Вакансии

Требования: — Степень бакалавра или диплом в области электротехники, электроники, информатики, железнодорожного дела, мехатроники, приборостроения или смежной дисциплины. — Предпочтение кандидатам с опытом стажировки, академического проекта или до пяти лет опыта в области встроенных систем, тестирования программного обеспечения, интеграции или железнодорожной инженерии.

Требования: — Степень бакалавра в области электротехники, электронной технологии, электротехнической технологии, электротехники и компьютерной инженерии или смежной области.

Задачи: — Техническое обслуживание и устранение неполадок роботизированных сборочных систем. — Обеспечение бесперебойной работы оборудования. — Поддержка клиентов и удалённых технических специалистов. Требования: — Знания и опыт работы с механикой, электромеханикой и программированием. — Опыт работы с системами Beckhoff, Fanuc, PLC. — Навыки работы с SolidWorks, Zebra, принтерами, системами Vision, Cognex, Matrox. — Опыт анализа данных и работы с системами автоматизации Hermes. Условия: — Работа в офисе в городе Корк, Ирландия. — Годовая зарплата от 75,000 до 80,000 долларов США.

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 Signal Processing 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.

Требования: — быть студентом последнего курса или выпускником по специальностям Электротехника, Компьютерная инженерия или Связь. — знание беспроводных коммуникаций, реализация на FPGA, кодирование HW/RTL, моделирование в Matlab и цифровая обработка сигналов будет преимуществом.

Должностные обязанности: Ищем человека, которому мало просто писать код на C++. Задача - разрабатывать DSP и PHY/MAC современных спутниковых и наземных цифровых модемов: MATLAB → C++ → FPGA/ARM/SoC → RF → готовое изделие. В работе: C++17/20 · DSP · MATLAB/Simulink · Linux · synchronization · modulation/demodulation · FEC/LDPC · channel estimation · TDMA/MF-TDMA · FPGA · Embedded Linux · high-performance / real-time. Знание/опыт: Нужен 5+ лет C++ + реальный DSP + теория цифровой связи. Будет большим плюсом: DVB-S2/S2X, VSAT, SDR, GNU Radio, OFDM, QPSK/QAM/APSK, FPGA DSP, SIMD/NEON/AVX. Условия труда: Что предлагаем: 💻 гибрид · 5/2 · 10:00–19:00 ±1 час 📄 ТК РФ 💰 стабильная конкурентная зарплата ⚙️ реальные hardware/software-проекты, а не формальный «инновационный» стек 🚀 сильная инженерная команда и пространство для роста

Location: Montreal, Canada 📍 Location: Montreal, Canada 📄 Employment Type: Full-Time 🏢 Work Arrangement: Remote Opportunity for US and Canadian citizens. Relocation allowance + bonus for European and UK Candidates. 🚀 Start Date: Immediate 💰 Compensation: TBD -- based on skills and experience Important Screening Requirements Must be eligible to obtain or hold Controlled Goods Program (CGP) clearance . H-1B visa holders are welcome to apply. Remote Opportunity for US and Canadian citizens. Relocation allowance + bonus for European and UK Candidates. About the Role We are seeking an experienced Satellite Database Systems Engineer to support the development, integration, and maintenance of satellite mission databases for advanced LEO and MEO communication systems. In this role, you will work closely with flight software, mission operations, and systems engineering teams to ensure the accuracy, reliability, and integrity of satellite telemetry and command databases. The ideal candidate has extensive experience with satellite database systems, mission control environments, and flight operations for commercial or government space programs. Key Responsibilities Design, develop, and maintain satellite telemetry and command databases for mission operations. Support the integration of satellite databases with mission control systems and flight software. Develop and manage MIB (Management Information Base) telemetry and command databases. Validate database configurations to ensure accuracy and operational readiness. Collaborate with systems engineering, flight software, and mission operations teams throughout the project lifecycle. Support database testing, troubleshooting, and performance optimization. Maintain technical documentation, database configurations, and operational procedures. Contribute to the successful deployment and operation of LEO/MEO satellite communication missions. Required Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Aerospace Engineering , or a related technical field. 10+ years of relevant experience. Experience working with MIB telemetry and command databases for satellite mission operations. Familiarity with satellite telemetry ground systems, mission control software, and flight software integration. Experience supporting Satellite Database development for LEO and/or MEO communication constellations . Strong understanding of satellite mission operations, telemetry processing, and command database management. Preferred Qualifications Experience supporting commercial or government satellite mission operations. Experience with satellite ground systems integration and mission control platforms. Familiarity with systems engineering processes for space missions. Strong analytical, troubleshooting, and cross-functional collaboration skills.

