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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. WHOOP is seeking a Senior Edge Signal Processing Engineer to join the Sensor Intelligence Group (SIG), a cross-functional team collaborating across WHOOP Labs, Firmware, and Machine Learning and Research. This role is central to developing next-generation sensor processing to enable foundational health features at WHOOP. You’ll develop the edge signal processing underpinning WHOOP physiological insights and coaching, ultimately delivering meaningful and personalized feedback to millions of members.   Responsibilities - Lead the design and development of real-time signal processing and edge inference for consumer products - Own the full development lifecycle, from prototyping and validation through productization and continuous improvement - Evaluate commercial solutions, develop prototypes and demos, and inform build/buy decisions - Collaborate cross-functionally with hardware, software, and product teams to bring algorithms to WHOOP members - Mentor junior engineers and contribute to a high-performance, research-to-production culture Qualifications - B.S. in Electrical Engineering or related field, M.S. or PhD preferred - 5+ years of experience developing and deploying real-time sensor signal processing algorithms (physiological, audio, motion, or related modalities) - Strong foundation in signal processing fundamentals (e.g., filtering, spectral analysis, time-frequency methods) - Demonstrated experience integrating signal-processing components into end-to-end embedded systems - Ability to implement and optimize signal-processing algorithms for constrained compute, memory, latency, and power budgets - Experience integrating third-party libraries, frameworks, or algorithm IP - Proficiency in Python or MATLAB for algorithm prototyping and with C/C++ for deployment to embedded product platforms - Excellent communication skills, including the ability to present technical results to a diverse audience - Demonstrated creativity, adaptability, and a strong interest in translating prototypes into products Additional Desired Experience - Experience deploying signal processing algorithms to battery-powered consumer product platforms - Familiarity with adaptive signal processing, multi-sensor processing, signal enhancement, detection, or classification techniques - Experience developing and evaluating hybrid DSP/ML systems - Familiarity with embedded firmware, RTOS environments, and real-time processing pipelines - Experience using optimized MCU/DSP libraries and acceleration frameworks (e.g., CMSIS-DSP, CMSIS-NN, or vendor-specific libraries) - Experience with fixed-point implementation, quantization, or other numerical optimization techniques for embedded signal processing

Location: Israel; United Kingdom; France; Germany; Netherlands; Mexico About us 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. We are looking for a Signal Integrity/Power Integrity Engineer to join us as part of our team. About the role As a Signal Integrity/Power Integrity Engineer you will work to shape the future of AI/ML hardware acceleration by driving cutting-edge TPU (Tensor Processing Unit) technology that powers the most demanding AI/ML applications. You will be part of a team developing custom silicon solutions, leveraging your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. You will lead chip and package design, ensuring optimal SI/PI performance and system co-design from concept to production, while collaborating within a cross-functional team of Chip Design, IP, System Design, software, and vendors. As a qualified expert You will Lead signal integrity (SI) and power integrity (PI) analysis and optimization for High-Performance Computing (HPC) leveraging advanced 2.5D/3D packaging technologies. Partner early in product definition to influence chip floorplanning, power distribution networks (PDN/power trees), netlists, and routability tradeoffs. Evaluate high-speed interface IPs and develop next-generation memory interfaces across IO PHY, SI/PI, and physical design boundaries. Drive post-silicon validation and qualification for NPI, balancing SI/PI performance and DFM constraints to achieve final package design closure. Partner closely with silicon, system, and external vendor teams while developing simulation methodologies to boost modeling accuracy and efficiency. 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. 8 years of experience in SI/PI design for chip/package or system PCB. Experience in industry SIPI modeling tool chains (e.g., HFSS, ADS, Sigrity, Siwave, etc.). Experience with lab bring-up, test environments, and characterization for high-speed memory and SerDes. Experience with partnering across chip architecture, physical design, static timing analysis (STA), package, and validation teams. Experience in Python, MATLAB, or C++ to establish automated flows and data processing tools. Bonus points Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture. Deep knowledge of SI/PI analysis for high-speed interconnects (HBMx, D2D/chiplets, PCIe, SerDes) and timing budget methodologies. Direct experience with silicon interposers, silicon bridges, and 3D die stacking architectures. 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. Interview steps Interview with Recruiter Manager Interview Client Interview

Основные требования: — 5–8 лет опыта работы в лабораторных условиях, глубокое понимание лабораторных и научно-исследовательских рабочих процессов — Не менее 5 лет практического опыта работы с Revvity Signals ELN / Signals Notebook — Обширный опыт настройки Signals ELN, включая шаблоны, рабочие процессы, системные настройки, роли и права доступа — Способность преобразовывать научные и бизнес-требования в эффективные конфигурации ELN — Опыт тесного сотрудничества с бизнес-аналитиками и научными пользователями — Отличные навыки устранения неполадок, коммуникации и управления заинтересованными сторонами Желательно: — Практический опыт работы с Revvity Synergy — Знакомство с API Signals, интеграциями или процессами миграции данных Чем предстоит заниматься: — Настраивать и адаптировать Revvity Signals ELN с учетом бизнес-требований и научных задач — Тесно взаимодействовать с бизнес-аналитиками для понимания требований и их воплощения в конфигурации системы — Настраивать шаблоны, рабочие процессы, системные параметры, роли пользователей, права доступа и другие компоненты приложения — Содействовать внедрению и оптимизации существующих рабочих процессов НИОКР в рамках Signals ELN — Устранять неполадки, связанные с настройкой, и оказывать поддержку пользователям по мере необходимости — Оказывать помощь в тестировании и валидации новых или обновленных конфигураций — Вести документацию по конфигурации и обеспечивать соответствие изменений установленным процессам и стандартам — Взаимодействовать с заинтересованными сторонами из научной, бизнес- и ИТ-сферы на протяжении всего процесса настройки и внедрения Условия: — Конкурентоспособное вознаграждение — Удаленная работа — Гибкий график работы — Команда с отличными техническими знаниями — Проектная работа — Полный день, гибкий график

