects using our state-of-the-art technologies, we invite you to apply to join our University Program team, which is part of the AMD Research and Advanced Development group. We empower academic teaching and research with our technologies by: - Providing educators and researchers with access to our latest technology - Developing and delivering teaching and training workshops designed for academia - Developing open-source software and hardware projects for and with academia - Organizing academic contests, hackathons, and other events - Enabling new business and technical opportunities through partnerships THE PERSON: We are seeking a Software Engineer to join our team in the USA. This is a highly collaborative and travel focused role, supporting academic partners across the country, the North America region, and internationally. You will regularly travel to universities, conferences, and training events to work directly with faculty and students. You will join a team that is passionate about enabling academics with High Performance and Adaptive Computing technologies. In this position you will work hands-on with our latest hardware and software, using innovative technologies to support and streamline our engineering and business processes while delivering an excellent experience to our academic customers. KEY RESPONSIBILITIES: - Enabling the use of AI and High Performance Computing technologies in academia through regular on site engagement with universities and research institutions, based in the USA. - Creating teaching materials, labs, design examples, demos, and application notes for use in on site and conference based training - Delivering in person and remote technical training workshops to professors and graduate students at universities, conferences, and company hosted events - Collaborating with faculty and students on research and teaching programs - Supporting and representing the company at conferences, trade shows, and academic events - Supporting academic customer queries and technical issues - Contributing to the specification, evaluation, and development of systems for academic use - Travel is a significant part of this role and may be approximately 25 to 50 percent, including domestic and occasional international travel. Preferred Experience - Experience in Data Science, AI/ML infrastructure or applications development including programming GPUs with HIP/CUDA or AI frameworks, such as PyTorch - Familiarity with AMD High Performance Computing software and hardware development tools, and corresponding computer architecture concepts - Experience developing and delivering training courses - Experience with general software programming, development, and test processes - Experience working in academic research/teaching setting, or alternatively, working as product, applications, or customer support engineer - Strong oral and written communication, and excellent interpersonal skills: comfortable working with cross-functional, remote teams - Strong problem-solving skills, being a self-starter capable of working with minimal supervision and leading new initiatives - Demonstrated willingness and ability to travel frequently for on site university visits, conferences, and training delivery An ideal candidate would also have: - Experience with some/most/all of the following technologies: - AI: LLM, PyTorch, TensorFlow, JAX - Programming Language: C/C++, Python - Programming Model: HIP/ROCm/CUDA, MPI, OpenMP, BLAS - DevOps: Kubernetes, Slurm - Involvement with open-source community - Experience publishing and presenting technical papers at conferences ACADEMIC CREDENTIALS: - Master's degree, or PhD degree in Electrical Engineering, Computer Engineering/Sciences, or related fields, or equivalent preferred. LOCATION: Austin, TX, USA (preferred), may be open to other AMD office locations in the USA. This role is not eligible for visa sponsorship. LI-MR1 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.
AI Framework Eng.
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: As a core member of the team, you will play a pivotal role in optimizing and developing deep learning frameworks for AMD GPUs. Your experience will be critical in enhancing GPU kernels, deep learning models, and training/inference performance across multi-GPU and multi-node systems. You will engage with both internal GPU library teams and open-source maintainers to ensure seamless integration of optimizations, utilizing cutting-edge compiler technologies and advanced engineering principles to drive continuous improvement. THE PERSON: Skilled engineer with strong technical and analytical expertise in C++ development within Linux environments. The ideal candidate will thrive in both collaborative team settings and independent work, with the ability to define goals, manage development efforts, and deliver high-quality solutions. Strong problem-solving skills, a proactive approach, and a keen understanding of software engineering best practices are essential. KEY RESPONSIBILITIES: - Optimize Deep Learning Frameworks: Enhance and optimize frameworks like TensorFlow and PyTorch for AMD GPUs in open-source repositories. - Develop GPU Kernels: Create and optimize GPU kernels to maximize performance for specific AI operations. - Develop & Optimize Models: Design and optimize deep learning models specifically for AMD GPU performance. - Collaborate with GPU Library Teams: Work closely with internal teams to analyze and improve training and inference performance on AMD GPUs. - Collaborate with Open-Source Maintainers: Engage with framework maintainers to ensure code changes are aligned with requirements and integrated upstream. - Work in Distributed Computing Environments: Optimize deep learning performance on both scale-up (multi-GPU) and scale-out (multi-node) systems. - Utilize Cutting-Edge Compiler Tech: Leverage advanced compiler technologies to improve deep learning performance. - Optimize Deep Learning Pipeline: Enhance the full pipeline, including integrating graph compilers. - Software Engineering Best Practices: Apply sound engineering principles to ensure robust, maintainable solutions. PREFERRED EXPERIENCE: - GPU Kernel Development & Optimization: Experienced in designing and optimizing GPU kernels for deep learning on AMD GPUs using HIP, CUDA, and assembly (ASM). Strong knowledge of AMD architectures (GCN, RDNA) and low-level programming to maximize performance for AI operations, leveraging tools like Compute Kernel (CK), CUTLASS, and Triton for multi-GPU and multi-platform performance. - Deep Learning Integration: E xperience d in integrating optimized GPU performance into machine learning frameworks (e.g., TensorFlow, PyTorch ) to accelerate model training and inference, with a focus on scaling and throughput. - Software Engineering: Skilled in Python and C++, with experience in debugging, performance tuning, and test design to ensure high-quality, maintainable software solutions. - High-Performance Computing: Solid experienced in running large-scale workloads on heterogeneous compute clusters, optimizing for efficiency and scalability. - Compiler Optimization: Foundational understanding of compiler theory and tools like LLVM and ROCm for kernel and system performance optimization. ACADEMIC CREDENTIALS: - Bachelor’s and/or Master’s Degree in Computer Science , Computer Engineering, Electrical Engineering, or a related field . - 3+ years of professional experience in technical software development, with a focus on GPU optimization, performance engineering, and framework development. LI-EH1 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.
