Вакансии

Задачи: - Интегрировать LLM в продукты и сервисы (API, backend, пайплайны обработки данных); - Разрабатывать и оптимизировать prompt’ы, CoT, системные инструкции; - Оценивать качество ответов (метрики + human eval); - Настраивать guardrails: безопасность, фильтрация, соответствие требованиям; - Строить RAG-системы: индексация данных; работа с векторными БД; оптимизация поиска и генерации; - Оптимизировать инференс (стоимость, latency, batching, caching, квантизация); - Участвовать в архитектурных решениях вместе с продуктовой и ML-командой; - Исследовать и внедрять новые подходы и модели; - При необходимости: работать с мультимодальными моделями (текст, изображения, документы). Требования: - Уверенный Python; - Опыт работы с LLM в проде (не только pet-проекты); - Понимание prompt engineering, RAG-подходов, оценки качества моделей; - Опыт деплоя ML/LLM решений (Docker, Kubernetes, cloud); - Работа с векторными базами данных. Будет плюсом: - Fine-tuning / PEFT (LoRA, adapters); - RLHF или synthetic data generation; - Опыт с LangChain, LlamaIndex, Hugging Face; - Оптимизация инференса (vLLM, TensorRT, ONNX); - Опыт с мультимодальными моделями; - Публикации / open-source / pet-проекты; - Участие в хакатонах; - Понимание продуктовых метрик. Условия: - Полная удалёнка; - Аккредитованная ИТ-компания; - Интересный продукт, современный стек, микросервисная архитектура; - Известные клиенты из ТОП-10 в своих сегментах; - Прокачка скиллов под руководством лидов с 8+ лет опыта; - Достойный оклад по итогам собеседования + ежеквартальный сбор ОС с премированием лучших сотрудников; - Возможность взять на себя дополнительные задачи за соответствующее вознаграждение; - Премии за менторство младших сотрудников; - Ежеквартальные бонусы и подарки лучшим сотрудникам; - Пригласите друга и получите щедрое вознаграждение за рекомендацию.

Location: San Francisco, CA 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 Enterprise is central to Anthropic's mission. The organizations that could benefit most from Claude are often the most demanding buyers, with rigorous requirements around security, compliance, and control. We believe earning their trust is essential to ensuring AI benefits the world broadly. We're looking for an engineering manager for our Enterprise pillar —the team that makes Claude enterprise-ready at scale. When a Fortune 500 company wants to roll out Claude to 100,000 employees, we're the team that makes it possible. You'll build the foundational systems that large organizations require before they can deploy AI at scale. This work directly converts product-market fit into revenue by removing the deployment blockers that prevent large organizations from adopting Claude broadly. This role sits at the intersection of enterprise product, platform infrastructure, and go-to-market. You'll partner closely with product, design, sales, and customer success to understand what our largest customers need, then translate those requirements into scalable technical solutions that work across Claude.ai , Claude Code, and API. Responsibilities Lead and develop a team of engineers building out features and foundations that make Claude enterprise-ready at scale Own engineering execution end-to-end: planning, prioritization, delivery quality, team health, and incident response Partner with engineering teams throughout the company to ensure that the platforms we build are extensible and easy to adopt Partner with sales and customer success on enterprise deals—understanding requirements, representing engineering in key conversations, and turning what you learn into priorities Shape the roadmap with product and design, not just execute against it Drive the compliance and platform-readiness work your customers require, partnering with security and legal Recruit, onboard, and grow strong engineers; give direct feedback and build a healthy, high-performing team Minimum qualifications 4+ years of experience as an engineering manager, with experience in enterprise SaaS, cloud services, or admin tools Are comfortable executing at a fast pace to meet the expectations of our customers Are detail-oriented and quality-focused - our customers are using Claude for critical workflows and our product needs to stay robust and reliable Are comfortable working with enterprise customers, working alongside sales and customer success and joining customer conversations Are a skilled engineering manager who treats management as a craft—clear feedback, strong 1:1s, consistent investment in your team's growth Preferred qualifications Experience with AI/ML products and understanding how enterprises evaluate and deploy AI tools Background with compliance frameworks for regulated industries (SOC2, HIPAA) and enterprise audit logging requirements Experience building integrations, permissions, billing, or pricing infrastructure Familiarity with data residency and sovereignty requirements across global regions Startup experience, particularly in scaling enterprise platforms from early adoption to broad deployment Experience in working with research to improve domain specific model capabilities 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: $405,000 — $485,000 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. 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: Dhahran, Saudi Arabia Eram Talent is looking for a motivated Associate Petroleum Engineer to join our client's team. In this role, you will support the engineering team in reservoir evaluation, production forecasting, and optimization projects. You will assist in data gathering, analysis, and report preparation, collaborating closely with senior engineers and geoscientists to achieve project goals. Responsibilities: Assist in reservoir and production data collection and analysis. Support the development of well performance models and forecasts. Help prepare technical reports and documentation. Collaborate with multidisciplinary teams to support field development planning. Ensure compliance with safety and company standards. Requirements Bachelor's degree in Petroleum Engineering or a related engineering field. 5+ years of experience in Petroleum Engineering or Oil & Gas industry. Basic understanding of reservoir engineering principles and production optimization. Proficient in Microsoft Office and engineering software/tools. Strong analytical and problem-solving skills. Good communication skills and ability to work in a team environment. Willingness to work in Saudi Arabia and travel as needed.

