Вакансии

Location: Torrance, United States 📍 Location: Torrance, CA 📄 Employment Type: Full-Time 🏢 Work Arrangement: 100% On-site, Monday–Friday 🚀 Start Date: TBD 💰 Compensation: TBD — based on skills and experience Important Screening Requirements BS or higher in Aerospace Engineering, Mechanical Engineering, Applied Physics, or a related field . 5+ years of aerospace thermal engineering experience . Experience supporting rocket, spacecraft, aircraft, missile, or other high-performance aerospace programs . Strong understanding of heat transfer, fluid dynamics, and high-temperature environments . Experience with electronic unit thermal analysis and control to component-junction temperatures. Ground testing experience involving thermal instrumentation and data acquisition . Strong MATLAB, Python, or similar programming skills. Experience with SolidWorks or Siemens NX . Experience preparing formal technical documentation. Ability to obtain and maintain a U.S. security clearance . Must be able to work on-site in Torrance, CA . About the Role We are seeking a Senior Thermal Engineer to lead thermal engineering methodology across advanced missile systems. This role covers thermal architecture, high-fidelity modeling, first-principles analysis, simulation, hardware testing, ground testing, and flight-test data analysis . You will work across aerodynamics, structures, electrical, propulsion, systems, manufacturing, and test engineering teams. What We’re Looking For We’re looking for a hands-on thermal engineer who can move between analytical modeling, hardware testing, and flight data while working across multiple engineering disciplines to solve challenging thermal problems. Key Responsibilities Perform thermal design and analysis of unmanned air vehicles from conceptual through detailed design. Define thermal system architectures and material-selection strategies. Perform thermal analysis using standard thermal-analysis codes and engineering/hand methods. Conduct transient thermal analysis for time-varying mission profiles. Plan, execute, and analyze specialized thermal ground testing. Plan and support flight testing and post-flight thermal data analysis. Develop MATLAB/Python models using first-principles methods to support engineering decisions. Collaborate with aerodynamics, structures, electrical, and systems engineers. Present thermal status during formal internal and customer reviews. Prepare specifications, test procedures, technical reports, and other formal engineering documentation. Required Qualifications BS or higher in Aerospace Engineering, Mechanical Engineering, Applied Physics, or a related field. In-depth understanding of heat transfer, fluid dynamics, and high-temperature environments . 5+ years of aerospace thermal engineering experience on rocket, spacecraft, aircraft, or missile programs. Experience with electronic unit thermal analysis and component-junction temperature control . Ground testing experience with thermal instrumentation and data acquisition. Strong programming skills in MATLAB, Python, or similar tools. Formal technical documentation experience. SolidWorks or Siemens NX experience. Ability to obtain and maintain a U.S. security clearance. Preferred Qualifications MS or higher degree with a focus on heat transfer and fluid dynamics. Material ablation-response modeling experience. Knowledge of material degradation and surface phenomena in demanding thermal environments. Experience with specialized thermal ground-test facilities. Flight-test experience, including instrumentation design and post-flight analysis. Experience with Thermal Desktop/SINDA . Experience with manufacturing and assembly of thermal systems. Active U.S. security clearance.

Location: Torrance, United States 📍 Location: Torrance, CA 📄 Employment Type: Full-Time 🏢 Work Arrangement: 100% On-site, Monday–Friday 🚀 Start Date: TBD 💰 Compensation: TBD — based on skills and experience Important Screening Requirements Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Aerospace Engineering, or a related field . Open to candidates across experience levels . Strong C/C++ programming experience. Experience with real-time operating systems (RTOS) . Familiarity with hardware/software integration and real-time system constraints. Experience with simulation and hardware-in-the-loop environments . Must be able to work on-site in Torrance, CA . Active or eligible for a Top Secret security clearance . U.S. work authorization and applicable export-control requirements apply. About the Role We are seeking Flight Software Engineers to design, develop, integrate, and test high-performance real-time embedded software for advanced flight systems. This is a hands-on engineering role focused on building robust software for demanding, safety-critical environments , while working closely with GNC, systems, and hardware teams. What We’re Looking For We’re looking for engineers who enjoy solving difficult real-time systems problems and can develop reliable flight software while working closely with hardware, GNC, and systems engineering teams. Key Responsibilities Design, develop, and test real-time embedded flight software . Collaborate with GNC engineers, systems engineers, and hardware teams. Develop and maintain software for high-reliability and safety-critical environments. Support simulation, hardware-in-the-loop, and flight testing . Participate in root-cause analysis and debugging across software and system interfaces. Follow rigorous software lifecycle and configuration-management practices. Support software verification and validation activities. Contribute to development processes, tools, and engineering standards. Evaluate emerging technologies and best practices relevant to flight software and real-time systems. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Aerospace Engineering, or a related field. C/C++ programming experience. Experience with RTOS. Understanding of hardware/software integration. Familiarity with real-time system constraints. Experience with GNC systems or other control-intensive applications . Strong understanding of simulation and HIL testing. Excellent problem-solving skills and attention to detail. Ability to work effectively in a fast-paced multidisciplinary environment. Active or eligible for a Top Secret security clearance. Preferred Qualifications Flight software experience for missile, launch vehicle, or spacecraft systems . FPGA-based systems experience. Embedded software optimization experience. Secure software development or cybersecurity knowledge. Familiarity with agile or iterative development methodologies. Hands-on software verification, validation, and integration experience in defense environments.