Location: Montreal, Canada 📍 Location: Montreal, Quebec, Canada 📄 Employment Type: Contract-to-Permanent (Preferred) / Contract 🏢 Work Arrangement: Remote Opportunity for US and Canadian citizens. Relocation allowance + bonus for European and UK Candidates. 🚀 Start Date: Immediate 💰 Compensation: TBD -- based on skills and experience Important Screening Requirements Must be legally eligible to work in Canada . Must be capable of obtaining the required security clearance . English proficiency is required. French is considered an asset. Strong hands-on experience with spacecraft Command & Data Handling (C&DH) systems is required. About the Role We are seeking an experienced Satellite Command & Data-Handling (C&DH) System Engineer to support the design, integration, verification, and operation of onboard command, control, and data-management functions for current and next-generation remote sensing and communications satellite programs. In this role, you will contribute to the C&DH functional architecture , drive technical trade studies, support system integration and verification, and provide technical leadership throughout the spacecraft lifecycle. Key Responsibilities Translate mission-level requirements into C&DH functional and non-functional requirements. Develop and maintain system requirements, Interface Control Documents (ICDs), and system descriptions. Maintain bidirectional requirements traceability throughout the project lifecycle. Support cybersecurity and resilience considerations within C&DH system design. Lead detailed design activities involving: Onboard processors Spacecraft data buses Memory subsystems I/O interfaces Support software architecture activities, including command sequencing, telemetry packetization, health monitoring, and FDIR. Support Satellite Reference Database development and validation. Define uplink command formats, downlink telemetry structures, and ground-segment data-handling interfaces. Collaborate with Flight Software (FSW), TT&C/PDT, and Ground Segment teams to ensure end-to-end data integrity. Develop verification plans, test matrices, and validation procedures for unit, subsystem, and spacecraft-level C&DH testing. Execute functional testing, bus-protocol compliance testing, and SIL/HIL campaigns. Lead anomaly investigations, root-cause analysis, and corrective-action activities. Support spacecraft launch preparation, early-orbit checkout, and on-orbit operations. Analyze on-orbit telemetry and support updates to operational parameters as required. Support SOOH development and operator training. Contribute to technical standards, process improvements, technology roadmaps, and engineering knowledge bases. Support major design reviews, including SRR, PDR, CDR, MRR, and TRR . Mentor junior engineers and serve as a technical liaison with customers, partners, and vendors. Required Qualifications Bachelor's degree in Electrical Engineering, Aerospace Engineering , or a related field. 8+ years of C&DH engineering experience on LEO, MEO, and/or GEO satellite platforms . Deep knowledge of spacecraft data-bus and communication standards, including: SpaceWire MIL-STD-1553 CAN Ethernet CCSDS packet telemetry and command PUS services Knowledge of processors, FPGA, firmware, and embedded systems . Strong understanding of aerospace systems engineering fundamentals, space environment, and orbit mechanics. Hands-on experience supporting systems integration, testing, troubleshooting, and problem resolution . Experience with Confluence and JIRA . Ability to work independently with minimal supervision. Strong analytical and problem-solving skills, with the ability to break down complex technical problems into fundamental components. Excellent written and verbal communication skills in English . Preferred Qualifications Experience supporting end-to-end spacecraft C&DH development and integration. Experience with spacecraft commissioning, early-orbit operations, and on-orbit telemetry analysis. Experience with FDIR , command sequencing, telemetry processing, and spacecraft health monitoring. Experience with SIL/HIL testing and spacecraft bus-protocol compliance verification. French language proficiency. Experience supporting satellite programs through the full lifecycle, from early concept and design through launch and on-orbit operations.

