Вакансии

Задачи: — строить и эксплуатировать масштабируемые сервисы инференса и production API. Требования: — опыт работы с машинным обучением, GPU, профилированием, инференсом, батчингом, API, контейнеризацией, Python, компьютерным зрением.

Задачи: — разработка, оценка и внедрение передовых методов 3D-реконструкции.

Компания Vultr ищет опытного инженера по GPU, который будет заниматься проектированием, оптимизацией, проверкой и масштабированием GPU-инфраструктуры для задач искусственного интеллекта. В обязанности входит работа с технологиями PCIe, GPU, NCCL, а также обеспечение высокой производительности и надежности систем. Кандидат должен иметь опыт валидации, отладки и автоматизации процессов, включая использование Python и Ansible. Знание сетевых технологий, высокопроизводительных вычислений (HPC) и операционной системы Linux также требуется. Предлагается удаленная работа с конкурентной зарплатой в диапазоне от 190 000 до 210 000 долларов в год.

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

Location: Aberdeen, United Kingdom W e are? A leading specialist engineering services company delivering integrated solutions for complex energy and infrastructure projects and operating assets. Our business is built on the belief that our people are what make EnerMech excellent. When we are thriving globally it's not just about investing in our infrastructure, service offering and technology, but by also investing in our people. The role? Due to continued growth a new role has arisen for a Project Engineer to join our Process & Industrial Services team here at EnerMech in Aberdeen. This is a staff onshore office based role. This role will be responsible for providing the day-to-day support to the client for the delivery of the contract and liaising with EnerMech field crew on a daily basis regarding maintenance/operations. The role will also involve attending client planning meetings to ensure mobilisation readiness and date compliance. You will also be asked to provide first line technical support for the work being carried out offshore. You are? To be successful for this role you will have demonstrable operational experience supporting client organisations with excellent safety behaviours and have a focus on customer satisfaction. You will have demonstratable experience within Process Services which will include but not be limited to; Nitrogen Pumping, Flange Management, Bolting, Leak Testing and Purging. You will hold strong commercial awareness with good technical awareness. Diversity & Inclusion At EnerMech we want to create a diverse and inclusive organisation and grow together to make a vibrant business. We are not there yet, but the desire is steadfast, so please consider a career with us in an organisation where differences in background, culture, education, working style and less obvious differences are respected and celebrated. Company benefits Generous holiday entitlement Pension scheme Private health cover Various staff discount schemes Canteen on site Employee referral scheme

Location: Netherlands; Mexico; Israel; United Kingdom; Portugal At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. And now we are looking for a Senior Silicon Physical Design Engineer to join us as part of our team. About the role Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. As a SoC Physical Design Engineer, you will collaborate with functional design, Design for Testing (DFT), architecture, and packaging engineers. In this role, you will solve technical problems with innovative micro-architecture and practical logic circuits solutions, while evaluating design options with optimized performance, power, and area in mind. The AI and Infrastructure team is redefining what’s possible. We empower customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. We're the driving force behind groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. Work Environment Fully remote role. Flexible schedule with participation in team ceremonies and cross-functional collaboration. As a qualified expert, You will Use problem-solving and simulation techniques to ensure performance, power, and area (PPA) are within defined requirements. Collaborate with cross-functional teams to debug failures or performance shortfalls and meet program goals in lab or simulation. Design chips, chip-subsystems, or partitions within subsystems from synthesis through place and route, and sign off convergence, ensuring that the design meets the architecture goals of power, performance, and area. Develop, validate, and improve Electronic Design Automation (EDA) methodology for a specialized sign off or implementation domain to enable cross-functional teams to build and deliver blocks that are correct by construction and ease convergence efforts. We’re looking for you if you have Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. 5 years of experience with System on a Chip (SoC) cycles. Experience with advanced design, including clock/voltage domain crossing, DFT, and low power designs. Experience in high-performance, high-frequency, and low-power designs. Bonus Points Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture. Experience with scripting languages such as Perl, Python, or Tcl. What’s in it for You Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture. Embrace the opportunity for personal and professional growth Take advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more. Feel cared about Be among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values.