Location: Torrance, United States 📍 Location: Torrance, CA 📄 Employment Type: Full-Time 🏢 Work Arrangement: 100% On-site, Monday–Friday 🚀 Start Date: TBD 💰 Compensation: TBD — based on skills and experience Important Screening Requirements Bachelor’s degree in Electrical Engineering or a related field . Strong experience with complex digital or mixed-signal hardware design . Experience with high-speed digital systems, embedded processors, memory interfaces, and board-level architecture . Hands-on PCB design and hardware bring-up experience. Experience using oscilloscopes, logic analyzers, and power supplies . Experience with board validation, debugging, and root-cause analysis. Must be able to work on-site in Torrance, CA . U.S. work authorization and export-control eligibility requirements may apply. Ability to obtain and maintain applicable U.S. Government security clearance or authorization, if required. About the Role We are seeking experienced Avionics Hardware Engineers at the Senior and Staff levels to work on high-speed digital design, flight computer architecture, and advanced avionics hardware. This role is focused on complex embedded hardware for mission-critical systems, with ownership spanning architecture, board design, bring-up, validation, and integration . What We’re Looking For We’re looking for experienced hardware engineers who can take ownership of complex avionics hardware , solve challenging hardware problems in the lab, and work closely with multidisciplinary teams from architecture through integration. Key Responsibilities Design and develop advanced board-level electrical hardware, including: Schematic capture PCB layout oversight Component selection Interface definition Own high-speed digital and embedded flight computer architectures involving processors, memory systems, and board-level integration. Perform board bring-up, validation, debugging, and root-cause analysis in the lab. Test reference boards and early prototypes using standard laboratory equipment. Drive signal integrity, power integrity, and hardware reliability throughout the design lifecycle. Collaborate with avionics, embedded software, test, and manufacturing teams. Support hardware/software integration and troubleshooting across avionics platforms. Document designs, test results, and engineering changes. Required Qualifications Bachelor’s degree in Electrical Engineering or related field. Strong experience designing complex digital or mixed-signal hardware. High-speed digital systems experience. Experience with embedded processors, memory interfaces, and board-level architecture. Experience with PCB design tools; Altium preferred . Hands-on experience with oscilloscopes, logic analyzers, and power supplies. Strong understanding of digital systems, signal integrity, power distribution, and hardware debugging. Ability to work effectively in a fast-paced, highly collaborative environment. Preferred Qualifications Experience with flight computer, avionics, or embedded compute architectures . Experience taking complex PCBAs from concept through bring-up, validation, and integration. Exposure to embedded systems, firmware, or FPGA interaction. Experience in aerospace, automotive, robotics, defense, or other high-reliability hardware environments. Familiarity with Ethernet, SPI, I2C, UART, CAN, PCIe, or DDR memory systems . Basic scripting or programming experience using Python, C, or C++ .

