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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 fleet serves Claude to millions of users across our own products and the world's largest cloud platforms. The stack that makes this possible is deep and tightly coupled: accelerator kernels, model servers, distributed routing, autoscaling, capacity management. Every layer affects the others, often in ways that are hard to see in isolation. The Inference System Dynamics team is responsible for understanding that whole system and holding it to a high bar across four dimensions: throughput, latency, reliability, and correctness . We measure how the fleet performs against its theoretical performance frontier, run cross-layer investigations to explain the gaps, and own the correctness checks that make sure Claude's outputs are right, not just fast, across hardware platforms and serving configurations. We don't own the individual components. We instrument and model them, find the highest-leverage opportunities across them, and partner with the owning teams to land the wins. You'll work across all four areas. One week that might mean tracing a tail-latency regression from request timing down through routing and batching into a kernel overhead; the next it might mean tightening a correctness eval so it catches an output regression introduced by a quantization change. We're looking for performance engineers who treat correctness as part of performance. Key Responsibilities Run cross-layer performance investigations across throughput, latency, and reliability, sizing the gap between actual fleet performance and theoretical rooflines, identifying root causes, and quantifying the value of closing them Own and improve the correctness evaluation pipeline that validates model output quality across hardware platforms, numerics, and serving configurations, and lead the investigation when it catches a regression Build the observability, dashboards, and modeling tools that make throughput, latency, cost, reliability, correctness, and their interactions legible across the stack Partner with kernel, serving, routing, autoscaling, and capacity teams to prioritize and land the highest-impact optimizations your analysis surfaces Ruthlessly stack-rank a large surface area of opportunities by impact and effort, and say no to the ones that don't make the cut Minimum Qualifications Hands-on performance engineering experience: profiling, roofline analysis, latency/throughput optimization, and root-cause investigation in complex production systems Proficiency in Python, with the ability to read, instrument, and contribute to large production codebases you didn’t write Solid data analysis skills (e.g. SQL, pandas, or similar) sufficient to turn raw telemetry into clear findings Ability to communicate quantitative results clearly in writing to influence priorities on teams you don't manage Genuine interest in correctness as an engineering discipline: numerics, evaluation design, regression detection Preferred Qualifications Experience with ML systems, especially training or inference infrastructure or general LLM serving stacks. Direct large-scale inference experience is a strong plus Familiarity with GPU/TPU/accelerator performance concepts (memory bandwidth, kernel overheads, quantization, collective communication). Reasoning about these matters more than having written kernels yourself Experience with reliability engineering for high-throughput services: autoscaling, load balancing, request routing, tail latency Experience with model evaluation or numerical regression-detection pipelines Experience building observability or telemetry for distributed systems Comfortable having impact through influence and evidence rather than direct ownership Representative Projects Trace a 350ms latency gap on a new accelerator platform from end-to-end request timing down to a server scheduling overhead, quantify the win, and land the fix directly or with the owning team Redesign the correctness eval gate: determine which signals reliably catch real model-output regressions versus noise, and make it the trusted release criterion across hardware backends Build a FLOPs funnel that breaks down where compute actually goes across the fleet, exposing the gap between achieved throughput and kernel rooflines Root-cause a numerical divergence between two hardware platforms to a specific kernel change, and define the acceptance threshold going forward Model the latency–cost impact of changing batch-sizing and utilization targets, and turn the result into the signal the autoscaler uses in production Deadline to apply: None. Applications will be reviewed on a rolling basis. 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: $350,000 — $850,000 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: IL / MN / MI Forward was founded in 2013 by four Stanford Ph.D.s, building the industry's first network digital twin: a mathematically accurate model of the production network. It's the foundation for autonomous networking, giving engineers and AI agents the ability to know the impact of every change before it touches production. That founding instinct still defines how we work. We're accurate and evidence-driven, relentless about clarity, and we'd rather be certain than comfortable, building a groundbreaking platform that transforms how teams run and secure networks across every major cloud and vendor environment. Global leaders like Goldman Sachs, PayPal, S&P Global, IBM, and Dell trust Forward, alongside fast-growing enterprises and government agencies, realizing an average of $14.2 million in annual benefits, according to IDC. Backed by top-tier investors, including A. Capital, Andreessen Horowitz, Goldman Sachs, MSD Partners, Omega Venture Partners, Section 32, and Threshold Ventures, and headquartered in Santa Clara, we're most proud of our team: curious people who'd rather build what doesn't exist than accept how things have always been done. Forward is looking for a Systems (Sales) Engineer Do you want to help sell a platform that solves real networking problems? Join a company that has been in the market 6+ years and has some of the top Federal agencies and F500/Global 2000 already buying and referenceable. If you have 5-10 years of wildly successful experience as a Systems Engineer selling to large enterprise accounts...you may be the one! We are building a special team and hope you consider us if you want to have the experience of changing the networking world as we know it. Responsibilities: Serve as the primary technical resource for the sales