Location: Hybrid (Berlin, Germany). Must be based in or be able to relocate to Berlin, Germany (attendance at the Berlin campus 2 days a week). Company: A pioneering local delivery platform operating in over 70 countries, focusing on efficient, affordable, and sustainable last-mile delivery. What you will do: — Build and scale AI agents capable of reasoning, tool calling, and interacting with internal services and data systems. — Develop and maintain Retrieval-Augmented Generation (RAG) pipelines using vector databases and semantic retrieval systems. — Design and implement evaluation frameworks and safety guardrails for agent behavior and model performance. — Implement observability, monitoring, and cost visibility for LLM and agent workloads. — Collaborate with data scientists and platform engineers to integrate AI systems with the broader ML ecosystem. — Optimize systems for performance, reliability, and cost efficiency while operating AI workloads at scale. Requirements: — Proven experience shipping LLM-powered systems or AI agents into production. — 4+ years of experience in production machine learning infrastructure, specifically involving LLMs. — Strong programming skills in Python with experience building scalable backend services. — Experience with Cloud platforms, ideally AWS or GCP. — Strong communication skills and ability to work collaboratively in cross-functional teams. Nice to have: — Experience with Kubernetes, Terraform, Kafka, MLflow, or Kubeflow. — Experience with LLM application frameworks such as LangChain, LangGraph, or LlamaIndex. — Experience with ML frameworks such as Hugging Face or PyTorch. Culture & Benefits: — Hybrid working model with 2 days a week in the Berlin campus. — 27 days of holiday, increasing with years of service. — €1,000 Educational Budget, language courses, and access to Udemy Business. — Health checkups, meditation, and gym/bicycle subsidies. — Employee Share Purchase Plan, corporate pension plan, and life/accident insurance. — Relocation support and dedicated relocation hub for moving to Berlin.

Bitrefill is a profitable fintech company operating globally, enabling people to spend crypto on gift cards, mobile top-ups, subscriptions, and bill payments in over 180 countries. The QA team is small, hands-on, and focused on building test automation infrastructure with autonomy and few meetings. Задачи: — Авторство и поддержка E2E автоматизированных тестов с использованием Playwright и Maestro. — Создание регрессионных, smoke и sanity тестов для критических процессов: оформление заказа, платежи, погашение подарочных карт, управление аккаунтом. — Интеграция автоматического запуска тестов в CI/CD для выполнения при каждом деплое на staging. — Работа с внутренним инструментом MCP для управления тест-кейсами через API в Qase. — Поиск и исправление нестабильных тестов, улучшение стабильности и скорости выполнения. — Сотрудничество с разработчиками для понимания новых функций и преобразования требований в автоматизированное покрытие. — Участие в планировании тестирования, оценке рисков и принятии решений о том, что автоматизировать, а что тестировать вручную или исследовательно. Требования: — Опыт 2-4 года в написании и поддержке E2E автоматизированных тестов. — Навыки программирования, опыт разработки, применение их в автоматизации тестирования. — Использование AI-инструментов для написания и отладки тестов. — Опыт с современными фреймворками автоматизации тестирования (Cypress, Playwright, Selenium и др.). — Опыт или интерес к мобильной автоматизации (Maestro, Appium, Detox и др.). — Умение работать в условиях ранних стадий QA, где процессы не фиксированы. — Владение JavaScript/TypeScript. — Опыт в backend-разработке и инфраструктуре. — Опыт тестирования API (REST, валидация запросов/ответов). — Знание концепций CI/CD и запуска тестов в пайплайнах. — Понимание рабочих процессов тестирования: кейсы, сьюты, прогоны, отчеты. Желательно: — Опыт с Spur или Maestro. — Опыт с инструментами управления тестами и API (Qase, TestRail и др.). — Интерес к Bitcoin/криптовалютам или опыт тестирования платежных/финтех продуктов. — Опыт тестирования e-commerce или маркетплейсов. Личностные качества: — Самостоятельность, готовность брать ответственность в небольшой удаленной команде. — Восприятие нестабильных тестов как задачи для решения. — Интерес к влиянию AI на QA и желание работать с AI-усиленными процессами. — Умение писать качественный код автоматизации и стремление к улучшению рабочих процессов.

