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Location: Estonia Job Overview React, Next.js, architecture and interactive graphics | 5 to 8 years This role owns technical direction for complex front-end features and supports the team through design decisions, reviews and mentoring. The successful candidate should combine strong React and Next.js engineering with architecture, performance and integration expertise. Must Have Skills • Advanced experience with React, Next.js, TypeScript and modern hooks-based component design. • Ability to design scalable front-end architecture with a single source of truth and clear boundaries between UI, business logic and data access. • Experience designing reusable component libraries and governing consistent component APIs. • Deep experience with Zustand, Redux Toolkit or an equivalent state-management approach, including efficient selector design. • Strong HTML, CSS and SCSS skills, including responsive design, accessibility and style isolation. • Experience implementing interfaces from detailed visual specifications and using design systems such as IBM Carbon or Material UI. • Strong REST API integration experience, including typed models, adapters, polling and defensive handling of missing or inconsistent data. • Experience defining or validating API contracts with backend teams and applying contract-testing principles. • Demonstrated performance expertise, including profiling, memoisation, code splitting, lazy loading and bundle analysis. • Awareness of frame rate, GPU utilisation and memory behaviour on graphics-heavy screens. • Hands-on experience with WebGL, three.js or React Three Fiber, including scene and camera control, pointer picking and animation timelines. • Experience managing events and interaction across layered UI and graphics surfaces. • Experience integrating map SDKs, handling coordinate systems, implementing provider fallbacks and managing API tokens safely. • Ability to build components that integrate into an existing host application through clean props and callbacks, isolated styles and no unintended global side effects. • Strong testing experience with Vitest or Jest and React Testing Library, supported by a practical test strategy. • Experience with strict TypeScript, error boundaries, cross-browser testing and browser DevTools. • Experience contributing to CI/CD pipelines, Git workflows and high-quality pull-request reviews. • Experience with Azure DevOps • Proven technical leadership through mentoring, task breakdown, estimation and technical documentation. • Understanding of front-end security fundamentals, including secure environment configuration, safe logging and responsible third-party dependency use. Good to Have Skills • Experience with advanced animation libraries such as GSAP or Framer Motion. • Experience with charting and data-visualisation libraries. • Experience with visual regression testing or end-to-end testing using Playwright • Experience with internationalisation and localisation at scale. • Familiarity with micro-frontends, monorepos or design-system governance. • Experience with production observability, release support and incident investigation. • Experience leading technical discovery or proof-of-concept work for complex interactions. Salary: $30 – $35 / hour

Location: Lithuania Job Overview React, Next.js, architecture and interactive graphics | 5 to 8 years This role owns technical direction for complex front-end features and supports the team through design decisions, reviews and mentoring. The successful candidate should combine strong React and Next.js engineering with architecture, performance and integration expertise. Must Have Skills • Advanced experience with React, Next.js, TypeScript and modern hooks-based component design. • Ability to design scalable front-end architecture with a single source of truth and clear boundaries between UI, business logic and data access. • Experience designing reusable component libraries and governing consistent component APIs. • Deep experience with Zustand, Redux Toolkit or an equivalent state-management approach, including efficient selector design. • Strong HTML, CSS and SCSS skills, including responsive design, accessibility and style isolation. • Experience implementing interfaces from detailed visual specifications and using design systems such as IBM Carbon or Material UI. • Strong REST API integration experience, including typed models, adapters, polling and defensive handling of missing or inconsistent data. • Experience defining or validating API contracts with backend teams and applying contract-testing principles. • Demonstrated performance expertise, including profiling, memoisation, code splitting, lazy loading and bundle analysis. • Awareness of frame rate, GPU utilisation and memory behaviour on graphics-heavy screens. • Hands-on experience with WebGL, three.js or React Three Fiber, including scene and camera control, pointer picking and animation timelines. • Experience managing events and interaction across layered UI and graphics surfaces. • Experience integrating map SDKs, handling coordinate systems, implementing provider fallbacks and managing API tokens safely. • Ability to build components that integrate into an existing host application through clean props and callbacks, isolated styles and no unintended global side effects. • Strong testing experience with Vitest or Jest and React Testing Library, supported by a practical test strategy. • Experience with strict TypeScript, error boundaries, cross-browser testing and browser DevTools. • Experience contributing to CI/CD pipelines, Git workflows and high-quality pull-request reviews. • Experience with Azure DevOps • Proven technical leadership through mentoring, task breakdown, estimation and technical documentation. • Understanding of front-end security fundamentals, including secure environment configuration, safe logging and responsible third-party dependency use. Good to Have Skills • Experience with advanced animation libraries such as GSAP or Framer Motion. • Experience with charting and data-visualisation libraries. • Experience with visual regression testing or end-to-end testing using Playwright • Experience with internationalisation and localisation at scale. • Familiarity with micro-frontends, monorepos or design-system governance. • Experience with production observability, release support and incident investigation. • Experience leading technical discovery or proof-of-concept work for complex interactions. Salary: $30 – $35 / hour

Location: Latvia Job Overview React, Next.js, architecture and interactive graphics | 5 to 8 years This role owns technical direction for complex front-end features and supports the team through design decisions, reviews and mentoring. The successful candidate should combine strong React and Next.js engineering with architecture, performance and integration expertise. Must Have Skills • Advanced experience with React, Next.js, TypeScript and modern hooks-based component design. • Ability to design scalable front-end architecture with a single source of truth and clear boundaries between UI, business logic and data access. • Experience designing reusable component libraries and governing consistent component APIs. • Deep experience with Zustand, Redux Toolkit or an equivalent state-management approach, including efficient selector design. • Strong HTML, CSS and SCSS skills, including responsive design, accessibility and style isolation. • Experience implementing interfaces from detailed visual specifications and using design systems such as IBM Carbon or Material UI. • Strong REST API integration experience, including typed models, adapters, polling and defensive handling of missing or inconsistent data. • Experience defining or validating API contracts with backend teams and applying contract-testing principles. • Demonstrated performance expertise, including profiling, memoisation, code splitting, lazy loading and bundle analysis. • Awareness of frame rate, GPU utilisation and memory behaviour on graphics-heavy screens. • Hands-on experience with WebGL, three.js or React Three Fiber, including scene and camera control, pointer picking and animation timelines. • Experience managing events and interaction across layered UI and