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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 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: 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. By combining advanced sensing, data science, and technology designed for continuous wear, WHOOP delivers insights that help members better understand and improve their health and performance. WHOOP is looking for a Senior Sensor Intelligence Engineer to join our Embedded Controls team within Sensor Intelligence and help shape the sensing capabilities across current and future WHOOP devices. Sitting at the intersection of signal processing, machine learning, embedded systems, and sensor technology, you will develop algorithms that interpret real-world sensor signals and intelligently control how sensors operate on-device. You will work across the sensing stack from understanding sensor physics and signal characteristics through algorithm development and embedded deployment to enable increasingly sophisticated sensing capabilities while meeting the power, compute, memory, and reliability constraints of a continuously worn device. RESPONSIBILITIES: - Develop signal-processing and machine-learning algorithms that interpret physiological, motion, and other wearable sensor signals, including applications such as activity and state detection, wear detection, signal-quality assessment, and device-state estimation - Design intelligent embedded control strategies that dynamically configure sensor behavior based on signal quality, device state, user context, system requirements, and power constraints - Characterize new and existing sensors by understanding signal behavior, noise sources, artifacts, dynamic range, sampling requirements, calibration, operating modes, and the impact of analog and acquisition architectures - Prototype algorithms and sensing strategies using tools such as Python or MATLAB, then partner with Firmware Engineering to translate them into robust, computationally efficient implementations suitable for resource-constrained embedded systems - Partner closely with Firmware, Electrical Engineering, Data Science, Hardware, and broader Sensor Intelligence teams to bring up new sensing modalities, debug issues across the sensing stack, and inform sensing architectures for future WHOOP products - Develop experiments, analysis frameworks, and validation methodologies to evaluate sensor and algorithm performance across users and real-world conditions, optimizing solutions for accuracy, robustness, latency, memory, compute, and power QUALIFICATIONS: - BS, MS, or PhD in Electrical Engineering, Computer Engineering, Biomedical Engineering, Computer Science, Applied Physics, or a related technical field, or equivalent practical experience - Strong foundation in digital signal processing and time-series analysis, with experience applying techniques such as filtering, spectral analysis, sampling theory, noise reduction, and feature extraction to real-world sensor data - Experience developing signal-processing and/or machine-learning algorithms for noisy, artifact-prone sensor data and taking algorithms beyond offline analysis toward real-time, embedded, or production implementation - Strong proficiency in Python, MATLAB, or similar algorithm-development environments, with working knowledge of C/C++ and embedded-system considerations such as timing, memory, compute, and hardware interfaces - Working knowledge of sensor and electrical systems, including concepts such as ADCs, analog front ends, sampling, digital interfaces, noise, calibration, and signal acquisition - Ability to investigate and solve ambiguous engineering problems across algorithm, firmware, sensor, and electrical boundaries using strong experimental and analytical methods - Experience with wearable, physiological, optical, impedance, motion, multimodal, or related sensor systems is valued; experience with embedded inference, sensor fusion, fixed-point processing, quantization, low-power sensing, or microcontroller deployment is a plus - 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. 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.

Задачи: — Анализ алгоритмов объединения данных с разных датчиков (sensor fusion); — Разработка алгоритмов и программ для объединения данных с разных датчиков; — Поддержка существующей кодовой базы; — Разработка способов оценки качества объединения данных; — Исследование новых алгоритмов объединения данных и изучение научных статей. Требования: — Высшее образование; — Опыт работы от 1 года; — Знание специального ПО ROS/ROS2, C++17, Python; — Понимание принципов работы сенсоров, используемых в беспилотных автомобилях, и принципов фильтрации и сглаживания данных (KF, EKF, UKF). Условия: — График работы 5/2: понедельник-четверг 9:00-18:00, пятница 9:00-17:00 на территории работодателя; — Фиксированный оклад (выплачивается 2 раза в месяц) + квартальные и годовые премии; — Ежемесячная доплата за питание и проезд; — Финансовая помощь в жизненно важных обстоятельствах и доплаты отдельным категориям персонала; — Ежегодная индексация заработной платы.