Требования: — Практический опыт работы в технической поддержке L2, DevOps или системной инженерии веб-систем, связанной с устранением неисправностей в производственных средах, не менее 2 лет. — Доказанный практический опыт в области видеостриминга / OTT / медиа: устранение неисправностей в прямом эфире (RTMP ingest), файловом кодировании/транскодировании и рабочих процессах доставки. — Практическое понимание видеостриминговых протоколов (HLS, DASH), адаптивного потокового вещания (ABR), кодеков, контейнеров и распространённых паттернов ошибок воспроизведения. — Практический опыт диагностики браузера с использованием Chrome DevTools: проверка консоли, сетевых трасс, заголовков CORS, захвата HAR, анализ видеосегментов/манифестов и проблем с буферизацией. — Глубокое понимание концепций REST API, HTTP-методов/заголовков/кодов состояния и практический опыт отладки API (Postman, curl). — Отличные навыки работы с командной строкой Linux. — Практический опыт анализа журналов службы и проверки состояния pod/service в Docker и Kubernetes (kubectl). — Готовность к работе в нерабочее время (покрытие вызовов): с понедельника по пятницу с 00:00 до 05:30 CET, в субботу и воскресенье круглосуточно. — Уровень английского языка – Upper-Intermediate и выше. Задачи: — Обеспечение L2 технической поддержки в нерабочее время для корпоративных видеопотоков и рабочих процессов кодирования. — Управление жизненным циклом инцидентов от начала до конца: триаж, регистрация тикетов, глубокий анализ первопричин (RCA), внедрение обходных решений и разрешение проблем в рамках строгих SLA-целей. — Устранение неисправностей в интеграциях REST API: проверка конечных точек, аутентификации/токенах, заголовках, ошибках CORS-префлайтов и полезной нагрузки; воспроизведение повторяемых вызовов через Postman/curl. — Диагностика проблем веб-плеера (JS/TS) с использованием Chrome DevTools: проверка вкладок Console и Network, анализ буферизации, проверка наличия манифеста и сегментов (HLS, DASH). — Проверка конвейеров потокового вещания и кодирования: проверка состояния RTMP-ввода, исправность кодировщика, транскодирование конвейеров и адаптивная доставка с переменной скоростью передачи данных. — Чтение и анализ журналов контейнеров и сервисов через Docker и Kubernetes (kubectl logs, статусы подов/сервисов, события) в многооблачных средах (в основном GCP). — Исследование базовых проблем с сетью, прокси и шлюзами (TLS-сертификаты, HTTP/HTTPS, конфигурации Nginx/HAProxy). — Документирование хода инцидента и общение с клиентами в Zendesk/Jira, предоставление четких обновлений. — Эскалация сложных проблем до L3-инженеров с хорошо структурированным контекстом: журналы, шаги воспроизведения, рабочие гипотезы и собранные артефакты в хранилище объектов (S3/GCS). — Поддержание чистоты тикетов и соблюдение процедур передачи смен между дежурствами. Условия: — Работа в компании Andersen Kazakhstan Ltd. — Гибкий график. — Удаленная работа. — Частичная занятость. — Опыт работы не менее 2 лет. — Уровень английского Upper-Intermediate и выше. — Готовность к работе в нерабочее время (покрытие вызовов) по расписанию: с понедельника по пятницу с 00:00 до 05:30 CET, в выходные круглосуточно. — Персональные данные защищены в соответствии с правилами GDPR. — Возможность профессионального, финансового и карьерного роста. — Доступ к корпоративному обучающему порталу. — Компенсация за сертификацию (AWS, PMP и т.д.). — Частная медицинская страховка и компенсация за спортивные мероприятия. — Реферальная программа. — Возможность сменить проект и развить экспертизу. — Работа с лидерами в различных отраслях. — Возможность дополнительного заработка до 1000 EUR в годовом бонусе.

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. Take part in on-call or operational support where your team’s ownership model requires it. 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.