graphics surfaces. • Experience integrating map SDKs, handling coordinate systems, implementing provider fallbacks and managing API tokens safely. • Ability to build components that integrate into an existing host application through clean props and callbacks, isolated styles and no unintended global side effects. • Strong testing experience with Vitest or Jest and React Testing Library, supported by a practical test strategy. • Experience with strict TypeScript, error boundaries, cross-browser testing and browser DevTools. • Experience contributing to CI/CD pipelines, Git workflows and high-quality pull-request reviews. • Experience with Azure DevOps • Proven technical leadership through mentoring, task breakdown, estimation and technical documentation. • Understanding of front-end security fundamentals, including secure environment configuration, safe logging and responsible third-party dependency use. Good to Have Skills • Experience with advanced animation libraries such as GSAP or Framer Motion. • Experience with charting and data-visualisation libraries. • Experience with visual regression testing or end-to-end testing using Playwright • Experience with internationalisation and localisation at scale. • Familiarity with micro-frontends, monorepos or design-system governance. • Experience with production observability, release support and incident investigation. • Experience leading technical discovery or proof-of-concept work for complex interactions. Salary: $30 – $35 / hour

Location: Bellevue, United States 📍 Location: Bellevue, WA 📄 Employment Type: 6-Month W-2 Contract | Potential for Full-Time Conversion 🏢 Work Arrangement: Hybrid — 3 Days/Week On-Site 🗓️ Schedule: Monday–Friday 🚀 Start Date: TBD 💰 Compensation: TBD — based on skills and experience Important Screening Requirements Must be a U.S. Person — U.S. Citizen or U.S. Permanent Resident (Green Card holder) . Must be able to work on-site in Bellevue, WA, 3 days per week . Strong hands-on experience developing embedded C firmware for 32-bit ARM Cortex-M or similar microcontrollers. Experience with register-level peripheral programming. Hands-on PCB and firmware bring-up experience. Working knowledge of USB-C / USB Power Delivery (USB-PD) . Experience communicating with companion ICs through I2C, SPI, and/or UART. Proficiency with bench-level debugging equipment, including oscilloscopes, logic/protocol analyzers, multimeters, SWD/JTAG debuggers, and UART logging. Ability to work from datasheets, register tables, and schematics. Proficiency with Git. About the Role We are seeking a hands-on Embedded Firmware / Software Engineer – USB-C Power Delivery to bring up new hardware platforms built around USB-C Power Delivery controllers and develop firmware from initial PCB power-on through production-quality implementation. This is a low-level embedded firmware engineering role focused on hardware interaction, not application-level software development. You will develop and debug embedded C firmware on ARM Cortex-M microcontrollers, configure companion ICs over I2C, SPI, and UART, and work directly at the hardware bench alongside electrical and hardware engineers. The ideal candidate can move comfortably between embedded C development, PCB bring-up, USB-PD functionality, peripheral communication, and hardware-level debugging. What We’re Looking For We’re looking for an engineer who is genuinely comfortable working at the hardware bench and has personally brought up and debugged embedded hardware. The ideal candidate can explain how they powered on a new board, validated power and clocks, initialized the microcontroller, configured peripherals, debugged hardware and firmware issues, and verified USB-C Power Delivery behavior. Strong candidates will combine expertise in: Embedded C + ARM Cortex-M + PCB Bring-Up + USB-C/USB-PD + I2C/SPI/UART + Bench Debugging Candidates whose experience is limited to application-level software development, without hands-on firmware and hardware bring-up experience, may not be a fit. Key Responsibilities PCB Bring-Up & Hardware Validation Bring up new printed circuit boards (PCBs) from initial power-on through functional firmware. Validate power rails, clocks, and hardware interfaces during board bring-up. Connect and configure SWD/JTAG debuggers. Enable and validate microcontroller peripherals. Work closely with hardware engineers to isolate hardware versus firmware issues. Support development from initial prototype bring-up through production-quality firmware. Embedded Firmware Development Develop and debug embedded C firmware on ARM Cortex-M-class microcontrollers. Implement register-level peripheral programming. Configure and communicate with companion ICs over I2C, SPI, UART, and other peripheral interfaces. Work within memory-constrained environments, accounting for flash and RAM limitations. Analyze datasheets, register tables, and schematics to configure and troubleshoot hardware. Document firmware configurations, implementation decisions, and design considerations. USB-C & Power Delivery Implementation Implement and debug USB-C and USB-PD functionality, including: Source and sink roles Dual-role power (DRP) Power-contract negotiation Fault handling and recovery Validate USB-PD behavior and troubleshoot power-delivery issues. Support the implementation and verification of reliable USB-C Power Delivery functionality. Work with hardware engineers to resolve issues involving USB-PD controllers and associated circuitry. Hardware Debugging & Testing Debug firmware and hardware directly at the bench using: Oscilloscopes Logic and protocol analyzers Digital multimeters SWD/JTAG debuggers UART logging Investigate hardware and firmware issues using schematics, register maps, and measurement results. Validate peripheral communication and hardware functionality. Support troubleshooting throughout development and testing. Documentation & Engineering Collaboration Maintain clear documentation of firmware configurations and design decisions. Collaborate closely with hardware and electrical engineering teams. Communicate debugging findings and support root-cause investigations. Use Git for source control and firmware development workflows. Contribute to firmware quality and production readiness. Required Qualifications Strong proficiency in embedded C . Experience developing firmware on 32-bit ARM Cortex-M or similar microcontrollers . Strong understanding of: Interrupts Register-level peripheral programming Memory-constrained embedded development Flash and RAM limitations Working knowledge of USB-C and USB Power Delivery. Understanding of USB-PD source, sink, and dual-role power (DRP) configurations. Understanding of USB-PD power-contract negotiation and fault handling. Hands-on experience with hardware and PCB bring-up. Experience communicating with and configuring companion ICs through I2C, SPI, UART, or similar interfaces. Ability to read and work from datasheets, register maps, and schematics. Experience using oscilloscopes, logic/protocol analyzers, multimeters, SWD/JTAG debuggers, and UART logging. Proficiency with Git. Strong troubleshooting and hardware/firmware debugging skills. Ability to collaborate closely with hardware and electrical engineering teams. Preferred Qualifications Experience with Infineon or Cypress MCU SDKs/IDEs and associated middleware. Experience with ModusToolbox, STM32Cube, or similar development environments . Experience creating or customizing a Board Support Package (BSP). Experience with firmware bootloaders and update mechanisms, including DFU or equivalent. Experience with power-path or regulator firmware, including: VBUS control Over-voltage protection (OVP) Under-voltage protection (UVP) Over-current protection (OCP) Fault detection and recovery Enable and soft-start sequencing Experience with USB subsystems such as: USB hubs DisplayPort Alt Mode Redrivers Retimers Billboard devices Nice-to-Have Qualifications Experience with Infineon EZ-PD / PMG1 or Cypress CCGx USB-PD controllers . Experience with ModusToolbox. Experience implementing continuous integration (CI) for embedded firmware builds. Familiarity with USB-IF Power Delivery compliance requirements and USB-C specifications. Experience taking embedded products from prototype hardware through production.