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 looking for an Engineer II to join the Sensor Intelligence Group (SIG), a cross-functional team collaborating across Hardware, Firmware, and Data Science. This role will focus on advancing WHOOP’s mission of integrating cutting edge sensors that deliver physiological insight into our products. Success in this role will require a deep understanding of physical sensing mechanisms, for example electrical, optical, or thermal, and development of the signal processing and algorithms needed to translate raw data into actionable feedback. RESPONSIBILITIES: - Become the subject matter expert of a sensor modality, responsible for constructing and managing performance requirements and design sensitivities - Process raw data and implement signal processing and algorithmic approaches to evaluate sensor performance and advance new product features - Design hardware and human studies to capture data sets that are required for sensor and feature development - Collaborate with Hardware and Firmware engineers to give feedback on prototype and product design - Clearly communicate technical learnings to a multifunctional audience so that the team can efficiently navigate through a complex decision space QUALIFICATIONS: - Bachelor's degree in Electrical/Computer Engineering, Biomedical Engineering, or a related field; Master’s or PhD degree preferred - 3+ years of experience as a hands-on engineer or scientist with a focus on leading early stage sensor design from concept to completion - Experience with Python and or Matlab for data analysis, signal processing, machine learning - Familiarity with electrical and optical laboratory characterization equipment - Excellent written and verbal communication skills. - Innovative, knowledgeable, and able to adapt to changing requirements while still producing quality algorithms with tight deadlines Additional Desirable Experience - Familiarity with multiphysics numerical modeling tools - A basic understanding of human physiology (eg. hemodynamics, thermoregulation, biochemistry) - Experience in the context of medical device development, requirements definition, risk assessment

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE: We are looking for a Software Engineer to own the device software and data pipeline for our UMI data collection devices - handheld gripper systems used by human operators to demonstrate manipulation tasks. The data they produce is used to train our robots, so the quality of what you ship determines the quality of robots we deploy. This is a deeply technical, hands-on role. You will write production-grade device software, build reliable sensor fusion and recording pipelines, and own the validation tooling that keeps our training datasets clean. You will work closely with hardware, AI, and data collection teams. WHAT YOU’LL DO: - Develop and maintain device software across the full episode lifecycle: session initialisation, per-sensor stream management, episode recording, and graceful shutdown - Integrate and synchronise sensor streams - wrist and head cameras, 6-DOF pose trackers, gripper aperture encoders, and optionally force/torque sensors - into temporally-aligned, policy-consumable trajectories - Define and maintain the data contract between UMI devices and the AI team: stream formats, episode packaging, metadata schemas, and the interface between raw recordings and training pipelines - Build and maintain data validation tooling that detects dropped frames, timing jitter, pose tracking loss, image quality degradation, and sensor faults before corrupt episodes enter the training dataset - Own operator-facing device software: status indication, start/stop/cancel episode controls, and clear feedback when a session needs to be retried - Support field data collection sessions - deploying devices to operators, validating data quality in situ, and iterating quickly when issues surface during collection - Debug integration failures on device hardware: camera driver issues, bus bandwidth saturation, tracker calibration drift, compute thermal throttling, and storage write failures mid-episode WE’RE LOOKING FOR: - Experience in embedded or device-level software in a robotics or sensing context - writing code that runs on the device, not just talking to it - Proficiency in C++ and/or Python for real-time sensor drivers, inter-process communication, and data recording pipelines - Solid understanding of multi-modal sensor synchronisation - timestamps, hardware triggers, clock drift - and the practical consequences of getting it wrong for downstream ML - Familiarity with camera pipelines and the difference between what a sensor reports and what actually lands on disk with correct timing - Strong instincts around data quality and dataset hygiene - you are uncomfortable shipping episodes with frame drops, tracking loss, or misaligned streams - Proven ability to debug on real hardware: you read logs, attach profilers, and can diagnose whether a problem is a driver, a bus, or a timing issue NICE TO HAVE: - Experience with 6-DOF pose tracking systems (VIO, optical trackers, or similar) and their common failure modes - Familiarity with ML training data formats and what an AI team actually needs from a recorded episode - understanding the consumer of the data you produce - Exposure to operator-facing tooling for data collection: session management, per-episode quality summaries, rejection and retry workflows - Experience scaling device software from a small number of prototype units to many devices operated by non-engineers in the field WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: Canada, Vancouver, BC Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for a Senior Prototype Engineer to drive the development, assembly, integration, and validation of advanced humanoid robotic systems, with a particular focus on robotic hands, arms, end-effectors, and complex electromechanical mechanisms. This role combines deep hands-on engineering expertise with proven technical leadership and team management experience. You will take ownership of complex prototype development activities, guide engineering execution, and work closely with Mechanical, Electrical, Embedded Software, and Controls teams to transform innovative designs into reliable, high-performance robotic systems. We are looking for someone who has successfully led and developed technical teams, established efficient prototyping processes, and delivered complex hardware projects in fast-moving engineering environments. As our Vancouver robotics operations continue to grow, this position offers the opportunity to progress into a broader technical leadership role, helping shape our prototyping capabilities, engineering standards, and team development. Your work will directly influence the technical quality, development speed, and scalability of Humanoid's next-generation robotic platforms. WHAT MAKES THIS ROLE EXCITING - Take ownership of complex humanoid robot prototyping, including dexterous hands, arms, actuators, and advanced electromechanical assemblies. - Combine hands-on engineering with technical leadership, guiding complex prototype development from concept through validation. - Apply your previous team management and mentoring experience to strengthen engineering execution and build effective prototyping practices. - Solve challenging