Location: Torrance, United States 📍 Location: Torrance, CA 📄 Employment Type: Full-Time 🏢 Work Arrangement: 100% On-site, Monday–Friday 🚀 Start Date: TBD 💰 Compensation: TBD — based on skills and experience Important Screening Requirements Bachelor’s degree in Electrical Engineering or a related field . End-to-end experience with avionics or high-reliability electronic hardware . Strong PCB design, bring-up, and laboratory debugging experience. Ability to independently drive hardware issues through resolution. Must be able to work on-site in Torrance, CA . U.S. work authorization and export-control eligibility requirements may apply. Ability to obtain and maintain applicable U.S. Government security clearance or authorization, if required. About the Role We are seeking an Avionics Hardware Engineer to own flight-critical electronics across design, bring-up, testing, and integration. The engineer may take ownership of areas such as motor controllers, avionics backplanes, power distribution, or outward-facing avionics test and integration . What We’re Looking For We’re looking for an engineer who can take ownership of flight-critical hardware , troubleshoot issues hands-on, and move designs efficiently from concept through testing and production. Key Responsibilities Own avionics hardware from architecture and schematic design through PCB layout, bring-up, and production support . Drive component selection, interface definition, and system-level tradeoffs. Lead hardware bring-up, debugging, and root-cause analysis across laboratory, integration, and flight-test environments. Collaborate with cross-functional teams to ensure hardware meets performance, reliability, and mission requirements. Define and execute hardware validation strategies appropriate to development and flight maturity. Prepare technical documentation covering designs, test results, and engineering changes. Partner with manufacturing teams and suppliers to transition hardware from prototype to production. Continuously improve designs based on test results, field data, and evolving requirements. Required Qualifications Bachelor’s degree in Electrical Engineering or related field. Proven end-to-end ownership of avionics or high-reliability electronic hardware . Strong PCB design experience. Hands-on hardware bring-up and laboratory debugging experience. Ability to work autonomously and drive hardware issues to closure. Preferred Qualifications Experience in avionics, aerospace, missile, space, automotive, or defense hardware . Experience with motor controllers, backplanes, power electronics, or flight hardware . Familiarity with MIL-STD or aerospace hardware standards, including DO-254 exposure. Embedded systems or FPGA-adjacent hardware experience. Experience supporting hardware through integration, testing, or flight environments.

Location: Belgrade; London; Berlin Workplace: Hybrid Perplexity is seeking an experienced Machine Learning Engineer to advance how AI systems search, reason, and work together to solve complex problems. Our work spans search and retrieval, LLM post-training, multi-agent training, and the harnesses that make these systems effective. We control the full stack: the models, the agent harnesses, and the search infrastructure underneath. That gives us the freedom to develop new approaches across all three training models to use search more effectively, designing tools and execution environments around learned behavior, and improving retrieval to support how agents actually work. RESPONSIBILITIES - Push search and agent quality forward through improvements to models, training data, tools, and system design. - Develop LLM post-training methods, including reinforcement learning, to improve reasoning, search, tool use, and task completion. - Train and evaluate multi-agent systems, exploring how agents divide work, share information, and coordinate effectively. - Design and build agent harnesses around the tools, context management, execution environments, and orchestration that support reliable work over many steps. - Improve retrieval and ranking models and the search interfaces agents use to find and assess information. - Build datasets, reward signals, and evaluations that expose meaningful failures and guide improvements. - Own experiments end to end, from a clear hypothesis to scalable training, deployment, and measurable gains in quality, latency, and cost. - Collaborate with AI, Search, Infrastructure, Data, and Product teams to bring new capabilities into production. QUALIFICATIONS - A strong track record of building and shipping ML systems, with deep experience in one or more of LLM post-training, reinforcement learning, search and retrieval, or agent systems. - Strong software engineering skills and the ability to work across model training, experimentation infrastructure, and production systems. - Experience designing rigorous evaluations, diagnosing failures, and translating experimental results into practical improvements. - Comfort with open-ended problems that require both research judgment and hands-on engineering. - A strong sense of ownership, curiosity, and the drive to carry an idea through to a working system. NICE TO HAVE - Experience with training models to use tools or complete tasks over many steps. - Multi-agent training, coordination, or evaluation. - Building agent harnesses, distributed training systems, or scalable inference infrastructure. - Large-scale retrieval, ranking, or recommendation systems.