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY 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 with the speed, reliability, and efficiency that frontier AI demands. We build across GPUs, TPUs, and Trainium, and the complexity of our development environment grows with every platform we add. We're looking for a Staff engineer to be the technical lead for Inference Developer Productivity: the team that makes every engineer in the org dramatically more effective at building, testing, and shipping inference software. This is a senior IC role with broad technical ownership. You'll set technical direction for the team's toolchains, workflows, and feedback loops, and you'll be the one making the hard calls on architecture, prioritization, and tradeoffs across heterogeneous accelerator platforms. You'll pair with the team's Engineering Manager, who owns hiring and people development, while you own the technical roadmap and drive the work. You'll also partner closely with Anthropic's central Infrastructure org, where company-wide developer productivity lives, to make sure Inference's multi-accelerator reality is well served without duplicating effort. This role is for someone who has been the technical anchor on a platform or infrastructure team before, who thinks in systems and feedback loops, and who gets real satisfaction from the moment another engineer stops fighting their environment and starts shipping. Key responsibilities Set technical direction for Inference Developer Productivity, owning the architecture and roadmap for toolchains, dev environments, and CI/CD across GPU (CUDA), TPU, and Trainium platforms Be the technical owner of accelerator toolchain management: compilers, drivers, libraries, frameworks, kept current, compatible, and well-tested so Inference engineers focus on model serving instead of environment archaeology Design and build infrastructure for efficient accelerator usage during development, including devbox environments, pre- and post-land validation automation, and shared tooling that reduces the cost of working across heterogeneous hardware Define and instrument productivity metrics for the Inference org, building the dashboards and alerting that surface regressions early (smoke tests red for extended periods, build times creeping up, toolchain breakages) and drive them to resolution Proactively hunt down bottlenecks, toil, and friction across Inference engineering workflows, then design and build the systems that eliminate them Act as the technical counterpart to Anthropic's central Infrastructure org, aligning on shared developer productivity initiatives, contributing Inference-specific requirements, and making the call on build vs. adopt Mentor engineers on the team through design review, code review, and direct collaboration, raising the technical bar without owning headcount Minimum qualifications 8+ years of software engineering experience, with significant time as the technical lead or anchor on an infrastructure, platform, or developer productivity team Deep background in systems engineering, build/test infrastructure, or ML infrastructure, with the ability to go hands-on with toolchain issues, CI/CD pipelines, and developer workflow optimization Experience owning toolchains or development environments for compute-intensive workloads (ML training or inference, HPC, large-scale distributed systems) Real depth in at least one accelerator ecosystem (CUDA/GPU, TPU, or Trainium/AWS Neuron) and genuine appetite to learn the others A track record of defining and using engineering metrics to drive improvement: you've built dashboards, set SLOs on developer workflows, or led initiatives that measurably improved engineering velocity Experience driving technical alignment across organizational boundaries, advocating for your team's needs while contributing to shared infrastructure Strong written and verbal communication, and the ability to influence technical direction without formal authority Preferred qualifications Experience with ML compiler toolchains (XLA, Triton, NeuronX) or accelerator driver/firmware management at scale Background building or running shared development environments (devboxes, remote development, ephemeral environments) for hardware-dependent workflows Experience with CI/CD systems at scale, particularly for workloads involving accelerator hardware Familiarity with Kubernetes-based development and job scheduling environments Prior tech lead experience on a developer productivity or platform engineering team at a fast-growing AI/ML company 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: $405,000 — $485,000 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. 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.

Мы Karta.io — FinTech (B2C, B2B) платформа с виртуальными картами высокого траста и собственной крипто-инфраструктурой. Карта выпускается за секунды, работает в 150+ гео, пополняется из любого крипто-кошелька. Мы 3+ года на рынке, распределённая команда 30+ человек по всему миру, без микроменеджмента. Ищем первого Founding Mobile Engineer / Mobile Lead — человека, который возьмёт ownership над мобильным направлением с нуля и вырастит его в self-sufficient команду. Почему у нас интересно: Zero-to-one : нет legacy-кода мобильного приложения, но есть работающий продукт в TMA. Нужно перенести функциональность и развивать новую параллельно AI First : мы не адаптируем AI под процесс — мы строим процесс под AI. Mobile Lead станет ключевым архитектором этого подхода в компании Работа напрямую с C-Level Что предстоит делать: Выбрать и обосновать технологический стек (React Native или Flutter) — твоё решение, ты его защищаешь Перенести функциональность из Telegram Mini App в нативное iOS + Android-приложение Выстроить архитектуру, CI/CD, релизные процессы Нанять и вырастить команду 1–2 человека: код-ревью, онбординг, менторство Работать в связке с Product, Design, Backend, QA, CTO при запуске сценариев: карты, KYC, on/off-ramp, Apple/Google Pay Внедрять и поддкрживать