organization working with large enterprise accounts. Work with the sales team as the product advocate and key technical adviser Drive and manage the technology evaluation stage of the sales process; answer technical questions and communicate business and technical value to all levels of management Establish and maintain strong relationships throughout the sales cycle to ensure complete customer satisfaction Establish technical feasibility and perform qualification of the potential technical deployment Develop and deliver product demos and POCs Respond to functional and technical elements of RFIs/RFPs Work with internal product management and engineering teams to convey customer requirements Represent the product to customers, partners and at field events such as conferences, seminars, etc. Required Qualifications: Strong understanding of networking and security solutions and vendors Strong verbal and written communications skills with a focus on needs analysis, positioning, business justification, and closing techniques. 5+ years’ experience selling to Enterprise customers for a networking company or relevant software vendor. 2 Years experience with some scripting or programming language; understanding of program flow, conditionals, basic logic handling. Superior presentation skills Highly Desired: Working knowledge of API driven workflows and scripting languages (Python, bash, jq, graphql, etc) Experience working with a startup company B.S. Computer Science or equivalent educational experience One or more of the following certificates: CCIE, JNCIE or VCDX The expected On-Target Cash Earning for this role is between $240,000 - $275,000 per year. Within this range, individual pay is determined by several factors including but not limited to, job-related skills, work experience, and relevant education/training

Location: Stockholm ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re looking for an Engineering Manager to lead a group of highly experienced engineers. This is a hands-on leadership role where you’ll spend roughly half your time on technical contribution and half on people management, depending on the need. You’ll work closely with the team to set direction, remove blockers, and foster a strong engineering culture as they tackle complex systems challenges in distributed computing, large-scale data handling, and performance optimization. YOU MAY BE A FIT IF: - You have at least 10 years of industry experience, including 3 years in a leadership role - You’ve built high-performance distributed systems at a large scale - You have a strong background in cloud infrastructure - You have strong knowledge of low-level operating system foundations (Linux kernel, file systems, containers, etc.) - You’re proficient in systems-level languages such as Rust, C, C++, or Java - You’re an experienced engineering leader who thrives close to the work and enjoys building alongside your team when needed - You earn trust through technical depth, communicate with clarity, and help great engineers move fast and make sound decisions - You thrive in a fast-paced environment and are pragmatic, calm under pressure, and focused on impact

Location: Guangzhou, China 作为一名系统策划，您需要以玩家为中心，完善系统框架，设计富有策略深度的玩法，持续优化成长体验与动力体系，为产品生命周期注入源源不绝的新鲜感。您将与团队高效协作，推动高质量交付并持续提升团队创新能力。 我们是谁 我们以玩家体验为根本，不断追求设计创新。这里是你释放创新想法、赋能核心系统、改变传统玩法生态的大舞台。如果你渴望挑战、热爱运营和创新，期待你加入我们并共创未来！ 您的影响 推动系统创新与落地 将创意转化为高落地性的系统方案，主导原型验证与功能优化，不断提升成长体系与城池玩法的策略深度。 跨团队协作推动优质交付 联合美术、程序、数值、UI等多团队，保障系统设计与开发同步迭代、品质稳定，并持续聚焦用户体验提升。 数据驱动与行业洞察 关注市场标杆产品及行业趋势，结合数据分析和玩家反馈持续优化系统内容与成长曲线，提升竞争力与可玩性。 岗位职责 联合数值策划完成系统数值结构、资源分配及发展节奏的详细设定，实现公平性与可玩性平衡。 跟踪竞品并提炼差异化优势，提出玩法创新点，高效转换为可执行的功能方案，推动快速迭代与落地。 配合研发、美术等协作团队，确保方案落地还原度和功能流畅，持续推动体验打磨和流程优化。 收集数据、分析玩家反馈，系统性评估和优化设计内容，推动城池发展和核心系统可持续进化。 任职要求 本科及以上学历，2年以上系统策划相关经验，参与过上线产品的核心系统设计与迭代优先。 拥有扎实的玩法设计、系统梳理、文档输出与流程拆解能力，能独立承担重点模块并协作推进复盘。 关心用户长期体验，对成长驱动力和多元可玩性有深入洞察，善于结合数据分析优化系统内容。 具备出色的沟通与团队协作能力，积极推动方案高效落地。 加分项 有国际化项目、海外用户洞察或多文化团队协作能力。 能撰写或阅读英文系统策划文档。 我们的福利 我们倡导健康平衡的工作与生活，提供有竞争力的带薪休假、灵活办公方式及多元保险福利。团队关注多元与包容性氛围，鼓励创新协作，让每一位成员都能获得成长和成就。与我们一起，见证并驱动一款创新大作的诞生吧！ 用工性质：与专业人事服务公司FESCO Adecco签订劳动合同

Location: Hybrid/Remote - Europe (incl. UK); Estonia (remote); Switzerland (remote); France (remote); Norway (remote); Sweden (remote); Scotland (remote); Czechia (remote); Spain (remote); Romania (remote); Netherlands (hybrid); Taiwan (remote); Austria (remote); Denmark (remote); Ireland (remote); EU (remote); Belgium (remote); UK (remote); Finland (remote); Germany (remote); Eindhoven (hybrid); Portugal (remote); United States (remote); Italy (remote) Workplace: Remote About Us Axelera AI https://www.axelera.ai is not your regular deep-tech company. We are creating the next-generation AI platform to support anyone who wants to help advancing humanity and improve the world around us. In just five years, we have raised a total of $450 million and have built a world-class team of 250+ employees (including 60+ PhDs with more than 40,000 citations), both remotely from 20 different countries and with offices in Belgium, France, Switzerland, Italy, the UK, headquartered at the High Tech Campus in Eindhoven, Netherlands. We have also launched our Metis™ AI Platform, which achieves a 3-5x increase in efficiency and performance, and have visibility into a strong business pipeline exceeding $100 million. Our unwavering commitment to innovation has firmly established us as a global industry pioneer. Are you up for the challenge? Position Overview We are looking for an entrepreneurial, technically exceptional engineering leader to establish and run Axelera’s AI Infrastructure Systems division within the AI Integrated Systems (AIS) group. This is a new function, created to realize and deliver our next-generation accelerator silicon into datacenter-class form factors from PCIe accelerator cards and OAM-class modules to full 1U/2U rack systems and dense compute nodes targeting enterprise AI, sovereign cloud and HPC customers. You will build the team, shape the technical roadmap, and own end-to-end delivery of board- and system-level products for two strategic programmes. You will partner closely with the engineering leadership of the Embedded AI product line within AIS, System and Platform Architecture within R&D, the silicon organisation, the Voyager SDK/software group, and Axelera’s go-to-market teams serving hyperscalers, sovereign AI initiatives and the European HPC ecosystem. This role is deeply hands-on, owning implementation, validation, and delivery of platform systems. You will review schematics and layouts, challenge power and thermal budgets, shape the BMC and platform-firmware