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. Our wearable technology collects rich physiological data, providing members with actionable insights into their recovery, training, and sleep. We are seeking a Senior Sensor Algorithm Engineer to develop and deploy algorithms for physiological sensors including optical sensor and inertial measurement unit (IMU) data into accurate, reliable, and real-time insights on WHOOP devices. This hands-on role centers on digital and statistical signal processing, sensor fusion, and model-based state estimation, with a particular focus on accelerometer and gyroscope data. You will own algorithm development from sensor characterization, mathematical modeling, and Python prototyping through efficient C/C++ implementation, firmware integration, and production validation. Working closely with Firmware, Hardware, Data Science, and Product, you will deliver robust on-device algorithms that perform reliably across diverse members and real-world conditions while meeting the constraints of wearable hardware. RESPONSIBILITIES - Design and develop real-time signal processing and sensor fusion algorithms that combine Sensor measurements inputs to characterize motion and deliver reliable member-facing insights. - Develop and tune model-based estimators for orientation and motion, including sensor bias estimation, uncertainty propagation, and drift mitigation under changing movement and sensing conditions. - Build robust IMU processing pipelines, including filtering, calibration, time synchronization, resampling, coordinate transformations, and compensation for sensor noise and systematic errors. - Analyze large-scale, noisy wearable datasets to identify failure modes and improve robustness across motion patterns, device orientation, fit, and individual movement characteristics. - Translate algorithm prototypes into production-ready C/C++ implementations, balancing accuracy with power, memory, compute, numerical stability, and latency. - Partner with Firmware and Hardware teams on sensor configuration, sampling strategies, and on-device integration; investigate differences between prototype behavior and performance on target hardware. - Define performance metrics and rigorous validation plans using reference measurements, controlled experiments, real-world data, and on-device testing to assess accuracy, robustness, and long-duration stability. - Own technical decisions for complex algorithm components, contribute to design and code reviews, mentor teammates, and collaborate across functions to investigate post-deployment issues and drive continuous improvement. QUALIFICATIONS - 5+ years of experience developing and deploying signal processing, sensor fusion, or state-estimation algorithms for real-world sensor applications, including substantial hands-on work with IMU data. - MS or PhD in Electrical Engineering, Biomedical Engineering, Computer Science, Applied Mathematics, or a related quantitative field, or equivalent practical experience. - Strong foundation in digital and statistical signal processing, including filtering, spectral analysis, stochastic processes, and sensor noise characterization. - Demonstrated experience with accelerometer and gyroscope processing, IMU calibration, sensor error modeling, bias estimation, and drift management. - Strong experience with Kalman filtering, including extended or error-state formulations, and model-based sensor fusion; practical understanding of nonlinear estimation, uncertainty propagation, and estimator failure modes. - Practical knowledge of 3D motion and orientation representations, including coordinate frames, rotation matrices, quaternions, and rigid-body kinematics. - Proficiency in Python for algorithm development, data analysis, and experimentation, and C/C++ for efficient embedded implementation; demonstrated experience deploying algorithms to resource-constrained hardware. - Ability to independently investigate complex algorithmic problems, design rigorous validation experiments, and communicate technical tradeoffs with firmware, hardware, and cross-functional partners. - Experience with body-worn sensors, human-motion modeling, motion segmentation, or periodicity analysis is highly desirable. 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 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.

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. WHOOP is hiring a Sensor Intelligence Engineer II to join the Sensor Intelligence team and help advance the next generation of biomedical optical sensing technologies. In this role, you will translate optical sensing concepts into validated systems and algorithms that enable meaningful physiological insights for WHOOP members. Working at the intersection of AD, hardware, firmware, data science, and human physiology, you will combine theoretical modeling, hands-on experimentation, and data analysis to inform future sensing capabilities and product development. RESPONSIBILITIES: - Drive the evaluation and development of next-generation optical sensing concepts, including the definition of technical requirements, design tradeoffs, and validation criteria - Analyze raw time-series and multidimensional optical sensor data and construct signal processing work flows or platform for new physiological sensing etc. - Develop, validate, and improve physiological sensing principle using physics modeling and/or experimentation. - Analyze time-series and multidimensional biomedical sensor data to assess performance, identify artifacts and failure modes, and generate actionable recommendations for system and algorithm improvements - Develop or improve the multiphysics numerical simulation platform to optimize sensor performance or evaluate potential sensing concepts. - Collaborate with partners across Hardware, Firmware, Data Science, Research, and Product to communicate technical findings, influence design decisions, and translate research into scalable WHOOP capabilities QUALIFICATIONS: - Master’s degree or PhD in Electrical Engineering, Biomedical Engineering, Applied Physics, Optics, or a related technical field, or an equivalent combination of education and practical experience - 3+ years of relevant industry or research experience developing biomedical optical sensing systems, signal processing methods, or algorithms - Demonstrated depth in: Analyzing raw time-series and multidimensional optical sensor data, including but not limited to: PPG signal AC, DC, Perfusion Index, Systolic Foot, Systolic Peak, Dicrotic Notch, Diastolic Peak, Crest Time, Diastolic Time, etc. - Experience analyzing time-series or multidimensional data from biomedical sensors, such as PPG, ECG, IMU, EMG, acoustic sensors, or medical imaging systems - Proficiency in Python, C, or C++ for data analysis, algorithm development, prototyping, or system implementation, with the ability to communicate technical findings clearly and deliver high-quality work as requirements evolve - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. PREFERRED QUALIFICATIONS: - Familiarity with biomedical optics or biophotonics, with expertise in one or more areas such as diffuse optical spectroscopy, Raman spectroscopy, tissue optics, experimental optics, or a related field. - Experience with physiological sensing principles, understanding of the human circulation system and respiration system. - Hands-on experience designing, building, and characterizing optical sensing systems or laboratory experiments using components such as LEDs, lasers, photodetectors, lenses, collimators, and optical filters.

