Multimodal Sensing and Fusion Engineer
Core
Architect and own the end-to-end multimodal sensing stack that fuses electro-optical, infrared, radar, LiDAR, and inertial data to feed Helsing's defence AI.
Role type
Senior IC multimodal sensing and fusion engineer
Builds
Operational sensing systems for defence hardware
Domain
Defence AI and autonomous systems
Deliverable
production ML models
Required skills
multimodal sensor fusion, system-level synchronisation (PTP/gPTP, PPS, hardware triggers), sensor calibration (intrinsic/extrinsic/spatial/temporal), safety concept derivation (ISO 26262, SOTIF), systems design, C/C++ or Rust, Python
Preferred skills
thermal imaging (LWIR), FMCW radar signal processing, LiDAR point-cloud processing, IMU and inertial navigation, sensor-fusion estimation (Kalman/EKF/UKF, particle filters), FPGA development, Linux kernel driver development
Technologies
PTP, gPTP, PPS, Hsync, Vsync, ISO 26262, SOTIF, C++, Rust, Python, Verilog, SystemVerilog, VHDL, MIPI CSI-2, LVDS
Responsibilities
Define multimodal sensing architecture and integrate EO/LWIR cameras, radar, LiDAR, and IMUs; design and implement precise time synchronisation across heterogeneous sensors; develop comprehensive sensor calibration procedures; derive failure modes and recovery concepts for the sensing subsystem; analyse hardware/software/algorithm interplay to define data pipelines; bring up prototypes in the lab and tune data quality for downstream AI applications
Seniority
Senior, hands-on IC