stack, and walk the lab floor during bring-up. Strategic leadership without technical depth will not work here. Key responsibilities: - Build the Infrastructure Systems engineering team from the ground up: hire, structure and mentor a multidisciplinary organisation covering hardware architecture, PCB design, power/thermal/mechanical engineering, firmware and platform validation with in-house and 3rd-party resources - Define the technical roadmap for the division’s board- and system-level server products—PCIe Gen6/CXL accelerator cards, OAM modules and UBB baseboards, and full 1U/2U rack systems, evolving toward rack-scale solutions including networking fabric and storage architecture—aligned with the next-generation system and silicon roadmap. - Serve as the technical authority across system implementation, including schematics, PCB stack-ups, high-speed signaling (PCIe Gen5/6, CXL, high-speed SerDes), enterprise memory, power delivery and VRM design, SI/PI methodology, and mechanical/thermal integration. - Own end-to-end execution from concept through design reviews, bring-up, validation, reliability qualification, DFM/DFT/DFR and mass-production readiness, including NPI and ramp with tier-1 CMs and ODMs. Make the build-vs-partner call on each program leading designs in-house where it differentiates, and co-designing with ODM partners where time-to-market or scale demands it. - Drive datacenter-grade platform engineering: BMC-based management, Redfish/IPMI, UEFI/BIOS firmware, secure boot and root-of-trust, platform firmware resilience, enterprise RAS features, and out-of-band telemetry. - Lead the thermal and mechanical strategy for high-power accelerator platforms, including air-cooled rack designs and, where appropriate, direct liquid cooling (DLC) and immersion-ready variants. - Partner with the Embedded AI engineering leadership within AIS to align board and system-level execution across the two product lines, sharing reference designs, validation assets and CM/ODM relationships wherever it accelerates both streams. - Collaborate with Platform Architecture, product management, silicon, SDK and software teams to refine and realize platform requirements (e.g. memory topology, interconnect, power states, telemetry) so that the server products showcase the accelerator’s capabilities at rack and cluster scale. - Engage directly with strategic customers, system integrators and ecosystem partners (hyperscalers, sovereign cloud operators, HPC centres, OEMs/ODMs) to shape requirements and win design-ins. - Define and enforce engineering processes, documentation standards, validation methodologies and quality gates for the new division, mapped to Axelera’s NPD framework. - Identify and mitigate technical risks, resolve engineering escalations, and drive debugging and root-cause analysis during development, qualification and early production. - Own the division’s engineering budget, CAPEX, external engineering spend and vendor relationships. Qualifications: - 15+ years in hardware engineering for complex electronics products, with at least 5 years in senior leadership roles running multidisciplinary teams. - Proven track record of shipping datacenter- or server-class compute hardware into volume production: accelerator cards, OAM modules, UBB baseboards, GPU/xPU-class server platforms, compute nodes or rack-level systems. - Deep expertise in high-speed interfaces (PCIe Gen4/5/6, CXL, high-speed SerDes), server memory, high-current power delivery and VRM design, and high-density PCB layout with rigorous SI/PI methodology. - Experience with BMC-based platform management, Redfish/IPMI, UEFI/BIOS or equivalent firmware stacks, secure boot/root-of-trust, and enterprise RAS features. - Working knowledge of datacenter thermal and mechanical design: air-cooled 1U/2U chassis, direct liquid cooling and/or immersion-ready platforms, and rack power delivery at 12V, 48V and OCP power-shelf level. - Familiarity with datacenter and AI infrastructure compliance and with PCIe and OCP standards. - Experience working with tier-1 CMs/ODMs on server-class products, including DFM, MP transfer, yield ramp and sustaining engineering. - Hands-on ability to review schematics, layouts, simulation results and lab validation data and to make the call when the team is stuck. - Strong strategic thinker, excellent communicator, skilled at decision-making in fast-moving environments, comfortable engaging at C-level with customers and partners. Preference: - Experience building or significantly scaling an engineering team is strongly preferred. - Experience with AI accelerator platforms, GPUs or custom silicon in a datacenter context is a strong plus. - Exposure to sovereign AI, EuroHPC, HPC or European defence/dual-use datacenter programmes is a plus . - Fluent English required; additional European language is a plus. Location We offer a flexible working arrangement, with options to:  - Work from one of our Axelera AI offices (Florence and Milan in Italy, Amsterdam and Eindhoven in the Netherlands, Leuven in Belgium, Paris in France, Zurich in Switzerland, or Bristol in the United Kingdom) if you're already based in the vicinity.  - Work fully remotely from the US or any European country (incl. the UK) you are already in.  - Relocate with us and work from Amsterdam or Eindhoven in the Netherlands, or Bologna, Florence or Milan in Italy. What we offer  This is your chance to shape and be part of a dynamic, fast-growing, international organisation. We offer an attractive compensation package, including a pension plan, extensive employee insurances and the option to get company shares.    An open culture that supports creativity and continual innovation is awaiting you. Collaborative ownership and freedom with responsibility is characteristic for the way we act and work as a team.  At Axelera AI, we wholeheartedly embrace equal opportunity and hold diversity in the highest regard. Our steadfast commitment is to cultivate a warm and inclusive environment that empowers and celebrates every member of our team. We welcome applicants from all backgrounds to join us in shaping the future of AI. Axelera AI may at times work with external parties (such as recruiters, headhunters, or executive search firms) to support both publicly posted and confidential searches. Our hiring process never involves any payment from candidates, and we will never require you to use a particular paid service to be considered for a role. If you have been approached by someone on our behalf and want to confirm it’s legitimate, please contact us directly at careers@axelera.ai.