problems in robotic manipulation, precision actuation, sensor integration, and hardware-software interaction. - Collaborate with a multidisciplinary robotics team spanning mechanical, electrical, embedded software, and controls. - Play a key role in scaling Humanoid's prototyping capabilities, with potential to grow into a broader team leadership position. WHAT YOU’LL DO - Lead the development, assembly, integration, and commissioning of complex robotic prototypes, including hands, arms, end-effectors, actuators, sensors, and electromechanical subsystems. - Take ownership of prototype development from initial build through calibration, testing, debugging, validation, and design iteration. - Provide technical leadership and direction to engineers and technicians, helping establish priorities, resolve engineering challenges, and maintain execution quality. - Apply previous team management experience to mentor technical team members, develop capabilities, and establish effective engineering workflows. - Coordinate prototype development activities, ensuring clear technical priorities, efficient resource allocation, and alignment with engineering milestones. - Drive advanced hardware troubleshooting, root-cause analysis, and failure investigation across mechanical, electrical, and embedded systems. - Oversee the integration, calibration, and performance optimization of actuators, encoders, force/torque sensors, tactile sensors, and robotic control interfaces. - Partner with Mechanical, Electrical, Embedded Software, and Controls teams to identify design limitations, integration risks, and opportunities for performance improvement. - Lead and contribute to technical design reviews, providing practical engineering feedback on assembly, reliability, serviceability, and manufacturability. - Establish and improve prototype assembly procedures, integration workflows, testing methodologies, and validation standards. - Drive rapid prototyping and engineering iteration, ensuring timely resolution of technical blockers and efficient development cycles. - Support system-level testing, performance characterization, reliability assessments, and prototype-to-production transitions. - Develop and maintain technical documentation, including assembly instructions, test procedures, troubleshooting guides, SOPs, and engineering reports. - Collaborate with engineering and program leadership to plan prototype builds, track technical progress, manage risks, and communicate development priorities. - Work closely with teams across Vancouver, London, and Boston, supporting cross-site integration and technical collaboration. - Promote a safe, organized, and efficient prototyping environment, maintaining appropriate tools, equipment, and engineering practices. WE’RE LOOKING FOR - 10+ years of professional experience in robotics prototyping, mechatronics, electromechanical integration, or advanced robotic hardware development. - 5+ years of proven track record directing technician groups within a dynamic research and development setting. - Demonstrated experience mentoring, developing, and coordinating technical team members, with the ability to establish priorities and drive engineering execution. - Bachelor's or Master's degree in Robotics, Mechatronics, Mechanical Engineering, Electrical Engineering, or a related technical discipline, or equivalent practical engineering experience. - Strong hands-on experience building, integrating, testing, and troubleshooting complex robotic or electromechanical systems. - Proven track record of taking complex hardware prototypes from concept through integration, commissioning, validation, and delivery. - Deep understanding of precision mechanical assemblies, actuators, motors, sensors, wiring, and embedded hardware interfaces. - Experience with fine-pitch soldering, precision wiring, cable assemblies, connectors, and electrical integration. - Strong knowledge of actuator commissioning, sensor calibration, motor control interfaces, and robotic system testing. - Ability to interpret mechanical drawings, electrical schematics, wiring diagrams, and engineering documentation. - Experience using laboratory and diagnostic equipment, including oscilloscopes, multimeters, power supplies, and precision measurement instruments. - Demonstrated ability to lead complex troubleshooting, root-cause analysis, and engineering problem-solving activities. - Experience establishing or improving prototype assembly, integration, testing, and validation processes. - Strong project coordination skills, including technical planning, resource prioritization, risk management, and cross-functional execution. - Excellent communication skills, with the ability to collaborate effectively with engineering teams, technical leadership, and program stakeholders. - Ability to balance hands-on technical involvement with broader engineering leadership responsibilities in a fast-paced R&D environment. BONUS QUALIFICATIONS - Experience developing humanoid robots, dexterous robotic hands, robotic arms, or advanced manipulation systems. - Previous experience building, scaling, or managing a robotics prototyping, integration, or hardware development team. - Experience with multi-DoF robotic mechanisms, precision actuators, transmissions, and complex joint assemblies. - Experience with tactile sensors, force/torque sensors, encoders, IMUs, and robotic sensing technologies. - Knowledge of motor control systems, drive tuning, actuator performance analysis, EtherCAT, or CAN communication protocols. - Experience with rapid prototyping and fabrication, including FDM/SLA 3D printing, CNC machining, and laser cutting. - Familiarity with SolidWorks or similar CAD tools and the ability to perform mechanical design modifications. - Experience using Python, ROS/ROS2, or other tools for robotic hardware testing, calibration, or automation. - Experience developing automated test setups, hardware validation infrastructure, or data acquisition systems. - Experience supporting hardware NPI, prototype-to-production transitions, or low-volume robotic manufacturing. - Background in robotics, autonomous systems, aerospace, automotive, or advanced hardware startups. WHAT WE OFFER - Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support. - Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. - Paid end-of-year shutdown: annual company-wide holiday closure spanning Christmas through New Year’s Day. - Competitive equity: stock options with meaningful upside as we scale. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives.