Principal GPU/NPU AI System 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: The AI Architect will define and drive end ‑ to ‑ end AI system architecture for embedded and edge platforms , with deep expertise in GPU/NPU micro ‑ architecture, AI software stacks, and model behavior . This role bridges silicon capabilities, system software, and AI models, enabling performant, power ‑ efficient, and safe AI deployments across robotics, automotive, and industrial markets . The architect will own technical solutioning from model selection through deployment, working closely with silicon, compiler, software, and product teams, and will represent the AI architecture vision with customers and partners. THE PERSON: We are seeking a senior AI systems architect with deep expertise across GPU/NPU architecture, AI software stacks, and model behavior. This individual operates at the intersection of silicon, system software, and applied AI — translating real-world robotics, automotive, and industrial workloads into scalable, production-ready AI platform architectures. The ideal candidate combines hardware-aware AI model understanding with embedded deployment experience, and can drive full-stack architectural trade-offs across performance, power, memory, safety, and lifecycle constraints. They are technically hands-on when needed, yet comfortable influencing silicon roadmaps, guiding cross-functional teams, and representing architectural strategy with customers and ecosystem partners. This is a high-impact technical leadership role requiring strong architectural judgment, cross-functional influence without direct authority, and the ability to bridge research, productization, and long-term platform evolution. KEY RESPONSIBILITIES: GPU / NPU Architecture & HW–SW Co ‑ Design - Develop deep architectural understanding of GPU, NPU, and heterogeneous SoC designs , including memory hierarchies, interconnects, scheduling, and power/performance trade ‑ offs. - Guide HW–SW co ‑ optimization strategies for AI workloads across vision, perception, planning, and control. - Influence silicon and platform roadmaps using model ‑ driven architectural insights from robotics, automotive, and industrial workloads. - Collaborate across silicon, system engineering, software, thermal/mechanical, security, and product teams. - Technically lead internal AI engineers and work closely with partners, ISVs, and customers. - Act as a technical authority and mentor, influencing architecture decisions without direct reporting authority. - Architect AI solutions with strong understanding of model internals (CNNs, Transformers, multi ‑ modal models, sensor fusion, perception stacks). - Evaluate and map model characteristics (latency, memory bandwidth, precision, sparsity) onto GPU/NPU execution. - Drive model optimization strategies (quantization, pruning, distillation, compilation flows) aligned with embedded constraints. Model ‑ Aware AI System Architecture - Software Stack & Deployment Solutioning - Define and optimize AI software stacks spanning: - Frameworks (PyTorch, ONNX, TensorRT ‑ like runtimes) - Compilers, graph optimizers, and runtime schedulers - Drivers, firmware, and OS integration - Lead solutioning for edge and embedded deployment, including OTA updates, lifecycle management, and production ‑ grade robustness. - Ensure scalability from prototype → production → long ‑ term maintenance. Domain ‑ Focused Architecture Leadership - Robotics : perception, localization, SLAM, manipulation, real ‑ time decision pipelines. - Automotive : ADAS, autonomous perception, sensor fusion, safety ‑ critical AI execution. - Industrial : vision inspection, predictive maintenance, autonomous systems, real ‑ time analytics. - Translate domain use ‑ cases into architectural requirements and reusable platform capabilities. PREFERRED EXPERIENCE: - Deep expertise in GPU and/or NPU architecture and execution models. - Strong hands ‑ on experience with AI models and inference pipelines , not just framework usage. - Proven background in embedded / edge AI systems . - Strong understanding of hardware ‑ aware model optimization techniques. - Experience in robotics, automotive, or industrial AI domains . - Ability to translate customer problems into scalable architectural solutions. - Motivating leader with good interpersonal skills; cross ‑ functional & external leadership ACADEMIC CREDENTIALS: Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent LOCATION: Austin, TX or San Jose, CA This role is not eligible for visa sponsorship. LI-BW2 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.