Location: Montreal, Canada 📍 Location: Montreal, Quebec, Canada 📄 Employment Type: Full-Time 🏢 Work Arrangement: Remote Opportunity for US and Canadian citizen and relocation assistance and bonus for European and UK candidates. 🚀 Start Date: Immediate 💰 Compensation: TBD -- based on skills and experience Important Screening Requirements Must be legally authorized to work in Canada . Must be eligible to obtain the required security clearance. Candidates may be based in the United States, Canada, or Europe , provided they meet work authorization and security clearance requirements. About the Role We are seeking an experienced EMC/EMI System Engineer (SME) to lead the analysis, testing, and validation of electromagnetic compatibility (EMC) and electromagnetic interference (EMI) for advanced satellite systems. In this role, you will provide technical leadership throughout the spacecraft development lifecycle, ensuring compliance with industry standards while collaborating with cross-functional engineering teams to deliver reliable, mission-ready satellite platforms. The ideal candidate has extensive experience in satellite or aerospace EMC/EMI engineering, system-level analysis, and technical leadership. Key Responsibilities Lead system-level EMC/EMI analysis for satellite and aerospace systems, including mission requirements, spacecraft cavity geometry, and DC/RF coupling effects. Perform conducted and radiated emissions and susceptibility (CE/CS, RE/RS) analyses to ensure compatibility with satellite and launch vehicle environments. Conduct magnetic field, surface charging, and internal charging analyses. Evaluate spacecraft panel shielding effectiveness and recommend design improvements. Develop, review, and oversee EMC/EMI test plans for system verification and validation. Collaborate with systems engineers, payload designers, and integration teams to ensure EMC/EMI compliance throughout the project lifecycle. Mentor junior engineers and provide technical leadership for EMC/EMI engineering activities. Prepare technical documentation and ensure compliance with applicable aerospace standards. Required Qualifications Bachelor's degree in Electrical Engineering or Aerospace Engineering (Master's or Ph.D. preferred). 7–10 years of experience in EMC/EMI analysis and testing for satellite or aerospace systems. Strong experience with: System-level EMC/EMI analysis Conducted and radiated emissions/susceptibility (CE/CS, RE/RS) Magnetic field, surface charging, and internal charging analysis Spacecraft panel shielding effectiveness EMC/EMI test plan development and validation Proficiency with EMC/EMI simulation and analysis tools such as CST and FEKO . Knowledge of satellite mission requirements, including frequency bands, payloads, and antenna systems. Familiarity with aerospace EMC standards, including: MIL-STD-461 MIL-STD-464 ECSS-E-ST-20-07C Strong analytical, problem-solving, communication, and leadership skills with the ability to work independently and mentor engineering teams. Preferred Qualifications Master's or Ph.D. in Electrical Engineering, Aerospace Engineering, or a related field. Experience supporting commercial satellite programs and regulatory compliance. Knowledge of spacecraft environmental effects, including surface and internal charging. Experience leading EMC/EMI test plan development and system validation activities. Proven experience providing technical leadership on satellite or aerospace engineering programs.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . We are looking for a talented and driven individual to be a key part of our Analytics Engineering team within the Data Science organization. We are looking for someone who can work closely with Data Scientists and Engineers across diverse areas of the organization (Consumer, Ads, and Marketing) to curate, develop, and deploy the right data and analytic tooling to drive Reddit’s product forward and provide a data and tooling foundation that will last decades. Your work will empower thousands of your colleagues to improve the user experience and grow our consumer base. Successful candidates have a strong track record of understanding and deeply caring about the purpose of data to support business goals, and can act as an effective conduit between Data Producers and Data Consumers. This role sits at the intersection of Data Science and Data Engineering, and the ideal candidate has skills, experience, and passion in both areas. Responsibilities: Be a key contributor and collaborator to the success of data quality, performance, reliability, and automation initiatives. Manage a portfolio of data products that deliver high-quality, trustworthy data Develop and maintain robust data pipelines and workflows for data ingestion, processing, and transformation. Work closely with engineering to ensure the quality and reliability of these data pipelines. Develop and implement data quality checks, conduct QA and implement monitoring routines Create and manage new data integrations across internal and external systems Create tools and applications for internal use that streamline data analysis and reporting. Drive widespread adoption of these tools and applications with a relentless focus on automation, consistency, and reliability. Serve as a thought partner for data scientists, engineering managers, and leadership on data foundations, communicating and shaping the data foundations roadmap and strategy for Reddit. Qualifications: Bachelor's degree in computer science or a quant educational field 3+ years of experience working with large-scale ETL systems (implementation, strategy, and maintenance), building clean, maintainable code and systems (Python