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Location: Canada Role overview: We are seeking a GNC System Engineer for design, integration, verification, and operational support of GNC subsystems for our current and next-generation remote sensing and communications satellites. The role will require to design the complete subsystem, from algorithm development through hardware implementation, verification, and on‑orbit operation support. The role requires deep expertise in orbital dynamics, attitude‑determination & control, plus real‑time FSW definition and integration, and will work closely with subsystem and mission operations teams throughout the satellite life-cycle. Tasks summary: Architecture Concept & Requirements • Derive GNC functional, performance, and safety requirements (pointing accuracy, slew rate, orbit‑maintenance ΔV, fault‑tolerance) from mission level requirements. • Produce System Requirements, Interface Control document (ICD), and Description Document. • Perform requirement management and maintain bidirectional traceability throughout the project lifecycle. Modelling & Trade‑Study • Conduct trade studies on sensor suites and actuator families. • Perform high‑fidelity dynamics simulations (Matlab/Simulink, STK) to meet pointing requirements, maintain error budgets, control‑law stability, fuel consumption, and survivability margins. Algorithm Development • Design and implement attitude‑determination algorithms and orbit‑determination solutions. • Develop control laws for 3‑axis stabilization, slew maneuvers, station keeping algorithms • Validate algorithms with Monte‑Carlo analysis, worst‑case scenarios, and support SIL/HIL testing on avionic test bench. Cross‑Functional Coordination, Stakeholder & Program Interaction • Translate algorithms into FSW requirements running on real‑time operating systems. • Collaborate with the C&DH and FSW teams to implement TM/TC, schedulers and FDIR logic for GNC. • Present technical status, risk analyses, and trade‑study results to senior management. • Negotiate and maintain ICDs with subsystems. • Support B&P (Phase 0 & pre-phase A). Hardware Selection & Design • Specify sensor and actuator hardware, perform interface definition (electrical, mechanical, thermal) and conduct trade on redundancy architectures. • Work with structures and thermal engineers to ensure proper mounting, thermal paths, and vibration survivability of GNC hardware aligning with payload requirements. • Review harness routing and power distribution for GNC electronics. Integration & Verification (IVV) • Author Verification Plans, Test Matrices, and Validation Procedures for unit, subsystem, and spacecraft level GNC tests. • Lead functional tests: sensor calibration, actuator command‑response, closed‑loop attitude‑control on testbeds, and on‑orbit checkout sequences. • Conduct failure mode and effects analysis (FMEA), fault tree analysis (FTA), and reliability prediction. Technical Leadership & Mentorship • Mentor, guide junior engineers and interns. • Act as technical liaison with customers, partners and external vendors • Act as Continuous Improvement stakeholder • Contribute to Client’s knowledge‑base, process enhancements, and standards. Configuration, Documentation & Standards Management • Maintain GNC standards (sensor/actuator interface, filter design, control‑law documentation). • Ensure all artefacts, analysis, software, deliverables and documentations are version controlled in PLM environment. • Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.). • Support Technology Road‑Mapping & Innovation On‑Orbit & Operations Support • Support procedure developments (detumble, orbit‑maintenance, safe‑mode…etc.). • Provide real‑time GNC support during launch, early‑orbit checkout, and contingency events. • Analyse on‑orbit telemetry, update filter parameters, and generate performance reports. • Support SOOH development and associated operator training. Required Qualifications: • B.Sc. in Electrical Engineering, Aerospace or Physics, (M.Sc. preferred), focused on flight dynamics, control theory, or navigation with 10+ of GNC/AOCS experience on LEO/MEO/GEO platforms. • Orbital mechanics, attitude dynamics, and control-law design (classical and modern optimal control). • Proficiency with navigation sensors and actuators. • Experience implementing real-time filtering and control algorithms in embedded code • Strong understanding of aerospace system engineering fundamentals. • Hands-on individual who can support systems integration processes and capability to test systems and resolve problems. • Experience with Confluence and JIRA. • Demonstrated capability to efficiently work with little supervision. • Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity. • Demonstrate excellent written and verbal communications skills in English & French work environment.

Neoai IT Center izlayapti mutaxassislarni bir nechta yo'nalishlarda: backend dasturlash (python, Django, Fastapi, Node.js, Express.js, Java, Spring Boot, PHP, Laravel, Rest API, Postgresql, Mysql, Mongodb, Git, Docker), frontend (HTML, CSS, JavaScript, TypeScript, React, Next.js, Vue.js, Angular, Tailwind CSS, Bootstrap, Git), mobil dasturlash (Dart, Flutter, Kotlin, Java, Swift, React Native, Firebase, Android Studio, Xcode, Git), UX/UI dizayn (Figma, Adobe XD, Photoshop, Illustrator, Figjam, UI Design, UX Research, Wireframing, Prototyping, Design System), kiberxavfsizlik (Linux, Python, Bash, Networking, TCP/IP, Wireshark, Nmap, Burp Suite, Metasploit, OWASP, Git, Docker), data science (Python, Numpy, Pandas, Matplotlib, Seaborn, Scikit-learn, TensorFlow, PyTorch, SQL, Jupyter Notebook, Git), data analitika (Python, Pandas, Numpy, SQL, Excel, Power BI, Tableau, Matplotlib, Seaborn, Jupyter Notebook), sun'iy intellekt (Python, PyTorch, TensorFlow, Keras, Scikit-learn, Hugging Face, OpenAI API, Langchain, Numpy, Pandas, Git, Docker), robototexnika (Python, C++, Arduino, ESP32, Raspberry Pi, ROS, Matlab, Arduino IDE, OpenCV, Sensors, Git). Ish joyi Toshkent shahrida, ish vaqti 3 soat, maosh 4-5 million so'm. Vazifalar: o'quvchilarga zamonaviy IT texnologiyalarini nazariya va amaliyot asosida o'rgatish, darslarni amaliy loyihalar va real vazifalar bilan tashkil etish, o'quvchilar bilan individual ishlash va ularning rivojlanishini kuzatib borish, dars materiallari va amaliy topshiriqlar tayyorlash. Nomzodlar mas'uliyatli, kommunikativ bo'lishi, o'z yo'nalishi bo'yicha amaliy tajribaga ega bo'lishi, yangi texnologiyalarni muntazam o'rganib borishi talab etiladi. Shuningdek, tajribali mutaxassislar bilan birga professional muhitda rivojlanish imkoniyati mavjud.