Location: Ukraine; Cyprus Workplace: Remote Who Are We? Welltech is a global wellness technology company with Ukrainian roots. Our mission is to build and scale wellness apps globally through state-of-the-art, tech-driven performance marketing. We are one of the most established players in the wellness app space, and we are accelerating. Over 25.5 million people across the world use our apps — Muscle Booster, Yoga-Go, and WalkFit — to build healthier habits, move more, and feel better every day. Every subscription represents a real person making a real change in their life, and we take that seriously. With 500+ people across hubs in Cyprus, Ukraine, Poland, Spain, and the UK, we combine the scale of a market leader and the drive of a team that's just getting WHAT WE'RE LOOKING FOR We spend significantly on Meta, Google Ads and TikTok, and those platforms optimise only as well as the conversion data we send them. Signal quality is a performance lever for us, not a maintenance task. In this role, you’ll own how conversion events reach every ad network, whether they arrive complete and on time, and whether a change we make actually improves campaign performance. You'll work at the intersection of performance marketing, tracking implementation and privacy, partnering with Marketing, Product, Data Engineering, and directly with representatives from Ad Networks. MAIN RESPONSIBILITIES - Marketing & signal optimization — Partner with ad platform representatives to improve conversion signals, assess platform changes, investigate signal-related performance issues, and design measurement approaches for signal/tracking experiments. - Ad network S2S integrations — Design and maintain conversion pipelines for ad networks with support from the Data Engineering team. Ensure timely, deduplicated, and high-quality signal delivery. - New ad platform onboarding — Set up and launch integrations with new ad platforms, covering conversion signal delivery and reporting data feeds for Marketing - GTM management — Manage GTM releases across multiple web properties. Design event architecture for data layers. - Signal quality & monitoring — Monitor Meta EMQ, pixel and CAPI diagnostics, deduplication, Google Ads conversion diagnostics, Enhanced Conversions, click ID capture, and offline conversion uploads. Build monitoring and alerts for errors, latency, coverage, and discrepancies. - UTM & Attribution — Maintain UTM parameters and campaign naming conventions and ensure correct attribution. - Reporting & analytics — Build ad-hoc and monitoring reports for conversion values, bidding performance, signal delivery, and funnel metrics. Define Signal Engineering metrics. - Marketing datasets — Build and maintain custom marketing performance datasets REQUIRED SKILLS AND EXPERIENCE - 4+ years of experience in ad tech, martech, digital measurement or marketing technology - Hands-on with Google Tag Manager, both client-side and server-side - Experience with conversion APIs — Meta CAPI, Google's equivalent, or similar — and server-side event delivery - Strong understanding of browser-side and server-side tracking, and what breaks in each - Hands-on knowledge of at least one ad platform, including campaign types, bidding strategies and conversion setup - Comfortable working operationally with data and SQL — able to query it, diagnose issues and verify signal quality without depending on an analyst - Experience partnering with performance marketing/user acquisition stakeholders and ability to explain complex measurement concepts to performance marketers in plain language - English at B2 or above, written and spoken — you'll hold relationships with Meta and Google representatives directly NICE TO HAVE - Experience with value-based bidding, predicted LTV, or conversion value optimisation — especially for subscription products - Understanding of privacy, consent management and GDPR-compliant tracking - Familiarity with incrementality and holdout testing (Meta or Google Conversion Lift, geo-experiments) to validate whether signal changes actually moved performance - Background in high-growth consumer subscription, e-commerce, marketplaces or gaming - Experience with Google Tag Gateway or first-party serving setups - Experience with first-party data activation or CDPs Candidate journey ⭕️ Recruiter call --> ⭕️ Technical interview --> ⭕️ Take-home Task --> ⭕️ Panel presentation --> ⭕️ Competency Interview Check out some of our products Muscle Booster — https://musclebooster.fitness/ Yoga-Go — https://yoga-go.io/ WalkFit - http://walkfit.pro