preferred) in a production environment. Strong programming proficiency in Python, SQL, Spark, Scala, etc. Experience with data modeling, ETL and ELT concepts, and patterns for efficient data governance. Experience with manipulating massive-scale structured and unstructured data. Experience with data workflows (such as Airflow), data modeling, front-end or back-end engineering. Experience in data analysis and dashboard design. Deep understanding of technical and functional designs for relational and MPP Databases. Proven track record of cross-functional execution and collaboration. Agentic AI-assisted development experience. Excellent communication skills to collaborate with cross-functional stakeholders at all levels of the company, of differing levels of technical acumen. Self-starter, ability to work independently and autonomously, as well as part of a team. Check out our r/RedditEng post to learn more about the team, and what we do: https://www.reddit.com/r/RedditEng/comments/1mnmf71/analytics_engineering_reddit/ Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-Remote Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $164,200 — $229,990 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: New Jersey, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. DC Facilities Engineer Level of Responsibility: Independently operates, maintains, troubleshoots, and takes end-to-end ownership of critical power, critical cooling, liquid cooling, and DCIM/BMS infrastructure systems; participates in incident management and commissioning activities; and mentors Associate DC Facilities Engineers. Role profile: This is a critical role within Nebius data center operations. A fully proficient infrastructure engineer who independently manages and troubleshoots critical power and critical cooling systems across the site and takes ownership of assigned engineering tasks from start to finish. Participates in incident management activities, supports site commissioning and build reviews, and contributes to ensuring all engineering work meets Nebius SLAs and standards. Enforces safe working practices, collaborates with facilities, network, and technician teams, and mentors Associate DC Facilities Engineers toward independent operation. Core responsibilities Monitor and contribute to the tracking of critical environment maintenance and repair for assigned service lines to Nebius SLAs; identify and escalate developing faults before they impact service uptime. ndependently operate, monitor, and troubleshoot critical power distribution infrastructure including UPS systems, PDUs, RPPs, and in- rack busbar power systems. Manage and maintain critical cooling infrastructure including CRAHs, CRACs, CDUs, and RDHx; perform capacity checks and leakage inspections. Participate in incident management for infrastructure-impacting events; support root-cause analyses, document findings, and contribute to CAPA execution under the direction of the Senior DC Facilities Engineer. Operate and administer DCIM and BMS platforms; build and maintain dashboards, alerts, capacity reports, and infrastructure records. Support deployment and commissioning of GB-scale liquid-cooled rack infrastructure including direct liquid cooling (DLC) systems, manifolds, and CDU connections. Perform and own preventive maintenance tasks for all critical power and critical cooling systems; maintain accurate maintenance logs and compliance records. Participate in site reviews, design reviews, and commissioning activities; prepare and review technical reports to document findings.and communicate results. Enforce Nebius critical power and critical cooling safety procedures; act as safety lead for engineering work orders on live. infrastructure. Collaborate with facilities, network, and technician teams on infrastructure changes, capacity expansions, and major deployments. Support adherence to Nebius standards and policies through documentation review and active participation in commissioning and design activities. Contribute to vendor and contractor coordination by supporting scheduling, site access, and execution of work per Nebius expectations and safe-working practices. Actively mentors and trains Associate Associate DC Facilities Engineers; guides them through systems operation, safe working practices, and structured skill development toward independent operation. Expected capabilities / expectations Working proficiency across all critical power systems: UPS, PDU, RPP, in-rack busbar, and generator interfacing. Hands-on experience with critical cooling systems: CRAH/CRAC, CDU, RDHx, and water-side infrastructure including leak detection. Competent DCIM/BMS administration: alert management, capacity modeling, and dashboard reporting. Developing knowledge of GB rack liquid cooling technology, DLC manifolds, and heat rejection infrastructure. U.S. Data Center Career Framework - Technical Career Framework Ability to participate in and support incident management activities including RCA and CAPA documentation. Strong documentation discipline: change records, maintenance logs, capacity data, and incident write-ups. Clear and confident communication with facilities, network, and vendor teams during changes and incidents. Core Physical Requirements Ability to stand and remain on your feet for extended periods, typically four or more consecutive hours during active shift operations. Ability to safely lift, carry, and position equipment weighing up to 50 pounds unassisted, and heavier loads with appropriate team-lift protocols or mechanical aids. Comfortable working at heights including ascending and descending ladders, raised platform equipment, and elevated data center infrastructure. Ability