Senior Sensor Systems & Integration Engineer

Role summary

We 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 responsibilities

• Integrate 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 Ethernet
• Develop and manage data acquisition pipelines for reliable, low-latency sensor data
• Lead sensor selection, evaluation, and characterization based on performance, noise, and environmental constraints
• Prototype, deploy, and validate sensor systems in real-world conditions
• Implement sensor synchronization and calibration across multiple modalities
• Develop signal processing pipelines (filtering, denoising, feature extraction)
• Deployment of sensing systems on embedded platforms and edge AI device
• Debug system issues across hardware, firmware, and data pipelines
• Collaborate with AI/ML teams; support multimodal sensor fusion and deployment on edge systems
• Work with time-series and waveform data from different sensor modalities

Required skills and competencies

• Master’s or PhD's degree in Electrical Engineering, Electronics, Mechatronics, or a related field
• 7+ years of experience in sensor systems, hardware integration, or embedded sensing platforms
• Strong experience with sensor interfaces (SPI, I²C, UART, CAN, Ethernet)
• Hands-on experience integrating and deploying multi-sensor systems
• Solid understanding of signal processing for time-series/sensor data
• Experience working with data acquisition systems and sensor data pipelines
• Strong debugging skills across hardware, system, and data levels

Desirable

• Experience with multiple sensing modalities (RF/radar, acoustic, IMU, cameras, optical, etc.)
• Experience with sensor calibration and synchronization
• Familiarity with embedded Linux or edge platforms
• Exposure to ML workflows or sensor fusion systems

Key Attributes

• Strong systems thinker with hands-on mindset
• Comfortable working across hardware, embedded, and data layers
• Pragmatic, detail-oriented, and focused on real-world performance
• Curious about sensing technologies and complex signal environments
• Able to operate independently in a fast-paced startup environment