Location: Romania; Lithuania; Armenia; Estonia; Latvia; Hungary; Bulgaria Workplace: Remote Who Are We? Welltech is a global wellness technology company with Ukrainian roots. Our mission is to build and scale wellness apps globally through state-of-the-art, tech-driven performance marketing. We are one of the most established players in the wellness app space, and we are accelerating. Over 25.5 million people across the world use our apps — Muscle Booster, Yoga-Go, and WalkFit — to build healthier habits, move more, and feel better every day. Every subscription represents a real person making a real change in their life, and we take that seriously. With 500+ people across hubs in Cyprus, Ukraine, Poland, Spain, and the UK, we combine the scale of a market leader and the drive of a team that's just getting   WHAT WE'RE LOOKING FOR We spend significantly on Meta, Google Ads and TikTok, and those platforms optimise only as well as the conversion data we send them. Signal quality is a performance lever for us, not a maintenance task. In this role, you’ll own how conversion events reach every ad network, whether they arrive complete and on time, and whether a change we make actually improves campaign performance. You'll work at the intersection of performance marketing, tracking implementation and privacy, partnering with Marketing, Product, Data Engineering, and directly with representatives from Ad Networks.   MAIN RESPONSIBILITIES - Marketing & signal optimization — Partner with ad platform representatives to improve conversion signals, assess platform changes, investigate signal-related performance issues, and design measurement approaches for signal/tracking experiments. - Ad network S2S integrations — Design and maintain conversion pipelines for ad networks with support from the Data Engineering team. Ensure timely, deduplicated, and high-quality signal delivery. - New ad platform onboarding — Set up and launch integrations with new ad platforms, covering conversion signal delivery and reporting data feeds for Marketing - GTM management — Manage GTM releases across multiple web properties. Design event architecture for data layers. - Signal quality & monitoring — Monitor Meta EMQ, pixel and CAPI diagnostics, deduplication, Google Ads conversion diagnostics, Enhanced Conversions, click ID capture, and offline conversion uploads. Build monitoring and alerts for errors, latency, coverage, and discrepancies. - UTM & Attribution — Maintain UTM parameters and campaign naming conventions and ensure correct attribution. - Reporting & analytics — Build ad-hoc and monitoring reports for conversion values, bidding performance, signal delivery, and funnel metrics. Define Signal Engineering metrics. - Marketing datasets — Build and maintain custom marketing performance datasets   REQUIRED SKILLS AND EXPERIENCE - 4+ years of experience in ad tech, martech, digital measurement or marketing technology - Hands-on with Google Tag Manager, both client-side and server-side - Experience with conversion APIs — Meta CAPI, Google's equivalent, or similar — and server-side event delivery - Strong understanding of browser-side and server-side tracking, and what breaks in each - Hands-on knowledge of at least one ad platform, including campaign types, bidding strategies and conversion setup - Comfortable working operationally with data and SQL — able to query it, diagnose issues and verify signal quality without depending on an analyst - Experience partnering with performance marketing/user acquisition stakeholders and ability to explain complex measurement concepts to performance marketers in plain language - English at B2 or above, written and spoken — you'll hold relationships with Meta and Google representatives directly   NICE TO HAVE - Experience with value-based bidding, predicted LTV, or conversion value optimisation — especially for subscription products - Understanding of privacy, consent management and GDPR-compliant tracking - Familiarity with incrementality and holdout testing (Meta or Google Conversion Lift, geo-experiments) to validate whether signal changes actually moved performance - Background in high-growth consumer subscription, e-commerce, marketplaces or gaming - Experience with Google Tag Gateway or first-party serving setups - Experience with first-party data activation or CDPs   Candidate journey ⭕️ Recruiter call --> ⭕️ Technical interview --> ⭕️ Take-home Task --> ⭕️ Panel presentation --> ⭕️ Competency Interview   Check out some of our products Muscle Booster — https://musclebooster.fitness/ Yoga-Go — https://yoga-go.io/ WalkFit - http://walkfit.pro

Location: Vancouver, Canada; United States Our client is hiring a Staff-level engineer to lead a highly specialized team building cutting-edge, high-throughput signal processing systems that turn raw satellite radar data into SAR imagery, deployed on the ground and potentially on board spacecraft. Fully remote from the US; optional relocation to Vancouver later. What you will do • Lead the definition, specification, technical risk management, integration, verification and validation of SAR processors, new and existing • Supervise interface control document development; ensure hardware and software components integrate into the larger ground or space segment • Coordinate trade-offs between theoretical algorithms and their implementation on the actual processor • Troubleshoot root causes of processing errors and artefacts in image products and find mitigations; optimize processing time toward near-real-time • Take part in mission design trade-off studies; mentor the team; advise senior management and new business pursuits What you need • Degree in Electrical Engineering, Engineering Physics, Math or Physics (or equivalent) • 12+ years in an engineering environment, including 5+ years on complex signal processing systems (radar, medical imaging, computer vision or similar) and 10+ years in a large product development or systems engineering environment • Solid grounding in high-speed, high-throughput data analysis and transmission design • MATLAB, Python or C++ • Clear communicator to technical, sales, executive and customer audiences • US citizen or permanent resident Nice to have : SAR remote sensing (system design, operation, exploitation, calibration); satellite SAR payload design and operations; FPGA or ASIC based system design; geospatial data.