We are looking for a Senior Software Engineer II, Applied AI to join our Agentic Systems team, where you'll build AI agents that automate workflows for teams across Wrapbook. Design and build production-grade AI agents with LangGraph that automate multi-step workflows for internal teams across Wrapbook.

Location: Redwood Shores MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. As a Regional Sales Manager, you will own the full sales cycle for new and expansion opportunities across commercial and mid-market accounts. You will establish MinIO’s value proposition, and close deals contributing to our overall success. You’ll need to thrive in a fast-paced, agile setting and work cross-functionally to help us expand from a product-led sales approach to include a sales-driven growth strategy. This role requires comfort in a fast-paced, agile environment and close cross-functional collaboration as we evolve from a primarily product-led motion to a hybrid model that includes sales-driven growth. What You Will Do New Business Development: Prospect, qualify, and close new business across commercial and mid-market accounts. Drive opportunities from first meeting through technical validation, pricing, and close Expand and Retain Accounts: Manage relationships with strategic customers, identifying opportunities to cross-sell, upsell, and deliver measurable value. Articulate Value: Become an expert in communicating MinIO’s benefits to technical and business stakeholders, focusing on business impact and customer success. Collaborate Cross-Functionally: Partner with internal teams, including product, marketing, and customer success, to deliver seamless customer experiences. Pipeline and Forecast Management: Build and manage a healthy pipeline with disciplined forecasting and deal hygiene Use MEDDPICC (or similar) to qualify deals and drive predictable outcomes Maintain accurate pipeline, forecasting, and activity tracking in Salesforce Collaborate cross-functionally with Field Architects, Marketing, Customer Success, and Product Your Skills and Experience Proven Sales Track Record: 3+ years of experience in B2B SaaS or infrastructure sales experience sales with consistent quota achievement and expertise in managing complex, high-value sales cycles. New Business Acumen: Strong background in sourcing and closing new customers, particularly in enterprise or mid-market segments. Account Growth Expertise: Demonstrated ability to expand and retain accounts through cross-sell, upsell, and delivering measurable customer value. Technical Domain Knowledge: Familiarity with cloud-native technologies, data infrastructure, or B2B SaaS. Experience engaging with technical buyers, including VPs of Infrastructure, Engineering, and Enterprise Architects. Startup Mindset: Thrives in fast-paced environments, with experience at early or growth-stage companies. Challenger Sales Approach: Skilled at challenging the status quo, demonstrating clear business value, and driving competitive wins. Communication & Negotiation: Excellent verbal and written communication skills, with the ability to influence decision-makers and navigate complex negotiations. Team Collaboration: Proven ability to work across functions, leveraging internal resources to achieve customer success. Experience managing deal sizes ranging from $50k to $300k+. Expertise in pipeline generation tools (e.g., SalesLoft, Outreach) and social selling (e.g.,LinkedIn Navigator). Familiarity with Force Management, MEDDPIC or other sales methodologies. What We Offer: Health Care Plan (Medical, Dental & Vision) 401K with 3% Contribution Pre-IPO Stock Options At least 12 Public Holidays Flexible Time Off Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Location: British Columbia Workplace: Hybrid We have an immediate opening and are excited to find the right candidate to join our team. Safe Software is looking for a Senior Software Developer to join our Form team. As a Senior Software Developer, you will drive scalable, maintainable solutions; shape cross-team architecture and practices; and coach and empower other developers. This role has a strong security focus: hardening FME Form against memory-safety and dependency risk, and raising the security bar of the codebase and the team that works in it. ABOUT THE TEAM As part of the FME Form product group, you'll join a group of collaborative development teams composed of team leaders, developers, quality analysts, and student interns who work together as a team and alongside product managers and user experience designers, on complex technical projects that provide direct value to our users. As a part of this close-knit and diverse team, you will work together with internal stakeholders to maintain and extend our flagship FME Form products that delight customers and empower them to author dataflows that can be shared, reused, and integrated with the FME Platform. WHAT YOU'LL BE DOING As a Senior Software Developer, you will: - Harden all areas of FME Form to be security sensitive. For example, eliminating classes of memory-safety defects rather than individual bugs - Build and own the tooling that finds problems early: fuzzing harnesses, sanitizer and static analysis coverage, and compiler/runtime hardening in our build pipeline - Drive, advocate and review threat modeling on shipped and upcoming features, and triage incoming vulnerability reports: assessing severity, scoping impact, and driving remediation - Architect and guide the implementation of complex, high-impact product features and systems - Lead cross-team technical initiatives, collaborating across departments to align on solutions and priorities - Provide technical mentorship and coach to developers across all levels, promoting secure-coding skill development and knowledge sharing - Champion best practices in software architecture, testing, security, and performance - Identify and lead efforts to address technical debt, system reliability, and process improvements - Represent technical and security perspectives in product planning, working closely with Product Management and UX - Provide expert input during code and design reviews, ensuring high quality and maintainability - Contribute to the evolution of Safe's development culture, standards, and tooling strategy QUALIFICATIONS, SKILLS, AND COMPETENCIES Safers come from a variety of backgrounds with a diversity in skills and knowledge. That said, we find that those who are most successful in this role have experience with the following areas. What We're Looking For: - Education: Bachelor's degree in Computer Science, Software Engineering, or a related field - Experience: 7+ years of professional software development experience, including technical leadership of complex projects and systems - Technical Expertise: Advanced proficiency in C++ for core system development; Python skills specifically for automation and scripting; architectural design, debugging, and optimization in large, complex codebases. Threat modeling (e.g. STRIDE and/or DREAD) on shipped features, and CVSS v4.0 scoring - Product Security: Demonstrated ownership of security-relevant code and the tooling that finds them: fuzzing, sanitizers, static analysis, SAST/DAST, and hardening; ability to triage and communicate vulnerability severity (CVSS, CWE) - Experience with A.I. coding agents (e.g. Claude Code, GitHub Copilot) - Influential communicator and mentor; able to align teams, foster collaboration, and lead through change - Comfortable with ambiguity and shifting priorities, and with making pragmatic risk tradeoffs - Strategic thinker with a systems-level perspective; proactive in identifying opportunities for innovation and continuous improvement; skilled at balancing technical depth with business context - Nice to Have: - SBOM generation and third-party vulnerability management at scale - Familiarity with industry frameworks and references such as OWASP and MITRE - Relevant certifications (e.g. OSED, OSCE, GXPN, SANS SEC661/SEC760, CSSLP) - Familiarity with Safe Software's core technology areas or similar technical domains - Experience with different operating systems (e.g. macOS, Linux) - Experience building desktop applications using the Qt Framework, specifically Qt Widgets WHAT YOU CAN EXPECT When you choose a career with Safe Software, you're also choosing… - Meaningful Work: Make a profound impact across our business, workplace and data integration product. - A Supportive Environment: Feel empowered to share your ideas and implement them with high autonomy and team support. - Social Responsibility: Become part of a team that finds meaningful ways to give back. Take paid time off to volunteer for one of our Safe-organized opportunities that align with our core community initiatives. - Learning & Career Development: We believe in your continuous learning and growth. Take advantage of an annual learning budget and training programs paid for by Safe. - Flexible Working Hours: Flexible and remote-friendly work arrangements to fit your lifestyle. Work when you want, and how you want to. - Work-Life Balance: There's no place for burnout at Safe. Maintain a healthy balance of your personal and work life without splitting yourself in two. Enjoy 3 weeks of vacation to recharge, plus an additional paid 6 seasonal days off per year. - Health & Wellness: Extended health, dental, health or lifestyle spending, and counseling benefits from day 1. That's right, no waiting period. - Family is important: We are dedicated to supporting our employees through parenthood and offer a Parental Leave Top-Up Program for new parents through childbirth or adoption. - Shared Success: Share in Safe's success with our bi-annual profit sharing and RRSP/TFSA matching program. - An Accessible Commute: Regardless of your commute method, we're located close to public transit, and provide complimentary parking and bike storage for our team!   ABOUT SAFE SOFTWARE Safe Software transforms organizations with FME, the only All-Data Any-AI Enterprise Integration Platform connecting all your data, anywhere, at any velocity. With over 30 years of expertise and 25,000+ enterprise customers across 125+ countries, we simplify your data journey, wherever it leads. Founded in 1993, Safe is headquartered in Surrey, BC with over 300 team members and counting. We’re always looking for talented individuals with diverse backgrounds who are determined to learn and grow. Are you ready to join the team? OUR COMMITMENT TO DIVERSITY AND INCLUSION Safe Software is an equal opportunity employer and we truly believe that innovation and strength begin with diversity and inclusion. We welcome all candidates regardless of race, gender identity or expression, sexual orientation, age, ability, disability, national or ethnic origin, political belief, religion, or family status. Should you require accommodations during the recruitment process, please contact hr_dept@safe.com. NOTICE REGARDING USE OF AUTOMATED TOOLS IN HIRING At Safe Software, we use automated tools to help us process applications and identify qualified candidates. These tools may assist in screening resumes and summarizing interview content based on the information you provide. This helps our team review applications efficiently while ensuring every candidate is considered based on the requirements of the role. Please be assured that the final hiring decision is always made by a member of our team. For more information on how we protect your privacy, please see our policy https://www.safe.com/legal/#applicant-privacy-policy. If you have questions about this process, please contact us at hr_dept@safe.com.

Location: Москва Мы — технологическая команда, создающая инновационные решения для спорта. Наш продукт направлен на трансформацию и объективизацию судейства. Мы ищем опытного специалиста в области MLE для участия в разработке и развитии наших решений. **Предстоит** работать с ключевым функциональным и архитектурным ядром нашей системы видеоаналитики, а именно: Обязанности * работать со скелетом как с многомерным временным рядом: сегментация выступления на элементы и фазы, детекция границ (отрыв, приземление, точки экстремума), выделение повторяющихся циклов, temporal action detection на видеопотоке, сглаживание и агрегация предсказаний по времени * участвовать в проектировании API, внутренних контрактов и структуры данных * оптимизировать модели для достижения целевых показателей задержки * развивать высокопроизводительный Python-фреймворк для CV/ML-пайплайна на более чем 15 моделей, работающих единовременно * реализовывать механизмы обработки с multiprocessing и multithreading. Обеспечивать эффективную оркестрацию между CPU и GPU-ресурсами * минимизировать накладные расходы на межпроцессное взаимодействие, копирование данных и работу с памятью. Проводить профилирование и устранять узкие места в video I/O, decode, inference и postprocessing * проводить профилирование и устранять узкие места на всех этапах: Video I/O, декодирование, препроцессинг, инференс, постобработка. Требования * опыт работы ML Engineer / CV Engineer от 3 лет * высокое качество кода на Python (OOP, Pydantic, SQLAlchemy, для DS - NumPy, OpenCV, PyTorch) * опыт реализации сложной вычислительной или бизнес-логики * практический опыт разработки production-ready ML/CV pipeline * опыт работы с видеоаналитикой, обработкой видео или потоковых данных * понимание особенностей Python runtime для высокопроизводительных пайплайнов: GIL, IPC, serialization, shared memory * опыт использования инструментов ускорения инференса: ONNX, TensorRT, TorchScript или аналогов * опыт работы с Linux, Docker, работы в команде в Git, CI/CD Будет плюсом: * опыт разработки расчетных систем * PostgreSQL, ClickHouse, SQLAlchemy * владение компилируемыми языками, такими как Go или C++, для реализации или оптимизации критичных по производительности частей системы * опыт работы со спортивной аналитикой или системами судейства. Условия * комфортный современный офис рядом с м. Кутузовская  * гибридный формат работы * ежегодный пересмотр зарплаты, квартальная и годовая премия * корпоративный спортзал и зоны отдыха более 400 образовательных программ СберУниверситета для профессионального и карьерного развития  * программа адаптации и помощь руководителя на старте  * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа  * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких  * вознаграждение за рекомендацию друзей в команду Сбера.

Задачи: — Владеть архитектурой ключевых частей SDK на Swift (SwiftUI + UIKit-interop, concurrency); — Решать сложные задачи стриминга и отзывчивого UI (сохранять плавность интерфейса при получении контента по частям); — Делать упор на производительность (устранять hitch-и, фризы главного потока, оптимизировать память и скорость запуска); — Профилировать приложение через Instruments, Memory Graph, MetricKit (поиск первопричин по трейсам); — Вести Swift 6 strict concurrency и data-race safety; — Проводить код-ревью и делиться экспертизой с командой. Требования: — Релевантный опыт разработки на iOS от 5 лет; — Глубокое знание Swift и зрелое понимание работы SwiftUI и UIKit (включая их ограничения и особенности интеграции); — Уверенная работа с Concurrency на уровне проектирования (actor-изоляция, structured concurrency, data-race safety); — Навык самостоятельных исследований проблем производительности от этапа «непонятно, что тормозит» до измеримого результата в цифрах. Будет плюсом: — Опыт работы с рендерингом текста и разметки; — Опыт работы с метриками производительности; — Опыт разработки библиотек и фреймворков в production. Условия: — Формат оформления: по ИП; — Проектное привлечение от 3 месяцев; — Удаленная работа из любой точки РФ (обязательное условие — первые 3 дня необходимо посещать офис в Москве для погружения в проект); — Возможность работать с передовыми технологиями и влиять на развитие масштабного продукта.