Location: Montreal, Canada 📍 Location: Montreal, Quebec, Canada 📄 Employment Type: Contract-to-Permanent (Preferred) / Contract 🏢 Work Arrangement: Remote Opportunity for US and Canadian citizens. Relocation assistance + bonus for European and UK candidates. 🚀 Start Date: Immediate 💰 Compensation: TBD -- based on skills and experience Important Screening Requirements Must be legally eligible to work in Canada . Must be capable of obtaining the required security clearance . English proficiency is required. French is considered an asset. Candidates must have strong experience with fault-tolerant embedded systems supporting LEO, MEO, and/or GEO spacecraft missions. About the Role We are seeking an experienced Satellite Bus Flight Software Systems Engineer to lead and support the system-level definition, architecture, integration, verification, and operational readiness of flight software for current and next-generation spacecraft platforms. This is a systems engineering and technical leadership role at the intersection of spacecraft architecture, platform subsystems, embedded flight software, avionics, mission operations, and verification. You will ensure that spacecraft bus flight software meets platform and payload functional, performance, autonomy, safety, reliability, and operational requirements throughout the full spacecraft lifecycle—from early architecture and detailed design through integration, launch preparation, commissioning, and on-orbit operations. Key Responsibilities Translate functional, performance, safety, and security requirements into flight software requirements and architecture. Allocate requirements to software modules and execution threads while maintaining bidirectional requirements traceability. Define Flight Software (FSW) architecture, including: RTOS Initialization PUS services Autonomy Health monitoring Fault management Payload interfaces Define FDIR algorithms , isolation logic, recovery actions, safe-mode sequencing, and redundancy management. Guide the integration of FDIR logic into flight software. Develop and maintain Interface Control Documents (ICDs) for payload, platform, and ground-segment interfaces. Support Satellite Reference Database development and validation. Collaborate with payload, platform, ground-segment, and mission-operations teams to identify and resolve integration issues. Develop and support Flight Software Verification Plans and integration testing. Support SIL, HIL, fault-injection, performance, and security testing . Support verification and test automation frameworks, test case development, results analysis, and test-report certification. Support spacecraft mode and operational procedure development. Analyze on-orbit telemetry and support software updates and operational improvements. Support SOOH development and operator training. Participate in major design reviews, including SRR, PDR, CDR, MRR/TRR . Mentor junior engineers and serve as a technical liaison with customers, partners, and vendors. Contribute to engineering standards, process improvements, technology roadmaps, and lessons learned. Required Qualifications Bachelor's degree in Electrical Engineering, Aerospace Engineering, Computer Science, Embedded Systems , or a related field. 10+ years of experience working with fault-tolerant embedded systems on LEO, MEO, and/or GEO satellite missions . Experience with: CCSDS ECSS PUS services MIL-STD-1553 SpaceWire RS-422/485 CAN Ethernet Experience with real-time computing cores and/or embedded Linux . Experience with auto-coding or automated code-generation workflows. Strong understanding of aerospace systems engineering fundamentals. Hands-on experience supporting systems integration, testing, troubleshooting, and problem resolution . Experience with Confluence and JIRA . Ability to work independently with minimal supervision. Strong analytical and problem-solving skills, with the ability to break down complex technical challenges into fundamental components. Excellent written and verbal communication skills in English . Preferred Qualifications Experience with end-to-end spacecraft flight software development and integration. Experience with FDIR, spacecraft autonomy, safe-mode management, and redundancy management . Experience supporting spacecraft commissioning and on-orbit operations . Experience with SIL/HIL , fault injection, and automated verification frameworks. Experience integrating flight software with spacecraft payloads, avionics, and ground systems. French language proficiency. Experience supporting satellite programs from early concept and architecture through launch and on-orbit operations.