AI-first процесс разработки Что для нас важно: 4+ лет коммерческой mobile-разработки с ответственностью за архитектуру Опыт в fintech, crypto wallet или neobank Понимание security в финтех-контексте: знаешь угрозы мобильных финтех-приложений и закрывал их на уровне реализации — secure storage, biometrics, certificate pinning Опыт построения или развития mobile-команды (1–2 человека → self-sufficient unit) Опыт выбора стека и защиты решений перед техническим руководством AI Coding Tools в ежедневной практике + готовность лидировать эти процессы на уровне команды Английский — письменная коммуникация без барьеров Будет плюсом: Опыт с self-custody / non-custodial wallet Масштабирование приложения до 100k+ MAU Знание PCI DSS / GDPR на практике AppsFlyer / Adjust Что мы предлагаем: Зарплату на уровне рынка в USDT или $ (Deel) Комфортную удалёнку из любой точки мира (основная тайм-зона GMT+3 до GMT+8) Живая, быстрорастущая среда, где можно реализовать собственные идеи Оплачиваемый отпуск 28 календарных дней в году и выходные в праздничные дни Прямая работа с CTO Процесс Отклик → HR-скрининг (45 мин) → Tech interview → Final → Оффер

Location: London, UK Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. Who You Are You are a DevOps engineer with software development background who likes working on everything that helps to improve the quality of life for your team and providing your expertise in creating a performant CI/CD stack to boost the code development/build process. What You’ll Do - Collaborate closely with our engineering team to help them be more productive by improving development tools. - Maintain a strong connection to the product and remain comfortable engaging in direct feature development - You will take ownership of CI/CD stack, keeping it robust, observable, stable, and performant. - Research, implement, and develop tools to help developers write new code. - Ensure the CI/CD infrastructure and process is reliable and consistent. What we’re looking for - Solid background in Linux. - Experience in CI/CD stack development and maintenance. - Working proficiency with Ruby, Javascript or Python. - Knowledge of AWS technologies (EC2, load balancing, auto-scaling, IAM, S3, Route53, etc.). - Telemetry and monitoring experience (OpenTelemetry, Grafana, Kibana). - Experience with containerization (Docker, Kubernetes, etc). What we’d be particularly excited about - Experience with CI build time optimization especially with Jenkins, Rspec and Cypress/Playwright. - Familiarity with databases like MongoDB and/or ClickHouse. - Experience with build systems like Webpack, Gradle, etc. - Proficiency with the CI tools like Jenkins, TeamCity, etc. What you’ll learn: - You’ll learn about the Ruby language and the Rails framework since it’s used in many aspects of our projects and tools. - You’ll gain deep insights into infrastructure automation using technologies such as Ansible and Terraform since they are central to our deployment strategies. Blog Posts Read more about some of our Technical challenges here (written by members of our engineering team): https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers   About Sensor Tower Sensor Tower is a global provider of digital intelligence solutions, empowering companies to understand consumer behavior and market performance across mobile apps, digital platforms, and gaming ecosystems. Headquartered in San Francisco, Sensor Tower's insights are trusted by more than 2,500 enterprises worldwide. Founded in 2013, Sensor Tower’s market insights have helped marketers, app developers, and gaming leaders demystify the mobile app ecosystem with visibility into usage, engagement, and paid acquisition strategies. Today, Sensor Tower’s digital market insights platform has expanded to include Gaming, Web, Audience, and Digital Advertising Insights, helping global leaders understand market trends and their competitor’s strategies and audiences across the entire digital ecosystem. Why Sensor Tower? Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love! GLOBAL TEAMS Sensor Tower has a global presence, with teams across the world and available in most time zones, including North America, Europe, Middle East, Africa, APAC and LATAM. We maintain regional offices in SF, LA, NY, London, Singapore, Beijing, Seoul, Tokyo and Vancouver. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Los Angeles, United States 📍 Location: The Greater Los Angeles Metropolitan Area, CA (Onsite) If you’re interested in learning more about this opportunity or beginning the interview process, feel free to connect directly via LinkedIn: LinkedIn: https://www.linkedin.com/in/ra... Manufacturing Engineer – Effectors An advanced aerospace and defense technology company is seeking a hands-on Manufacturing Engineer to help scale next-generation interceptor and autonomous defense systems from prototype development into high-rate production. This role sits at the intersection of product engineering, manufacturing strategy, and production execution. The ideal candidate will bring strong Design for Manufacturing & Assembly (DFMA) experience, a deep understanding of producibility, and practical experience scaling hardware from low-volume development into repeatable, cost-optimized manufacturing environments. This is a highly collaborative and hands-on position for someone who enjoys working directly with hardware, influencing design decisions early, and helping build manufacturing capability from the ground up. Responsibilities Design for Manufacturing & Assembly (DFMA) Lead DFMA reviews throughout concept development, design reviews, prototyping, and production readiness phases Influence hardware designs for manufacturability, scalability, cost efficiency, and assembly optimization Evaluate tolerance stack-ups, GD&T strategies, joining methods, and assembly flow Help simplify part counts, interfaces, fastener strategies, and production processes Develop assembly sequencing approaches optimized for throughput and takt time Support material