Задачи: — Проектирование и реализация микросервисов с нуля. — Решение задач конкурентного доступа (race conditions, балансы, одновременные покупки). — Глубокая оптимизация PostgreSQL, работа со сложными запросами и уровнями изоляции. — Написание тестов всех уровней (Unit, Integration с Test containers, E2E). — Использование AI-ассистентов для ускорения рутины и критическая оценка их кода. Требования: — 5+ лет в бэкенде. — Глубокое понимание Event Loop, libuv, потоков и профилирования памяти. — Реальный опыт с NestJS (DI, Guards, Interceptors, Pipes, микросервисные транспорты). — Практическое понимание уровней изоляции транзакций в PostgreSQL. — Опыт работы с AI-инструментами Cursor, Copilot, Claude или ChatGPT. Будет плюсом: — Опыт в сферах Gaming, E-commerce, HFT или Fintech. — Работа с платежными сервисами и банковскими системами. Условия: — Стабильная оплата в USDT с привязкой к твердой валюте. — Долгосрочный и устойчивый проект с прозрачными целями. — Полностью удалённая работа из любой точки в часовом поясе GMT+3. — Минимум бюрократии, максимум инженерных вызовов и современных инструментов.

Location: Paphos, Cyprus About Us: INEX Group is a real estate development and construction group delivering residential and commercial projects across Cyprus. We manage the full project lifecycle — from design and development to construction and delivery. About the Role: We are looking for a Low-Voltage Systems Installers to join our team in Paphos. The role involves installation and connection of AC, CCTV, access control, and other low-voltage systems across residential and commercial projects. Responsibilities: Installation of low-voltage systems (CCTV, access control, etc) Cable routing and cable management Installation and connection of equipment and devices Troubleshooting and basic system testing Compliance with safety and technical standards Following technical drawings and installation documentation Requirements: Experience in low-voltage systems installation Basic understanding of CCTV, networking, access control or alarm systems Ability to work with hand and power tools Ability to understand technical documentation and project design Driving license English: basic communication level Russian: as an advantage We offer: Сompetitive salary Cozy modern office in Paphos Professional international team Opportunity for growth and development 21 days paid vacation per year 40 working hours paid sick leave per year Public holiday in accordance with the Cyprus Public Holiday list Interested candidates are requested to send their CV quoting the above job title to the following email address: hr_cyprus@inex-group.com . All applications will be treated in strict confidence and in compliance with GDPR and our privacy policy.

Задачи: — Эксплуатация и развитие инфраструктуры UEM-платформы SafeMobile — Поддержка крупных инсталляций у заказчиков — Документирование типовых сценариев развёртывания и настройки — Интеграция с инфраструктурой заказчиков: AD/LDAP, SIEM, ServiceDesk, PKI — Формирование требований к продукту на основе опыта эксплуатации Требования: — Опыт эксплуатации MDM/UEM на парке от 1000 устройств — Практический опыт хотя бы с одной из платформ: VMware Workspace ONE / AirWatch, Microsoft Intune, SOTI MobiControl, Samsung Knox Manage, Ivanti / MobileIron, Headwind MDM, BlackBerry UEM или аналоги — Понимание Android Enterprise: Work Profile, Fully Managed, Dedicated Device, COPE — Понимание iOS-управления: Supervised, DEP / ABM — Уверенный Linux — Навыки написания скриптов на Bash и Python — Понимание принципов работы сетей, VPN и PKI Будет плюсом: — Опыт миграции между MDM-платформами — Опыт работы в отраслях с массовыми парками: ритейл, логистика, курьерские службы, нефтегаз, банки, здравоохранение, транспорт — Знакомство с Samsung Knox, Zebra MX, Honeywell, Urovo и другими корпоративными вендорами устройств — Опыт работы с устройствами на AOSP Условия: — Удалённый или гибридный формат — Трудоустройство в аккредитованную ИТ-компанию — Команда из 50+ инженеров, без лишней бюрократии — Прямое влияние на развитие продукта: ваш опыт ложится в платформу

Location: Santa Clara, CA Forward was founded in 2013 by four Stanford Ph.D.s, building the industry's first network digital twin: a mathematically accurate model of the production network. It's the foundation for autonomous networking, giving engineers and AI agents the ability to know the impact of every change before it touches production. That founding instinct still defines how we work. We're accurate and evidence-driven, relentless about clarity, and we'd rather be certain than comfortable, building a groundbreaking platform that transforms how teams run and secure networks across every major cloud and vendor environment. Global leaders like Goldman Sachs, PayPal, S&P Global, IBM, and Dell trust Forward, alongside fast-growing enterprises and government agencies, realizing an average of $14.2 million in annual benefits, according to IDC. Backed by top-tier investors, including A. Capital, Andreessen Horowitz, Goldman Sachs, MSD Partners, Omega Venture Partners, Section 32, and Threshold Ventures, and headquartered in Santa Clara, we're most proud of our team: curious people who'd rather build what doesn't exist than accept how things have always been done. Forward Networks is looking for a Systems Sales Engineer Manager Do you want to create a category and help build a special company? Join a company that has been in market 7+ years and has some of the top Federal agencies and F500/Global 2000 already buying and referenceable. We are building a special team and hope you consider us if you want to have the experience of changing the networking world as we know it. We're seeking an experienced Systems Sales Engineering Manager who will lead a team of Systems Sales Engineers while also serving as a hands-on technical expert. This is a hybrid role requiring both strong leadership capabilities and the technical depth to actively engage with customers as a practitioner—qualifying opportunities, providing technical leadership on key deals, and executing POCs directly. What You'll Do Management & Team Leadership: Lead and manage a high-performing team of Systems Sales Engineers to achieve revenue and new business growth targets Develop and execute team strategies to drive revenue growth, expand market share, and build strong customer relationships Recruit, train, and mentor Systems Sales Engineers, providing ongoing coaching, feedback, and career development Manage team performance through data and analytics, setting clear goals and holding the team accountable to results Foster a collaborative environment where the team can thrive