Location: Montreal, Canada 📍 Location: Montreal, Quebec, Canada 📄 Employment Type: Full-Time 🏢 Work Arrangement: Remote Opportunity for US and Canadian Citizen 🚀 Start Date: Immediate 💰 Compensation: TBD -- based on skills and experience Important Screening Requirements Must be legally authorized to work in Canada . Must be eligible to obtain the required security clearance. Candidates may be based in the United States, Canada, or Europe , provided they meet work authorization and security clearance requirements. About the Role We are seeking a Payload System Verification & Validation Engineer to support the verification and validation of advanced digital telecommunications payloads. In this role, you will develop and execute comprehensive test plans, validate system requirements, and ensure the performance and reliability of next-generation payload architectures. The ideal candidate has a strong background in telecommunications systems, RF testing, and verification methodologies, with experience working on complex digital payloads in the aerospace, telecommunications, or related industries. Key Responsibilities Develop and execute verification and validation (V&V) plans for digital telecommunications payload systems. Perform requirements verification through system-level and component-level testing. Validate the performance of digital payload architectures, including Software Defined Radio (SDR) processors and digital beamforming systems. Conduct RF testing using industry-standard test equipment and methodologies. Develop test automation scripts and analyze test data using Python, MATLAB, or similar tools. Configure and control laboratory test equipment using SCPI, VISA, and related interfaces. Collaborate with hardware, software, systems, and integration teams to resolve technical issues and ensure system compliance. Prepare technical documentation, test reports, and verification evidence to support project milestones. Required Qualifications Bachelor's degree in Electrical Engineering, Telecommunications, Aerospace Engineering , or a related field. 5+ years of experience in telecommunications systems, particularly digital payloads (experience outside the space industry will also be considered). Strong expertise in requirements verification through testing , including the development and execution of test plans. Solid understanding of: Digital payload architectures Software Defined Radio (SDR)-based flexible processors Digital beamforming using DRA Hands-on experience with: Vector Network Analyzers (VNA) Spectrum Analyzers Baseband Signal Generators Channel Emulators Bit Error Rate (BER) Testers Python, MATLAB, or LabVIEW for test automation and data analysis SCPI, VISA, and similar interfaces for instrument control Preferred Qualifications Experience with FPGA-based systems and embedded software architectures. Experience supporting satellite payload verification, telecommunications systems, or aerospace programs. Familiarity with RF system integration, system verification, and digital communication technologies. Strong analytical, troubleshooting, and cross-functional collaboration skills.

Location: Montreal, Canada 📍 Location: Montreal, Quebec, Canada 📄 Employment Type: Full-Time 🏢 Work Arrangement: Remote Opportunity 🚀 Start Date: Immediate 💰 Compensation: TBD -- based on skills and experience Important Screening Requirements Must be legally authorized to work in Canada . Must be eligible to obtain the required security clearance. Candidates may be based in the United States, Canada, or Europe , provided they meet work authorization and security clearance requirements. About the Role We are seeking a Payload System Software Integration Engineer to lead the integration of software for advanced digital telecommunications payloads. In this role, you will coordinate software integration across complex distributed systems, support the development of Software Defined Radio (SDR) and digital beamforming technologies, and work closely with multidisciplinary teams to ensure seamless system performance. The ideal candidate has strong experience in software integration, embedded systems, and aerospace or telecommunications environments. Key Responsibilities Lead software integration activities for digital telecommunications payload systems. Integrate and validate software across complex, distributed system architectures. Collaborate with hardware, software, systems, and test engineering teams to ensure successful system integration. Support the development and integration of Software Defined Radio (SDR) and digital beamforming technologies. Work with embedded software, real-time operating systems (RTOS), FPGA interfaces, and communication protocols. Develop and maintain automated testing and CI/CD pipelines to improve software quality and deployment. Identify, assess, and mitigate technical risks associated with software integration. Prepare technical documentation and support system verification and validation activities. Required Qualifications Bachelor's degree in Software Engineering, Computer Science, Electrical Engineering , or a related field. 5+ years of experience in software development and integration, preferably within the aerospace or telecommunications industry. Experience leading software integration activities in complex, distributed systems. Strong understanding of digital telecommunications payloads, including Software Defined Radio (SDR) and digital beamforming architectures. Familiarity with: Embedded software development Real-Time Operating Systems (RTOS) FPGA interfaces Communication protocols Hands-on experience with: Test automation CI/CD practices GitLab Jenkins Python MATLAB Docker Strong collaboration, communication, and technical risk management skills. Preferred Qualifications Experience supporting satellite payload or space systems integration. Knowledge of aerospace software development lifecycle and systems engineering practices. Experience with mission-critical or safety-critical software systems. Familiarity with satellite communications or digital payload technologies.