Location: United States Our client is hiring a Staff-level engineer to lead a highly specialized team building cutting-edge, high-throughput signal processing systems that turn raw satellite radar data into SAR imagery, deployed on the ground and potentially on board spacecraft. Fully remote from the US; optional relocation to Vancouver later. What you will do • Lead the definition, specification, technical risk management, integration, verification and validation of SAR processors, new and existing • Supervise interface control document development; ensure hardware and software components integrate into the larger ground or space segment • Coordinate trade-offs between theoretical algorithms and their implementation on the actual processor • Troubleshoot root causes of processing errors and artefacts in image products and find mitigations; optimize processing time toward near-real-time • Take part in mission design trade-off studies; mentor the team; advise senior management and new business pursuits What you need • Degree in Electrical Engineering, Engineering Physics, Math or Physics (or equivalent) • 12+ years in an engineering environment, including 5+ years on complex signal processing systems (radar, medical imaging, computer vision or similar) and 10+ years in a large product development or systems engineering environment • Solid grounding in high-speed, high-throughput data analysis and transmission design • MATLAB, Python or C++ • Clear communicator to technical, sales, executive and customer audiences • US citizen or permanent resident Nice to have : SAR remote sensing (system design, operation, exploitation, calibration); satellite SAR payload design and operations; FPGA or ASIC based system design; geospatial data.

Cadence is looking to hire a Mixed-Signal Systems and Verification Engineer. The position is open to both experienced professionals and recent graduates. Candidates will be involved in tasks related to mixed-signal system design and verification processes. The role requires knowledge and skills in relevant engineering principles and verification methodologies. Applicants should be prepared to work on complex system-level challenges and contribute to the development and validation of mixed-signal technologies.

Задачи: — Сотрудничество с командами оптики, аналоговой и цифровой электроники для оптимизации дизайна вычислительного движка. — Проектирование и создание внутренних инструментов для точного моделирования и оптимизации аппаратного обеспечения. — Анализ влияния физического шума и искажений сигнала на производительность системы с разработкой математических моделей для их компенсации. — Разработка моделей взаимодействия света и материи в архитектуре для поддержки цифровой и аналоговой команд. — Математическая валидация архитектуры с обеспечением строгих численных доказательств для каждого решения по дизайну. Требования: — Минимум 5 лет опыта в релевантных областях: телекоммуникации, высокоскоростные сенсоры, оптимальное управление, обработка сигналов или смежные сферы. — Глубокие знания и опыт программирования на C/C++ и Python. — Высшее образование в области математики, физики или информатики с глубокими знаниями численного анализа, оптимизации и математического моделирования. — Сильные навыки системного моделирования, включая идентификацию и моделирование источников вариабельности, шума и искажений с помощью аналитических и численных методов. — Высокий уровень любознательности и подход "первых принципов" к решению нестандартных задач в аппаратно-программном кодизайне. — Владение английским языком на профессиональном уровне; знание французского языка будет плюсом. Условия: — Конкурентная денежная компенсация, окончательный пакет зависит от локации, опыта и уровня команды. — Значительный пакет опционов на акции, предлагаемый на ранних этапах компании. — Бонус и покрытие расходов на переезд в радиусе 20 минут от офиса во Франции. — Медицинское страхование, включая семейные опции, пенсионные взносы, поддержка профессионального развития. — 25 дней оплачиваемого отпуска плюс государственные праздники. — Возможность владения ключевой технической областью с перспективами вертикального и горизонтального роста. — Возмещение 50% стоимости проездного на общественный транспорт. — Работа в высокоскоростной, мультикультурной (10 национальностей) и инженерно-ориентированной среде. Процесс найма: — Скрининговый звонок для знакомства. — Техническое собеседование с разбором проектов и достижений. — Интервью с CEO для оценки соответствия культуре и видению. — Референс-чек с бывшими менеджерами. — Техническое задание на дом. — Финальное интервью с обсуждением задания и ответами на вопросы.

Задачи: — Сотрудничество с командами оптики, аналоговой и цифровой электроники для оптимизации дизайна вычислительного движка. — Проектирование и создание внутренних инструментов для точного моделирования и оптимизации аппаратного обеспечения. — Анализ влияния физического шума и искажений сигнала на производительность системы с разработкой математических методов их компенсации. — Разработка моделей взаимодействия света и материи в архитектуре для поддержки цифровой и аналоговой команд. — Математическая валидация архитектуры с обеспечением строгих численных доказательств для каждого решения. Требования: — Минимум 5 лет опыта в релевантных отраслях (телекоммуникации, высокоскоростные сенсоры, оптимальное управление, обработка сигналов или смежные области). — Глубокие знания и опыт программирования на C/C++ и Python. — Высшее образование в области математики, физики или информатики с глубокими знаниями численного анализа, оптимизации и математического моделирования. — Сильные навыки системного моделирования, включая идентификацию и моделирование источников вариабельности, шума и искажений с помощью аналитических и численных методов. — Высокий уровень любознательности и подход "первых принципов" к решению нестандартных задач в аппаратно-программном ко-дизайне. — Владение английским языком на профессиональном уровне; знание французского языка будет плюсом. Условия: — Конкурентная денежная компенсация, окончательный пакет зависит от локации, опыта и уровня команды. — Значительный пакет опционов на акции, предлагаемый на ранних этапах компании. — Бонус и покрытие расходов на переезд в радиусе 20 минут от офиса. — Медицинское страхование, включая семейные опции, пенсионные взносы, поддержку профессионального развития и 25 дней оплачиваемого отпуска плюс государственные праздники. — Владение ключевой технической областью с возможностями вертикального и горизонтального роста. — Возмещение 50% стоимости проезда на общественном транспорте. — Работа в высокоскоростной, мультикультурной (10 национальностей) и инженерно-ориентированной среде. Процесс найма: — Скрининговый звонок для знакомства. — Техническое собеседование с разбором проектов и достижений. — Интервью с CEO для оценки соответствия культуре и видению. — Референс-чек с бывшими менеджерами. — Техническое задание на дом. — Финальное интервью с обсуждением задания и ответами на вопросы.