Principal Software Development Eng. - AI Performan...
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 Principal Engineer to serve as a hands-on technical team lead driving the performance and scalability of frontier AI workloads on AMD GPUs, including large language models, mixture-of-experts architectures, and diffusion models. You will lead a team of engineers, define the long-term technical vision, make critical architecture decisions, and tackle the hardest performance challenges across the stack from GPU kernels and to serving frameworks and distributed systems. THE PERSON: The ideal candidate is a deep technical expert with a track record of solving industry-hard problems at the intersection of GPU architecture, AI systems, and high-performance software. You understand the full stack from hardware micro-architecture to model architecture, inference paradigms, and system-level design. You lead through technical depth, influence, and by example, staying hands-on while setting direction for your team. If you want to shape how the world runs AI on AMD hardware, this role is for you. KEY RESPONSIBILITIES: - Lead a small team of engineers: set technical direction, prioritize work, and ensure delivery while remaining deeply hands-on - Define and drive the long-term technical strategy for AI workload performance on AMD GPUs - Own the most complex cross-stack performance challenges, from kernel optimization to framework-level architecture decisions - Lead the design and implementation of novel GPU kernels, compiler optimizations, and framework features - Establish performance methodology and roofline analysis practices that set the standard for the team - Influence upstream roadmaps in major open-source AI frameworks (e.g., vLLM, SGLang, PyTorch) - Drive architecture decisions for emerging inference paradigms (e.g., prefill-decode disaggregation, speculative decoding, distributed serving) - Identify and close fundamental performance gaps between AMD and competitor platforms - Serve as a technical authority across the organization, advising leadership on technical direction and feasibility - Mentor engineers and raise the technical bar across the broader engineering organization - Represent AMD externally through publications, conference talks, and open-source contributions PREFERRED EXPERIENCE: - Deep of software development experience in GPU computing, HPC, or AI systems - Deep understanding of GPU micro-architecture, memory hierarchy, instruction scheduling, and performance tradeoffs - Deep understanding of end-to-end AI systems: model architectures, inference paradigms, and system/rack-level design - Understanding of multi-GPU communication: scale-up (NVLink, xGMI, Infinity Fabric) and scale-out (RDMA, RCCL/NCCL) topologies and performance characteristics - Experience designing and optimizing across the full stack: from low-level GPU kernels to frameworks and distributed serving systems - Strong background in performance engineering, including profiling, roofline analysis, and bottleneck diagnosis at scale - Experience with one or more of: HIP, CUDA, OpenCL, Triton/Gluon, CUTLASS, CK - Experience with GPU compiler toolchains (e.g., LLVM) and intermediate representations (e.g., MLIR, LLVM IR, Triton IR) is a plus - Hands-on experience contributing to or architecting major open-source AI frameworks (e.g., vLLM, SGLang, xDiT, Megatron LM, PyTorch) - Strong proficiency in C++ (C++17 or later) and Python - Experience leading small technical teams while remaining a hands-on contributor - Track record of influencing technical direction across teams and organizations - Strong Linux systems knowledge - Excellent written and verbal English communication skills - Published research or significant open-source contributions in GPU computing, HPC, or AI systems is a plus PREFERRED ACADEMIC CREDENTIALS: - Master's or PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent. PhD strongly preferred. LOCATION: - San Jose, CA preferred This role is not eligible for visa sponsorship. LI-G11 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.