Location: Abu Dhabi, United Arab Emirates Workplace: hybrid Autonomous vehicles are coming to the markets in which inDrive serves, but the AV industry has a blind spot: it has almost no data from the cities where we operate. inDrive runs one of the world's largest ride-hailing fleets, concentrated in exactly the emerging markets global AV players have yet to reach. We are building the team that turns that fleet into an AV grade data platform: large scale multi sensor collection from real vehicles on real trips, evaluation of driving models against human drivers, automated and human in the loop causal annotation, and camera first 3D scene reconstruction for simulation. We are hiring the founding leader of this workstream. This is a rare true zero to one: you will hire the team, stand up the vehicles and the data platform, set the technical bar, and own delivery end to end. Key Responsibilities Own the AV data workstream end to end. Roadmap, execution, quality, and outcomes, from vehicle data capture through processing, annotation, and delivery of AV-grade datasets Build the team from zero. Hire and lead a multi disciplinary team covering large scale data engineering, search and serving, ML engineering across divergence detection, edge inference, and VLM based auto labeling, 3D reconstruction research, and data annotation operations. Own the hiring bar and the team's growth Management : Manage ML engineers' charter across the cluster Set technical direction across disciplines. Provide design authority for the full pipeline, including onboard capture, cloud ingestion and processing at fleet scale, semantic and causal labeling, and neural scene reconstruction, and make the key technical decisions on evidence Partner with leaders across the organization. Work closely with the leaders of data platform, ML ops, geo and mapping, and inDrive's wider autonomous vehicle initiatives to align roadmaps, share infrastructure, and unblock delivery Own external partnerships. Drive the technical relationships this work depends on, including the NVIDIA AV ecosystem and prospective AV partners consuming our data Balance research and delivery. Several of the core questions here are open research. You frame milestones as decision gates, redirect work based on evidence, and keep the team shipping measurable results on a schedule Skills, Knowledge and Expertise 10+ years of engineering experience in applied ML, autonomous systems, or large-scale data and ML platforms, including 3+ years in the autonomous vehicle industry or closely adjacent autonomy domains (AV data, simulation, or evaluation platforms, ADAS, robotics perception, HD mapping), and 4+ years managing engineering teams, with a track record of building teams from scratch and delivering from zero to one Strong command of the modern AV and foundation model landscape: vision-language models, multi-modal perception, 3D reconstruction and neural rendering, and the NVIDIA AV ecosystem. Deep enough to set direction, review designs, and make evidence-based technical calls Genuine engineering leadership range: you have successfully led data engineering, platform, or infrastructure delivery, not only ML research, and can evaluate and unblock work across those disciplines Proven ability to take large-scale ML systems from conception to production: data pipelines, training and evaluation infrastructure, and models running under real-world constraints Strong external presence: experience owning technical partnerships, vendor and licensing relationships, or customer-facing technical engagements at a senior level Deep fluency in the modern ML stack (PyTorch or equivalent, large-scale training and inference, Python and Linux) and in cloud data platforms at multi-terabyte scale Bachelor's degree in Computer Science, Engineering, or a related field Nice to have: AV industry experience specifically in offline evaluation, data mining, annotation platforms, or simulation, as distinct from on-vehicle stack development Advanced degree (MS or PhD) in ML, robotics, or computer vision Experience operating in emerging markets, and comfort building where the playbook does not exist yet 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: Abu Dhabi, United Arab Emirates Workplace: hybrid About the role We are preparing the data foundation for our autonomous-driving work, and we are hiring the engineer who will start it. Today we collect street-level imagery and GPS tracks from vehicle cameras, including our own camera units with NVIDIA edge devices on board, and use them to update maps. Next comes a dedicated survey vehicle with a full sensor set: multi-camera, IMU, LiDAR. You will start with the imagery and map data pipelines we run today, and as the sensor platform arrives, you will build the pipelines that turn its data into training datasets for autonomous-driving models. Key Responsibilities Build the pipelines that move multi-sensor data (multi-camera video, IMU, LiDAR, GPS) from vehicles into cloud storage, synchronize and geo-reference the streams Own the storage layout and lifecycle for sensor data: partitioning, hot and archival tiers, cost control as volume grows Build validation and monitoring on the ingest path: incomplete uploads, missing or unsynchronized streams, vehicles that stopped producing usable data Prepare training datasets for autonomous-driving models: select data by location, route, and conditions, version datasets, and deliver them in the formats ML teams need Until then: take over and develop the current imagery and GPS-track pipelines from vehicle cameras, and contribute to geodata pipelines (ingestion from company data, OpenStreetMap, Overture Maps and vendors, conflation, validation, publication) Work with company data in BigQuery and keep spatial queries fast on large PostGIS and GeoParquet tables Skills, Knowledge & Expertise 4+ years in data engineering Experience with multi-sensor data from vehicles or robots: cameras, IMU or LiDAR, and keeping the streams in sync Experience preparing training datasets for computer vision or autonomous-driving models. Large volumes of binary or media data in object storage (S3 or GCS); distributed processing (Spark or equivalent) Hands-on experience with spatial data: PostGIS, GeoPandas/Shapely, coordinate reference systems, GPS tracks Strong Python and SQL; AWS or GCP, Docker, Kubernetes Nice to have Sensor data formats such as ROS2 bag, MCAP or point clouds Parquet, Delta or Iceberg; Databricks Argo Workflows or Airflow OpenStreetMap and Overture Map QGIS BigQuery 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: Houston, TX, United States Position Summary The Electronics Technician - ILI Systems & Equipment owns the full lifecycle of PIPECARE Western Hemisphere’s electronics assets - bench-level preparation, testing, calibration, repair, and reliability support across the region’s inspection technologies (Caliper, MFL, UTWM/UTCD, and EMAT), the tracking and locating equipment that supports every mobilization (AGM units, toolmounted transmitters, and pig locators) - together with management of the electronics store, tool inventory, consumables, and the component requisitioning that ties it all together. Given the size of WH’s tool fleet and its annual tool-prep volume, this is designed and resourced as a single-incumbent role covering both functions. It shall be noted that PIPECARE has subsidiaries around the world and, although the Electronics Technician reports to the Shop Supervisor, the responsibility of the Electronics Technician is to ensure that all tasks related to the Western Hemisphere are executed according to the plan, corporate standards, and policy approved by the Corporate Office. Job Functions, Responsibilities & Authorities A. Tool Preparation, Testing & Calibration • Follow approved written instructions, schematics, and design specifications to assemble and prepare Caliper, MFL, UTWM/UTCD, and EMAT tools, using test equipment, hand tools, and precision soldering techniques. • Perform electronic assembly, soldering, rework, and inspection in accordance with approved workmanship procedures, ESD-control requirements, and applicable IPC standards. • Perform bench and pull-rig/test-loop calibration of