Location: Russia Workplace: remote 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. THE ROLE We are hiring a Senior Frontend Engineer for two platform products: Xsolla ID is the identity and authentication platform behind sign-in, account management and SSO across Xsolla products. Xsolla ZK is Web3 wallet infrastructure: smart wallets and account abstraction on a zkSync-based L2. Both products sit on users' most sensitive flows: logging in and signing transactions. Responsibilities WHAT YOU WILL OWN The frontend of your product area end to end: shaping tasks with Product and Design, implementation, release and production monitoring Technical decisions for that frontend. You make them and justify them in writing, rather than only implementing someone else's The architecture of frontend applications and the shared UI library / SDK that other teams build on Measurable frontend quality: performance, reliability and security of user flows WHAT YOU WILL DO Design and build user flows: sign-in, account management, wallet onboarding and transaction signing Track how these flows behave in production (errors, performance, drop-offs) and act on what you see Make architectural decisions for frontend applications and document them Develop the shared component library and frontend SDKs used by other Xsolla teams Agree API contracts with backend engineers, including error handling, retries and edge cases Own performance budgets: Core Web Vitals and bundle size Improve the engineering environment: build, linters, tests, CI Review code Set up and maintain AI tooling in the repositories (Claude Code, Codex, Cursor: rules, context, harness) so the team uses it effectively Nice to have Language and platform 5+ years of commercial frontend development TypeScript in strict mode: generics, utility types, discriminated unions, typing module boundaries and external data JavaScript at the platform level: event loop, asynchrony, closures, memory. You can find a leak and explain its cause Frameworks and state Deep experience with React: rendering model, profiling, eliminating unnecessary re-renders Separating local, server and global state, and justifying the choice of tool; reasoning about when SSR is worth it UI quality and performance Semantic, responsive, cross-browser layout; modern CSS (CSS Modules, CSS-in-JS) Accessibility: ARIA, keyboard navigation, screen reader support Performance analysis: profiling, bundle analysis, Core Web Vitals Integration and security REST API integration: error handling, retries, request cancellation, contract alignment with backend Web security fundamentals: XSS, CSRF, CSP, secure handling of tokens, sessions and user data Engineering practices Testing at the right level: unit, integration, E2E Git, CI, Docker, linters and formatters AI-assisted engineering Daily hands-on use of AI coding tools (Claude Code, Codex, Cursor) for development and review, including configuring them for a repository English Reading technical documentation in English Experience in security-sensitive domains: authentication and identity (OAuth2/OIDC flows on the frontend), payments, crypto wallets Web3 frontend: wallet integration (embedded and browser wallets), EIP-1193, EIP-6963, EIP-712; viem, wagmi, ethers.js Next.js or Nuxt, SSR in production Design systems and component API design, UI kits Hybrid applications: WebView, React Native HOW WE WORK Decisions in writing. Significant technical decisions are written up as an RFC or ADR that lays out the options and trade-offs. We discuss the document, not a blank whiteboard. AI is part of everyday engineering. We use AI coding tools for development and review, and we treat configuring them for a codebase as real engineering work. HOW WE HIRE Intro call. Your background, your motivation and the role. Technical interview. Built directly on the What you will own and Required sections above. We won't ask about anything this posting doesn't promise. Bar raiser. An engineer from outside the hiring team checks that you raise the overall engineering bar. THE TEAM You will work alongside product managers, designers, frontend and backend engineers, and QA. 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. EMPLOYMENT DETAILS Location: Remote  Employment Type: Full-time Schedule: 10:00–19:00 (flexible) Contract: Employment agreement (entity or EOR arranged per candidate location) EQUAL EMPLOYMENT STATEMENT Xsolla is dedicated to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, language, sexual orientation, national origin, genetics, political beliefs, disability, age, marital status, social background or other characteristics. We are committed to compliance with all fair employment practices regarding citizenship and immigration status. CONTACT If you have questions regarding our hiring practices, please contact careers@xsolla.com. For more vacancies, visit xsolla.com/careers.