and continuously improve Technical Practitioner & Sales Leadership: Actively engage as a technical authority on regional opportunities Qualify and scope opportunities directly alongside sales teams to assess fit and ensure technical feasibility Lead and execute POCs (Proof of Concepts) for key prospects, demonstrating deep technical expertise Serve as the technical lead on major pursuits, providing hands-on guidance and execution Provide technical guidance to the sales team, ensuring they have the knowledge, frameworks, and tools to succeed Develop and deliver compelling technical presentations and product demonstrations to prospective clients Cross-Functional Collaboration: Partner with Product Management, Marketing, and Engineering to align sales strategies with company goals and product roadmap Gather customer insights from direct opportunity engagement to inform product decisions Stay current with industry trends, competitive landscapes, and technical best practices Provide recommendations for continuous improvement based on real-world customer interactions Requirements: 7+ years of experience in software sales engineering, with a proven track record of success in driving revenue growth 3+ years of experience in a leadership role, managing a team of sales professionals Excellent communication and presentation skills, with the ability to effectively convey technical concepts to both technical and non-technical audiences Strong analytical and problem-solving skills, with the ability to use data to drive decision-making Experience working in a fast-paced, agile environment, with the ability to adapt to changing priorities and requirements Strong leadership and people management skills, with the ability to motivate and inspire a team to achieve their goals Proven ability to develop and execute successful sales strategies, build strong customer relationships, and drive revenue growth Experience Excellent understanding of Networking, Cloud and/or Security fundamentals. Understanding of networking protocols, and other operational tools and practices. Experience supporting multiple large enterprises, service providers or Governmental agencies. Strong verbal and written communications skills Experience as a leader running sales engineering organization Experience using data and metrics to drive improvements. Experience owning program strategy and communicating results to senior Leadership. Highly Desired Vendor certification (CCNP,CCIE,JNCIA,JNCIE,JNCIS,AWS CSA Associate etc.) The expected On-Target Cash Earnings for this role is between 275,000- 325,000 per year. Within this range, individual pay is determined by several factors including but not limited to, job-related skills, work experience, and relevant education/training

Location: Europe; Ukraine We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. Currently, we are looking for a Senior Software Engineer (Systems & Algorithms) for Spinlab. Location: Remote Job Type: Full-Time About our client: We help slot gaming leaders unlock the potential of their data, enhancing business outcomes and strengthening their competitive edge in the market. We collect and process data using advanced methods and technologies to provide our clients with clear, actionable recommendations based on real metrics. SpinLab's goal is not just to collect data but to transform it into meaningful business insights that improve efficiency and help products grow. Product Overview: A B2B web analytics and user-identification platform for browsers and webviews: - Fingerprint: browser-based user identification for browsers and webviews. A JavaScript SDK collects device signals (Canvas, GPU, screen, timezone, language, network) and assigns each visitor its own identifier. - Real-time analytics: high-RPS event collection and processing, with ClickHouse-based reporting for customers. This role works mainly on Fingerprint and the event pipeline behind it. Who we're looking for: An experienced engineer who enjoys writing non-trivial code by hand, with a background in areas like systems programming, distributed systems, embedded systems, telecom and VoIP, desktop software, trading systems, video and audio processing, databases or developer tools. Strong fundamentals matter more to us than knowing specific frameworks. The product runs on TypeScript / Node.js, and we welcome engineers with a background in other languages who are ready to switch. Requirements: - 10+ years of software engineering, and you still write code yourself every day. - Solid experience with a compiled or systems language (such as C++, Rust, Go, Java, or C#), on projects beyond typical CRUD - Projects where you designed and wrote low-level or algorithmically complex logic yourself: a network protocol, an engine, a codec, a storage layer - Comfortable implementing data structures and algorithms by hand, without relying on libraries or AI assistants. - Ready to work primarily in TypeScript / Node.js. - Working English. Nice to have: - Production TypeScript / Node.js and NestJS, strict-mode TypeScript. - Clustered ClickHouse, Kafka as a producer, Redis beyond GET/SET (pipelines, Lua, distributed locks). - Distributed systems under load: idempotence, retries, caching. - Browser internals: Canvas, WebGL, AudioContext, cross-origin iframes, storage partitioning. Shipping a third-party SDK under tight size and privacy constraints. - Docker, Helm templates, GitHub Actions. - Conventional Commits, a strong review and documentation culture. Stack: TypeScript, Node.js, NestJS · ClickHouse, Kafka, Redis · Web Components SDK · AWS (EKS), Helm, ArgoCD, GitHub Actions · Datadog. Scope of ownership: - Backend: high-RPS collection and identification endpoints, a Redis-backed key-value store, Kafka producers, ClickHouse migrations - Browser SDK: evolving signals and fighting regressions on Safari and iOS. - Operations: observability (APM, RED signals, SLO alerts), GitOps delivery via Helm and ArgoCD. - A "whole feature" mindset — willingness to own delivery end-to-end, including the UI, rather than handing it off Benefits: - Work on meaningful data products and shape them with your vision. - 25 vacation days + 15 sick days + 1 birthday leave. - Budget for English classes. - Budget for health insurance. - Annual education & development budget. - Remote-friendly culture with a small, dedicated team. What’s next? If this role sounds like a fit — we’d love to hear from you! Just send over your CV and anything else you’d like us to consider. We’ll review everything within five working days, and if your background matches what we’re looking for, we’ll get in touch to set up a call and get to know each other better.