Location: San Jose, United States; Richardson, United States Summary Client is seeking a highly motivated and self-driven candidate qualified for the position of Signal Integrity Engineer to help design and build market leading Hardware Platform Solutions. The Signal Integrity Engineer will play a critical role as the subject matter expert in the planning of digital PCB designs, simulation, lab verification, and troubleshooting signal integrity issues on completed designs. They will also be expected to help with design review of critical PCBs for signal integrity concerns. Good communications skills and ability to work with physically dispersed teams is a strong requirement. Knowledge/Skills/Competencies Experience on complex PCBAs (36+ layers) PCB design fundamentals (single ended and differential signals), Signal loss, Impedance control, and  Crosstalk (near end and far end) Experienced with single-ended and differential signaling up to 50Gbps Experienced working with component models (touchstone files) and cascading models to generate complete system models for simulation Simulation of digital interfaces ( FPGA to DRAM, SERDES interfaces) Simulation of analog paths through a combination of PCB, connector, and cable (signal driver to DUT) Proficient with 2D and 3D simulation tools (examples include ADS, ANSYS HFSS, Sigrity) Electrical length calculations for signal matching Familiar with looking at signals in both frequency (S-parameter) and time domain and understanding how to interpret results when it comes to suitability for a particular application. Very familiar with generating and interpreting data-eye diagrams up to 50Gbps: NRZ and PAM4 Proficient with Allegro or similar layout tool and schematics PCB Stack up design and familiar with fabrication limitations and cost trade-offs High Frequency board material experience Significant experience with measuring signal performance in the lab: TDR measurements and VNA measurements Able to develop test fixtures for making measurements (both custom design test boards as well as making “adhoc” probing solutions to troubleshoot existing PCBs) Expert in cost vs performance tradeoffs when designing signal paths as cost is key design constraint Experience with flex circuit design for high speed signaling Typical Experience 5-20+ years' experience with High Speed Signal Delivery Design and Evaluation. This includes both signal integrity within a PCB and off the board (board to board connectors, ribbon cables, coaxial cable, etc.). Detailed Description Define and Develop next generation technologies for Networking, server and storage products. Provides innovative solutions to unusually complex and sensitive problems requiring ingenuity and creativity. Serve as technical consultant and technical leader for their team. Engage with customers and suppliers on and product roadmaps and support. Communicates progress toward projects and program goals. Strong ability to lead, motivate and direct a workgroup. Proficiency in hardware systems environments and detail oriented. Typical Education Bachelor’s degree in Electrical Engineering, Master’s is preferred

Location: Richardson, United States; San Jose, United States Signal Integrity Engineer Locations: On-site in Richardson, TX or San Jose, CA Type: Permanent / Full-time Compensation: Competitive and commensurate with experience (multiple openings available) About the Role We’re seeking highly skilled Signal Integrity Engineers to join a top-tier hardware engineering team developing next-generation networking, server, and storage technologies. This is a permanent, on-site position located in either Richardson, TX or San Jose, CA. As a Signal Integrity Engineer , you'll serve as a subject matter expert in high-speed signal delivery and analysis. You’ll work cross-functionally on complex PCB designs, performing simulations, lab testing, and root cause analysis to ensure signal quality and system performance. You will also participate in design reviews and provide technical guidance throughout the product lifecycle. Key Responsibilities Design and validate high-speed signal paths for digital and analog interfaces. Perform 2D/3D simulations (e.g., S-parameters, eye diagrams, crosstalk, impedance control). Conduct lab measurements including TDR and VNA; develop custom test fixtures. Collaborate with hardware, layout, and system engineering teams on board design and stack-up. Evaluate and model component-level behavior (e.g., Touchstone files). Drive design decisions balancing performance, manufacturability, and cost. Support signal integrity across complex PCBAs (36+ layers), connectors, flex circuits, and cabling. Required Skills & Experience 5 to 20+ years of experience in high-speed signal integrity engineering. Strong background in PCB signal integrity (both on-board and off-board transmission). Proficient in tools like ADS, ANSYS HFSS, Sigrity , and Allegro or similar ECAD platforms. Experience with single-ended and differential signaling up to 50Gbps , including NRZ and PAM4 . Deep understanding of PCB design fundamentals , crosstalk, impedance, and loss modeling. Skilled in generating and analyzing eye diagrams , and interpreting both time and frequency domain results. Familiar with PCB stack-up design , fabrication limitations, and high-frequency materials. Hands-on experience with flex circuit design , ribbon cables, coax, and board-to-board connectors. Preferred Qualifications Master’s Degree in Electrical Engineering (Bachelor’s required). Experience leading design reviews or acting as a technical mentor. Exposure to hardware platform development for networking or data center products. Strong communication skills and experience working with cross-regional teams.