Задачи: — Тесное взаимодействие и поддержка продуктовой команды разработки: участие в планировании, работа с разработчиками напрямую — Создание и поддержка helm-charts, kustomize и GitLab CI/CD pipelines — Создание и эксплуатация различных окружений от тестирования до продакшена — Настройка мониторинга, алертинга и логирования для сервисов команды — Обеспечение стабильной работы сервисов в тесном сотрудничестве с инфраструктурной командой — Обнаружение потенциальных проблем и участие в создании решения по их устранению — Поиск, тестирование и внедрение новых решений, помогающих оптимизировать текущие процессы и повысить качество предоставляемых услуг Требования: — Уверенное понимание принципов работы k8s — Уверенный Linux — Git, GitLab, GitLab CI — Prometheus stack — ELK/EFK — Опыт работы с брокерами сообщений (Kafka) — Знание любого скриптового языка программирования — Опыт работы бок о бок с разработчиками, а не через очередь тикетов — Готовность быстро погружаться в незнакомые сервисы и технологии — Опыт работы с ClickHouse, PostgreSQL, Redis, Aerospike — на уровне уверенного пользователя, а не эксплуатанта кластеров (будет плюсом) — Опыт работы в продуктовой или платформенной команде на highload-проекте (будет плюсом) Условия: — Полное официальное трудоустройство — Рабочий ноутбук на выбор: Mac или PC — Покупка билетов до Кипра за счёт компании — Помощь с переездом семьи из любого региона — Рабочая виза для сотрудника и гостевая виза для членов семьи — Предоставляем жильё на первый месяц — Медицинская страховка и мобильная связь — Бесплатные обеды и напитки — Всегда полные корзины фруктов и всяких вкусняшек в офисе — Бесплатные курсы английского и греческого языков — Оплата занятий спортом — Частичная оплата школ и детских садов

Задачи: — WEB, manual/automation, backend/frontend Требования: — Опыт в QA от 3 лет — C# + автотесты (SpecFlow или аналоги) — JavaScript — REST / SOAP / HTTP — MSSQL / PostgreSQL, чтение хранимых процедур — Kafka / RabbitMQ — Понимание Kubernetes и React — Jira / Confluence, Agile / Scrum — Опыт в банковских, кредитных или других сложных интеграционных системах (плюсом) Условия: — Удаленная работа

Задачи: — Автоматизация тест-кейсов — Сопровождение и поддержка существующих автотестов в актуальном состоянии — Запуск автотестов и анализ отчетов — Модернизация и оптимизация фреймворка автоматизации тестирования — Работа с документацией (Confluence, Swagger, ТестОпс) Требования: — Коммерческий опыт автоматизации тестирования веб-приложений (SOAP, REST) на языке Python от 1 года — Знание теории и методик тестирования ПО — Знание и применение ООП и основных паттернов проектирования в автоматизации тестирования — Знание HTTP, REST, SOAP и клиент-серверной архитектуры, микросервисной архитектуры — Знание SQL (на уровне join) — Опыт разработки автотестов (pytest + requests + allure) — Опыт работы с Git — Опыт использования CI/CD GitLab — Опыт работы с брокерами сообщений Kafka, ActiveMQ — Опыт работы с системами логирования Kibana, Grafana — Опыт работы Docker, K8s (будет плюсом) — Работа с 1C (будет плюсом) Условия: — Официальное трудоустройство в аккредитованную IT-компанию — ДМС — Удаленный формат работы (предоставляем технику, если нужно) — Возможности обучения и развития за счет компании — Можно работать из офиса в СПб с современным дизайном и лучшими видами на Финский залив, зонами отдыха с выходом на крыше

Задачи: – Анализ и тестирование требований к продукту – Тестирование обменов (интеграций) – Тестирование микросервисов (REST и SOAP) – Проектирование, разработка и поддержка тестовой документации (тест-кейсы, чек-листы) – Локализация и заведение баг-репортов, проверка исправлений – Покрытие тест-кейсами legacy Требования: – Опыт ручного тестирования от 1 года (коммерческий опыт обязательно) – Опыт ведения тестовой документации (обязательно) – Знание теории тестирования (обязательно) – Знание SQL на уровне select, join (обязательно) – Опыт работы с инструментами для тестирования API (Postman, SoapUi) – Знание Bash (обязательно) – Опыт работы с брокерами сообщений (Kafka, ActiveMQ) – Опыт работы с системами баг-трекинга (Jira, ТестОпс) – Опыт работы с системами логирования (Kibana) – Понимание работы клиент-серверных приложений – Будет плюсом знание: 1С, Docker, K8s Условия: – Официальное трудоустройство в аккредитованную IT-компанию – ДМС – Удаленный формат работы (предоставляем технику, если нужно) – Возможности обучения и развития за счет компании – Можно работать из нашего офиса в СПБ с современным дизайном и лучшими видами на Финский залив, зонами отдыха с выходом на крыше