Location: Montreal, Canada 📍 Location: Montreal, Canada 📄 Employment Type: Full-Time 🏢 Work Arrangement: Remote Opportunity 🚀 Start Date: Immediate 💰 Compensation: TBD -- based on skills and experience Important Screening Requirements Must be eligible to obtain or hold Controlled Goods Program (CGP) clearance . H-1B visa holders are welcome to apply. Relocation assistance is available for qualified candidates. About the Role We are seeking an experienced Flight-Operations Systems Engineer to support the design, integration, and operation of advanced satellite systems. In this role, you will contribute to flight operations, satellite automation, and ground segment integration for Low Earth Orbit (LEO) and Medium Earth Orbit (MEO) satellite missions. The ideal candidate has a strong background in satellite operations, flight software, and systems engineering, with experience supporting mission-critical space programs. Key Responsibilities Support the design, integration, and operation of satellite flight systems. Develop and enhance automated satellite operations and operational workflows. Contribute to space and ground segment design, specification, and system integration. Support flight software integration and its role in satellite operations. Work with satellite databases, telemetry structures, and operational data systems. Develop automation tools and scripts using Python or other scripting languages. Collaborate with multidisciplinary engineering teams to ensure mission success. Participate in system testing, validation, and operational readiness activities. Required Qualifications Bachelor's degree in Engineering or a related technical field. 7+ years of relevant engineering experience. Experience supporting LEO and/or MEO satellite operations (SatOps) . Experience with automated satellite operations and IoT technologies. Strong understanding of: Space and ground segment design, specification, and integration Flight software and its role in satellite operations Satellite database operations Telemetry structures and operational concepts Experience with Python or other scripting languages. Preferred Qualifications Experience supporting end-to-end satellite mission operations. Knowledge of satellite command and control systems. Experience working in commercial or government space programs. Familiarity with systems engineering best practices for space missions.