Location: Remote, DC MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. The federal government generates more data every day than most organizations manage in a decade, streaming continuously from satellites, unmanned systems, sensors, and warfighters across every domain and classification level. At the same time, AI is transforming how that data gets used, from massive training data lakes to real-time decision-making at the tactical edge. MinIO sits at the center of both problems. We are the data foundation that lets federal and defense customers store, move, and act on their data at any scale, in any environment, including the most austere and disconnected ones on the planet. This isn't incremental infrastructure work; it's the layer that decides whether the right data reaches the right decision-maker at the right moment. The Federal Senior Account Executive at MinIO will lead new business development for our Federal practice in an individual contributor capacity. MinIO Federal is a channel-first organization. The right candidate has a working network of FSI, ecosystem, and channel partner relationships to activate on day one. What You Will Do: Drive Pipeline Through Partners: Actively develop and close new business across DoW, IC, and civilian agencies by activating and expanding relationships with existing and new federal channel partners and systems integrators. Leverage Existing Relationships: Bring and activate your own network of federal customer, partner, and FSI contacts to accelerate pipeline from day one. Established relationships with agencies, primes, or federal resellers are a core requirement of this role. Own the Sales Cycle: Manage the full sales cycle through close, maintaining a healthy, accurately forecasted pipeline. Articulate MinIO's Value in a Federal Context: Tailor MinIO's value proposition to federal buyers and their unique constraints, budget cycles, compliance requirements, and procurement vehicles, spanning both traditional data infrastructure and emerging AI/ML, inference, and agentic AI use cases, and equip partners to do the same. Cross-Functional Collaboration: Work closely with our Federal field architect, channel, and marketing resources to align technical, partner, and go-to-market strategy, and ensure a seamless customer and partner experience. Accurate Forecasting: Maintain transparent, accurate forecasts of pipeline and sales activity to support planning and the broader Federal growth model. Your Skills and Experience: Established Federal Relationships: Existing, active relationships with federal systems integrators, resellers, and agency contacts that can be brought to bear immediately. Federal Sales Experience: 7+ years of experience in federal or public sector sales, with a demonstrated track record of sourcing and closing new business through partners and channel relationships. Channel-Led Sales Motion: Deep familiarity with partner-led federal sales models, deal registration, teaming agreements, and working alongside resellers and SIs rather than solely direct-to-agency. Domain Knowledge: Background in technology sales, ideally cloud-native infrastructure, storage, and/or AI/data platforms; understanding of federal buyer constraints (procurement vehicles, budget cycles, compliance). Startup/Growth-Stage Experience: Comfortable operating in a lean, fast-moving environment without the infrastructure of a large, established sales org. Challenger Approach: Skilled at identifying and challenging the status quo, demonstrating clear business value, and closing competitive deals. Excellent Communication: Strong verbal and written communication skills, able to represent MinIO credibly to agency stakeholders, partner executives, and internal leadership alike. Clearance: Active security clearance, or the ability to obtain one. Educational Background: BA or BS in a related field or equivalent experience. What We Offer: Health Care Plan (Medical, Dental & Vision) 401K with 3% Contribution Pre-IPO Stock Options At least 12 Public Holidays Flexible Time Off Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Location: Sainte-Anne-de-Bellevue, Canada Role overview: Our client is seeking a GNC System Engineer for design, integration, verification, and operational support of GNC subsystems for our current and next‑generation remote sensing and communications satellites. The role will require to design the complete subsystem, from algorithm development through hardware implementation, verification, and on‑orbit operation support. The role requires deep expertise in orbital dynamics, attitude‑determination & control, plus real‑time FSW definition and integration, and will work closely with subsystem and mission operations teams throughout the satellite life‑cycle. Tasks summary: Architecture Concept & Requirements Derive GNC functional, performance, and safety requirements (pointing accuracy, slew rate, orbit‑maintenance ΔV, fault‑tolerance) from mission level requirements. Produce System Requirements, Interface Control document (ICD), and Description Document. Perform requirement management and maintain bidirectional traceability throughout the project lifecycle. Modelling & Trade‑Study Conduct trade studies on sensor suites and actuator families. Perform high‑fidelity dynamics simulations (Matlab/Simulink, STK) to meet pointing requirements, maintain error budgets, control‑law stability, fuel consumption, and survivability margins. Algorithm Development Design and implement attitude‑determination algorithms and orbit‑determination solutions. Develop control laws for 3‑axis stabilization, slew maneuvers, station keeping algorithms Validate algorithms with Monte‑Carlo analysis, worst‑case scenarios, and support SIL/HIL testing on avionic test bench. Cross‑Functional Coordination, Stakeholder & Program Interaction Translate algorithms into FSW requirements running on real‑time operating systems. Collaborate with the C&DH and FSW teams to implement TM/TC, schedulers and FDIR logic for GNC. Present technical status, risk analyses, and trade‑study results to senior management. Negotiate and maintain ICDs with subsystems. Support B&P (Phase 0 & pre-phase A). Hardware Selection & Design Specify sensor and actuator hardware, perform interface definition (electrical, mechanical, thermal) and conduct trade on redundancy architectures. Work with structures and thermal engineers to ensure proper mounting, thermal paths, and vibration survivability of GNC hardware aligning with payload requirements. Review harness routing and power distribution for GNC electronics. Integration & Verification (IVV) Author Verification Plans, Test Matrices, and Validation Procedures for unit, subsystem, and spacecraft level GNC tests. Lead functional tests: sensor calibration, actuator command‑response, closed‑loop attitude‑control on testbeds, and on‑orbit checkout sequences. Conduct failure mode and effects analysis (FMEA), fault tree analysis (FTA), and reliability prediction. Technical Leadership & Mentorship Mentor, guide junior engineers and interns. Act as technical liaison with customers, partners and external vendors Act as Continuous Improvement stakeholder Contribute to our client’s knowledge‑base, process enhancements, and standards. Configuration, Documentation & Standards Management Maintain GNC standards (sensor/actuator interface, filter design, control‑law documentation). • Ensure all artefacts, analysis, software, deliverables and documentations are version controlled in PLM environment. Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.). Support Technology Road‑Mapping & Innovation On‑Orbit & Operations Support Support procedure developments (detumble, orbit‑maintenance, safe‑mode…etc.). Provide real‑time GNC support during launch, early‑orbit checkout, and contingency events. Analyse on‑orbit telemetry, update filter parameters, and generate performance reports. • Support SOOH development and associated operator training. Required Qualifications: B.Sc. in Electrical Engineering, Aerospace or Physics, (M.Sc. preferred), focused on flight dynamics, control theory, or navigation with 10+ of GNC/AOCS experience on LEO/MEO/GEO platforms. Orbital mechanics, attitude dynamics, and control‑law design (classical and modern optimal control). Proficiency with navigation sensors and actuators. Experience implementing real‑time filtering and control algorithms in embedded code Strong understanding of aerospace system engineering fundamentals. • Hands-on individual who can support systems integration processes and capability to test systems and resolve problems. Experience with Confluence and JIRA. • Demonstrated capability to efficiently work with little supervision. • Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity. • Demonstrate excellent written and verbal communications skills in English & French work environment.

Location: London, UK Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. Sensor Tower is looking for a Team Manager to join our Investor Vertical. In this role, you will have the exciting opportunity to own and execute on our expansion strategy with our London-based team. Sensor Tower Team Managers are dynamic, player-coach positions in which you will manage your own book of high-leverage accounts, as well as direct a team of your own Account Managers (50% own book / 50% team leadership). The team currently has one Account Manager with plans to hire a second shortly after this Team Manager is ramped, making it the perfect opportunity for senior sales professionals who want to break into management and build their own team. WHAT YOU WILL DO: - Directly own relationships with Sensor Tower’s most strategic EMEA-based Investor accounts, which include hedge funds, private equity firms, and venture capital firms. - Manage a team of Account Managers, each with their own book of business, with the primary objective of hitting team GRR and NRR milestones. - Hire, train, and mentor new Account Managers with high upside potential. - Analyze companies that operate in the digital economy to add value to your clients and showcase Sensor Tower’s alternative data product suite. - Work cross functionally with the Investor Vertical’s NYC-based and HK-based teams, as well as other departments like Marketing, Data Science, Product Management, etc. EXPERIENCE WE ARE LOOKING FOR: - 8-12 years of experience working at or with financial institutions, with much of that experience in a consultative sales or sales management position. - Past exposure to strategic/enterprise data sales or account management. - Proficiency in financial analysis, with experience leveraging large datasets and AI. - Comfortable juggling multiple priorities while maintaining a high standard of professionalism and follow-through. - Exceptionally organised, detail-oriented, and process-driven. Thrives in fast-paced environments and keeps operations running smoothly. - Excellent communicator who brings both polish and personality to internal and external interactions. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Обязанности: — Проведение анализа ключевых слов и конкурентного окружения для оптимизации приложений. — Оптимизация метаданных (названия, описания, скриншоты) для повышения видимости. — Коммуникация с теплой базой клиентов для увеличения удержания и вовлеченности. — Использование инструментов анализа (App Annie, Sensor Tower) для отслеживания эффективности ASO-стратегий. Требования: — Знание инструментов ASO и опыт работы в данной области. — Отличные коммуникативные навыки. — Умение работать с данными и аналитикой. — Креативный подход к решению задач. Условия: — Удалённая работа. — Фулл тайм

Задачи: — Создавать рекламные видео для Meta, TikTok и других каналов привлечения трафика — Разрабатывать новые креативные концепции, визуальные хуки и рекламные сценарии — Генерировать и тестировать различные вариации креативов для A/B-тестов — Использовать AI-инструменты для создания и ускорения производства контента (Runway, Kling, Veo, Midjourney, ChatGPT, Flux, ElevenLabs и другие) — Анализировать успешные креативы конкурентов и рыночные тренды — Работать совместно с командой User Acquisition над поиском новых рекламных подходов — Поддерживать порядок в рабочих файлах и соблюдать сроки выполнения задач Требования: — Опыт работы Motion Designer от 2 года — Опыт создания рекламных видео для мобильных приложений, веб-продуктов или SaaS — Уверенное использование современных AI-инструментов — Понимание принципов performance-маркетинга и рекламных креативов — Умение самостоятельно доводить задачу от идеи до финального результата — Внимание к деталям и готовность работать в среде постоянных экспериментов и тестов — Хорошие коммуникативные навыки и опыт удалённой работы — Готовность выполнить ТЗ (обязательное условие) Будет плюсом: — Опыт работы с подписочными мобильными приложениями и веб-продуктами — Опыт работы с сервисами для анализа рекламы и конкурентов (Meta Ads Library, Sensor Tower, AppMagic, SimilarWeb, AdHeart и др.) — Понимание ключевых маркетинговых метрик (CTR, CPC, CPA, CPM, CVR и др.) — Опыт работы с User Acquisition или Growth-командами — Базовые навыки графического дизайна (Photoshop, Figma, Illustrator) — Портфолио с рекламными креативами, ориентированными на результат Условия: — Full-time, полностью удалённо — Рассматриваем кандидатов из Украины, Беларуси и стран Европы — Гибкий график — Желательно пересечение с часовым поясом CEST — Небольшая сильная команда без бюрократии — Прямое влияние на ключевые метрики и рост продуктов — Возможность быстро расти вместе с компанией