Задачи: — Отвечать за надёжность, производительность и масштабирование production PostgreSQL-кластеров в 24/7 среде — Влиять на архитектуру и развитие database-инфраструктуры — Заниматься reliability engineering, performance tuning и автоматизацией Требования: — 5+ лет hands-on опыта с PostgreSQL в production — Глубокое понимание PostgreSQL: WAL, VACUUM/autovacuum, locking, memory management — Опыт performance tuning: execution plans, индексы, оптимизация запросов, partitioning — Опыт HA/DR: replication, failover, backup/recovery, Patroni или аналоги — Опыт работы с Linux + Python для автоматизации — Опыт работы с high-load / highly available 24/7 системами — Английский Upper-Intermediate+

Location: Paris, France Workplace: Hybrid We’re a team of experts pushing the limits of what’s possible, united by our common goal to unlock true freedom through digital ownership, making technology accessible for all. We believe in a world where users, creators and enterprises manage their value with ownership and freedom. Our curiosity drives us to innovate, empowering individuals on a global scale. We believe change is constant and our team moves forward as one, with a culture of problem-solving where every employee is empowered and supported to challenge tradition and create solutions. Our mission is simple: to make self-custody accessible and give people the keys to their own financial futures. If you want to make a true impact, we want you to join us at Ledger. At Ledger, we’re proud to be the global platform for digital assets and Web3, with over 20% of the world’s crypto assets secured through our Ledger devices. With our headquarters in Paris, and offices in Vierzon, Grenoble, Montpellier, London, Portland, Geneva, Zurich and Central Singapore, we have a team of around 600 professionals developing a variety of products and services to enable individuals and companies to securely buy, store, swap, grow and manage crypto assets – including the Ledger hardware wallets line with more than 7.5 millions units already sold in 200 countries.   The team To sustain the company's growth, Ledger is looking for a Senior Scala Backend Engineer to join the Cloud Wallet team. This team builds and operates the backend services that power blockchain account management, transaction processing and on-chain data aggregation across all Ledger wallet surfaces, from Ledger Live to Ledger Enterprise, the custody platform used by financial institutions. Every client transaction goes through these services, and so does every new blockchain Ledger supports. We believe in the power of functional programming to build robust and scalable platforms. We take time to share, challenge, and grow together through bi-weekly knowledge-sharing sessions, meetups, conferences, and open source contributions.   What you’ll be doing - Design, build and operate the Scala services that connect Ledger wallets and the Ledger Enterprise platform to blockchain backends: account creation, operation history, transaction crafting, broadcast and lifecycle tracking. - Lead new blockchain integrations end to end, from the integration design (ADR) to production, across account-based, UTXO and privacy-preserving chains. - Own production quality on your scope: SLIs and SLOs, observability, distributed tracing. Take part in the firefighting rotation and drive incidents to resolution, including those raised by institutional clients. - Define clear contracts with the Coin Integration and Ledger Enterprise teams, for example where UTXO selection lives or how transaction states are exposed to consumers. - Write and review ADRs, challenge designs, and raise the bar on code quality, testing (including end-to-end on testnets) and technical debt management. - Work in an AI-native way: use coding agents daily, write the specifications, constraints and verification that let them deliver safely, and contribute to the team's AI tooling. - Mentor other engineers and share your knowledge across the Backend Blockchain community.   You will collaborate cross-functionally with: - The Coin Integration team for coin modules and new blockchain integrations. - The Ledger Enterprise team, main consumer of the team's services for institutional custody. - The Ledger Wallet, Ledger Button and Wallet XP teams as consumers of the team's backend APIs. - The Blockchain platform team for data model alignment, indexing and event streaming. - The Infrastructure and SRE teams for deployment, reliability and scalability. - The Security team (Donjon) for vulnerability analysis and remediation. - The Product team for roadmap prioritization and customer-driven requirements.   What we’re looking for - 5+ years of backend engineering, with real production ownership of distributed systems. - Strong production experience - Interest for Scala and functional programming practice - Hands-on blockchain integration experience: transaction lifecycle, fees, finality, reorgs, on at least two models among account-based, UTXO and privacy-preserving chains. - Experience with event-driven systems and data infrastructure (PostgreSQL, RabbitMQ, NATS or equivalent) and with observability tooling (Datadog or equivalent). - Able to diagnose an incident across several services and own the outcome, from root cause to fix in production. - Comfortable reading and contributing to TypeScript code, as the team works on a polyglot stack. - Daily use of AI coding tools, with a critical eye on their output. - Clear written communication in English, especially for design documents and incident reports. At Ledger, we are dedicated to continually investing in our employees which is why we offer more than just salaries; we provide comprehensive compensation packages that include a wide range of benefits. Here are some of the benefits you can look forward to: - Flexible work options - Our hybrid policy allows employees to work from home up to 3 times per week - Health & Wellness support - Health and Life Insurance. - Financial growth opportunities - Employees can become shareholders in Ledger as well as other financial benefits depending on your country of work. - Commuter allowance - Ledger offers a commuter allowance to contribute to your preferred means of transportation. - Learning & Development - A comprehensive suite of training solutions providing a personalised learning experience for every employee. For regionally specific benefits, your Talent Acquisition contact will be able to provide you with more information. We’re committed to building an inclusive hiring process. If you need any adjustments or accommodations, just let us know, we’ll do our best to support you.