and process selection decisions with a focus on scalable production Producibility & Production Engineering Perform producibility assessments, process capability evaluations, and yield analysis Develop manufacturing plans, work instructions, routing flows, and MBOM structures Support make-versus-buy decisions alongside supply chain and operations teams Identify tooling, fixture, and capital equipment requirements needed for scale-up Analyze bottlenecks, cycle times, and production rate sensitivities Drive process improvements focused on throughput, quality, and cost reduction Prototype & Transition-to-Production Support Support manual prototype builds, assembly activities, and early production efforts Provide hands-on troubleshooting support during pilot builds and ramp activities Participate in root cause investigations and corrective action implementation Support First Article Inspection (FAI), qualification efforts, and production validation Collaborate closely with design, quality, supply chain, and test engineering teams Assist with supplier readiness, manufacturing transfers, and production scaling initiatives Continuous Improvement & Factory Scaling Develop scalable manufacturing strategies for high-rate production environments Implement automation, poka-yoke, and error-proofing concepts where appropriate Support MES, ERP, and PLM manufacturing workflows Analyze yield, cost, rework, and throughput metrics to improve manufacturing performance Help establish long-term production infrastructure and scalable manufacturing operations Qualifications Bachelor’s degree in Mechanical Engineering, Manufacturing Engineering, or related STEM field 5+ years of experience in aerospace, defense, automotive, robotics, semiconductor, or other high-rate manufacturing environments Strong DFMA and producibility engineering experience Experience transitioning hardware from development/prototype phases into production Working knowledge of: GD&T (ASME Y14.5) Tolerance stack-up analysis Manufacturing process capability concepts (Cp/Cpk) Root cause methodologies (8D, RCCA, Fishbone, etc.) Experience developing: Manufacturing documentation MBOMs Work instructions Process flows Production routing sequences Proficiency with CAD tools such as SolidWorks, Creo, CATIA, or similar Ability to work hands-on in fast-paced development and production environments U.S. citizenship required; ability to obtain and maintain a DoD security clearance required Preferred Experience Missile, interceptor, UAV, autonomous system, or aerospace hardware manufacturing High-rate production scaling experience (100k+ units/year environments strongly valued) Startup or greenfield manufacturing build-out experience Automated assembly systems or robotics integration Composites, harness integration, or electromechanical assembly experience Experience with PLM, MES, or ERP manufacturing systems Experience conducting Manufacturing Readiness Level (MRL) assessments Exposure to contract manufacturing, supplier industrialization, or production transfer activities What Makes This Opportunity Unique This role offers the opportunity to help build a manufacturing capability from the ground up inside a rapidly scaling aerospace and defense environment. The team is looking for engineers who can bridge product development and manufacturing execution — people who understand not only how to design hardware, but also how to build it efficiently, repeatedly, and at scale. You’ll have significant ownership early, working directly with prototype hardware today while helping shape long-term production strategy for future high-rate manufacturing operations. Additional Information Competitive compensation and equity package Comprehensive healthcare coverage 401(k) matching PTO flexibility Relocation assistance may be available Full-time onsite collaboration environment U.S. citizenship required due to security and export control requirements 📍 Location: The Greater Los Angeles Metropolitan Area, CA (Onsite) To learn more or express interest, connect directly via LinkedIn: LinkedIn: https://www.linkedin.com/in/ra... Salary: $110,000 – $160,000 / year

Задачи: — Архитектура и масштабирование систем биллинга в реальном времени, от загрузки данных в ClickHouse до рейтингового движка. — Создание идемпотентных платежных потоков и систем сверки с использованием Stripe и других провайдеров. — Разработка систем обнаружения мошенничества и злоупотреблений в реальном времени для защиты маржи платформы. — Оптимизация сервисов на PostgreSQL и Node.js для работы с высокими нагрузками записи и в условиях высокого давления. — Реализация долговременных рабочих процессов с использованием Temporal. — Создание API на TypeScript и GraphQL с акцентом на аудит и корректность. Требования: — Подтвержденный опыт масштабирования систем (например, обработка роста в 10 раз). — Глубокие знания PostgreSQL и моделирования реляционных данных в масштабах. — Сильные знания внутренних механизмов Node.js (event loop, поведение памяти). — Опыт работы с движками рабочих процессов, такими как Temporal, для асинхронных backend-задач. — Знание особенностей отказов платежных провайдеров, идемпотентности и сверки. — Способность вести весь процесс разработки от ERD до мониторинга. Желательно: — Опыт с Rust или желание его изучить. — Прямой опыт в биллинге, платежах или системах борьбы с мошенничеством. Условия: — Высокая автономия и культура владения процессами с минимальным количеством встреч. — Глобально распределенная команда с асинхронным стилем коммуникации. — Конкурентная зарплата, полный пакет медицинского страхования (включая иждивенцев) и значительные долевые гранты. — Стипендия на оборудование и акцент на долгосрочное профессиональное развитие. Процесс найма: — Вводный звонок для обсуждения роли и целей кандидата. — Асинхронный проект по дизайну системы масштабирования (биллинг или потоковая обработка). — Технический обзор решения с инженерной командой. — Собеседование с 4 сотрудниками из разных отделов компании. — Финальный разговор с CEO.