Location: London, UK Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. We’re seeking a Product Marketing Manager to join our team and help position our data-driven solutions in a rapidly evolving digital ecosystem. Salary: £60-70K Hybrid Role (2-3 Days in our London Office) About the Role As a Product Marketing Manager (PMM) at Sensor Tower, you’ll play a critical role at the intersection of product, sales, and marketing. You’ll position complex data products with clear, compelling messaging and enable our go-to-market teams to drive growth and adoption. This is a mid-level role for a well-rounded marketer who thrives on collaboration, and strategic storytelling—someone who understands technology, SaaS, and data products and can communicate their impact clearly. Key Responsibilities: - Develop and refine go-to-market strategies for Sensor Tower’s data and insight products, driving awareness and adoption. - Collaborate closely with Product, Sales, and Marketing teams to position and launch new products and features. - Build customer-facing materials (presentations, case studies, one-pagers) that clearly communicate value and unique selling propositions. - Conduct market research and competitive analysis to inform product messaging and strategy. - Partner with Sales to enable teams with the right messaging, collateral, and training. - Gather and synthesize customer feedback to influence the product roadmap and marketing initiatives. What We’re Looking For: - 3+ years of experience in Product Marketing, preferably within tech, SaaS, or data-driven products. - Strong understanding of how to market complex or data-rich products. - Proven experience working cross-functionally with Sales and Product Management. - Exceptional written, verbal, and presentation skills, effectively communicating with diverse audiences while maintaining a customer-first approach. - Ability to translate technical concepts into clear, engaging messaging for different audiences. - Experience in WebTech, AdTech, MarTech, Gaming, or analytics products is a plus. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock human performance. WHOOP empowers its members to perform at a high level by providing a deep understanding of the interactions between their unique physiology and chosen behaviors. As a Program Manager at WHOOP, you will be a critical member of the team that develops the next generation of models that will power the features we can provide to members. This role sits at the intersection of machine learning, data science, sensor intelligence, platform engineering, and product, and is responsible for translating complex technical work into clear plans, dependencies, and outcomes to ensure projects are delivered on time, aligned to strategy, and built for scale. Success in this role will require a high degree of adaptability and a solutions mindset, ability to simplify complexity, while continuously managing shifting priorities. Foundation AI capabilities are critical to our ability to innovate quickly and responsibly. This role ensures that the underlying systems powering our features are delivered thoughtfully, reliably, and in a way that unlocks impact across the entire organization. RESPONSIBILITIES: - Drive Foundation AI projects from kickoff through development to deployment and stabilization - Support the VP of Foundation AI to translate strategy into executable roadmaps with clear milestones, risks, dependencies, and success metrics - Develop project plans consistent with business goals and requirements for algorithm performance - Establish and maintain program governance, including planning cadences, status reporting, decision forums, and executive communication - Work with the FAI team, Data Science, Sensor Intelligence, WHOOP Labs, Data Engineering, Software, Firmware to ensure project objectives and priorities are aligned across departments - Bring together key stakeholders to facilitate timely and lasting decision-making - Partner with the extended team on compute infrastructure planning, focusing on availability constraints, capacity forecasting, vendor quotes/lead times, and tradeoffs across vendors. - Partner with the broader RAD program management team to continuously improve the development process to enable execution of projects in an organized, methodical, and predictable manner. - Identify and manage project risks and issues, ensuring mitigations are in place to reduce potential impacts. - Facilitate cross-functional communication across WHOOP for awareness and understanding. - Understanding of technical issues to facilitate resolution of project blockers is a plus QUALIFICATIONS: - 2+ years of industry experience in program or project management, preferably involving AI/ML, data platforms or large-scale systems - Experience working with AI or applied ML teams - Familiarity with agile methodologies, sprint planning, backlog grooming processes - Data-driven approach to strategic planning, comfortable reviewing metrics and identifying ways to measure program success - Familiarity with AI/ML concepts (e.g., model training, inference, data pipelines, evaluation, experimentation), hands-on coding experience is not required - Clear, confident communicator who can bridge deeply technical teams and business stakeholders - Proven ability to influence without authority and drive alignment across diverse teams - Nice to Have: - Experience working with research teams - Background in consumer technology, platforms, or data-driven products - Experience organizing projects using Jira or similar platforms This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $$125,000-$175,000 Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.   In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.   Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Location: London, UK Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. Account Executive, Brands   We are looking for an ambitious SaaS closer to drive new business across the UK and EMEA. A sharp, relentless hunter with a deep understanding of the digital economy, you excel at dissecting complex business models, uncovering strategic needs, and translating those insights into high-value Sensor Tower partnerships. The digital economy is everywhere, and brands increasingly rely on data to inform and support their decision making. The prospect pool is vast, creating tremendous opportunities to build new connections, develop relationships, and ultimately drive meaningful growth through the sale of our products.     What you will do?   - Source and close new business to regularly meet and exceed sales goals. - Developing market and product knowledge to drive new customer acquisition in EMEA. - Working with management and the sales development team to define specific sales strategies. - Sell SaaS-style platform licenses and customized solutions. - Build an intimate understanding of Sensor Tower’s data and platform, and how it meets the needs of their customers. - Create strategic relationships with all levels of decision-makers. - Prospect potential clients, perform presentations, build proposals, and close new deals. - Track and manage all sales pipeline, opportunity, and account activities in Salesforce. - Work with internal Account Management, Client Services, Finance, Product, and other stakeholders to exceed client expectations and grow ARR.   Experience and skills that you can can bring:   - Experience selling SaaS solutions to customers in EMEA. - Consistently meet and exceed sales quotas and can back it up with solid references. - Keen understanding of how to use data, analytics, and insights to tell a story. - Strong preparation, attention to detail, and ability to execute exceptional work. - Passionate, hunter mentality, tenacious, and ability to “think on your feet" - Senior mobile, digital and SaaS contacts with a solid reputation among these customers. - Ability to meticulously manage a pipeline, target new accounts, close business and handles follow-up via Salesforce.   Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: New York City, NY, US Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. Sensor Tower is looking for a Senior Manager of Business Strategy to be an integral part of our Innovation & Strategy team providing white glove service and bespoke projects to our clients on an ongoing basis. Sensor Tower’s Innovation & Strategy team works with Sensor Tower’s most discerning clients who need consulting support to maximize the value of our data and achieve their strategic goals. We are divided into two consulting verticals, Business Strategy and Solutions Engineering. The Senior Manager of Business Strategy will handle a subset of clients, working cross-functionally across Solutions Engineering and other Sensor Tower departments, including sales, product and marketing teams. This is a consultative role that gives you an opportunity to drive innovative initiatives for exceptional clients and is right for someone with direct client experience and a background in digital marketing and/or mobile apps, who can deliver exceptional results. Sensor Tower operates a hybrid working policy, and you’ll work from our New York office two days a week. Salary: $125,000 - $170,000 What the Senior Manager of Business Strategy will do: - Manage relationships with key Sensor Tower clients. Most clients are publicly traded Fortune 500 names. Focus of clients will be US-based. - Understand the full suite of Sensor Tower offerings, including our Mobile App, Digital Advertising, Audience and Web products, and leverage these tools for client success. - Manage new client implementations across different verticals, while maintaining current clients - Support new sales and proposal processes with our Sales Team. - Develop cross-functional relationships across Sensor Tower to be able to leverage all our resources for our clients. - Drive innovation, working with our Advanced Data Studio team to provide go-to-market for new product development - Become an industry expert, keeping a pulse on trends and ad tech news - Over time supports a growing team as it becomes the premier service provider in a fast-growing company across the digital ecosystem. Experience the candidate can bring: - 7+ years of experience in a consulting role with heavy client-facing responsibilities at an ad or marketing agency, app or technology company, or other consulting company focused on business/marketing strategy. Management consulting experience is a plus. - Extremely comfortable working with data. Support multiple clients by providing solutions which leverage multiple data sources to provide actionable insights. - Experience managing people in this industry or competency. - Demonstrated experience with Excel-based data analytics and reporting, and expert at storytelling through PowerPoint or Google Slides. - Strong communication skills with the ability to convert technical jargon into layman’s terms so clients understand exactly what we can provide to them. - Experience working with stakeholders from many different teams to provide solutions which exceed customer expectations, including at the executive level. - Highly proficient in project management and cross-team communication. Documentation and organization is a must. - Most importantly, you’re brimming with entrepreneurial drive. You see opportunities where others see only roadblocks. You roll up your sleeves and develop innovative solutions for clients where no precedent exists, and you can’t wait for the next problem to solve. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: San Francisco, CA Workplace: Hybrid About Niantic Spatial AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. About the Role We're looking for our founding Sales Development Representative to introduce Niantic Spatial to the organizations shaping the future of spatial computing, autonomy, and AI. Reporting into Marketing, you'll follow up on inbound interest, open meaningful first conversations with prospective customers and partners, and build a qualified pipeline. This role sits at the intersection of research, communication, and disciplined execution. You'll learn how organizations approach their operational and technical challenges, understand their use cases, and assess where our products can help. Your conversations do double duty: they build pipelines, and they give Product real signals about where we are finding product-market fit. You'll work closely with marketing, product, business development, and operations to turn market interest into pipeline, and help build the systems, messaging, and feedback loops that make a growing go-to-market team more effective. What You'll Do - Build Early-Stage Pipeline - Respond quickly to inbound interest, qualify initial fit, and uncover business and technical priorities. Develop outbound campaigns with Marketing and Business Development, testing audiences, messages, channels, and calls to action, then use the results to sharpen how we approach the market. - Create Qualified Conversations - Research target accounts across industries such as oil and gas, defense and the public sector, and embodied AI. Build an informed point of view on each prospect's business, technical environment, and potential need for spatial intelligence. - Reach Prospects Thoughtfully - Run personalized outreach across email, phone, LinkedIn, events, and other channels. Lead with a clear reason for reaching out and make every interaction useful, whether or not it produces a meeting. - Explain the Opportunity - Learn our products and point of view deeply enough to explain them clearly to technical and executive audiences. Connect our capabilities to real customer problems without overstating what the products can do. - Surface Product-Market Fit Signal - Ask thoughtful questions about how organizations build, deploy, and operate systems that need to understand the physical world. Recognize promising use cases and route the right context to product, sales, and technical teams so they can test where fit is strongest. - Hand Off Cleanly - Translate discovery notes into a clear articulation of the customer's need, the proposed solution, initial scope, and next steps. Partner with Business Development on the first proposal and make sure the opportunity moves into the sales process with its context intact. - Strengthen the Go-To-Market Motion - Capture patterns from prospect conversations: recurring pain points, objections, terminology, competitive context, and emerging use cases. Share them with Marketing, Business Development, Product, and Operations. Improve our processes, data quality, and tooling, using automation and AI to remove repetitive work while keeping judgment and personalization at the center of the prospect experience. What You'll Bring - 1-2 years in sales development, business development, customer-facing technology, fundraising, or a similarly communication-intensive role, or strong curiosity and drive