Location: Munich; Warsaw; London Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE The Inference Foundation team owns the core of Mistral's inference stack: the inference engine and its orchestration, from the feature set and configuration that serve our models in production to the release machinery that keeps the stack current and production-grade. This is a hybrid position spanning production LLM serving, engine and platform development, and capacity engineering. You will work on three intertwined problems: 1. Optimize the inference stack at scale — feature development and fixes in the engine and orchestrator, squeezing more throughput and lower latency out of every GPU under strict quality-of-service targets. 2. Make capacity elastic — scaling up and down should be cheap and fast, not a performance cliff. 3. Power the training of our frontier models — high-performance serving that keeps RL and post-training loops running at full speed.   What You Will Do INFERENCE ENGINE & ORCHESTRATION - Develop and fix the core of the inference stack — engine and orchestrator — including feature selection, configuration, and tuning for maximum performance at scale - Own the release process for the serving stack: validated, regression-free releases through automated performance gates and progressive rollout - Drive improvements and fixes upstream when the open-source engine is the right place for them PERFORMANCE & CAPACITY AT SCALE - Optimize serving efficiency across the fleet — driving down pod startup time, tackling cold-cache regressions on scale-up, smarter caching and offloading - Optimize and maintain the optimal serving topology — overlap communication and transfers with computation, ensure optimal placement, connectivity, and routing SERVING FOR FRONTIER TRAINING - Build the serving infrastructure that powers RL and post-training for our frontier models - Optimize inference performance across the full spectrum of our workloads   What We're Looking For - Experience building and running ML/LLM services at scale, with clear latency and availability targets - Hands-on experience with inference engines such as vLLM, SGLang, TensorRT-LLM, or others - A solid grasp of inference internals: prefill vs. decode, KV-cache behavior, batching, scheduling, speculative decoding, parallelism strategies - Familiarity with distributed and disaggregated serving architectures - Comfortable debugging across the full stack — CUDA/NCCL, kernels, containers, networking, storage - Python for systems tooling and backend services; PyTorch - Kubernetes for running infrastructure at scale - GPU and networking fundamentals: CUDA runtime, NCCL, InfiniBand/RDMA It Would Be Great If You Have - Demonstrated vLLM/sglang know-how — upstream contributions, or a track record of running in demanding production environments - Hardware-aware optimization for various model architectures - Experience serving MoE models at scale (expert parallelism, expert placement/load balancing) - CUDA/Triton kernel development; Nsight Systems/Compute profiling - Rust and/or C++ in production systems WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: AU: Melbourne: (260 Burwood Rd); AU: Sydney (45 Clarence St) Workplace: Hybrid The role As our 'Engineering Manager - Data', you will lead the engineering team responsible for creating and maintaining core models on our data platform. In this role, you will balance strategic leadership with technical delivery, shaping platform architecture while staying close enough to execution to ensure delivery, stability, and quality standards are met. You will empower and grow senior engineering talent, establish operational standards, and manage risk and dependencies across key quarterly initiatives. Partnering closely with product, platform, and security teams, you will ensure high-quality, scalable data products are delivered to solve meaningful customer problems. The team & how they connect The 'Dataverse' team consists of nine engineers located across Australia, New Zealand, and Canada who build and maintain the core models in our data platform. Working across remote locations, the team collaborates closely to manage cross-team dependencies and maintain continuous alignment. They foster an environment grounded in knowledge sharing, constructive feedback, and empathy for stakeholders. Initially, the role may focus on - Designing and building core models on the data platform using AWS and Snowflake infrastructure. - Streamlining real-time data flows and streaming architecture across platform services. - Leading delivery execution for complex data platform initiatives while managing dependencies and risks. - Coaching senior engineers, elevating engineering standards, and supporting team adoption of DataOps practices. Where and how you can work This role offers flexible hybrid working arrangements based out of our Sydney or Melbourne offices. You can balance remote work with designated office boost days to connect, whiteboard, and collaborate in person with your team. Here are some of the things we're looking for, for this role: - A background in data platform delivery alongside data engineering expertise and data modelling capability. - Practical familiarity with cloud infrastructure like AWS and Snowflake, along with an understanding of real-time streaming technologies and data flows. - Your leadership style combines delivery focus with the technical breadth required to guide architectural decisions and step in hands-on when required. - Proven capability in coaching senior engineers, setting clear expectations, and supporting individual career progression. - Demonstrated proficiency managing platform health, establishing Service Level Objectives, and leading operational performance. - Strong collaborative skills to build trusted relationships across product, platform, and security teams. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Разрабатывать, обучать и внедрять ML/DL-модели для бизнес-задач. Строить AI-агентов и multi-agent workflows с tool/function calling, MCP и LangGraph/LangChain (или аналогами).