Location: Limassol, Cyprus Spotware Systems is looking for a hands-on Media Buying Operations Manager for our new direct-to-consumer trading product built on the cTrader ecosystem. You will build, run, and scale the media-buying network and the ad-ops / martech spine - turning testing funnels and cohorts into registered, funded, and actively trading cTrader users. Responsibilities Source, onboard, and manage a network of external performance-pay media-buying units. Set the units' pay schemes (fixed + performance) and allocate them across funnel × geo, deploying onto winning combinations. Scale the network as testing widens, cut underperformers, and own the unit-count ramp against live cost-per-funded-account and conversion-rate signal. Launch the first geos hands-on - run the initial media-buying units yourself, as a buyer, until the external network is stood up. Run QA and anti-fraud on unit output, and reconcile performance-based payouts against verified funded accounts. Be the single point of contact between the in-house team and the external units - give them clear briefs (offer, brand and creative guidelines, tracking setup), collect their performance data, and feed it back into what we test, prioritize, and scale next. Own advertising accounts, tracking pixels, server-side tracking, mobile attribution, and first-party data in-house. Report acquisition performance against CAC, funded-account quality, and net deposit, working with the analyst on the measurement spine. Requirements 5+ years in performance marketing / paid UA, owning budgets and scaling spend to six figures/month against CPA and volume targets. Proven track record building and managing a network of external buyers / buying teams / JV partners - sourcing, perf-pay deals, allocation, anti-fraud, payout reconciliation - not just running own campaigns. High-CPA, conversion-driven vertical experience (iGaming, gambling, forex / CFD, crypto, dating, nutra). Hands-on ownership of the ad-ops / martech stack - ad accounts, pixels, conversion APIs, trackers (Voluum / Keitaro / RedTrack), product analytics (Amplitude / PostHog / Mixpanel), MMP (AppsFlyer / Adjust). Multi-geo acquisition, ideally across emerging markets (Tier 2-3), with localization handled at the unit level. Strong analytical command - reads funnel / cohort data and acts on unit economics (CAC, LTV, payback, net deposit, retention). AI-native by default - runs the network and stack on AI and automation, with minimal manual labor. Soft skills: hands-on operator (not a pure manager), comfortable with ambiguity and autonomy, clear communicator across commercial, creative, and technical counterparts. Conditions Private medical insurance. Relocation support (if applicable), including an entry permit, relocation bonus, flight tickets, and airport pickup. Support with settling into life in Cyprus, including basic guidance on everyday matters, accommodation, banking, and healthcare. A comfortable office environment with fresh fruits every day, treats or pizza on Wednesdays, and snack day on Fridays. Fair remuneration based on your experience, skills, and level of responsibility. Welcome Baby Bonus and Baby Box to celebrate the arrival of a child. Birthday voucher. Partial compensation for sports activities and wellness initiatives. Greek language classes.

Location: Limassol, Remote Workplace: remote We are looking for a talented Senior UA Manager (SRN) to join our team! In this role, you’ll work on large-scale international projects with budgets starting at $300,000 per month . You’ll manage traffic acquisition on platforms like Facebook, TikTok, and Snapchat, explore new traffic sources, and optimize existing advertising strategies. Your responsibilities will include planning, launching, and refining campaigns to ensure the success of our games and reach millions of players worldwide. If you’re passionate about discovering innovative mobile marketing solutions and want to work with cutting-edge tools in a professional team, this is your time to shine! Key Responsibilities Manage international mobile projects with budgets starting at $300,000 per month (Monetization models: IAP and IAP+IAA) Development and implementation of methodologies for working with new types of targeting Plan, launch, and manage ad campaigns to consistently meet KPIs Generate and test hypotheses to improve campaign performance Automate routine tasks in the procurement process Collaborate with the creative team to find signals at your source Maintain effective communication with traffic source representatives Skills, Knowledge and Expertise Proven working experience as an User Acquisition Manager within the gaming industry Hands-on experience with Facebook Ads, Google Ads, TikTok  (familiarity with Snapchat and other channels will be a plus) Proficiency in mobile attribution fundamentals with experience using AppsFlyer or Adjust Strong understanding of advertising campaign performance metrics (ROI, ROAS, ARPU, ARPPU, LTV, etc.) and the ability to analyze and optimize large datasets Solid knowledge of unit economics and its application to ad strategies Proven experience managing and scaling advertising campaigns with budgets exceeding $300,000 per month Advanced proficiency in Excel/Google Sheets and BI tools like Tableau Expertise in market analysis with the ability to identify growth opportunities Experience with UA automation tools and automating any part of the user acquisition process Strong grasp of A/B testing, from designing experiments to analyzing results English proficiency at B2 level or higher – for effective negotiations, market analysis, and communication with international partners Knowledge of Russian language Understanding of SkadNetwork principles (will be a plus) Benefits Flexible work environment: work remotely from home or in our office in Cyprus Paid holidays and sick leave to prioritize your health and well-being Competitive salary based on interview results and annual performance reviews Bonus system tied to the company's success and performance Opportunities to attend conferences, workshops, and meetups English classes Cool corporate parties and team-building events Holiday Gifts: celebrate special occasions with thoughtful holiday gifts from the company Free lunches in our office: enjoy a pleasant time over a meal with your colleagues