early in your career. - Clear, confident written and verbal communication, with the ability to engage both technical and business audiences. - Comfort starting conversations with people you don't know. You listen carefully, ask strong follow-up questions, and persist without becoming transactional or scripted. - Ownership of your own work: you can run a thoughtful follow-up process, keep accurate records, and stay organized across many accounts and conversations. - Curiosity about how technology changes the way organizations operate, and the ability to learn a complex product, find the business relevance, and communicate it clearly. - An appetite for experimentation. You'll test a new message or channel, learn from the result, and make the next iteration better. - Persistence, sound judgment, and a high standard for preparation and follow-through. - Bachelor's degree, or equivalent experience. Nice to Have - An interest in AI, spatial computing, robotics, autonomy, mapping, or other technologies that connect digital systems to the physical world. - Experience using CRM (we use HubSpot), sales engagement, research, and productivity tools. - Exposure to oil and gas, defense and the public sector, or embodied AI markets. - Experience working alongside product teams, or an interest in how early customer conversations shape what gets built. Compensation & Benefits The expected salary range for this role is $102,000–$114,000 per year. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more. Location & Work Model This role is based in our San Francisco office, with three days per week in office. Inclusive Application We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed - you may be exactly who we're looking for. Equal Opportunity Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. Candidate Privacy I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: Santa Clara, CA Workplace: onsite Role Overview We are looking for a Senior Software Engineer to own the systems that power a large-scale data collection operation, including the collection platform, operator tooling, data pipeline, and fleet infrastructure. This is an engineering role. Day-to-day teleoperation is performed by a dedicated operator team that you direct — you build what they run on, and you own what comes out of it. Project Details Location: 100% Onsite (Santa Clara, CA, US) Employment: Full-time W-2, Monday–Friday, 9:00 AM–5:00 PM Start Date: ASAP Contract Duration: 12-month contract with possibility of extension Rate: $105/hour What You’ll Do Design, build, and maintain the software behind our data collection stations — teleoperation stack, multi-camera recording, and session tooling. Deploy and upgrade that stack across the fleet without stopping collection; keep workstations, containers, and networking healthy. Own the data pipeline end to end: automated validation, conversion into our dataset format, upload, metadata, and versioning. Build the QA tooling that catches dropped frames, stream desync, bad calibration, and mislabeled episodes before data reaches training. Direct a team of teleoperators — define task protocols and SOPs, onboard them on new tasks and embodiments, review session quality, and unblock them daily. Own fleet reliability: calibration and firmware pipelines, sensor and end-effector integration, root-cause analysis of recurring faults, and vendor escalation. Bring up new stations and new embodiments; report throughput, yield, and data health to the research team. What we need to see MS in CS, Robotics, EE/ME, or a related field (or BS with equivalent hands-on experience). 3+ years building software for real robot systems — not simulation only. A system you designed and shipped that other people depended on daily, and that you kept running. Strong Python and Linux; Docker, git, CI, and SSH-based fleet administration. Robot middleware and real-time multi-sensor recording — ROS 2 or equivalent vendor SDKs. Experience supporting a data collection or teleoperation operation: you have built the tools operators depend on and owned throughput and quality numbers. Comfortable around robot hardware — arms or humanoids, dexterous hands, RGB-D cameras, and the calibration that keeps them honest. Able to lead operators without formal authority: you write clear SOPs, train people, and communicate status without being asked. Ways to stand out from the crowd Humanoid or bimanual platforms (Unitree, Fourier, ALOHA/ARX-class rigs) and dexterous hands. XR teleoperation: Quest / PICO / Vision Pro, motion-capture gloves, whole-body retargeting. Imitation-learning data tooling — LeRobot, HDF5/Zarr episode stores, dataset versioning, S3 at TB–PB scale. Built internal dashboards or tooling for a production line or high-throughput lab. Open-source contributions to robotics data or teleoperation tooling. #L1-CC1 Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Задачи: — Интеграция с автопилотами (PX4/ArduPilot), доработка прошивок, offboard управление, MAVlink — Разработка симуляционного стенда и HIL/SIL пайплайнов, автоматизация регрессионных тестов управления — Подготовка и проведение летных испытаний, анализ логов, доработка по полученным данным — Работа с отказоустойчивостью: детекция отказов, safety-логика, деградация режимов — Оценка состояния и sensor fusion (IMU, барометр, магнитометр, GNSS, дальномеры) совместно с командой разработки — Разработка и настройка контуров управления БПЛА (мультироторы): attitude/rate, position, velocity, guidance Требования: — Понимание теории управления на практическом уровне: PID/каскадные схемы, LQR, MPC, фильтр Калмана (EKF/UKF) — Хорошие навыки кодинга на Python — Опыт работы с динамикой летательных аппаратов или роботов: моделирование, идентификация, кинематика/динамика твёрдого тела, кватернионы — Опыт с PX4/ArduPilot/BetaFlight и/или ROS/ROS2 — Сильный бэкграунд в математике и/или физике — Умение работать с реальным железом и логами, а не только с моделью в MATLAB Будет плюсом: — Реальные налёты и опыт настройки аппаратов «в поле», навыки пилотирования — Опыт с симуляторами: Gazebo, Isaac Sim, AirSim, jMAVSim — Навигация без GNSS: VIO, terrain-relative navigation, оптический поток — Опыт с embedded: STM32, RTOS, интеграция на Jetson/Rockchip/RPi — RL или learning-based control как дополнение к классике Условия: — Официальное трудоустройство по ТК РФ с первого рабочего дня, полностью «белая» заработная плата — Соц. пакет по ТК РФ — Конкурентная белая заработная плата, обсуждается индивидуально, оклад 100% — Годовая премия по результатам работы — Офис в ОЭЗ «Технополис Москва» Руднево, рядом со станциями метро Некрасовка/Лухмановская — Современный офис, оснащённый по последнему слову техники — График 5/2 с гибким началом рабочего дня (с 08:00 до 10:00), пятница сокращённый день — Испытательный срок 3 месяца — После испытательного срока гибридный график по согласованию с руководителем — Возможность реализовать свои идеи и получить практический опыт в цифровизации/автоматизации — Открытая, демократичная культура, дружный коллектив и хороший психологический климат Просьба в сопроводительном письме указывать зарплатные ожидания.