🌸Build Android features end-to-end - from technical design to production, with real ownership. 🌸Contribute to mobile product development - primarily on Android, with opportunities to collaborate across both Android and iOS.

Location: Europe Workplace: Remote ABOUT ENEBA At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers. ABOUT THE ROLE We’re looking for an Analytics Engineering Lead to set the direction for analytics engineering at Eneba and help the team deliver trusted, business-ready data. You’ll lead a team of around 10 analytics engineers. You’ll define what analytics engineering owns and where it is going, connect the team’s work to real business needs, and ensure curated data can be used directly by business teams, BI tools, and AI agents without an analyst in between. WHAT YOU’LL DO - Create and own the analytics engineering strategy, direction, and goals. - Lead, coach, and develop a team of around 10 analytics engineers through regular feedback, one-to-ones, performance management, review cycles, and hiring, helping them become increasingly autonomous. - Establish the analytics data-modeling architecture, engineering principles, quality standards, and ways of working that guide how the team builds and maintains models. - Ensure analytics engineering work begins with a clear understanding of the business problem and delivers data that people can use with confidence. - Enable reliable self-service analytics by making curated data usable by business teams, BI tools, and AI agents, with appropriate semantic layers, metrics, discoverability, and governance. - Evaluate the current analytics landscape and make pragmatic, evidence-based decisions about what should be improved, stopped, rebuilt, or delegated. - Partner directly with stakeholders across the company, including teams such as Accounting, Payments, and Marketing, as well as senior leaders. - Build a strong understanding of Eneba’s business and translate varied stakeholder needs into a clear direction for the team. - Identify and empower technical experts within the existing team to help define and implement engineering standards. - Evaluate analytics tooling and delegate technical discovery where appropriate, while retaining final ownership of analytics engineering architecture and tooling decisions. REQUIREMENTS - Proven experience leading and developing data, analytics, or analytics engineering and people-management in product-focused tech companies. - Experience defining strategy and setting direction for analytics engineering, data modeling, or a closely related function. - A track record of establishing data-modeling architecture, principles, or standards that guide how other engineers build and maintain models. - Strong business judgment: you focus on why data is needed and what problem it solves, not only how models are built. - Strong stakeholder management and communication skills, with proven experience partnering closely with product leadership and representing data in executive-level and cross-functional discussions. - Ability to form clear, evidence-based opinions, challenge existing approaches, and lead change under sustained pressure including recommending that work be stopped or rebuilt when needed. - Experience operating in a high-growth, fast-moving organization with low approval layers, where data supports many business functions. Scale-up experience is helpful. - Working knowledge of SQL and data modeling, hands-on experience with DBT, and familiarity with at least one BI or dashboarding tool. - Fluent English (business proficiency required) What it’s like to work at Eneba - Opportunity to join our Employee Stock Options program. - Opportunity to help scale a unique product. - Various bonus systems: performance-based, referral, additional paid leave, personal learning budget. - Paid volunteering opportunities. - Work location of your choice: office, remote, opportunity to work and travel. - Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes. - We’re an international team and our business language of choice is English. Good English level is required, proficiency is preferred. Please submit your resume in English - To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice https://www.eneba.com/candidate-privacy-notice   #LI-LK1

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