to work in confined spaces such as under raised floors, within enclosed rack enclosures, and in cable management pathways. Comfortable working in environments with variable temperatures, including cold aisle containment zones and active cooling infrastructure. Manual dexterity sufficient to handle small form-factor components, precision cabling, and fine connector installations. Visual acuity sufficient to read equipment labels, small-form-factor interface indicators, and detailed wiring diagrams in variable lighting conditions. Ability to push or pull equipment carts, server sleds, and wheeled infrastructure weighing up to 500 pounds on level surfaces. On-Call Requirement This role includes on-call participation to respond to after-hours critical power and critical cooling events, infrastructure alarms, and urgent maintenance requiring prompt engineering response. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE ROLE As a Research Engineer, GPU performance, you will sit at the heart of that spectrum: your low-level work directly determines how fast our frontier models can be trained and served. Working hand-in-hand with Research Scientists, you'll make every GPU count. Mistral AI is hiring an expert in pushing large language model's GPU utilization and performance to their limits.. In this role, you will own the performance of our models end-to-end: writing the low-level code that extracts the maximum capacity from high-end hardware, and rethinking model architectures so they run efficiently at scale. WHAT YOU WILL DO - Develop low-level code that takes full advantage of high-end GPUs and maxes out their capacity — from custom kernels to memory-layout and communication optimisations. - Rethink parts of the generative model architecture to make them more suitable for efficient inference, in collaboration with Research Scientists. - Integrate low-level efficient code into a high-level MLOps framework, so that optimisations benefit every training run and deployment rather than a single experiment. - Profile, benchmark and squeeze performance out of large-scale training and inference on thousands of GPUs. - Model LLM execution on various GPUs with high fidelity to assess hardware usage and build serving performance estimates. WHAT WE'RE LOOKING FOR - High technical competence for writing custom low-level kernels and pushing GPUs to their limits. - High expertise in the distributed computation infrastructure of current-generation GPU clusters. - Overall understanding of the field of generative AI; knowledge of, or interest in, fine-tuning and using language models for applications. - Strong software-design instincts: testing, code review, CI/CD. - Self-starter, low-ego, collaborative. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: US, San Diego, CA 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 an Autonomy Engineer focused in VLA Pre-training, you will work on all aspects of training capable policies. You'll pre-train base models on a diverse, multi-embodiment corpus of trajectories, fine-tune policies to excel at specific tasks, shape data collection processes, and explore effective ways to generate and use synthetic data. This is primarily a deep learning role, so we're looking for experience solving real-world problems with modern neural networks. Robotics experience isn't strictly required, but if you're coming from outside the field, be prepared to get up to speed on a new domain quickly.   WHAT YOU'LL DO - Post-train policies via behavior cloning and RL; own the full loop from data to deployment. - Partner with the Data Collection team to drive collecting new data: specify what good data looks like, identify failure modes, ensure diversity and coverage. - Work closely with external partners to ensure steady supply of high-quality pretraining-scale data. - Run pre-/mid-/post-training on VLA stack; explore new modalities and architecture changes. - Build and maintain continuous pipelines: ingest synthetic data and teleop logs, version them, apply weak‑supervision labelling, curate balanced datasets, and auto‑surface fresh failure cases into retraining. - Work with MLOps & Data Platform teams to scale distributed training and optimize models for real‑time edge inference. WHAT WE'RE LOOKING FOR - 3+ years building deep‑learning systems (industry or research) with shipped models or published artifacts to show for it. - Deep hands‑on experience with at least one of: LLMs, VLMs, or image/video generative models — architecture, training, and inference. - Experience with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training strategies. - Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code. - Familiarity with modern software engineering practices. - You document experiments clearly and communicate trade‑offs crisply. NICE TO HAVE - Robotics or autonomous driving experience. - Experience applying RL to LLMs or robotics. - Experience with VLA (vision-language-action) models. - Proven productization of deep nets (latency/throughput constraints, telemetry, on‑device optimization). - Publications at top-tier deep learning conferences or equivalent open‑source contributions. - Familiarity with OpenVLA, Physical Intelligence (π) models, or similar open source VLA frameworks. 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. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with employer match. - Equity included–we believe builders should share in what they build. - 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 California, the expected base salary range is $180,000–$300,000 USD per year; your placement in that range depends on how your experience maps to our internal leveling.