Location: Austria; France; Germany; Italy; Netherlands; Poland; Spain; United Kingdom Why Kimchi? Great models are raw ingredients. Kimchi is what happens when you ferment them with good engineering. We started inside CAST AI helping companies run LLMs on their own Kubernetes clusters; today we run our own coding harness on any model you pick, and we run the models underneath it ourselves. Kimchi Inference One API line and a customer's existing client just works: DeepSeek, GLM, Kimi, MiniMax, Nemotron served serverless from our own GPU fleet (OpenAI- and Anthropic-compatible, pay per token, spend visible per user, team, and key). When control matters, the same models run on the customer's own cluster instead. Behind that one line sits the machinery you'll own: SGLang and vLLM engines, B300 nodes, a shared cluster filesystem that holds every checkpoint exactly once, KV caches riding coding traffic with heavy prefix reuse, and the benchmark harness that gates every change we ship. Made by Cast AI — a Miami-headquartered, globally distributed team across 34 countries that hit unicorn status in January 2026 with a $50B+ backed investment pushing its valuation past $1 billion. About the role Throughput. Latency. Cold starts. Cost per token. Move those four numbers in the right direction and two things happen: customers get faster, cheaper inference, and our margins improve. That's the entire thesis of this role. Every loader you tune, every scheduler decision you land, every kernel you stare at shows up in a customer's p99 and on our P&L. Your mandate is the inference stack's optimization, whatever it takes, and the technical direction of how we optimize it is yours to argue with data. The problem: the checkpoints run 0.3-1.5 TB, and the "right" serving configuration depends on traffic shape, sequence-length distribution, batch dynamics, GPU SKU, memory bandwidth, and quantization tolerance, all variables that shift week to week. Most teams pick a configuration once, over-provision GPUs, and absorb the cost. We don't: we took Kimi-K3 (1.5 TB) from over an hour cold-to-serving to under twelve minutes with a shared filesystem, O_DIRECT weight loaders, and node-local JIT caches, and we're nowhere near done. Prefill/decode disaggregation and tiered KV caches are next. Stack: Python; SGLang; vLLM; TensorRT-LLM; PyTorch; fastsafetensors; CUDA-adjacent tooling; Kubernetes; virtiofs shared filesystems; ClickHouse; OpenTelemetry; Prometheus; Grafana; GitLab CI. Requirements You've built real ML systems for 5+ years, and your portfolio shows depth in inference or training infrastructure, not just model training notebooks. Your Python is production-grade: services, not scripts. You've run vLLM, SGLang, or TensorRT-LLM for real, and you have a working mental model of why an engine performs the way it does on a given GPU. You've measured quantization regressions, not just compression ratios. Multi-GPU and multi-node setups hold no fear: tensor and expert parallelism, collective communication, and their practical failure modes. You know where the bytes live (page caches, O_DIRECT, network filesystems under terabyte-scale reads) and how fast they move. You instrument before you optimize, and you can tell a real win from a benchmark artifact. A wide mandate excites you more than it unsettles you. Nice to haves You've worked on LLM routing specifically: RouterBench-class evals, cost/quality/latency Pareto fronts. Calibration, abstention, or conformal methods in production decision systems. You've run online A/B loops with drift monitoring on a model that touches real money. Responsibilities Push throughput. Continuous batching, chunked prefill, speculative decoding with draft models, CUDA-graph capture, and scheduler tuning across the engine fleet. Find the ceiling on each GPU SKU, then raise it. Cut latency. Attack TTFT and inter-token latency separately; profile to find the actual bottleneck (compute, memory bandwidth, scheduling, storage, or network) and fix it, not the one you assumed. Get more out of the KV cache. Hierarchical and paged attention, prefix caching on heavy-reuse coding traffic, eviction policies, quantized KV. A lot of the unrealized throughput lives here, and you'll own it. Kill cold starts. Weight loaders (O_DIRECT, fastsafetensors-class), JIT and compile caches, shared-filesystem read paths. A 1.5 TB checkpoint has no business taking an hour to reach serving. Quantize without regressing quality. INT8/INT4, FP8/FP4 across weights, activations, and KV, measured on real workloads, not just perplexity benchmarks. Scale across nodes. Distributed inference topologies, network-aware placement, prefill/decode disaggregation, checkpointing strategies that don't bottleneck on storage or interconnect. Set the technical direction. Decide what we benchmark, what we adopt, and what we build ourselves. Bring the team along with strong writeups and reproducible experiments. What’s in it for you? Competitive salary (depending on the level of experience). Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Задачи: — Выполнять задачи, ставящиеся перед командой, включая исследование ядра iOS, реверс-инжиниринг компонентов с закрытым исходным кодом, отладку смартфонов, проверку имеющихся уязвимостей и proof-of-concepts на эксплуатируемость, написание рабочих эксплоитов, объединение эксплоитов в цепочки. — Участвовать в процессе тестирования готовых эксплоитов, модифицировать и обновлять их при выходе новых версий ПО. — Предлагать команде свои идеи и участвовать в обсуждениях по вопросам новых разработок и исследований. Требования: — Способность быстро обучаться, анализировать большие объемы разрозненной информации и синтезировать их в конкретное знание, владение системным мышлением. — Умение работать и принимать решения в условиях ограниченной информации, отсутствие страха постановки гипотез, их проверки, отказа от нерабочих идей. — Способность фокусироваться на задачах, требующих большого количества времени для их решения вплоть до нескольких месяцев. — Способность сохранять продуктивность и не опускать руки, когда задача кажется невыполнимой. — Подтвержденный опыт написания эксплоитов или поиска критических уязвимостей (удалённое исполнение кода, повышение привилегий, выход из песочницы, обход защитных механизмов — RCE, LPE, SBX, mitigation bypasses) в iOS за последний год. — Понимание архитектуры и внутреннего устройства XNU: Mach, BSD, IOKit, threading, scheduling, memory management, IPC, kernel extensions (kext), kernel modules, DriverKit. — Владение языками программирования и инструментами: ассемблер ARM и AArch64, C, C++, Objective-C, IDA Pro, Ghidra, Hopper, LLDB, lldbinit, Frida, Clang/LLVM, Xcode. — Опыт отладки устройств iPhone и MacBook: JTAG, ktrace, sysdiagnose; умение разбирать crash dumps и kernel panics и выявлять причину ошибки. — Опыт изучения и использования на практике джейлбрейков и цепочек Coruna и DarkSword. — Знание современных механизмов защиты iOS: KPP, KTRR, PAC, PPL, SPTM, SEP, code signing, AMFI, keychain и т.п. — Умение настраивать и использовать LLM для автоматизации исследовательских задач. — Будет вашим преимуществом: опыт написания драйверов режима ядра для macOS, опыт поиска уязвимостей, знание языка Swift. — Английский язык на уровне чтения технической документации.