Задачи: — Владение backend-функционалом от начального проектирования до развертывания и мониторинга. — Создание и масштабирование инфраструктуры для торговли в реальном времени, включая системы ценообразования, управления рисками, исполнения и расчетов. — Разработка backend-сервисов с использованием TypeScript/Node.js, Kafka, Redis, очередей и WebSockets. — Интеграция с EVM-цепочками, кошельками, RPC, смарт-контрактами и потоками транзакций в блокчейне. Требования: — Опыт backend-разработки в продуктивных средах не менее 4 лет. — Глубокие знания TypeScript и Node.js. — Опыт работы с Python, распределенными системами и backend-инфраструктурой. — Твердое понимание экосистем EVM и архитектуры Web3. — Готовность работать в часовом поясе CET-IST. Плюсом: — Интерес к DeFi, perpetuals или финансовым технологиям. Условия: — Работа в быстрорастущем стартапе с высоким уровнем ответственности. — Возможность создавать критически важные системы для высокопроизводительной торговой платформы.

Location: Hybrid - Riyadh, Saudi Arabia 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. We’re building the complete data stack for AI — exascale object store, table store, agent memory, and brain: every layer of how AI stores, retrieves, and thinks over data. Hard problems with no existing answers. Bring your own. What you will do: You’ll own problems end-to-end — the kind most engineering teams never get close to. No ticket queues, no standups, no permission. Just you, the codebase, and a team of people who care as much as you do. Everyone here is an IC, an architect, or a lead — most are all three. Your Skills and Experience: Deep OS internals. Networking from the socket layer up. Strong opinions on memory, concurrency, and correctness — and the humility to revise them. You’ve debugged something no one else could reproduce.You’ve read source code not because you had to, but because it was bothering you. Key Competencies: Fluent in ≥2 languages, honest about tradeoffs You debug by understanding, not by guessing Grit: you start hard things and finish them Curiosity you genuinely can’t switch off Low ego, extremely high standards You write code the next engineer respects Operating Systems, Networking, Systems Programming, Distributed Systems, Storage Engines, Vector/Graph Retrieval, Low -Latency I/O, and Protocol Design MinIO Engineering Culture: All leads, architects and ICs — no managers Full ownership from day one, no permission needed Decisions made by the people doing the work Craftsmanship is a first-class engineering concern No sprints. No standups. No Jira. 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 Please include a sample of your work. Examples could include a repo, write up, postmortem, We care more about the work you have done more than a resume. - Submissions without samples will not be considered 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: Singapore Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU’LL DO - Design and deliver production-grade AI agents https://sierra.ai/blog/meet-the-ai-agent-engineer: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. - Drive the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way. - Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups, embedding AI agents across their entire business stack to drive innovation and efficiency. - Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product. EXAMPLE PROJECTS These are some examples of projects that engineers on our team have worked on recently: - Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churn - Develop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations - Create generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services! - Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent development - Experiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customers WHAT YOU'LL BRING - Experience building and scaling end-to-end production systems - Strong technical problem-solving skills, especially in fast-changing, ambiguous environments - A builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and ship - Comfort working directly with customers to understand their needs and solve real-world problems - Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences - Proficiency in Mandarin is required to support interactions with Mandarin speaking clients. EVEN BETTER... - Experience building or deploying AI/LLM systems in production - Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed - Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering - Prior experience with React, TypeScript, and/or Go - Previous roles where you interfaced with customers or led technical projects with external stakeholders OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: Remote - United Kingdom Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Presales Engineer, DACH. About the job This position is needed to enable our customers to build the future of communications. The Principal Presales Engineer is a critical part of the sales team focused on our both New Business and Strategic segments. Twilio’s Principal Presales Engineers are responsible for delivering the Technical Win and best Product Fit to our customers. They lead the technical pre-sales relationship, drive technical discovery, propose technical architectures, demonstrate the product, anticipate concerns and offer creative solutions. They build customer trust in Twilio’s solutions. Principal Presales Engineers should be comfortable engaging a CEO or sketching out an API flow on a whiteboard with customer software engineers. Responsibilities In this role, you’ll: Partner with Account Executives to execute pre-sales activities including opportunity qualification, demonstrations, Proof-of-Concept, RFP, design documentation, technical presentations and enablement sessions. Help customers achieve success by leading the technical and product sale, recommending best-practice solutions, and guiding them on how to use Twilio’s APIs. Establish yourself as a trusted advisor to our customers, by taking the lead on understanding customer technical pains through discovery in order to design, demonstrate, and present innovative solutions that solve business challenges. Build and present highly interactive, complex and engaging customer product demonstrations to help showcase the capabilities of Twilio’s Communications Products, while effectively forming strong customer relationships with both technical and nontechnical stakeholders Be Hands-on, high-energy, passionate, and a creative problem solver, equipped with the knowledge of how to get things done and ability to lead others to success. Take the initiative to identify and solve problems - both for the customer and within the organization as we grow Contribute to the