sensors, magnetizers, transducers, odometer wheels, and IMUs against reference standards ahead of every mobilization, in accordance with approved procedures and calibration requirements. • Execute dry-run and pull-test acceptance procedures; a tool is not released until every acceptance criterion is met and signed off. • Conduct pressure testing of external electronics and containers. • Perform final check, calibration, and sign-off on tools prior to mobilization. • Assemble experimental circuitry or prototype builds per engineering instructions for R&D and internal projects. B. Battery & Power Systems • Build, test, and capacity-verify battery packs against run-duration requirements, with margin for delays • Rebuild, rewire, and replace battery packs and individual cells only in accordance with approved procedures, applicable safety requirements, and authorized competency limits. • Monitor pack health and flag batteries approaching end-of-life before they cause a field failure. • Ensure battery packs are handled, packaged, labeled, and documented correctly for every shipment, domestic and cross-border, in accordance with applicable DOT/IATA lithiumbattery transportation requirements and company procedures. C. Tracking & Locating Equipment (AGM, Transmitters & Pig Locators) • Prepare, install, and battery-test tool-mounted tracking transmitters (electromagnetic, acoustic, or magnetic) ahead of every mobilization, confirming signal strength and battery life cover the full expected run duration. • Maintain and pre-run test Above Ground Marker (AGM) units: battery and solar power systems, antenna and geophone accessories, GPS time synchronization, and onboard data storage. • Maintain and battery-test handheld and vehicle-mounted pig locators/receivers used by field crews to track tool progress and pinpoint a stopped or stuck tool. Maintain pig signallers and passing indicators at launch, receive, and key trap locations, including mechanical trigger, battery, and alarm function checks. • Retrieve and back up AGM passage data after each run and provide it promptly to the Data Analysis team in the required format for odometer/IMU correlation. • Troubleshoot and repair faulty tracking equipment returned from the field; hold any unit that fails pre-run acceptance out of service until repaired and re-tested. • Maintain a dedicated inventory of spare transmitters, AGM units, locators, batteries,and antennas sized to WH’s mobilization schedule, so a failed unit never delays a launch. D. Repair, Troubleshooting & Continuous Improvement • Test, troubleshoot, and repair completed tools, field returns, and incoming PCBs in accordance with approved procedures and electronic workmanship requirements. • Perform component-level fault diagnosis using multimeter, oscilloscope, and related diagnostic equipment • Operate drills and other machine tools to fabricate or repair tool components (flaps, connectors, etc.) • Lead or support root-cause analysis on any tool that underperforms or fails in the field, and close out the resulting corrective actions. • Proactively propose improvements to tool-prep processes, test procedures, and store operations. • Maintain failure, repair, and component-replacement history for critical electronic assemblies and use recurring failure data to support preventive maintenance and reliability improvements. E. Electronics Store & Inventory Management • Own the electronics store: components, spares, consumables, tool accessories, small tools, and tracking/locating equipment (transmitters, AGM units, locators). • Receive, inspect, and verify incoming components and materials against purchase orders and packing lists. • Maintain accurate, current inventory records in the company’s ERP or an equivalent tracking system sized to the store. • Organize, label, and store all inventory in a safe, systematic, and easily auditable manner. • Set and monitor minimum/maximum stock levels sized to WH’s actual tool-prep volume, avoiding both stockouts and excess/obsolete stock. • Conduct periodic physical counts and reconcile discrepancies. • Perform cycle counts at the frequency established by company inventory procedures and reconcile discrepancies promptly. • Maintain serial/lot traceability and shelf-life or expiry controls where applicable, and classify critical spares according to their potential impact on mobilization readiness. • Issue components and consumables against tool-prep and repair jobs. • Identify slow-moving, obsolete, or damaged stock and recommend disposition. F. Procurement & Ordering • Identify component, material, and consumable needs proactively – ahead of tool-prep schedules, not reactively. • Source suppliers and obtain quotations for components, spares, and consumables. • Prepare and submit purchase requisitions in line with PIPECARE procurement policy and approved budget; the position does not have independent purchasing or supplier-approval authority unless formally delegated. • Track order status and coordinate delivery timing against tool-prep and mobilization schedules. • Maintain basic supplier records and flag recurring quality, pricing, or lead-time issues. G. Documentation & Reporting • Enter daily activity into the ERP / Tool Prep Report / Activity Register the same day • Maintain calibration certificates and measurement-traceability records for tools, sensors, reference standards, and test instruments; identify and quarantine equipment that is overdue or out of tolerance and escalate any potential impact on completed work in accordance with the applicable procedure. • Download, verify, and back up tool data promptly after every run • Maintain work areas in a neat, tidy, and HSE-compliant manner H. Other • Execute other reasonable tasks in support of Shop/Workshop priorities as they arise. Skills/Experience • College education in Electronics, or equivalent hands-on/apprenticeship experience • Minimum 3–5 years of relevant work experience; prior exposure to in-line inspection (ILI) tools (Caliper, MFL, UTWM/UTCD, EMAT) is a strong plus. • Solid knowledge of electronic instrumentation and measurement. • Good experience in soldering, calibration, and testing of electronic PCBs and equipment. • Working knowledge of inventory/stock management; experience maintaining stock records or running a parts store is a plus - formal supply-chain credentials are not required at this store’s scale. • Comfortable handling basic procurement/requisitioning tasks: obtaining quotations, raising requisitions, and tracking deliveries. • Proficient in Microsoft Excel; comfortable learning the company’s ERP/inventory-tracking system. • Attention to detail, quality focus. • Ability to work effectively under time pressure and changing mobilization priorities while maintaining quality and safety standards. • Familiarity with pipeline pig tracking/locating equipment (EM/acoustic transmitters, AGM units, handheld locators) is a plus – not required to start, but expected to be picked up quickly. • Self-motivated, creative, critical, and curious – genuinely engaged with the work, not just executing instructions. • Valid driver’s license (local supplier pickups / parts runs). • Ability to handle inspection-tool components within company-defined limits; work in a workshop environment; stand/walk for extended periods; use required PPE; and work safely around machinery, batteries, and electrical/electronic equipment.