Задачи: — Создание современных систем беспроводной связи с близкими к предельным характеристиками. — Реализация алгоритмов приема и передачи физических стеков радиоинтерфейсов (ЦОС): цифровая компрессия (CFR) и линеаризация (DPD); частотная, временная, фазовая, символьная синхронизация; оценка канала и эквализация; помехоустойчивое кодирование, модуляция и демодуляция; системы автоматической регулировки усиления; цифровое и аналоговое диаграммообразование, пространственная фильтрация и мультиплексирование; MIMO, mesh. — Разработка протоколов работы радиосетей (многоточка, роуминг, mesh). — Реализация физических стеков стандартных 5G NR / DVB-S2x и проприетарных C-OFDMA / SC-FDMA радиоинтерфейсов. — Разработка кода для работы с высокоскоростными интерфейсами (Ethernet, JESD, PCI Express и другие). — Разработка управляющих программ uBlaze. — Тестирование и отладка кода в изделиях с использованием контрольно-измерительного оборудования. — Взаимодействие с алгоритмической командой, командой разработки РЧ трактов и вычислительных блоков. Требования: — Высшее профильное образование в области радиоэлектроники, радиотехники, радиофизики или программирования. — Опыт программирования ПЛИС не менее 3 лет. — Знание Verilog, System Verilog, VHDL, C, архитектуры ПЛИС Xilinx, САПР Xilinx Vivado. — Глубокие знания в области цифровой обработки сигналов. — Знания в областях радиосвязи, интерфейсов, цифровой высокоскоростной схемотехники, радиоэлектронных устройств и приборов. — Умение работать с контрольно-измерительным оборудованием. — Опыт работы с Git. Условия: — Трудоустройство по ТК РФ. — Стабильная "белая" заработная плата. — График 5/2 с 9:00 до 18:00. — Доставка до места работы на служебном транспорте (район Кольцово). — Корпоративное питание. — Конкурентная заработная плата. — Интересные проекты и работа с передовыми технологиями. — Современное оборудование, любое аппаратное обеспечение для эффективного выполнения задач. — Возможности для саморазвития: тренинги, конференции, обучение. — Окончательный уровень заработной платы определяется по результатам технического собеседования в соответствии с опытом, знаниями и навыками кандидата.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As an AV Engineer focused on Platform & Automation, you'll build and own the software layer of Anthropic's collaboration systems — the tools, integrations, and engineering practices that let a small AV team support a fast-growing global office portfolio. Our rooms, event spaces, and broadcast systems are increasingly managed through APIs and code: device management platforms, DSP and control systems, conferencing administration, ticketing, and paging. Your job is to turn that surface into reliable, team-owned tooling, and to bring software engineering discipline to how we build and maintain it. You can expect a lot of your time writing, shipping, and operating code — fleet health monitoring, automated room testing and ticketing, integrations between our AV platforms and IT systems, and the internal tools that AV Engineering, AV Operations, and Events rely on every day. You'll also help own the administration of the software platforms we already run, and set the standards for how the team version-controls, reviews, tests, releases, and maintains everything from DSP designs to firmware to internal services. Responsibilities Design, build, and ship internal tools and integrations that monitor, test, and manage AV and collaboration systems across every office Develop fleet health monitoring and automated room testing that catch failures before users report them and open actionable tickets automatically Build integrations across device and platform APIs — Q-SYS (including plugins and Lua control scripts), Logitech Sync, Google Meet hardware, digital signage; and IT systems such as Jira, Slack, PagerDuty, and Google Workspace Automate repetitive operational work: provisioning, configuration baselines, drift detection, certificate renewal, and asset data — with code others can read, test, and maintain Own administration and lifecycle of the software platforms behind the AV estate, including firmware and software release management with staged rollouts and rollback plans Operate internal tools as production services, with monitoring, alerting, service metrics, and runbooks, on team-owned repositories and service identities so nothing depends on one person Establish the team's engineering practices: source control, code review, testing, CI/CD, and release — and bring AV configuration under version control, with standards set for integrator deliverables and acceptance verified before changes land Enable AV Engineers, Operations Specialists, and Production staff to contribute safely through templates, guardrails, and review paths built for non-developers Partner with Security, IT Engineering, and Network on least-privilege API access, secrets management, and integration with enterprise standards Gather requirements from AV Operations, Events, and AV Engineering, prioritize the tooling roadmap by operational impact, and decide where to build, buy, or push a vendor to close a gap You May Be a Good Fit If You: Have 10+ years of experience across AV, collaboration, or IT systems engineering, including 4+ years writing, shipping, and maintaining production code that other people depend on Are fluent in at least one general-purpose language: Python, Lua, Go, TypeScript, or similar — and comfortable with shell scripting Practice engineering fundamentals by default: Git-based workflows, code review, automated testing, CI/CD, logging, and observability Understand how AV and collaboration systems work: DSP and control, conferencing platforms, room devices, signal flow, AV-over-IP — well enough to build reliable tools on top of them Have built integrations against REST APIs, webhooks, and vendor SDKs, and know how to handle auth, rate limits, pagination, retries, and partial failure Have owned a tool or service in production over time, not just written it, including fixing it when it broke and handing it off cleanly Have defined engineering practices for a team, especially one where most contributors aren't developers Turn operational pain into well-scoped tooling, and can say no to work that shouldn't be built Thrive in a fast-moving environment where standards are being written rather than inherited Strong Candidates May Also Have Experience With: Q-SYS Lua scripting and plugin development Logitech Sync and CollabOS, and Google Meet hardware administration through the Google Admin console and Admin SDK Google Workspace APIs, GCP (Cloud Run, Cloud Scheduler, Pub/Sub, Secret Manager), and Terraform or other infrastructure-as-code Jira, Slack, and PagerDuty APIs and automation Crestron, Extron, or other control system programming Dante, AES67, NDI, and network fundamentals for AV-over-IP, including multicast, VLANs, and QoS Building with LLMs — agentic automation, LLM-assisted internal tools, or MCP integrations Monitoring and alerting stacks such as Prometheus and Grafana, and containerized deployment Q-SYS Level 2, CTS, or equivalent demonstrated capability Role Specific Location Policy: This role will be based in our San Francisco or New York City office This role is expected to be in office 50% of the time Up to 4 weeks of domestic and international travel annually for platform rollouts, new-office readiness, and on-site testing Business-hours escalation coverage for the tools and platforms this role owns Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $325,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Torrance, United States As a Flight Software Engineer, you will play a key role in designing, developing, and testing flight software that powers these advanced systems. You'll work closely with multidisciplinary teams to deliver high-performance, real-time embedded software that operates reliably under extreme conditions. This is a hands-on role for an engineer who thrives on solving hard problems, building robust systems from the ground up, and moving fast without compromising quality. RESPONSIBILITIES Design, develop, and test real-time embedded flight software for missile systems Collaborate with GNC engineers, systems engineers, and hardware teams to ensure seamless integration Implement and maintain software for high-reliability, safety-critical environments Support simulation, hardware-in-the-loop (HIL), and flight testing to validate performance Participate in root cause analysis and debugging across software and system interfaces Follow rigorous software lifecycle practices, including configuration management and verification Contribute to defining and improving development processes, tools, and standards Stay informed on emerging technologies and best practices relevant to flight software and real-time systems BASIC QUALIFICATIONS Bachelors or Master's degree in Computer Science, Electrical Engineering, Aerospace Engineering, or related field Experience: Open to candidates across all experience levels, from early-career engineers to senior technical contributors. Professional experience, internships, research, open-source contributions, or other hands-on technical work will be considered. Proficiency in C/C++ and experience with real-time operating systems (RTOS) Familiarity with hardware/software integration and real-time system constraints Experience working with GNC systems or similar control-intensive applications Strong understanding of testing practices including simulation and HIL environments Excellent problem-solving skills and attention to detail Ability to work effectively in a fast-paced, multidisciplinary team environment Active or eligible for a Top-Secret security clearance PREFERRED SKILSS AND EXPERIENCE Experience developing flight software for missile, launch vehicle, or spacecraft systems Exposure to FPGA-based systems and embedded software optimization techniques Knowledge of secure software development and cybersecurity best practices Familiarity with agile or iterative development methodologies Hands-on experience with software verification, validation, and integration in defense environments