broader Twilio Presales Engineering community through knowledge sharing, constructing demonstration materials, and creating reusable presentations Mentor less experienced Presales Engineers Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: 8+ years pre-sales experience selling complex, technical products or 10+ years of professional experience supporting technical products coupled with customer facing experience, particularly in delivery or consulting Excellent communicator and presenter able to gain audience confidence An engaging storyteller - you can gain audience confidence and communicate complex topics to multiple levels of audience. Ability to build a deep understanding of a customer’s communications needs and guide them to a technical solution Previous software development experience or working knowledge in one or more of the following areas: Backend (Java, C#, Node.js, Python, PHP) Web development (JavaScript, HTML/CSS, frontend frameworks - React, Vue.js, Angular) Experience building with REST APIs Previous experience in Telecom, SIP, Contact Center, or Security . Experience with sales methodologies Bachelor’s and/or Master’s degree in a technical discipline (Engineering, Mathematics, Computer Science) or equivalent practical experience Proficient German speaker Desired: Familiarity with cloud platforms (Amazon Web Services, Google Cloud, Microsoft Azure) and cloud application architecture. Experience working with customers in the DACH region Location This role will be remote and based in the UK, Ireland or Spain Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 35% travel is anticipated to help you connect in-person in a meaningful way. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. 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. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE: We are looking for a Software Engineer to work on the systems that let operators author, deploy, and manage robot workflows at scale. This sits at the intersection of backend infrastructure and product - you'll build the services that coordinate fleets of robots, the tooling that lets operators express what they want robots to do, and the interfaces that give visibility into what's actually happening on the floor. This is a full-stack role with a strong backend lean. You'll work closely with the robotics, AI, and product teams to build systems that are real-time, multi-tenant, and mission-critical. WHAT YOU’LL DO - Build and maintain backend services that coordinate robot fleets at runtime: workflow state management, event logging, and the APIs that robots, operators, and third-party systems use to interact with the platform - Develop and evolve the workflow authoring experience - tooling that lets operators define, deploy, and incrementally refine robot workflows in natural language, without needing to understand the underlying representation - Build on-robot services that enable remote control, workflow execution, state reporting, and diagnostics - Own the data infrastructure that tracks workflow execution: event logs, conformance metrics, and the audit trails that let operators understand what robots are doing and why - Build and maintain reliable, secure cloud infrastructure for running these services, including deployment pipelines, observability, and alerting - Implement testing and validation pipelines to catch regressions across the UI, backend, and on-robot services - including simulation-based workflow validation before changes hit production WHAT WE’RE LOOKING FOR - Strong backend engineering skills in Python, Go, or similar - Solid understanding of API design, data modelling, and the tradeoffs in distributed systems (consistency, concurrency, fault tolerance) - Experience with cloud infrastructure and deployment: containerisation, CI/CD, infrastructure-as-code - Comfort working across the stack from frontend to backend - Experience with observability and alerting in systems where failures have real operational consequences - Good instincts for where complexity should live and how to keep systems debuggable and understandable as they grow NICE TO HAVE - Familiarity with workflow engines, state machines, or coordination systems — ideally in a multi-agent or fleet context - Experience building operator-facing tooling: dashboards, authoring UIs, or systems that translate human intent into structured actions - Exposure to LLM-based agentic systems, particularly using AI to generate or modify structured representations from natural language - Experience integrating with third-party enterprise systems (WMS, ERP, or similar) - Background in robotics or real-time systems where execution state and side-effects need to be managed carefully WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE: We are looking for a Software Engineer to own the device software and data pipeline for our UMI data collection devices - handheld gripper systems used by human operators to demonstrate manipulation tasks. The data they produce is used to train our robots, so the quality of what you ship determines the quality of robots we deploy. This is a deeply technical, hands-on role. You will write production-grade device software, build reliable sensor fusion and recording pipelines, and own the validation tooling that keeps our training datasets clean. You will work closely with hardware, AI, and data collection teams. WHAT YOU’LL DO: - Develop and maintain device software across the full episode lifecycle: session initialisation, per-sensor stream management, episode recording, and graceful shutdown - Integrate and synchronise sensor streams - wrist and head cameras, 6-DOF pose trackers, gripper aperture encoders, and optionally force/torque sensors - into temporally-aligned, policy-consumable trajectories - Define and maintain the data contract between UMI devices and the AI team: stream formats, episode packaging, metadata schemas, and the interface between raw recordings and training pipelines - Build and maintain data validation tooling that detects dropped frames, timing jitter, pose tracking loss, image quality degradation, and sensor faults before corrupt episodes enter the training dataset - Own operator-facing device software: status indication, start/stop/cancel episode controls, and clear feedback when a session needs to be retried - Support field data collection sessions - deploying devices to operators, validating data quality in situ, and iterating quickly when issues surface during collection - Debug integration failures on device hardware: camera driver issues, bus bandwidth saturation, tracker calibration drift, compute thermal throttling, and storage write failures mid-episode WE’RE LOOKING FOR: - Experience in embedded or device-level software in a robotics or sensing context - writing code that runs on the device, not just talking to it - Proficiency in C++ and/or Python for real-time sensor drivers, inter-process communication, and data recording pipelines - Solid understanding of multi-modal sensor synchronisation - timestamps, hardware triggers, clock drift - and the practical consequences of getting it wrong for downstream ML - Familiarity with camera pipelines and the difference between what a sensor reports and what actually lands on disk with correct timing - Strong instincts around data quality and dataset hygiene - you are uncomfortable shipping episodes with frame drops, tracking loss, or misaligned streams - Proven ability to debug on real hardware: you read logs, attach profilers, and can diagnose whether a problem is a driver, a bus, or a timing issue NICE TO HAVE: - Experience with 6-DOF pose tracking systems (VIO, optical trackers, or similar) and their common failure modes - Familiarity with ML training data formats and what an AI team actually needs from a recorded episode - understanding the consumer of the data you produce - Exposure to operator-facing tooling for data collection: session management, per-episode quality summaries, rejection and retry workflows - Experience scaling device software from a small number of prototype units to many devices operated by non-engineers in the field WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: Espoo Workplace: Hybrid - Title: Senior Electronics Engineer, Radar Payload Team - Department: Engineering - Location: Espoo, Finland - Reports to: Radar Payload Team Lead - Employment type: Permanent - Workplace model: Office - Employment is subject to applicable security screening (incl. SUPO) WHY THIS ROLE MATTERS: As a Senior Electronics Engineer, you’ll design and deliver the core electronic systems that power ICEYE’s radar payloads, ensuring reliable performance of mission-critical hardware operating in space. WHO WE ARE ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience. ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation. YOUR DAY-TO-DAY RESPONSIBILITIES - Design board-level electronic systems for satellite radar units and RF boards, focusing on power and control circuits - Develop microcontroller-based solutions for power management and control functions - Test and validate electronic designs to ensure performance, reliability, and compliance with requirements - Document schematics, PCB layouts, and verification procedures throughout development - Troubleshoot issues across development, manufacturing, and in-orbit operations - Collaborate with RF, mechanical, and software teams to deliver integrated payload systems - Lead technical initiatives and contribute system-level insight to identify risks and drive solutions - Support production and continuous improvement of electronic subsystems WHAT WE’RE LOOKING FOR MUST HAVES: - 10+ years of experience in electronics engineering delivering industrial-grade hardware products end-to-end - Strong experience designing analog power systems and control electronics for complex hardware - Proficiency with PCB design tools such as Altium and best practices for high-reliability designs - Solid understanding of high-speed signal design and integrity - Knowledge of EMI and EMC principles and their application in hardware design - Experience with hands-on testing, debugging, and validation of electronic systems - Ability to lead technically and apply system-level thinking to complex engineering problems - Working knowledge of Python for analysis, testing, or tooling NICE TO HAVES: - Experience ensuring power integrity across mixed RF, high-speed, and high-power systems - Background in aerospace, satellite systems, or defense hardware development - Fundamental understanding of RF systems and their integration with electronics APPLICATION PROCESS - Recruiter screening - Hiring manager interview - Technical task - Technical panel interview - Final interview WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we will do our best to help. Apply now to start your ICEYE journey and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Dubai, United Arab Emirates Müller's Solutions is seeking a skilled Privileged Access Management (PAM) Engineer to design, implement, and manage PAM solutions, ensuring secure access to critical systems and compliance with policies. The ideal candidate has hands-on experience with Delinea products such as Secret Server, Privilege Manager (EPM), Remote Access Service (PRA), and capabilities in password management, session monitoring, and privileged account governance. They will collaborate with infrastructure, security, application, and operations teams to maintain PAM controls aligned with cybersecurity best practices. Key Responsibilities: Design, deploy, and maintain Delinea PAM solutions to secure privileged accounts across the enterprise. Develop and enforce privileged access policies ensuring compliance with security standards. Monitor access activities, analyze logs, and respond to security incidents. Collaborate with IT, security, and audit teams to implement access controls and workflows. Perform regular audits of privileged accounts to identify and mitigate risks. Provide technical support, training, and documentation for PAM tools and best practices. Integrate Delinea PAM with Microsoft Active Directory, Entra ID, LDAP, MFA, SIEM, and ITSM platforms. Automate account onboarding, configure APIs, connectors, and support scripting for PAM administration. Conduct discovery, onboarding, and migration of privileged accounts from legacy systems. Implement PAM controls aligned with cybersecurity frameworks; support audit and compliance efforts. Provide Level 2/3 support, troubleshoot issues, monitor platform performance, and participate in on-call duties. Develop HLD/LLD documentation, implementation guides, SOPs, and conduct knowledge transfer sessions. Requirements Requirements: Mandatory • Minimum 5-8 years of IT/Cybersecurity experience. • Minimum 3 years hands-on experience with Delinea PAM solutions. • Experience implementing PAM solutions in large enterprise environments. • Experience with Active Directory, MFA, and Identity integrations. • Experience onboarding privileged accounts across Windows, Linux, databases, network devices, and applications. Education • Bachelor's Degree in Computer Science, Information Technology, Cyber Security, or related field. Certifications (Preferred) At least one of the following: • Delinea Certified Administrator (Preferred) • Delinea Secret Server Certification • Delinea Privilege Manager Certification • Microsoft Certified Certifications • CISSP (Preferred) • CISM (Preferred) • Security+ (Preferred) Benefits 1- Attractive Package. 2- Family Benefits. 3- Visa. 4-Air Tickets.