Location: Annapolis Junction, MD, United States Job Title Senior‑Level Python Developer (Python, C++) Why IDS? IDS believes in resolving conflict, building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors solutions for a diverse range of government, military, nonprofit, and public‑sector clients. Locations Annapolis Junction, MD Shifts Available Please note, candidates must be flexible. Shift times are general hours; some projects may require earlier or later reporting based on customer requirements. Job Description IDS is seeking a Senior‑Level Python Developer to support a new cybersecurity initiative. The developer will work closely with a small team and mission stakeholders to capture requirements, develop network protocol parsers, create fingerprints and signatures to identify anomalous network activity, and deploy analytics solutions across customer‑supported tools and environments. Key Duties • Collaborate with customers to overlay network datasets within an existing architecture using the ABYSS product • Integrate parsers and signatures into ABYSS and develop tradecraft for front‑end sensors • Develop parsing and processing of network protocols to populate customer data repositories • Prototype and develop analytic workflows to automate profiling of network traffic and activity • Develop detection and alerting capabilities based on anomalous network behavior and network changes Requirements • Bachelor’s degree in computer science with eight (8) years of relevant experience, or equivalent • Proficiency in Python, C++, and Spark • Experience with Jupyter Notebooks • Experience using JIRA, Confluence, and Git/GitLab • Knowledge of customer corporate tools and data repositories • Active TS/SCI with Polygraph Compensation • Salary range: $155,000 – $175,000 • Benefits

Location: Muscatatuck, IN, United States Job Title Computer Systems Analyst OT I (Computer Systems Analyst) Why IDS? IDS believes in resolving conflict, building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors solutions for a diverse range of government, military, nonprofit, and public-sector clients. Locations Muscatatuck, Indiana Shifts Available Please note, candidates must be flexible. Shift times are general hours; some projects may require earlier or later reporting based on customer requirements. Job Description IDS is seeking a Computer Systems Analyst OT I to support Operational Technology (OT) environments and associated networked systems. The selected candidate will assist with the analysis, administration, and maintenance of systems supporting training and operational requirements. This role requires experience working with OT systems, networking technologies, and Windows and Linux operating environments. The ideal candidate will support a variety of technologies and devices commonly found within modern operational and industrial environments, including ICS/SCADA, IoT, RF, and integrated sensor systems. Key Duties • Support the operation and maintenance of Operational Technology (OT) systems and networks. • Analyze and troubleshoot system and network performance issues. • Assist with administration of Windows enterprise and Linux server operating systems. • Support integration and operation of ICS/SCADA, IoT, RF, and camera systems. • Monitor system performance and assist with infrastructure maintenance activities. • Support configuration and documentation of operational technology environments. • Assist with system upgrades, maintenance, and troubleshooting efforts. • Coordinate with technical teams to support mission, training, and operational objectives. • Maintain technical documentation and system records. • Support secure and reliable operation of OT and networked systems. Requirements • Associate degree or equivalent experience. • Active Secret security clearance required. • Minimum of one (1) year of experience working with computer systems, Operational Technology, and networking. • Demonstrated experience with Windows enterprise and Linux server operating systems engineering and administration. • Demonstrated experience with a wide variety of technologies including camera systems, ICS/SCADA, IoT, and RF devices. Compensation • Competitive Hourly Pay • Benefits

Location: Muscatatuck, IN, United States Job Title Computer Systems Engineer I (Computer Network Architect) Why IDS? IDS believes in resolving conflict, building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors solutions for a diverse range of government, military, nonprofit, and public-sector clients. Locations Muscatatuck, Indiana Shifts Available Please note, candidates must be flexible. Shift times are general hours; some projects may require earlier or later reporting based on customer requirements. Job Description IDS is seeking a Computer Systems Engineer I (Computer Network Architect) to support the design, implementation, operation, and maintenance of complex cyber range and test bed environments. The selected candidate will be responsible for architecting and configuring physical, virtual, and cloud-based network infrastructures that support training, testing, and operational requirements. This role requires experience with network engineering, systems administration, virtualization technologies, automation tools, and infrastructure orchestration. The ideal candidate will possess a strong understanding of enterprise Windows and Linux environments, cyber infrastructure, and emerging technologies including ICS/SCADA, IoT, RF, and integrated sensor systems. Key Duties • Design, configure, and maintain cyber range and computer test bed environments. • Architect and support physical, virtual, and cloud-based network infrastructures. • Configure and manage routing, switching, firewalls, DNS, Active Directory, VPNs, VLANs, and SAN technologies. • Deploy and maintain bare metal and virtualized systems in support of mission requirements. • Develop and implement automation, provisioning, imaging, orchestration, and configuration management solutions. • Utilize tools such as Ansible, Chef, FOG, Python, and Bash to streamline system administration and deployment activities. • Engineer and administer VMware, KVM, Xen, and other virtualization platforms. • Administer and maintain Windows enterprise and Linux server operating systems. • Monitor infrastructure performance and support network and systems troubleshooting activities. • Identify and address network vulnerabilities, attack vectors, and mitigation strategies. • Support integration and operation of technologies including camera systems, ICS/SCADA environments, IoT devices, and RF systems. • Collaborate with stakeholders to support cyber training, testing, and operational objectives. Requirements • Bachelor's degree or equivalent experience. • Must meet DoDM 8140.03 IAT II requirements. • Active Secret security clearance required. • Minimum of three (3) years of experience in the configuration and operation of cyber range or computer test bed environments. • Demonstrated experience designing and configuring computer networks, including routing, switching, firewalls, DNS, Active Directory, VPNs, VLANs, and SANs utilizing bare metal and virtualized systems. • Demonstrated experience with automation, provisioning, imaging, orchestration, and configuration management using Ansible, Chef, FOG, Python, and Bash scripting. • Cloud, physical, and virtual network architecture, engineering, and infrastructure monitoring experience. • Experience with hypervisors such as VMware, KVM, and Xen. • Demonstrated experience with Windows enterprise and Linux server/operating systems engineering and administration. • Knowledge of network vulnerabilities, attack vectors, and mitigation techniques. • Demonstrated experience working with technologies including camera systems, ICS/SCADA, IoT, and RF devices. Compensation • Competitive Hourly Pay • Benefits