Location: Нижний Новгород Наша команда занимается сопровождением и обеспечением стабильной работы одной из крупнейших MDM-систем банка. Система обеспечивает централизованный сбор, хранение, обработку и анализ клиентских данных и играет ключевую роль в бизнес-процессах обслуживания физических лиц. Проект является важной частью ИТ-инфраструктуры банка: от его стабильности и надёжности зависит бесперебойная работа множества банковских сервисов. Обязанности * участие в приемо-сдаточных испытаниях, внедрение релизов на промышленный контур * решение обращений пользователей (инциденты и запросы на обслуживание) * настройка инфраструктурного и прикладного мониторинга * установка обновлений на сервера (ОС, СУБД) * участие в проведении аварийных учений * ведение базы знаний, подготовка инструкций для дежурной смены. **Технологический стек:** * ОС, приложения и системы хранения: Linux, Openshift, K8S, PostgreSQL, kafka, zookeeper * DevOps: Jenkins, Git, Ansible * мониторинг: Zabbix, Grafana. Требования * высшее техническое образование * понимание архитектуры современных автоматизированных систем/приложений * опыт администрирования/сопровождения прикладных автоматизированных систем * понимание основ ITSM/ITIL * знание сетевых протоколов **Будет плюсом:** * знание SQL и опыт работы с современными СУБД * опыт разработки на python * опыт сопровождения высоконагруженных автоматизированных систем * опыт работы с in-memory хранилищами и нереляционными СУБД * навыки работы с генеративными AI-моделями; опыт создания AI-агентов и использования их в работе * опыт работы в технической поддержке крупной компании/банке. Условия * комфортный современный офис * ежегодный пересмотр зарплаты, годовая премия * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s Inference organization serves Claude to millions of users and enterprise customers, across our own products and the world’s largest cloud platforms, with the speed, reliability, and efficiency that frontier AI demands. The stack that makes this possible is deep and tightly coupled: accelerator kernels, an in-house inference engine that manages the entire token path for both production and research workloads, distributed routing, autoscaling, and capacity management. Every layer affects the others, often in ways that are hard to see in isolation. We build across GPUs, TPUs, and Trainium, and the complexity of building, testing, and shipping inference software grows with every platform we add. We're looking for a Technical Program Manager to drive the programs that scale it. The work spans four closely coupled areas: Scaling and infrastructure. Routing, autoscaling, and capacity management for the serving fleet, and bringing new capacity online. Velocity. The toolchains, development environments, and CI/CD that let inference engineers build, test, and ship across every accelerator platform. Inference engine. The software between the accelerator kernels and the routing layer that serves every request. Performance. Improving throughput, latency, cost, and reliability across the stack, with correctness treated as part of performance. This is not a status-tracking role. You'll own outcomes end to end, often where no single team is accountable for the whole picture. Much of your value comes from crossing boundaries into Research, Safeguards, Security, Compute, Infrastructure, API, and our cloud and silicon partners, and bringing back the requirements and dependencies that no team sees from inside its own space. There is little process to inherit, and we want to keep it that way: you'll build the minimum machinery the work needs and remove it when it stops helping. And because this is Anthropic, you'll have Claude as a collaborator. We expect TPMs on this team to push hard on what AI-assisted program management and fleet operations can look like. Key responsibilities Own the programs that scale Claude’s serving fleet across accelerator and cloud platforms, from early direction through delivery. Drive new capacity online end to end, working across compute, infrastructure, security, networking, and inference teams so one person is accountable for the whole path. Build visibility into supply, demand, and utilization with capacity and finance partners, and drive trade-offs among utilization, cost, latency, and reliability to a clear decision. Lead reliability programs and large migrations without disrupting production traffic or research, and make sure incident follow-ups land in team roadmaps. Drive the programs that make inference engineers faster: define the productivity metrics that matter, find the bottlenecks, and improve how software is built, tested, and released across platforms, in step with Anthropic’s central Infrastructure org. Coordinate roadmaps and priorities across the production, research, and safeguards needs that depend on the same teams. Track performance and efficiency work from opportunity to measured impact in production, with correctness held as a release criterion. Own inference readiness for model launches alongside our launch TPMs. Minimum qualifications 7+ years of experience as a TPM, or in an equivalent engineering or SRE lead role, owning large multi-team infrastructure programs end to end in production distributed systems, ML infrastructure, or cloud platforms. You can speak to the outcomes in detail, including where a program slipped and what you did about it. Technical fluency in large-scale serving infrastructure, including request routing and load balancing, autoscaling, capacity planning, cluster orchestration, deployment and rollout, and observability. You know enough to challenge a design, find the real risk, and add value beyond tracking. A working understanding of how LLM inference uses hardware (prefill and decode, batching, caching, compute versus memory bandwidth versus interconnect), or a track record of getting deep in an unfamiliar technical domain quickly. A track record of building program mechanisms from scratch on ambiguous, fast-moving efforts, and of retiring process that has stopped earning its keep. The ability to drive outcomes across organizations you don't manage, with competing priorities and unclear decision ownership. You read people and rooms well, know when to push and when to listen, and earn the trust of senior engineers and researchers. Strong written communication, including plans, reviews, and executive updates that many teams depend on. Low ego and high ownership. You do whatever the program needs, whether that is writing a script, running an incident bridge, or chasing a quota, and you care more about the outcome than about scope or credit. Care about Anthropic's mission and about serving frontier AI safely and reliably. Preferred qualifications Direct experience with LLM or ML inference serving at scale, such as model servers, batching and scheduling, KV caching, quantization, speculative decoding, or multi-model routing. Experience with accelerator infrastructure (GPU, TPU, or Trainium), including cluster bring-up, hardware qualification, or running one workload across more than one accelerator platform. Experience managing capacity across multiple clouds or regions, including demand forecasting, headroom policy, cost modeling, or unit economics for compute-heavy services. Experience with developer productivity, release engineering, or CI/CD at scale, especially for hardware-dependent workloads, and with using engineering metrics to measurably raise velocity. Experience running performance or efficiency programs, with enough grounding in rooflines, kernels, ML compilers (XLA, Triton, Neuron), numerics, or collective communication to reason about trade-offs with the engineers doing the work. Familiarity with Kubernetes-based orchestration and job scheduling. Experience working with research teams and turning their needs into infrastructure requirements. Practical experience using AI tools in your own workflow, including building automations or agents, and clear ideas about where they help and where they don't. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $435,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Shanghai, China Riot Games was established in 2006 by entrepreneurial gamers who believe that player-focused game development can result in great games. In 2009, Riot released its debut title League of Legends to critical and player acclaim. As the most played video game in the world, over 100 million play every month. Players form the foundation of our community and it’s for them that we continue to evolve and improve the League of Legends experience. We’re looking for humble but ambitious, razor-sharp professionals who can teach us a thing or two. We promise to return the favor. Like us, you take play seriously; you’re passionate about games. We embrace those who see things differently, aren’t afraid to experiment, and who have a healthy disregard for constraints. That's where you come in. As a Character Artist at Riot, you will bring champions to life by creating and texturing high and low poly models. You will help craft some of the most iconic characters in the world of gaming. Your sculpting skills, artistic eye and keen understanding of anatomy, form, and color will lead the way in character creation. Working within both technical and design constraints, you will use your knowledge of proportions, anatomy and readability to ensure models are optimized in game. Your craft expertise, high-level execution and attention to detail will enrich the player’s immersive experience. As a 3D Character Artist on the Unpublished R&D Product, you will translate character concepts into game-ready assets that meet technical and design requirements. You will contribute throughout the character production process, from concept to final implementation, and collaborate with multiple disciplines and external partners to deliver consistently high-quality character assets. You will create appealing, distinctive, and readable characters that help deliver a high-quality player experience. You will report into the Art Director of the team. Responsibilities: Use your knowledge of stylized character art to create high-quality 3D character models. Interpret and execute character concepts while considering technical and design constraints such as polygon counts, texture memory, and topology. Understand the complete asset creation process, from concept design, modeling, baking, and texturing through successful integration into the game. Review and provide guidance on character content created by external partners, helping maintain stylistic consistency, quality standards, and project budgets. Collaborate with other teams and disciplines to plan and drive the production and delivery of character assets. Help mature character asset pipelines and establish best practices for high-quality and efficient asset creation. Maintain a strong focus on in-game performance, readability, and long-term maintainability while meeting the visual quality bar. Required Qualifications: 5+ years of professional character modeling experience. Experience with stylized rendering or cel-shaded rendering. Experience shipping game content. Professional experience with modeling, sculpting, baking, and texturing tools such as Maya, ZBrush, Substance, and Photoshop. Strong understanding of stylized shape language, with the ability to represent a wide range of character looks through an economy of form and detail. Understanding of technical constraints, performance requirements, and in-game integration workflows for character assets. Strong cross-functional communication and collaboration skills, with the ability to work effectively with Design, Technical Art, Engineering, and external partners. Strong ownership and problem-solving skills, with the ability to move work forward consistently within clear goals and complex constraints. Proficiency in Mandarin Chinese Desired Qualifications: Experience working closely with Technical Art. Experience using Unreal Engine. A broad 3D skill set including polygon modeling, sculpting, basic rigging and animation, painting, and presentation. Experience on games or projects centered on character experiences. Experience managing external partners, reviewing character assets, or collaborating on outsourcing workflows. Familiarity with character asset optimization, material creation, or real-time rendering workflows. Proficiency in English. Application Materials: Please provide a portfolio highlighting high-quality 3D character work, stylized characters, character modeling, sculpting, texturing, and final in-game results. Whenever possible, please clarify your responsibilities, tools, technical constraints, and individual contributions to each project. For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role!

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Container runtimes were designed for general-purpose software workloads. AI inference is not a general-purpose workload. Running large models at production scale exposes cracks in every layer of the container stack: runtimes unaware of GPU memory constraints, images that take minutes to pull when a model needs to scale to thousands of replicas, and isolation mechanisms that weren’t designed for the multi-tenant serving environments that production AI requires. The tools the industry has relied on for a decade weren’t built for this, and patching around those limitations at higher layers only goes so far. Baseten owns the entire pipeline, from the moment a developer pushes a model to the moment a request gets a response. That vertical ownership means we can fix these problems at the root. The Runtime Fabric team is doing exactly that: purpose-building the container runtime and storage layers for AI inference workloads, led by some of the world’s top containerd maintainers. As Engineering Manager for Storage Products on the Runtime Fabric team, you will lead the engineers who build and run the storage products behind that stack: the Baseten Delivery Network (BDN), which sits in the cold start path of every model on the platform, the snapshotters and filesystems that expose model weights and container images to a running container, and the storage that model deployment and training need next. The team is advancing the next generation of caching for inference workloads, from the origin tier to the GPU host. You will own reliability for the area as a measured outcome, report to the head of Runtime Fabric, and stay close to the code through design and code review. If you’ve managed systems engineers and have hands-on experience with caching, content-addressable storage, or distributed filesystems, we’d love to talk. EXAMPLE INITIATIVES - How the Baseten Delivery Network (BDN) makes cold starts fast https://www.baseten.co/blog/how-the-baseten-delivery-network-bdn-makes-cold-starts-fast/ - Extending BDN from model weights to container image layers, training checkpoints, and deployment artifacts - Lazy-loading snapshotters and block-level delivery (EROFS, FUSE, ublk) so a container can start before the full image or model has arrived RESPONSIBILITIES Team Leadership and Culture - Hire and grow a team of 5 to 10 systems engineers with storage, caching, and Linux expertise - Run the team’s planning and delivery: scope work against the Runtime Fabric roadmap, set priorities, and ship on a predictable cadence - Provide regular coaching, feedback, and career development support to your direct reports - Own on-call health for the team’s services, including escalation paths and follow-through on incidents Technical Direction - Guide the architecture and evolution of the Baseten Delivery Network: the tiered caching and weight delivery product that makes cold starts 2-3x faster and eliminates thundering herd failures during burst scaling events - Shape storage products tailored to Baseten’s workloads: extend BDN from model weights to container images, training checkpoints, and deployment artifacts, and define the interfaces that model deployment, training, and customers use to reach them - Oversee the on-host side of delivery: lazy-loading snapshotters, EROFS and overlayfs layouts, and block-level delivery (FUSE, ublk) for multi-gigabyte files - Own reliability of the delivery path as a measured outcome: end-to-end instrumentation from snapshotter initialization to first inference request, targets for cold start and cache behavior, tolerance for failing upstream registries and object stores, and safe rollout of changes to a path every customer depends on - Make the delivery path work across heterogeneous clusters and cloud providers, each with its own object store and network - Review designs and code across the area, and take on hands-on work where it unblocks the team - Champion the team’s contributions back to containerd and the snapshotter ecosystem alongside the maintainers on the Runtime Fabric team Cross-Functional Partnership - Act as the point of contact for storage across Baseten, ensuring model deployment, training, and platform teams have the integration support they need - Optimize requirements for the underlying storage platforms with the infrastructure team: object storage, local NVMe and block storage, and network bandwidth per cluster, so that capacity and provider decisions account for what the delivery path needs - Manage the team’s dependencies in both directions: sequence work that model deployment, training, and infrastructure teams block on, and negotiate interfaces and timelines with the teams and upstream projects the storage path depends on - Work with the head of Runtime Fabric and product stakeholders to prioritize storage investments based on customer impact and infrastructure reliability - Communicate team progress, technical trade-offs, and incidents clearly to the team and to leadership REQUIREMENTS - Experience managing a team of engineers in a systems, infrastructure, or storage