Требования: — BTech / MTech в области электроники и коммуникаций (ECE) — Опыт работы с SystemVerilog, UVM и C/C++ для архитектурного моделирования.

Location: Montreal, Canada ON-SITE IN MONTREAL IS PREFERRED; REMOTE OR HYBRID IS POSSIBLE FOR THE RIGHT CANDIDATE. Open for candidates in Canada as well as the US Tasks Contribute to the system architecture design of advanced digital telecom payloads. Support system-level performance and functional analysis , including link budgets and signal routing paths. Participate in Failure Detection, Isolation, and Recovery (FDIR) strategy development and analysis. Assist in RF signal analysis and system-level integration activities. Contribute to the creation and maintenance of payload performance budgets . Support requirements derivation, traceability, and management across subsystems. Collaborate with cross-functional teams to define interfaces and ensure end-to-end system performance. Participate in design reviews, technical documentation, test planning, and troubleshooting throughout the development lifecycle. Must haves Bachelor’s or Master’s degree in Electrical Engineering, Telecommunications, or a related field. 2–5 years of experience in space systems, satellite communications, or a related discipline. Foundational knowledge of digital signal processing , RF systems , and telecommunications architectures . Relevant Experience with testing of satellite subsystems. Strong attention to detail, analytical mindset, and team-oriented approach. Effective communication and technical documentation skills. Must be eligible to work in Canada and capable of obtaining necessary security clearance. Complementary skills/knowledge Previous experience in Space and/or Constellation Operations Knowledge of requirements Management tools such as DOORS/Windchill/Jama Demonstrated capability to efficiently work autonomously and with little to no supervision Strong written and verbal communications skills in English, knowledge of French will be considered favorably