Location: London, United Kingdom Workplace: hybrid The Commercial Lead will own the sales pipeline and revenue, driving outbound sales and managing complex B2B deals with AI and data companies, from qualification and pilots to recurring contracts. The role also includes developing strategic partnerships and channels, shaping pricing and commercial terms, and bringing customer demand and market insights back to product and operations. Key Responsibilities Own the pipeline and the number Build and run outbound to AI labs, applied AI companies, and data vendors who need collection capacity they don't have in-house. Qualify hard and early: match buyer requirements against what our network can realistically deliver, and walk away from deals that don't fit. Run complex, technical deals Sell to technical buyers - data leads, research managers, ML and data ops teams - in long, spec-heavy, consultative cycles. Collect buyer requirements (languages, demographics, modality, annotation depth, licensing scope), push back when a spec isn't deliverable. Manage pilots and convert them into recurring volume. Shape pricing and commercial framework Own our price book across modalities (per audio hour, per image, per video hour, per annotated unit) and defend margin against buyer pressure and vendor benchmarks. Alongside with the business unit leader work with legal, privacy and tax on DPAs, consent frameworks,contracts across multiple jurisdictions. Build the channel Develop partnerships with data vendors and platforms who can route demand to us where we have coverage they lack. Represent DataTasks at the venues where this market actually buys - research conferences, data and AI events, and buyer-side procurement teams. Feed the roadmap Bring structured demand signal back into product and operations Qualifications Must have Experience in B2B sales, business or commercial roles, with a track record of closing complex deals you personally sourced and ran. Direct experience in AI/ML data, data annotation and labelling services, data licensing, or a closely adjacent technical services market. Comfort selling to technical and research buyers. Genuine zero-to-one appetite. There is no inbound, no established brand in this market, and no playbook to inherit. Fluent English, written and spoken, at a level suitable for negotiating with US and EU counterparties. Nice to have An existing network among AI labs, data vendors, or enterprise AI teams. Experience operating in or selling data from emerging markets. Working knowledge of data protection regimes (GDPR, LGPD, and equivalents in our operating markets). Additional languages, particularly Spanish, Portuguese or Russian. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid You will lead analytics for the Services cluster — the set of domains that protect trust, safety, and quality across every interaction on our platform. This is where the integrity of the marketplace is safeguarded and where millions of passengers and drivers experience inDrive as a safe and reliable place to be. Your teams will span five closely connected areas: Watchdocs (driver document verification and work with the compliance base), Trust & Safety (everything related to trust and safety in rides — incidents and safety features), Customer Support (both the product tooling for handling user requests and the automation of that work, plus WFM analytics of support agents' performance), Customer Experience (Voice-of-the-Customer feedback and connecting satisfaction metrics such as CSAT/DSAT to business metrics), and Antifraud (protecting rides, transactions, ratings, and more from abuse across inDrive). You will build and manage a team that partners closely with product, operations, support, and compliance to turn a large volume of behavioral, operational, and feedback signals into decisions that reduce risk and improve experience at the same time. From detecting and quantifying fraud across rides and transactions, to measuring the real business impact of safety features and support automation, to linking customer-feedback metrics (CSAT/DSAT) with core business outcomes — your work will define how the company balances protection, cost, and user satisfaction. In this role, you will act as a strategic partner to product and business leaders, as well as to Trust & Safety and Compliance stakeholders — shaping the analytics agenda for the Services cluster, defending its strategy in front of senior leadership, and building scalable processes, metrics, and standards that make trust and safety measurable across the whole platform. Key Responsibilities Own the analytics strategy and roadmap for the Services cluster (Watchdocs, Trust & Safety, Customer Support, CX, Antifraud), align it with company-level priorities, and defend it in front of senior leadership Build, grow, and develop a team of 11+ (analysts) — hiring, mentoring, and setting quality standards across the cluster Lead Antifraud analytics : detect and quantify fraudulent behavior across rides, transactions, and ratings; evaluate the effectiveness of anti-fraud rules and models and their trade-off with false positives Drive Trust & Safety analytics : measure incident rates, evaluate the impact of safety features, and help prioritize initiatives that reduce risk for passengers and drivers Oversee Customer Support analytics : assess support tooling and automation effectiveness, contact-rate drivers, resolution quality, and WFM analytics for agent capacity and performance Lead CX analytics : connect Voice-of-the-Customer metrics (CSAT/DSAT) to business outcomes such as retention and revenue, and turn feedback into prioritized product and operational actions Guide Watchdocs analytics : the document-verification funnel, compliance coverage, and the balance between compliance rigor and a smooth driver onboarding experience Define and standardize metrics, definitions, and monitoring across the cluster; ensure data quality in partnership with DWH, DS, and Engineering Establish best practices in experimentation (A/B testing), causal inference, forecasting, and effect measurement across the team Partner cross-functionally at the company level (Product & Tech & Business, DWH, DS, Engineering) and act as a trusted advisor to Head / Director / C-suite stakeholders Skills, Knowledge and Expertise 6+ years of experience in data or product analytics, preferably in tech, ride-hailing, marketplace, or platform businesses 2+ years of people management, leading teams of 10+ people, including other managers or team leads Strong expertise in SQL and Python (or R), with a solid foundation in statistics and experimentation (A/B testing, causal inference) Proven ability to translate large volumes of behavioral, operational, and feedback data into decisions that balance risk, cost, and user experience Experience partnering with senior stakeholders (Head / Director / C-suite) and forming and defending strategy at the company level Proficiency in BI tools (Tableau, Looker, Redash, or similar) Strong communication skills and the ability to present complex findings clearly to both technical and non-technical audiences English proficiency at B2 or higher for international collaboration Nice to Have Hands-on experience in one of the Services domains — Trust & Safety, Antifraud, Customer Support / WFM, CX / Voice-of-the-Customer, or compliance Experience with fraud / risk modeling, anomaly detection, or safety analytics Familiarity with text / sentiment analysis for customer-feedback data Experience scaling analytics across multiple countries and verticals Why join us Help us challenge injustice by creating fair choices for millions of people across 48 countries Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Annual salary from EUR 90 700 gross Final benefits may vary depending on the location.