Location: Muscatatuck, IN, United States Systems Administrator/Engineer – II (Systems Administrator/Engineer) Why IDS? IDS delivers innovative, mission-focused solutions that support national security and critical operations. Our teams combine deep technical expertise with real-world operational insight to solve complex challenges across the defense and public sectors. At IDS, you’ll work on impactful programs in dynamic, high-stakes environments. Location Muscatatuck, Indiana Job Description IDS is seeking a skilled Systems Administrator/Engineer II to support advanced cyber environments and enterprise infrastructure within a DoD setting. This role requires a hands-on technical expert with strong experience in systems engineering, network architecture, virtualization, and automation. The ideal candidate will have a strong background in designing, deploying, and maintaining complex environments spanning physical, virtual, and cloud-based systems. Key Responsibilities Design, configure, and maintain enterprise network and system architectures Deploy and support routing, switching, firewalls, VPNs, DNS, Active Directory, VLANs, and SANs Perform system provisioning, imaging, automation, and orchestration Manage and maintain virtualized and bare-metal environments Support infrastructure monitoring and performance optimization Engineer and administer Windows and Linux server environments Identify and mitigate network vulnerabilities, threats, and attack vectors Support integration of emerging technologies including IoT, ICS/SCADA, RF devices, and camera systems Requirements Education Bachelor’s degree in network engineering, Cybersecurity, Information Management, or related discipline OR equivalent experience in lieu of degree Certifications Must meet DoD 8140.03 IAT II requirements (e.g., Security+, CCNA Security, etc.) Experience Minimum of 7 years of experience as a Cyber SME, Cyber Architect, Systems Administrator/Engineer, or similar role Experience designing and configuring: Network infrastructure (routing, switching, firewalls) Core services (DNS, Active Directory, VPNs, VLANs, SANs) Experience with: Automation, orchestration, and configuration management Tools such as Ansible, Python, and other open-source platforms Experience across: Cloud, physical, and virtual infrastructure environments Infrastructure monitoring and performance tuning Experience with hypervisors: VMware, KVM, Xen Strong experience with: Windows Enterprise and Linux system administration Cybersecurity principles, vulnerabilities, and mitigation techniques Exposure to diverse technologies including: ICS/SCADA systems IoT devices RF technologies and sensor systems Desired Skills Strong troubleshooting and problem-solving abilities Experience in complex, mission-driven environments Ability to work independently and within cross-functional teams Strong documentation and communication skills Experience supporting cyber range or lab environments (preferred) Security Clearance Active Top Secret (TS) / Sensitive Compartmented Information (SCI) required

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: Hong Kong or Remote Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back? , as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities. Important Notice: ⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc . If you receive a suspicious email or message, please do not respond and report it immediately to us. Location: Hong Kong or Remote Type: Full Time The Role As a ML Researcher at Nex, you will develop new machine learning models and algorithms that push the boundaries of computational perception and interaction on Nex Playground. You will join a small, deeply technical team that combines research and engineering to solve complex problems in sensing, understanding, and multimodal interaction. The ML Research role emphasizes rapid experimentation, exploring new ideas and methods to expand what our platform can sense, understand, and respond to. You will work within the ML Research group, collaborating closely with ML Engineers who build the infrastructure that accelerates your research. This role is ideal for researchers who want to see their work directly impact product capabilities while maintaining a focus on cutting-edge innovation. The Mindset You are driven by curiosity and technical discovery. You see research as a systematic process of exploration and validation, not just theoretical work. You balance scientific rigor with practical impact, knowing that the best research solves real problems. You thrive in a team that values experimentation velocity and measurable technical improvement. What You’ll Do Develop novel ML models and algorithms for computational perception and interaction Design and execute rapid experiments to validate new ideas and methods Explore advancements in computer vision, audio processing, sensor fusion, or related domains Collaborate with ML Engineers to integrate research outcomes into training pipelines and production systems Measure and track experimentation velocity, the number and quality of validated experiments per quarter Contribute to research planning and help define the technical roadmap alongside the Engineering Manager and Tech Lead Document research findings and communicate technical progress to the broader team Must Have 2+ years of hands-on ML research experience in industry, academia, or research labs Demonstrable track record of designing and conducting ML experiments from hypothesis to validation Proficiency in Python for ML research and experimentation Deep expertise with PyTorch or TensorFlow for model development Experience training and evaluating ML models on real datasets Understanding of model evaluation metrics, experimental design, and statistical validation Familiarity with data preprocessing, augmentation, and management for ML workflows Experience presenting research findings to technical audiences Nice To Have Expertise in real-time inference, model optimization, or efficient architectures Experience with self-supervised learning, few-shot learning, or foundation models Background in multimodal learning combining vision, audio, and sensor data Contributions to open-source ML projects or released research code Experience collaborating with engineers to productionize research outcomes Familiarity with ML Engineering practices: training pipelines, experiment tracking, MLOps Background in edge computing, on-device ML, or resource-constrained environments Experience with sensing technologies: cameras, microphones, IMUs, or haptic systems Knowledge of privacy-preserving ML, federated learning, or on-device data processing We Offer Competitive compensation package. Flexible working hours and vacation policy. Product-driven culture that treasures talents and individual growth. Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field Nex is located in San Jose, California, USA and Hong Kong . Learn more about us at https://www.nexplayground.com/about . We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination. We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.