Location: Hong Kong Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back? , as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities. Important Notice: ⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc . If you receive a suspicious email or message, please do not respond and report it immediately to us. Location: Hong Kong Type: Full Time Internship (June 1, 2027 - August 31, 2027) The Role The Core Technology team builds the systems that allow Nex Playground to use cameras, microphones, and other sensors to understand player movement and interactions in real time. As our Software Engineer Intern (Engineering, Core Technology) , you will work across the technology stack behind these experiences. You may build real-time software that runs on Nex Playground, create internal tools for preparing and reviewing datasets, improve camera and hardware integrations, or automate how we train, evaluate, optimize, and deploy machine learning models. You will collaborate with software engineers, ML researchers, and game teams to investigate real-world problems and turn new ideas into reliable technologies that can be used in games. You will receive hands-on mentorship while owning meaningful work that contributes to our products and engineering capabilities. What You Will Do Build real-time software for motion tracking, cameras, audio, and ML inference. Develop tools that help engineers prepare datasets and train, evaluate, optimize, and deploy ML models. Improve reliability and developer experience through visualization, debugging, performance analysis, and automated testing. Collaborate with engineers and researchers to bring experimental technologies into games. Should Have Must be currently enrolled in an undergraduate or graduate degree program at an accredited college or university. Solid foundation in software development and computer science fundamentals. Programming experience in any language. Strong problem-solving and debugging skills. Strong communication and collaboration skills. Curiosity about real-time systems, machine learning systems, cameras, sensors, or hardware. Excited to learn and work across different parts of the technology stack. Nice To Have Experience with C++, C#, or Java. Interested in computer vision, ML inference, cameras, audio, or embedded systems. Interested in building developer tools, web or desktop applications, or data workflows. Interested in profiling, automated testing, CI/CD, or DevOps practices. Enthusiastic about games, interactive physical experiences, and helping people be active and healthy. We Offer Competitive compensation package. Flexible working hours and vacation policy. Product-driven culture that treasures talents and individual growth. Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field Nex is located in San Jose, California, USA and Hong Kong . Learn more about us at https://www.nexplayground.com/about . We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination. We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.

Location: Hong Kong Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back? , as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities. Important Notice: ⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc . If you receive a suspicious email or message, please do not respond and report it immediately to us. Location: Hong Kong Type: Full Time Internship (June 1, 2027 - August 31, 2027) The Role The Core Technology team develops the technologies that allow Nex Playground to use cameras, microphones, and other sensors to understand player movement and interactions in real time. As our Software Engineer Intern (ML Research, Core Technology) , you will explore and develop machine learning methods that expand what Nex Playground can perceive and understand. You may work on computer vision, audio, sensor fusion, or other sensing problems, taking ideas from research hypotheses through experimentation, evaluation, optimization, and working prototypes. You will collaborate with ML researchers and software engineers to build datasets and experimental workflows, evaluate ideas rigorously, and demonstrate promising technologies under real-world and on-device constraints. You will receive hands-on mentorship while owning a meaningful research project that contributes to our future products and technical direction. What You Will Do Develop and evaluate ML models and algorithms for computational perception and interaction. Design rigorous experiments, improve datasets, compare approaches, and understand failure modes. Build training and evaluation tools, and optimize promising models for real-time, on-device inference. Collaborate with researchers and engineers to prototype technologies on Nex Playground and communicate your findings. Should Have Must be currently enrolled in an undergraduate or graduate degree program at an accredited college or university. Strong interest in machine learning and enthusiasm for learning new methods and tools. Solid mathematical fundamentals and comfort with quantitative reasoning. Strong analytical and problem-solving skills. Programming experience in any language. A curious, systematic approach to learning through experimentation. Strong communication and collaboration skills. Nice To Have Experience with Python or familiarity with PyTorch, TensorFlow, or another ML framework. Interested in computer vision, audio processing, sensor fusion, or multimodal learning. Interested in model optimization, on-device inference, GPUs, NPUs, or resource-constrained devices. Interested in data curation workflows, or dataset quality analysis. Enthusiastic about games, interactive physical experiences, and helping people be active and healthy. We Offer Competitive compensation package. Flexible working hours and vacation policy. Product-driven culture that treasures talents and individual growth. Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field Nex is located in San Jose, California, USA and Hong Kong . Learn more about us at https://www.nexplayground.com/about . We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination. We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. We are looking for an experienced product research leader to support product development across WHOOP's hardware, wearables, algorithms, sensors, and advanced technology portfolio. You’ll manage a team of research staff that own end-to-end research for early-stage innovation, physical products and apparel, and algorithm development out of WHOOP Labs Boston. You will also contribute to the broader WHOOP Labs research strategy, bringing your research expertise to the Human Subjects Research leadership team. The ideal candidate brings experience leading researchers in a fast-paced technical product environment, with particular preference for experience supporting hardware, sensors, wearables, or other physical products through iterative development cycles. This position is in-person in Boston, MA 5 days per week with travel 2-3 times per year.   