Задачи: — создавать AI-агентов и платформы для них; — строить MLOps-инфраструктуру; — работать с данными для ML. Требования: — опыт работы в роли MLOps Engineer, Data Engineer или Python ML от 3,5 лет; — production-опыт с фреймворками MLOps: Kubeflow, MLflow, Airflow для оркестрации, понимание их интеграции в CI/CD пайплайны; — опыт работы с Docker и Kubernetes (в контексте развертывания моделей как сервисов); — опыт работы с одним из major cloud-провайдеров (желательно GCP или AWS/Azure с пониманием hybrid-cloud); — умение работать с большими данными, опыт с Greenplum или аналогичными MPP-системами (Teradata, Exasol); — знание распределенных вычислений (Spark); — опыт работы с LangChain/LlamaIndex, FastAPI, знание фреймворков для работы с LLM (Hugging Face, vLLM и т.д.); — отличные знания Python, SQL на очень высоком уровне для работы с data vault; — знания Git, GitLab CI/CD. Условия: — хорошая зарплата, уровень обсуждается индивидуально, есть доплаты за менторство и профактивности; — долгосрочные проекты от российских заказчиков, возможность менять направления, прозрачная система Performance Review; — релокейт между офисами, выбор формата работы (удалённо, офис, гибрид), адаптация для новых сотрудников; — доступ к корпоративному порталу, митапам, конференциям (и как гость, и как спикер); — социальный пакет: ДМС со стоматологией, частичная компенсация спорта, бесплатный английский, оплачиваемый отпуск и больничные; — корпоративная жизнь: тимбилдинги, детские праздники, внутренние мероприятия; — офисы в Москве, Санкт-Петербурге, Казани, Нижнем Новгороде, Самаре.

Location: Canada, Vancouver, BC 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 Test and Validation Engineer at Humanoid, you will be responsible for bringing new hardware subsystems into a functional, controllable, measurable, and integration-ready state, including calibration, tuning, characterization, and modeling across actuators, hand/gripper mechanisms, and integrated robotic assemblies. You will work closely with mechanical design, firmware, controls, manufacturing, and system integration teams to diagnose unstable behavior, define the right parameters and models, and accelerate hardware maturity for upstream controller and software development. WHAT YOU’LL DO - Design, plan, and execute test procedures for actuators, mechanisms, grippers, and robotic hands. - Build and maintain test fixtures and test rigs for dynamic and endurance testing. - Tune and calibrate sensors like encoder and control loops in the driver, including current, velocity, and position control, and verify stability conditions. - Develop subsystem characterization methods and identify key parameters such as torque constant profile, friction, inertia, backlash, stiffness, thermal behavior, and efficiency. - Design, plan, and execute test procedures for actuators, mechanisms, grippers, and robotic hands. - Build and maintain test fixtures and test rigs for dynamic and endurance testing. - Develop automated test systems (hardware + software) to validate motor performance, force output, back drivability, and safety limits. - Conduct lifecycle, stress, thermal, and environmental tests on components and subsystems. - Analyze test results, create test reports, and drive design feedback loops with engineering teams. - Collaborate with design engineers to define testable requirements, tolerances, and performance metrics. - Support incoming QC, assembly-level verification, and field failure diagnostics. - Maintain test documentation, protocols, and results databases. - Work closely with control and firmware teams to evaluate actuator behavior in closed-loop scenarios. WE’RE LOOKING FOR - Master’s or PhD degree in Mechanical, Mechatronics, Electrical Engineering, Robotics, or a related field. - 5+ years of experience with robotic hardware, controls, actuator characterization, system commissioning. - Hands-on experience with motors, actuators, encoders, force/torque sensors, and hardware instrumentation. - Strong troubleshooting ability and comfort working through ambiguous or unstable hardware problems. - Experience with calibration, parameter identification, modeling, and mathematical optimization. - Proficient with tools such as Python (preferred), MATLAB, or C++ for data capture, analysis, and model fitting using OOP(Object Oriented Programming). - Comfortable with mechanical tools, instrumentation, and prototyping in lab environments. - Strong understanding of safety testing, failure modes (FMEA), and reliability analysis. - Excellent documentation, communication, and cross-functional collaboration skills. - Familiarity with data acquisition systems (DAQ) and tools such as LabVIEW, Python, or MATLAB. BONUS QUALIFICATIONS - Experience with strain-wave gear, planetary gear, or custom robotic actuators. - Experience with robotic hands, grippers, underactuated mechanisms, or tendon-driven systems. - Experience with and complete understanding of commercial BLDC drivers. - Familiarity with low-level control development, parameter identification, or dynamic modeling for electromechanical systems. - Knowledge of EtherCAT, EtherNET, or related motion control DS402. - Experience supporting integrated arm or leg bring-up on larger robotic platforms. WHAT WE OFFER - Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support. - Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. - Paid end-of-year shutdown: annual company-wide holiday closure spanning Christmas through New Year’s Day. - Competitive equity: stock options with meaningful 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.