context, including hiring and performance management - Hands-on background in distributed storage systems, content-addressable storage, or large-scale caching infrastructure - Strong systems programming background in Go, Rust, and/or C/C++, with the ability to engage credibly in code reviews and architectural discussions - Working knowledge of the Linux storage stack: filesystems, the page cache, block devices, and mounts - Understanding of how container images are structured, stored, and delivered at scale - Strong written and verbal communication skills, with the ability to influence without authority across teams NICE TO HAVE - Contributions to containerd/containerd, snapshotter projects (stargz, soci, nydus, overlaybd), distribution/distribution, or closely related open-source projects - Familiarity with lazy-loading snapshotters or peer-to-peer image distribution - Experience with EROFS, FUSE, ublk, or io_uring - Experience building or operating CDN, object storage, or large-scale caching infrastructure - Experience running storage services on Kubernetes BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Larnaca, Cyprus We are looking for an experienced Senior iOS Developer to join our project team. This is an onsite role, and we're seeking someone who will work directly from the client's office in Nicosia. Relocation conditions: A 2,000-euro relocation bonus (3,000 euros if relocating with family). Design and build applications for the iOS platform Ensure the performance, quality, and responsiveness of applications Collaborate with a team to define, design, and ship new features Identify and correct bottlenecks and fix bugs Help maintain code quality, organization, and automatization Code review and test build delivery 5+ years of experience in iOS app development Advanced proficiency in Swift and Objective-C Extensive experience with iOS frameworks (UIKit, Core Data, Core Animation, etc.) Deep understanding of RESTful APIs and mobile libraries for networking Strong knowledge of Apple’s design principles and interface guidelines Proficiency with version control systems (e.g., Git) Expertise in memory management and multi-threading Experience with push notifications, APIs, and cloud messaging Proven track record of developing and maintaining complex iOS applications Knowledge of iOS development best practices and patterns Strong problem-solving and analytical skills Strong collaboration skills and ability to work cross-functionally Good spoken English

Location: Paris 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. ABOUT THE ROLE As a Research Engineer, GPU performance, you will sit at the heart of that spectrum: your low-level work directly determines how fast our frontier models can be trained and served. Working hand-in-hand with Research Scientists, you'll make every GPU count. Mistral AI is hiring an expert in pushing large language model's GPU utilization and performance to their limits.. In this role, you will own the performance of our models end-to-end: writing the low-level code that extracts the maximum capacity from high-end hardware, and rethinking model architectures so they run efficiently at scale. WHAT YOU WILL DO - Develop low-level code that takes full advantage of high-end GPUs and maxes out their capacity — from custom kernels to memory-layout and communication optimisations. - Rethink parts of the generative model architecture to make them more suitable for efficient inference, in collaboration with Research Scientists. - Integrate low-level efficient code into a high-level MLOps framework, so that optimisations benefit every training run and deployment rather than a single experiment. - Profile, benchmark and squeeze performance out of large-scale training and inference on thousands of GPUs. - Model LLM execution on various GPUs with high fidelity to assess hardware usage and build serving performance estimates. WHAT WE'RE LOOKING FOR - High technical competence for writing custom low-level kernels and pushing GPUs to their limits. - High expertise in the distributed computation infrastructure of current-generation GPU clusters. - Overall understanding of the field of generative AI; knowledge of, or interest in, fine-tuning and using language models for applications. - Strong software-design instincts: testing, code review, CI/CD. - Self-starter, low-ego, collaborative. 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: India Position Overview Our customers are at the forefront of some of the most interesting data in the world, using SingleStore to push the boundaries every day. To do this well, they leverage the expertise of our Support Engineering Team, composed of technical subject matter experts on the frontline of critical customer issues. This Support Engineering role skews far more towards engineering than typical technical support as you will need to delve into database internals and memory allocators, investigate Linux and host-related configurations, and diagnose SQL query behaviour, all in the name of resolving complex database issues. Our Support Engineers are constantly learning a wide range of customer systems and technical concepts and are thrilled by the new and exciting challenges that they encounter on a regular basis. To accurately identify the source and solution of an issue, this team will take the time to learn about the customer’s business and systems while helping to improve their fundamental SingleStore and database operational knowledge. This often requires additional research and time spent on learning new technologies and tools outside of SingleStore while also being deeply engaged with multiple departments including development teams, query performance engineering, product management, infrastructure SREs, etc. Required Hours The hours required are from 11:30 AM IST - 8:30 PM IST (9 hours) for 5 days Participate in our on-call rotation that may include weekends and holidays. Role and Responsibilities Provide email and live technical support to our enterprise customers, acting as the first line of defense for complex technical issues, bug diagnosis, or resolving critical outages. Identify and reproduce product issues, perform QA, and submit formal bug reports or feature requests to the appropriate Engineering team. Collaborate closely with software developers, sales engineers, and technical account managers to keep all teams up to date with current issues a customer may be facing. Work to streamline and improve various Support and Engineering processes and tools, author new internal run-books or public documentation, and help the team continually improve efficiency and effectiveness. Ensure customers have a positive support experience during every interaction. Required Skills and Experience 4+ years of advanced customer-facing technical support experience. Experience with MySQL or MySQL-like (MariaDB, Aurora, etc) database and SQL Query Optimization. A solid Kubernetes and sysadmin skill set. Also, comfortable testing software and finding its limits, hands-on with Linux, checking utilization of system I/O, measuring network throughput, and are comfortable navigating large log files. Experience with a scripting or coding language. Whether it’s Python, Bash, or Go, you should have a go-to solution for quick and dirty problem-solving and be able to navigate through our code base. Familiarity with distributed systems and AWS/GCP. You understand how organizations deploy and maintain distributed applications and services across multiple machines Bonus points for knowing how to analyze them for performance bottlenecks and remove single points of failure. Strong written and verbal English communication skills. Have the ability to explain technical concepts to a wide range of end-users. SingleStore delivers the cloud-native database with the speed and scale to power the world’s data-intensive applications. With a distributed SQL database that introduces simplicity to your data architecture by unifying transactions and analytics, SingleStore empowers digital leaders to deliver exceptional, real-time data experiences to their customers. SingleStore is venture-backed and headquartered in San Francisco with offices in Sunnyvale, Raleigh, Seattle, Boston, London, Lisbon, Bangalore, Dublin and Kyiv. Consistent with our commitment to diversity & inclusion, we value individuals with the ability to work on diverse teams and with a diverse range of people. To all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company. SingleStore values individuals for their unique skills and experiences, and we’re proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package. Certain roles are also eligible for additional rewards, including merit increases and annual bonuses. For candidates residing in California, please see our California Recruitment Privacy Notice . For candidates residing in the EEA, UK, and Switzerland, please see our EEA, UK, and Swiss Recruitment Privacy Notice. COG00073