Вакансии

Планировать и сопровождать релизы AI‑агентов и связанных сервисов. Анализировать требования и технические постановки, оценивать тестовое покрытие.

Разрабатывать и автоматизировать модель расчёта маршрутов отгрузок. Считать количество машин по каждому маршруту и определять наиболее выгодные маршруты.

участие в создании и поддержке процессов CI/CD. мониторинг состояния серверов и прикладных сервисов.

поддержка работоспособности текущих сервисов; участие в запуске новых проектов;

Анализ внутренних показателей маркетплейсов; Работа с базами данных: написание запросов с помощью Power Querty, Power Pivot;

Разработкой AI агентов на основе современных генеративных сеток (GigaChat и OpenSource); Разработкой системы офлайн- и онлайн-метрик для оценки качества LLM-приложений;

Построением ML-моделей прогноза продаж и клиентопотока в отделениях Сбера.

Интеграция новых блокчейн сетей/токенов. Сопровождение текущего кода.

Задачи: — Освоить калибровку, построение карты помещения и сценарии перемещения по заданным точкам. — Настроить удалённый доступ для диагностики (VPN, Tailscale, SSH). — Подготовить первого робота — гуманоида AgiBot A3 — к передаче в офис клиента-партнёра: протестировать, настроить сценарии, обеспечить сопровождение на старте эксплуатации. — Разобраться с персонализацией AgiBot A3, настройкой его сценариев и т.д. — Настроить ПО для робо-руки Rotrics DexArm (Starter Kit). — Изучить документацию и инструменты управления робот-собакой Xiaomi, Unitree Go2, гуманоидными роботами Unitree G1 и Noetix Robotics Bumi Standard. — Работать с остальным и обновляющимся парком роботов компании, создавать сценарии под мероприятия, участвовать в развитии услуги внедрения роботов для сторонних владельцев. Требования: — Понимание робототехники и техническая база (опыт работы с роботами, Linux). — Знание Python, C++, ROS/ROS2. — Самостоятельность выше среднего и инициативность; обучение конкретному стеку, SDK и настройкам моделей будет предоставлено. — Подойдёт студент старших курсов технического вуза или недавний выпускник профильного направления (робототехника, мехатроника). Условия: — Частичная занятость, 30–40 часов в месяц, свободный график. — Оплата по договорённости (ориентир от 50 000 ₽/мес), оформление — самозанятость (ИП или другие варианты обсуждаются индивидуально). — Доступ к современным роботам, практический опыт и профессиональное развитие внутри растущего направления.

разработка интеграционных тестов (Python) для встраиваемого ПО и отладка их на стендах; разработка методик тестирования ПО;

разработка интеграционных (Python) и модульных (Си) тестов для встраиваемого ПО и отладка их на стендах; разработка симуляционных тестов моделей (SCADE);

• Разработка backend для AI-агентов. • Интеграция с API существующих АС.

Кастомизация текущих и создание новых пайплайнов для мобильной разработки (iOS, Android). Подготовка macOS-машин и настройка ранеров.

Обязанности: — Анализировать системные и бизнес-требования для продукта, оценивать их тестируемость и полноту. — Анализировать и проверять дефекты, корректно оформлять их в баг-трекинговой системе (Eva) с детальным описанием шагов воспроизведения. — Создавать и генерировать отчёты о тестировании для руководства и команды разработки. — Разрабатывать тест-планы и тест-кейсы, поддерживать тестовую документацию в актуальном состоянии в системах Eva и TestIT. — Проводить функциональное, регрессионное, интеграционное и приёмочное тестирование. — Обеспечивать качество на всех этапах жизненного цикла продукта: от анализа требований до вывода на продуктивную среду. — Участвовать в разборе инцидентов на продуктивной среде, анализировать логи и предлагать меры по предотвращению подобных ситуаций. — Взаимодействовать с разработчиками, аналитиками и менеджерами продукта для уточнения требований и быстрого решения проблем. — Участвовать в планировании релизов и оценке трудозатрат на тестирование. Требования: — Высшее техническое образование. — Опыт работы в ручном тестировании от 3 лет. — Продвинутые знания теории тестирования: понимание видов и типов тестирования, уровней тестирования, принципов тест-дизайна. — Понимание подходов к разработке ПО (Waterfall, Agile, Scrum, Kanban). — Опыт тестирования API и понимание логики работы микросервисной архитектуры. — Знание клиент-серверного взаимодействия, сетевых протоколов (HTTP/HTTPS, TCP/IP, WebSocket) и кодов ответа. — Базовое понимание языков программирования (Java или Python). — Умение работать с базами данных и писать простые SQL-запросы для проверки данных. — Базовое понимание мобильных операционных систем (iOS, Android) и особенностей тестирования мобильных приложений. — Знание JMeter будет преимуществом (для проведения простых нагрузочных сценариев). — Знакомство с Agile-методологией приветствуется. Условия: — Гибридный график работы 5/2 с 9.00, 9.30 или 10.00, в пятницу сокращенный рабочий день на 1 час 15 минут. — Официальная заработная плата обсуждается с успешными кандидатами на собеседовании. — Испытательный срок 3 месяца. — Льготная ипотека после 6 месяцев работы. — ДМС со стоматологией + НС с возможностью подключить родственников и гибкой настройкой услуг после испытательного срока. — Компенсации (фитнес, английский, участие в спортивных мероприятиях, мат.помощь, обучение). — Корпоративная пенсионная программа. — 100% скидка на связь СберМобайл. — Комфортный офис рядом с метро Белорусская.