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are looking for an engineer who can walk into messy, cross-functional workflows and turn them into clean, automated systems that scale. This role focuses on identifying high-friction operational processes across the company and replacing them with durable, API-driven automation. You will work across IT, Security, Engineering, and Business teams to reduce manual work, improve reliability, and build systems that scale with the company. This is not a ticket-driven IT role. You will operate with a high degree of ownership, driving initiatives end-to-end from problem discovery through implementation and rollout. You will be part of the Business Technology - Corporate Engineering team and report to the Director of Business Technology. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Identify and automate high-impact operational workflows across onboarding, offboarding, access management, and service delivery Replace manual, fragmented processes with scalable, API-driven systems Build and maintain integrations across HRIS, identity providers, SaaS platforms, and cloud environments Develop internal tools and automation using platforms like Retool, Okta Workflows, and custom scripts or services Apply infrastructure-as-code to manage and version system configurations Incorporate AI into workflows to improve efficiency in areas like ticket routing, knowledge retrieval, and decision support Design and automate access and security workflows that enforce least-privilege and auditability Own and drive cross-functional initiatives end-to-end, from problem definition through implementation and rollout The ideal candidate has: 4–7+ years of experience in IT, platform engineering, automation, or similar roles Strong scripting or programming ability in Python, Go, Node.js, PowerShell, or similar Experience building API-driven automation across multiple systems Ability to design and implement workflows that span multiple tools and teams Experience with infrastructure-as-code such as Terraform or similar A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback What will make you stand out: Hands-on experience with identity and access systems (Okta, SSO, SCIM, RBAC), including implementation and ongoing management Proven ability to build and scale internal tools using platforms like Retool or other low-/no-code solutions Familiarity with security automation and orchestration (e.g., Tines), with an eye toward reducing manual effort and risk Practical experience leveraging AI/LLMs to streamline and enhance operational workflows Strong understanding of compliance and security standards (HIPAA, SOC 2, HITRUST) and how they shape systems and processes Focused on driving meaningful outcomes Able to identify root-cause, system-level issues and design durable solutions rather than quick fixes Comfortable navigating cross-functional environments with competing priorities and constraints Operates with urgency while building scalable, maintainable solutions Defaults to automation and efficiency wherever possible What you’ll get here You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Technologies we use: Okta, Okta Workflows, Retool, FreshService (ITSM), Google Workspace, Slack, Atlassian (Confluence and Jira), MDM platforms (Jamf Pro, Kandji/Iru, Intune), Airtable, AWS and GCP, Terraform, Rippling (HRIS), SOAR (Tines), and AI-enabled operational tooling (Claude, Gemini, OpenAI) This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation Transparency: The target salary range for this position is $189,000 - $220,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: Philippines; South Africa; Mexico; Colombia; Argentina; Honduras About Huzzle At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and AI. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor About the Company Our client is a fast-growing automation-focused company helping small and medium-sized businesses streamline operations using cutting-edge AI solutions. They specialize in deploying practical, results-driven automation systems powered by LLMs and workflow tools, while also building scalable internal infrastructure for long-term efficiency. Job Summary We’re hiring an AI Engineer to design, build, and deploy AI-powered automation workflows for real-world business use cases. This is a hands-on, execution-focused role where you’ll rapidly implement solutions using tools like n8n, Go High Level, and LLM APIs—while also contributing to the development of more scalable, in-house AI systems over time. If you’re looking for a remote AI engineering job that blends prompt engineering, automation, and system design, this role offers strong growth potential and meaningful impact. Key Responsibilities Build and deploy AI automation workflows using tools like n8n, Zapier, and Go High Level Integrate and optimize LLM APIs (OpenAI, Claude, etc.) for business use cases Quickly deliver functional automation systems for client requirements Design and improve internal AI infrastructure to reduce reliance on third-party tools Debug, test, and refine workflows for performance and reliability Collaborate with an operations/project manager to gather requirements and iterate on solutions Continuously explore new AI tools and frameworks to improve system capabilities Requirements Proven experience working with LLMs and AI APIs (e.g., OpenAI, Claude) Strong understanding of automation tools such as n8n, Zapier, Go High Level, or similar platforms Ability to balance rapid implementation with long-term system scalability Solid problem-solving skills with experience debugging workflows and integrations Experience connecting APIs, webhooks, and third-party tools Clear and professional English communication skills Bonus: Experience with Python, backend systems, or building custom AI pipelines (e.g., RAG systems) Benefits 💰 Competitive salary based on experience and location 🌎 Fully remote role with flexible work environment 🚀 Work on cutting-edge AI automation projects with real business impact 📈 Strong growth opportunity into senior AI / systems roles 🧠 Exposure to LLMs, prompt engineering, and scalable AI system design 🤝 Direct collaboration with a fast-moving, high-performance team

Location: Amsterdam, Netherlands; Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. We are looking for a Senior Systems HPC Engineer to play a key role in building our hyperscaler platform, working across its core components while analyzing and optimizing the performance of large-scale GPU clusters at the intersection of hardware and software. You will operate across the full stack—from hardware and system software to networking (InfiniBand/RoCE), virtualization (KVM/QEMU), and distributed communication layers (e.g., MPI, NCCL). In this role you will Focus on understanding system behavior across multiple layers, identifying performance bottlenecks, and driving improvements that shape how our clusters are built, operated, tuned, and validated. Investigate and troubleshoot performance issues of GPU cluster under real workloads (training and inference) Evaluate and integrate new hardware, system configurations and tuning approaches through software stack Support complex performance-related escalations from internal teams and customers Work closely with infrastructure, software engineering and hardware vendor teams (e.g. NVIDIA, Mellanox, Intel) Contribute to hardware and cluster qualification (acceptance), ensuring systems meet performance expectations We expect you to have: 5+ years of professional experience in system-level software development (focused on performance optimization, low-level programming). 