RESPONSIBILITIES - Develop, manage and scale the human subjects research team with an emphasis on professional development and coaching at multiple levels of seniority. - Champion research integrity, including ensuring that data collection tools and team practices are optimized for the fast-paced, complex nature of product innovation work. - Advocate for the needs of your team and their work to unlock high-volume, high-quality research on site at WHOOP Labs Boston. - Define and monitor key performance indicators (KPIs) to measure the effectiveness of program initiatives and track progress towards goals. - Collaborate closely with other research leaders to build a strong culture across WHOOP Labs and ensure strong ways of working between research execution and operations teams. - Partner with stakeholders across signal engineering, machine learning, hardware, apparel, and product to coach on working with HSR and facilitate effective collaboration between teams. - Champion of culture of team trust, support, and communication, emphasizing the complexities of conducting public-facing, high-engagement activities. - Partner with the Associate Director of Lab Operations and Associate Director of WHOOP Labs Doha to build the WHOOP Labs brand across the global organization. - Reports to the Sr. Director of Human Subjects Research QUALIFICATIONS - 5+ years of experience in a Research Manager, Research Lead, or similar human subjects research leadership role within a technical product development environment. - 2+ years of direct people management experience, with a demonstrated ability to coach and develop researchers across disciplines and levels. - Experience supporting research for consumer hardware, sensors, wearables, connected devices, or other physical products strongly preferred. - Familiarity with physical product development processes, including early-stage prototyping, iterative testing, hardware development timelines, and/or feasibility explorations. - Data-driven approach to strategic planning, comfortable reviewing metrics and identifying ways to measure research ROI and impact - Experience collaborating across multiple functions including engineering, privacy/legal, research, recruitment, and product. - Passion for building a strong team culture and coaching future research leaders. - Strong organizational, communication, and documentation skills. - Passion for health, wellness, and WHOOP’s mission. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $140,000 - $180,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

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 We are looking for a Senior Control Engineer to join our Controls Team in Vancouver, focusing on SW control development and integration of robotic actuators and sensors. You will be responsible for designing, implementing, and validating joint- and actuator-level controllers that deliver high precision, responsiveness, and safety for complex robotic mechanisms. The ideal candidate has a solid background in control theory, strong software engineering skills in C++, and comfort working across the full stack from real-time embedded control up through networking, kinematics/dynamics, and browser-based debugging tooling. You will work closely with other control and hardware engineers to model, tune, and optimize the behavior of real robots and their subsystems (i.e. limbs and end-effectors).   WHAT YOU’LL DO Low-Level Control Development - Tune and validate actuator - and joint-space control loops (PID, feedforward, impedance/admittance, observers, state feedback) for multi-DoF systems in ROS2. - Work across EtherCAT/CAN and Linux networking (TCP/IP, DDS discovery, time sync) to ensure deterministic, safe real-time operation. - Implement safety and fault-handling mechanisms for dynamic conditions. Modeling, Kinematics & System Identification - Build and identify models of actuators, transmissions, and mechanisms — including parallel mechanisms like differential wrists/ankles — for control design and simulation. - Apply rigid body kinematics/dynamics and numerical IK/FK methods; work from URDF/Xacro and MJCF, interpreting mechanical drawings and geometry. Software & Systems Integration - Write real-time-safe, object-oriented C++ (lock-free structures, thread safety) for control and diagnostics. - Design and debug multi-layer control architectures. - Maintain CMake build/dependency tooling and Python test harnesses; build lightweight browser-based tools (HTML/JS/WebSocket) for hardware debugging. Sensor & Hardware Integration - Integrate and calibrate a range of sensors (F/T sensors, tactile sensors, IMUs, etc.) with real-time acquisition and processing across the control stack. - Hands-on hardware bring-up and debugging. Cross-Disciplinary Collaboration - Close the loop with mechanical/electronics engineers across sites on actuation requirements; - Support hardware bring-up, calibration, and performance testing.   WHAT WE'RE LOOKING FOR - M.S. or Ph.D. in Control Engineering, Robotics, Mechanical Engineering, or Electrical Engineering with 5+ years in robotic or mechatronic systems — equivalent practical experience counts. - Shipped real-time-safe, object-oriented C++ control software running on real hardware, in production or a serious research programme. - Tuned and validated controllers on physical actuators, including sensor calibration and bring-up — with a story about something that behaved nothing like the model and what you did about it. - Debugged at the fieldbus and OS layer: EtherCAT (PDO/SDO, timing constraints) or CAN, on an RTOS or real-time Linux. - Strong control theory foundation (linear/nonlinear control, stability, observers, state estimation, feedback/feedforward, filtering, frequency-domain analysis) applied to multi-DoF mechanisms via Jacobians, numerical IK/FK, and URDF/Xacro. PREFERRED QUALIFICATIONS - BLDC motor control (commutation, current control, torque optimization) - ros2_control internals (hardware interfaces, controllers, controller_manager, plugins, lifecycle nodes). - Parallel mechanisms specifically (differential wrist, parallel ankle), robotic hands, or other multi-DoF end-effectors. - System identification toolchains and simulation environments (MATLAB/Simulink, MuJoCo, Gazebo); MJCF. - Experience with dynamic system modeling and simulation at the actuator and transmission level. 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.