Location: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE At Sentry, Support is an engineering discipline. Our customers are developers, and they expect answers from people who can read their stack trace, open the SDK source, and tell them what's actually wrong. We're hiring a Senior Manager to lead Support Engineering. You'll run the team that handles everything from a single developer's SDK question to a production incident at one of our largest enterprise customers. You'll also help drive how we use AI in support: what systems are used, how they best help customers, enable the teams, and how we know the answers they give are right and forward looking. This is a hands-on leadership role. You'll manage people, set the support strategy, get face to face time with customers, while also getting into tickets when it matters. IN THIS ROLE YOU WILL Lead and grow the team - Manage and coach a team of Technical Support Engineers - Set clear expectations for technical depth, response quality, and ownership, and give direct feedback - Design a coverage model that works across time zones, including on-call and escalation paths - Build career paths for Support Engineers who want to go deeper technically, move into management, or move into different teams and practices Own support outcomes - Own and report the team's core metrics: CX, time to resolution, escalation rate, and more - Use support conversations as a signal: find the top drivers of tickets and get them fixed in the product, the docs, internal operations, or the SDKs, not just answered faster Run AI-assisted support - Own the roadmap for our support agents: which request types they handle, what context they need, and when they hand off to a person - Set the quality bar for agent answers and the process for catching incomplete ones - Decide where automation is worth building and where it isn't, based on data Handle escalations and partner across Sentry - Run the escalation process with Engineering: make sure bugs reach the right team with a reproduction and clear impact, and that customers hear back - Be the support lead on high-stakes enterprise issues, working with Customer Success, Solutions Engineering, and Sales - Bring a clear picture of customer pain to Product and Engineering, backed by numbers YOU'LL LOVE THIS JOB IF YOU - Think great support is an engineering problem, not a staffing problem - Want to build the team and the systems at the same time - Can debug a tricky SDK issue yourself and also explain to a VP why their incident took four hours - Would rather fix the cause of 200 tickets than answer them faster - Have strong opinions on where AI helps in support and where it makes things worse, and be willing to discuss this at length. QUALIFICATIONS - 8+ years in technical support, support engineering, or software engineering at a SaaS or developer tools company - 3+ years managing technical support engineers, including hiring and growing a team - Technically credible with senior engineers: comfortable reading code in at least a few of Python, JavaScript/TypeScript, Java, or Ruby, and debugging across frontend, backend, and infrastructure - Solid understanding of distributed systems, APIs, and how observability tools (errors, tracing, logs) fit into them - Hands-on experience running AI or automation in a support org, and a clear view of its failure modes - Track record of using support data to drive product and process changes - Clear, direct written communication with customers, executives, and engineers Bonus - Experience at a developer tools or observability company - Former software engineer - Managed a team spread across multiple time zones - Open source contributor or maintainer The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $160,000 to $180,000. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Cloud Platform Engineer An overview of this role As a Cloud Platform Engineer on the Runway team, you'll help design, build, and maintain the infrastructure and developer tooling that powers our engineering organization. You'll advance our Kubernetes-based platform, mature our GitOps practices, and expand infrastructure as code adoption across the business. This hands-on role brings together infrastructure, automation, and developer experience, helping application teams deploy and operate their services. What you’ll do Operate and improve production Kubernetes clusters across cloud environments, managing upgrades, scaling, and reliability throughout the cluster lifecycle. Own and extend Argo CD-based GitOps workflows, maintaining ApplicationSets, managing sync policies, and enforcing deployment standards across environments. Write, review, and maintain reusable Terraform modules, with clear practices for state management and drift detection. Monitor platform health, respond to incidents, conduct post-mortems, and improve availability, performance, and observability. Collaborate with application teams to onboard services, and create documentation, runbooks, and self-service tooling that improves developer productivity. Implement role-based access control, network policies, and secrets management to meet infrastructure security and compliance requirements. Integrate platform capabilities with continuous integration and continuous delivery (CI/CD) pipelines to support end-to-end delivery workflows. What you’ll bring Experience operating Kubernetes in production and working with at least one major cloud provider: Amazon Web Services, Google Cloud, or Microsoft Azure. Experience with Argo CD or comparable GitOps tooling, such as Flux. Proficiency in Terraform for cloud infrastructure provisioning, including remote state, workspaces, and module design. Ability to write scripts and automation in Python, Bash, or Go. Familiarity with Helm for Kubernetes package management. Understanding of networking fundamentals, including the Domain Name System (DNS), load balancing, ingress, and service mesh concepts. Clear written and verbal communication, with the ability to document systems and collaborate across teams. Optional: experience with managed, multi-cluster, or multi-region Kubernetes, service meshes, policy as code, observability, or Kubernetes-native infrastructure as code; open source or platform tooling contributions; or relevant certifications. About the team The Runway team builds and maintains infrastructure and developer tooling for GitLab's engineering organization. Its work centers on a Kubernetes-based platform, GitOps delivery practices, and infrastructure as code. The team collaborates with application teams to onboard services and improve developer productivity through documentation, runbooks, and self-service tooling. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $115,000 — $194,000 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: US, Boston, MA 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 As a Senior Electrical Engineer on the Hardware team in Boston, you’ll design and develop the electrical systems that bring advanced humanoid robots to life. This is a hands-on role where you’ll work across the full spectrum of robotics electrical engineering—from electrical system designs, electromechanical integrations, PCB layouts, firmware and device programming, to hands-on debugging in the lab. Your work will span from small test systems to fully integrated prototype robots, and provide you with a unique opportunity to have a big impact. WHAT YOU’LL DO - Design Electrical Systems for Robotics: Develop electrical systems that power and control Humanoid’s advanced robots, with a focus on sensors, compute architecture, and power systems. - Conduct Circuit Analysis and Debugging: Use strong circuit analysis fundamentals to review electrical designs, conduct failure analysis, and troubleshoot complex electrical systems. - PCB Design and Schematic Capture: Create detailed schematics and PCB layouts using Altium, ensuring the designs meet the performance, reliability, and manufacturability standards required for robotics. - Develop Embedded Firmware: Write firmware in C and HDL to program microcontrollers, DSPs, and FPGAs, testing and refining embedded designs to ensure optimal performance. - Leverage Linux for Robotics: Utilize your knowledge of command-line Linux to configure networks, run software, and interface with robots for testing and validation. - Hands-On Lab Work: Use a variety of lab equipment, including oscilloscopes, DMMs, power supplies, programmable loads, and spectrum analyzers, to validate designs and solve complex electrical engineering challenges. - Collaborate Across Teams: Work closely with mechanical engineers, software developers, and other team members to integrate electrical systems with robotics hardware, ensuring seamless operation and performance. WHAT WE'RE LOOKING FOR - Experience with high-speed data technologies such as PCIE, Ethernet, EtherCAT and/or other communication protocols in PCB-based devices and systems. - Experience developing power regulation and distribution systems, including particular expertise with short-circuit protection systems, switching power supplies, and creative power management technologies. - Proficiency with PCB design tools (e.g., Altium) for schematic capture and layout. - Familiarity with embedded programming, including C, HDL, and other relevant languages for microcontrollers, DSPs, and FPGAs. - Working knowledge of circuit simulation, analysis, and debugging techniques, including the use of oscilloscopes, power supplies, and spectrum analyzers. - Experience with Python, C++, LabView, or MATLAB for automation and testing. - Knowledge of SolidWorks or similar mechanical CAD tools. - Familiarity with Verilog or VHDL for hardware design and simulation. - Experience in building Linux kernels and modifying or writing device drivers. Please note: few people will check every single box. If you’ve got solid electrical engineering fundamentals and strengths in some of these areas, we’d love to hear from you! WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Generous time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with a 4% employer match. - Meaningful equity with upside as we scale - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives. For this role in Massachusetts, the expected base salary range is $160K–$215K USD per year; your placement in that range depends on how your experience maps to our internal leveling.

Задачи: — Установление и поддержание отношений с разработчиками и техническим сообществом. — Создание контента (технические статьи, руководства, видеоуроки) для привлечения разработчиков к нашей платформе. — Проведение вебинаров, хакатонов и других мероприятий для продвижения технологий компании. — Участие в технических конференциях, выступления с презентациями. — Помощь разработчикам в интеграции и использовании нашего API/SDK. — Сбор обратной связи от сообщества для улучшения наших продуктов. — Работа в тесной связи с командами маркетинга, разработки и продуктового менеджмента. Требования: — Опыт работы с блокчейн-технологиями и понимание принципов децентрализованных систем. — Умение писать качественные технические материалы (руководства, документацию, статьи). — Отличные коммуникативные навыки, как устные, так и письменные. — Опыт проведения технических мероприятий (вебинары, воркшопы, хакатоны). — Знание хотя бы одного языка программирования (например, JavaScript, Python, Rust, или Solidity). — Уровень английского языка: Upper-Intermediate и выше. Условия: — Конкурентоспособную заработную плату от $4800 до $7000 в месяц, в зависимости от опыта и квалификации. — Возможность работать в инновационной блокчейн-компании. — Полностью удалённый формат работы и гибкий график.