Location: San Francisco, CA; Sunnyvale, CA Workplace: Hybrid ABOUT NIANTIC SPATIAL AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. THE OPPORTUNITY As a staff member of the Map Team, you’ll own and drive significant parts of our Reconstruction and/or Localization technologies. You will be responsible for building the Map representing a living geospatial world model that can be simultaneously used to generate a high-fidelity 3D representations via Gaussian Splatting and Meshing, as well as the centimeter-level accuracy Visual Positioning System (VPS) that allows people and robots to explore the real world. This is an individual contributor role with a strong component of technical leadership where you will mentor other engineers and influence the technical roadmap. WHAT YOU WILL DO - Technical Leadership: Lead the design and implementation of some of our core technologies, namely, Structure from Motion (SfM), Feed Forward and Foundational models, and high-fidelity 3D Reconstruction (e.g. meshing, gaussian splats). - Applied Research: Up to speed state-of-the-art in relevant areas to be able to invent novel solutions in VPS and/or 3D Reconstruction alongside the team. - System Architecture: Design, develop, and maintain scalable production-grade Computer Vision systems that power Niantic Spatial’s VPS, 3D Reconstruction and 3D Mapping pipelines. - Algorithm optimization and production implementation: develop and optimize algorithms, train models, for high-accuracy and high-performance execution on CPU/GPU on the cloud or device as part of a reliable production system. - Quality & Benchmarking: Drive decision-making creating high quality data that allows the accurate spatial grounding of AI queries with structural, semantic and location specific knowledge. - Technical Strategy & Mentorship: Work with engineering leadership to define the technical roadmap and quarterly objectives for the Applied CV Team; provide high-level mentorship and code governance to elevate the team’s technical bar. - Cross-Functional Delivery: Collaborate with Product, Research, and Operations teams to ensure that state-of-the-art Computer Vision solutions translate into delightful user experiences. WHAT WE ARE LOOKING FOR - Years of Experience: 7+ years of professional experience in Computer Vision, Machine Learning, or a related field (or 4+ years with a PhD in a relevant domain). - Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field; Master's or PhD preferred. - Core Technical Skills: Strong proficiency in Python and/or C/C++. - Specialized Expertise: Proven experience in both classical and learned-based 3D Computer Vision and ML. - Full SW lifecycle experience: Demonstrated experience in taking research into production at scale. - Technical Leadership Experience: Previous experience tech leading computer vision projects. COMPENSATION & BENEFITS The expected salary range for this role is $256,500 – $315,000 per year. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more. LOCATION & WORK MODEL This role is based in our San Francisco or Sunnyvale office, with three days per week in office. INCLUSIVE APPLICATION We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed — you may be exactly who we're looking for. EQUAL OPPORTUNITY Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. CANDIDATE PRIVACY I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE Humanoid is looking for a hands-on Cloud Infrastructure Engineer to own the continued development, deployment and operation of the existing data platform within Humanoid. The role spans cloud infrastructure, full-stack development, platform engineering and data engineering, with responsibility for turning internal engineering requirements into reliable production systems. You will also lead delivery by external contractors and act as their sole point of contact with Humanoid. You will gather requirements from our internal engineering teams, translate them into technical briefs, oversee implementation and bring completed work back for validation. All contractor questions, feedback and delivery coordination will flow through you, without requiring direct communication between contractors and other Humanoid team members. This role combines substantial engineering work with technical leadership and delivery ownership.   WHAT YOU'LL DO - Own platform delivery: Understand the existing platform architecture, identify the changes needed for Humanoid’s environment and workflows, and take those changes through development, integration, testing and deployment. - Lead external contractors: Define work packages, priorities, technical requirements and acceptance criteria. Review designs and code, resolve technical questions, track delivery and ensure completed work meets Humanoid’s standards. - Connect internal needs to implementation: Work with Humanoid’s engineering teams to understand requirements and constraints. Maintain a clear backlog, communicate tradeoffs and progress, and raise risks or decisions early. - Build and operate cloud infrastructure: Manage compute, storage, networking and environments through infrastructure as code, with attention to security, reliability, performance and cost. - Develop across the stack: Implement and maintain backend services, APIs, integrations and frontend interfaces that support internal users and engineering workflows. - Improve the engineering platform: Build and maintain CI/CD pipelines, automated tests, deployment processes, environment configuration and developer tooling. - Own data workflows: Develop and maintain data ingestion, processing, storage and access pipelines. Address data quality, schema changes, failed jobs and recovery. - Maintain production reliability: Establish monitoring, logging and alerting; investigate incidents; and maintain practical rollback, backup and recovery procedures. - Control access and preserve knowledge: Manage contractor permissions and secrets appropriately. Ensure source code, infrastructure definitions, documentation and operational knowledge remain accessible to Humanoid. - Verify and hand over completed work. Validate contractor deliverables against agreed acceptance criteria and ensure releases include the documentation and support needed for ongoing operation.   WHAT WE'RE LOOKING FOR - Experience building, deploying and operating production software on a major cloud platform. - Strong practical knowledge of infrastructure as code, containers, Linux, networking, identity and access management, and CI/CD. - Solid software engineering skills, including backend services, APIs, databases and the ability to work across frontend and backend code. - Experience with data pipelines, object storage, relational databases and reliable processing of large datasets. - Evidence of taking ownership of an existing platform: understanding unfamiliar code, diagnosing problems and delivering improvements safely. - Experience leading external developers or contractors, including scoping work, reviewing implementation and holding delivery to clear quality standards. - Clear written and verbal communication, with the ability to turn incomplete requirements into actionable technical work. - Sound judgment about what to build directly, what to delegate and when to involve internal engineering specialists. Experience with robotics, machine learning infrastructure, sensor data or internal data platforms would be valuable. We welcome engineers with particular depth in infrastructure or platform engineering who can demonstrate effective delivery across the wider software stack. WHAT SUCCESS LOOKS LIKE? The data platform is deployed reliably within Humanoid and develops in line with internal engineering needs. Contractor work arrives tested, documented and ready to integrate. Internal teams have clear visibility into progress and decisions, while you own the technical context, coordination and follow-through needed to deliver.   WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

— Разработка и реализация ASO-стратегии (App Store); — Сбор семантики, регулярная оптимизация метаданных;