Senior Sensor Systems & Integration Engineer

Role summaryWe are building intelligent sensing systems by integrating diverse sensor technologies into unified platforms.The Senior Sensor Systems & Integration Engineer will lead the end-to-end integration of multi-modal sensor systems — from hardware interfaces and data acquisition to signal processing and system validation.This is a hands-on role focused on building robust, real-world sensing systems that operate reliably outside the lab, working across hardware, embedded, and AI/ML components.Key responsibilitiesIntegrate diverse sensor modalities (optical/thermal, acoustic/audio, RF/radar (mmWave, FMCW), motion/IMU, cameras including RGB/depth/event-based, and environmental sensors)Design and implement sensor interfaces using SPI, I²C, UART, CAN, and EthernetDevelop and manage data acquisition pipelines for reliable, low-latency sensor dataLead sensor selection, evaluation, and characterization based on performance, noise, and environmental constraintsPrototype, deploy, and validate sensor systems in real-world conditionsImplement sensor synchronization and calibration across multiple modalitiesDevelop signal processing pipelines (filtering, denoising, feature extraction)Deployment of sensing systems on embedded platforms and edge AI deviceDebug system issues across hardware, firmware, and data pipelinesCollaborate with AI/ML teams; support multimodal sensor fusion and deployment on edge systemsWork with time-series and waveform data from different sensor modalitiesRequired skills and competenciesMaster’s or PhD's degree in Electrical Engineering, Electronics, Mechatronics, or a related field7+ years of experience in sensor systems, hardware integration, or embedded sensing platformsStrong experience with sensor interfaces (SPI, I²C, UART, CAN, Ethernet)Hands-on experience integrating and deploying multi-sensor systemsSolid understanding of signal processing for time-series/sensor dataExperience working with data acquisition systems and sensor data pipelinesStrong debugging skills across hardware, system, and data levelsDesirableExperience with multiple sensing modalities (RF/radar, acoustic, IMU, cameras, optical, etc.)Experience with sensor calibration and synchronizationFamiliarity with embedded Linux or edge platformsExposure to ML workflows or sensor fusion systemsKey AttributesStrong systems thinker with hands-on mindsetComfortable working across hardware, embedded, and data layersPragmatic, detail-oriented, and focused on real-world performanceCurious about sensing technologies and complex signal environmentsAble to operate independently in a fast-paced startup environment