3+ years of hands-on experience with Linux systems (administration, troubleshooting, and performance tuning). In-depth understanding of server architecture, including PCIe devices, NICs, Linux OS/Kernel, and high-performance computing (HPC) systems. Strong proficiency in one or more performance-oriented programming languages (C/C++, Go, Python). We conduct coding interviews as part of the process. #LI-LH2 Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Задачи: — Проектирование и развитие распределённых систем (в том числе с нуля); — Формирование архитектуры интеграций между разнородными системами и источниками данных; — Проработка архитектуры обмена данными и взаимодействия сервисов; — Развитие и оптимизация существующей архитектуры; — Формирование архитектуры в формате Architecture as Code; — Взаимодействие с аналитиками и командами разработки; — Участие в проектировании сетевой связанности и инфраструктуры; — Обеспечение требований по безопасности данных и интеграций. Требования: — Опыт работы системным архитектором, техническим аналитиком или архитектором решений; — Практический опыт проектирования систем с нуля; — Умение описывать архитектуру (диаграммы, схемы, документация); — Понимание распределённых и интеграционных архитектур; — Практический опыт работы с RPC, REST, SOAP; — Опыт ETL, batch- и streaming-интеграций; — Опыт интеграции с различными источниками данных; — Понимание паттернов интеграции и отказоустойчивости; — Опыт работы с Oracle и PostgreSQL; — Уверенное знание SQL (проектирование схем и запросов); — Общее понимание Big Data и Hadoop; — Проектирование схем хранения и потоков данных; — Понимание сетевой связанности и распределённых систем; — Опыт участия в инфраструктурных решениях; — Понимание взаимодействия сервисов на сетевом уровне; — Знание протоколов шифрования и принципов работы с ключами; — Понимание защиты и маскирования чувствительных данных; — Учет требований информационной безопасности на уровне архитектуры; — Опыт или понимание Architecture as Code; — Практика работы с DDD, EAI и интеграционной архитектурой; — Опыт работы со Structurizr будет плюсом; — Опыт в доменах телеком, ритейл, e-commerce будет плюсом; — Архитектор с сильным инженерным бэкграундом; — Hands-on специалист, а не менеджер; — Умение работать в условиях неопределённости и сложных систем; — Способность эффективно взаимодействовать с бизнесом и разработкой; — Не рассматриваются cloud-only архитекторы без опыта on-prem и сетей, специалисты узких доменов (мобильная разработка, SAP, 1С, фронтенд, офисные решения, gaming/betting), PM/RM и другие чисто управленческие роли, системные администраторы без архитектурного опыта. Условия: — Оформление по ТК или ИП; — Удалённый формат работы.

Location: London Workplace: Hybrid Why loveholidays? We’re on a mission to open the world to everyone, giving our customers unlimited choice, unmatched ease and unmissable value for their next getaway. Our trailblaze together culture is what drives our success, powered by our people and the way they work. Using progressive technology, we drive cutting-edge innovation and improve how our customers discover, book and experience their holidays. You’ll have the opportunity to accelerate your growth through meaningful challenges, new experiences and the freedom to shape your own path. You’ll create impact for our future by taking ownership, contributing to shared goals and helping shape what comes next, all as part of our enhanced international community of talented, collaborative and passionate teams. Why Technology at loveholidays? Technology at loveholidays underpins our vision to become the most loved OTA in Europe. We drive cutting-edge innovation and technical excellence to futureproof the business. Our systems process trillions of daily holiday offers, we deploy over a thousand times a month, serving thousands of requests per second. This is where you can accelerate your growth by solving complex challenges and broadening your skillset. Join us to create impact for our future in an exciting new chapter, owning your success and contributing to shared goals. We actively talk about technology https://tech.loveholidays.com/ and adhere to our key technology principles https://tech.loveholidays.com/the-5-principles-that-helped-scale-loveholidays-7ea0b0fd3df9 that have guided us this far. We are growing and have ambitious plans to expand across Europe, employing the best minds and technology to let us do this. The impact you’ll have: You’ll join our Web Infrastructure team, reporting to the Senior Lead Engineer. The team builds the shared foundations behind loveholidays’ customer experiences, spanning our web and app platforms, design system, edge computing and experimentation. You’ll help shape these foundations by: - Building platforms that enable market-leading web performance and accessibility by default, giving product teams the foundations to deliver fast https://medium.com/loveholidays-tech/the-evolution-of-the-loveholidays-web-platform-9b34f59c8c5a, inclusive customer experiences. - Evolving our design system to help engineers, designers and AI agents deliver consistent, high-quality experiences. - Improving developer experience and reliability through faster builds https://tech.loveholidays.com/build-baby-build-276e445f539e, actionable error reporting https://tech.loveholidays.com/stop-chasing-ghost-errors-a-systematic-approach-to-frontend-error-monitoring-that-actually-works-fe5e1c8790cc and tools that make systems easier to develop and operate. - Owning problems from discovery through delivery by working directly with internal customers to identify priorities and validate that solutions meet their needs. Your skillset: - Strong frontend engineering and performance skills – you have deep experience with a modern frontend framework (we use Preact), TypeScript and CSS, and can diagnose performance bottlenecks and measure how architectural and implementation changes affect Core Web Vitals and real-world performance. - Experience building shared frontend foundations – you’ve built and maintained robust and reusable design systems and developer tooling – managing governance, compatibility and providing clear documentation and migration paths for adopting teams. - Accessibility engineering – you have experience embedding automated accessibility checks into component tests and CI, preventing regressions, and complementing automation with keyboard and assistive technology testing. - Infrastructure ownership – you have experience operating production infrastructure through infrastructure as code tools, such as Terraform, with attention to safe changes, observability and reliability. - Building systems for AI agents – you understand how clear interfaces, reusable capabilities, machine-readable context and automated validation help agents work reliably within defined constraints. - Product engineering mindset – you’re comfortable with ambiguous problems, can challenge proposed solutions and weigh trade-offs, and use research, adoption metrics and performance data to guide decisions. The interview journey: 1. TA screening - 30 mins 2. 1st stage interview with the Hiring Manager - 45 mins 3. Tech challenge - you can choose between a live and take home option 4. Final stage - consisting of discussions around three key areas Perks of joining us: - Company pension contributions at 5%. - Individualised training budget for you to learn on the job and level yourself up. - Discounted holidays for you, your family and friends. - 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum. - Ability to buy and sell annual leave. - Cycle to work scheme, season ticket loan and eye care vouchers. Our commitment to inclusion At loveholidays, we focus on creating an inclusive environment where everyone can contribute, grow and succeed. We value the different perspectives, experiences and ideas each person brings, because they help us work better together, challenge our thinking and make stronger decisions. As we continue to grow and evolve, we want everyone to feel supported and able to do their best work. We’re also committed to making our hiring process accessible, so please let our Talent Acquisition team know if you need any adjustments at any stage.