Location: Canada, Vancouver, BC 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 General Mechanical Design Engineer at Humanoid, you will own the design and development of key mechanical subsystems, including robotic joints, structural assemblies, and dynamic mechanisms that enable humanoid mobility and manipulation. This role requires strong fundamentals in mechanical design, system integration, and GD&T (ASME Y14.5), as well as a passion for building complex hardware systems. You will collaborate closely with robotics, controls, electrical, and software teams to rapidly prototype, test, and deploy robotic hardware. Your work will directly influence the performance, reliability, and scalability of our humanoid robots.   WHAT YOU’LL DO - Design and develop mechanical systems for humanoid robots, including structural components, joints, and robotic linkages - Create 3D CAD models and production drawings using SolidWorks / NX, applying GD&T (ASME Y14.5) to ensure precision and manufacturability - Design robotic mechanisms and linkages optimized for strength, weight, efficiency, and durability - Select materials and manufacturing methods that balance performance, weight, cost, and scalability - Lead rapid prototyping and iteration, using tools such as 3D printing, CNC machining, and rapid fabrication - Design components for high volume production, designing for processes like casting, injection moulding, and sheet metal - Work closely with electrical, controls, and software engineers to integrate motors, sensors, and embedded systems into robotic platforms - Conduct mechanical testing and validation to verify performance, durability, and system reliability - Perform design reviews, risk assessments, and safety analysis to ensure robust robotic systems - Generate and maintain technical documentation, including engineering drawings, specifications, and bill of materials (BOM) - Own mechanical subsystems from concept through prototyping, testing, and deployment. WE’RE LOOKING FOR - 5+ years of professional experience in mechanical design for robotics, electromechanical systems, or complex hardware products - Bachelor’s or Master’s degree in Mechanical Engineering, Robotics, Mechatronics, or a related field - Strong fundamentals in mechanics, statics, dynamics, thermals, and material science - Proficiency with SolidWorks, NX or similar CAD tools - Experience applying GD&T based on ASME Y14.5 - Experience designing precision mechanical assemblies or mechanisms - Familiarity with manufacturing processes such as CNC machining, additive manufacturing, and injection molding - Hands-on experience building, assembling, and testing mechanical prototypes - Strong analytical and problem-solving skills - Ability to work effectively in a fast-paced, multidisciplinary engineering environment.   BONUS QUALIFICATIONS - Experience developing robotic or mechatronic systems - Experience working on humanoid, legged, or mobile robots - Experience performing FEA or structural simulations - Experience with design of cooling systems and optimizing thermal performance - Experience designing lightweight structural systems - Familiarity with robotic safety standards such as ISO 10218 - Familiarity with robotic actuators, gear trains, and transmission systems - Experience in robotics, aerospace, automotive, or advanced hardware startups.   WHAT WE OFFER - Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support. - Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. - Paid end-of-year shutdown: annual company-wide holiday closure spanning Christmas through New Year’s Day. - Competitive equity: stock options with meaningful 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 Vancouver, the expected base salary range is $110,000 – $150,000 CAD per year; your placement in that range depends on how your experience maps to our internal leveling.