Principal Software Developer - GPU AI/HPC kernels
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 principal software developer to join our growing team. As a key contributor you will be part of our ROCm GPU-compute mathematical libraries team working on innovative hardware and software technologies. You will help deliver exceptional performance and feature enhancements via maintainable code development, optimizations/tuning, and collaboration. THE PERSON: The successful candidate would possess excellent software skills in C/C++, Python and has expert understanding of software performance and computer architecture. Must have strong desire and ability to solve problems, and be able to schedule, and work on tasks independently. Should be a great team player with excellent communication skills. KEY RESPONSIBILITIES: - Develop software in C++, Python, HIP, assembly, and SOTA programming technologies to enable key mathematical operations on GPU - Design GPU computational software libraries for AI, HPC applications - Aid management in planning, and delivering industry-leading software for current and future processors - Supervise small development team - Carry-out performance optimizations and projections for important use-cases to maximize hardware utilization - Support development of programs to sustain seamless performance analysis, and performance/functional test coverage - Identify and help resolve quality issues working closely with libraries development teams and other internal engineering teams PREFERRED EXPERIENCE: - 10+ years professional software development experience - Demonstrated capacity to technically lead and people manage junior to mid-level developers - Proficient in C/C++ & Python programming employing best software design practices - GPU software development or validation involving HIP, CUDA, or OpenCL - Experience with software libraries and API design - Exposure to Matrix/Tensor operations and numerical work - Software emulation to support FP numerical formats is a plus - Experience in software performance estimations, optimizations and debugging - Ability to closely interact with technical leads, developers, and test teams to maintain and release production software ACADEMIC CREDENTIALS: - Master’s or Doctoral degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent THE ROLE: As GPU Software Architect, you will provide technical leadership at the intersection of GPU architecture, multi‑ASIC platform bring ‑up, and software enablement for next‑generation GPU products . This is a "Software-First" architecture role: you will reimagine and re define the end-to-end software libraries lifecycle as it span s across multiple ASICs to create a unified software fabric and process supporting development of software libraries on cutting edge hardware. You will serve as a bridging authority between software architecture and the hardware ecosystem , ensuring that architectural intent translates into working, performant, and scalable solutions for partnerships established with software libraries teams. This role is focused on leading a team focused on new GPUs and new product introductions , with accountability spanning early architecture definition, pre‑silicon modeling, multi‑ASIC bring‑up strategy, and software readiness for emerging platforms. THE PERSON: You are a deeply technical leader who thrives in ambiguous, first‑of‑kind environments. You combine strong architectural intuition with hands‑on experience bringing up complex hardware platforms and enabling software stacks on new silicon. You are comfortable operating across layers — from architecture trade‑offs and interconnect topology down to firmware, drivers, and performance tooling — and you are trusted to make decisions when data is incomplete. You naturally connect and lead teams through technical credibility , clarify ing intent, and reduc ing friction between hardware and software organizations. KEY RESPONSIBILITIES: - Architecture & Platform Leadership: Provide technical leadership for GPU architecture decisions with direct impact on multi‑ASIC platforms, interconnects, memory systems, and scalability. Translate architectural concepts into concrete platform requirements spanning ASIC, firmware, drivers, and software libraries. - Multi‑ASIC Bring‑Up Strategy: Define and lead bring‑up strategies for new GPU platforms, including strategies spanning multiple ASIC s . Partner with silicon, systems, and software teams to identify risks early and drive mitigation plans from pre‑silicon through first silicon. - Hardware–Software Co‑ Design: Drive hardware/software interface definition, ensuring architecture choices support and reflect the drive towards performance and quality. Influence firmware, driver, runtime, and performance software design to align with architectural intent. - Early Silicon Enablement: Act as a technical escalation point during early silicon bring‑up, debugging complex cross‑layer issues spanning hardware, firmware, and software. Guide the creation of diagnostics, validation tools, and bring‑up workflows that scale across teams and products. - Cross‑Functional Technical Leadership: Work across architecture, design, verification, drivers, performance libraries, and product teams to ensure alignment. Provide technical mentorship and review, raising the overall effectiveness of teams working on new GPU platforms. - Knowledge Capture & Reuse: Capture lessons learned from new product bring‑up and translate them into reusable architecture patterns, best practices, and documentation. - Leverages AI‑assisted software development tools to accelerate the design, implementation, review, and documentation of complex software libraries. Establishes best practices for responsible use of AI assistance , including validation, review, and traceability of generated code and technical artifacts. PREFERRED EXPERIENCE : - Deep experience in GPU, accelerator, or SoC architecture, including memory systems, interconnects, and scalability considerations. History of technical leadership across distributed, cross‑functional engineering teams. - Strong background in systems software, firmware, drivers, or performance software used to enable new silicon. Proven experience in hardware/software co‑design, including defining interfaces and debugging cross‑layer issues. - Hands‑on programming experience in C/C++ and Python. Familiarity with low‑level debugging tools and workflows . Experience working with performance modeling, simulators, or early validation infrastructure. - Applied experience using AI‑assisted coding tools in professional software engineering workflows, including code generation, refactoring, test creation, documentation, and design exploration. - Advanced degree in Computer Engineering, Electrical Engineering, Computer Science, or equivalent practical experience. ACADEMIC CREDENTIALS: - Advanced degrees, such as M.Sc., M.Eng., Ph.D. are preferred LOCATION: Austin, TX LI-DR1 LI-HYBRID This role is not eligible for visa sponsorship. 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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