Задачи: — Тестирование On-Prem решений и системного ПО на ОС Astra Linux и RedOS. — Перевод сервисов Wiki Tracker Forms на ОС Astra Linux и RedOS. — Сборка и тестирование ПО из исходников (C/C++, Go, Java, Python). — Работа со статическим анализом и сканерами безопасности. Требования: — Опыт тестирования On-Prem решений и/или системного ПО. — Уверенное администрирование Linux (Astra Linux, RedOS или близкие дистрибутивы). — Опыт сборки ПО из исходников (C/C++, Go, Java, Python - в зависимости от стека). — Понимание системных библиотек, динамической линковки, зависимостей. — Опыт работы со статическим анализом и сканерами безопасности. — Будет плюсом: Опыт участия в проектах с сертификацией (ФСТЭК, аналогичные процессы). — Будет плюсом: Знание требований к защищённым и изолированным контурам. — Будет плюсом: Навыки написания технической документации и отчётов для аудита. — Будет плюсом: Опыт анализа производительности и устойчивости в On-Prem средах. Условия: — Удаленная работа из любой точки РФ. — Полная занятость.

Location: Remote Team: Revenue Operations Reports to: Chief Revenue Officer Location: Remote Type: Full-time The Role You'll be Product Owner across three surfaces : CRM — platform, data model, permissions, lifecycle automation. Partner Product — the cabinet, dashboards, payout logic, and tooling our IBs, affiliates, and KOLs live in. Marketing Enablement — lifecycle stack, AI agents, and the internal tools BD/AM run on. You own the roadmap, backlog, specs, and outcomes with a simple goal in view - to grow revenue. We want a disruptor. Someone who sees a 14-step nurture sequence and asks why an agent isn't running it. Someone comfortable in a product review with engineers and a funnel economics conversation with the CEO. What You'll Do 🛠 CRM Lead the new CRM rollout and adoption across BD, Partnerships, AM, Marketing, Compliance, Support. Own the data model, permissions, and the pipe from platform → warehouse → CRM → activation. Partner Product Own the IB/affiliate/KOL product experience end-to-end. Translate partner and BD feedback into a prioritised backlog; ship with engineering. Build the partner journeys, onboarding, activation, tiering, qualification that turn signups into revenue. Revenue org Enablement & AI Ship AI auto-funnels: agents that score, personalise, route, draft, and hand off. Embed AI into daily BD/AM work: prospect intelligence, meeting prep, auto-logged notes, next-best-action, call QA. Support Acquisition and Retention teams with setting up funnels across email, in-app, SMS, push. Always Test, measure, kill what doesn't work. Report ROI clearly. Iterate. What We're Looking For 🪄 Must-haves Product ownership experience with a track record. Experience in CRM integration/management (Salesforce, HubSpot, Zoho, Zendesk, Customer.io, Braze, or similar). Experience in shipping funnels that actually convert. Hands-on with AI in a revenue context : LLM APIs, agents, prompt engineering, AI-powered outbound. Strong with Dev, Data, Marketing, Sales. Translates well between them. Analytical. Reads cohorts and retention curves, not just reports. Bonus points for Owning a partner/IB/affiliate product before. Shipped AI agents on top of a CRM (scoring, outreach, research, QA). Tools: n8n, Make, Zapier Agents, Clay, Apollo, Smartlead, HeyReach, Retell, Bland. Fintech, crypto, brokerage, iGaming, or other regulated, affiliate-heavy verticals. RAG, vector DBs, internal knowledge agents. A portfolio that shows what you've built , not just where you've worked.

Location: Remote - United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. We are looking for a Lead Software Systems Engineer - GPU Performance to play a key role in building our hyperscaler platform, working across its core components while analyzing and optimizing the performance of large-scale GPU clusters at the intersection of hardware and software. You will operate across the full stack—from hardware and system software to networking (InfiniBand/RoCE), virtualization (KVM/QEMU), and distributed communication layers (e.g., MPI, NCCL). In this role you will Focus on understanding system behavior across multiple layers, identifying performance bottlenecks, and driving improvements that shape how our clusters are built, operated, tuned, and validated. Investigate and troubleshoot performance issues of GPU cluster under real workloads (training and inference) Evaluate and integrate new hardware, system configurations and tuning approaches through software stack Support complex performance-related escalations from internal teams and customers Work closely with infrastructure, software engineering and hardware vendor teams (e.g. NVIDIA, Mellanox, Intel) Contribute to hardware and cluster qualification (acceptance), ensuring systems meet performance expectations We expect you to have: 5+ years of professional experience in system-level software development (focused on performance optimization, low-level programming). 3+ years of hands-on experience with Linux systems (administration, troubleshooting, and performance tuning). In-depth understanding of server architecture, including PCIe devices, NICs, Linux OS/Kernel, and high-performance computing (HPC) systems. Strong proficiency in one or more performance-oriented programming languages (C/C++, Go, Python). We conduct coding interviews as part of the process. Key employee benefits: Health insurance: 100% company-paid medical, dental and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave : 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance: Company-paid short-term, long-term and life insurance coverage. #LI-LH2 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $170,000 — $300,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.