Multimodal Sensing and Fusion Engineer

The role

You will architect the multimodal perception front-end by combining cameras, radar, LiDAR, and inertial sensing. You will define sensor selection, synchronization, calibration, and safety concepts for operational environments.

What you will do

• Define the multimodal sensing architecture
• Own sensor synchronisation using PTP/gPTP, PPS, and hardware triggers
• Own sensor calibration including intrinsic, extrinsic, spatial, and temporal procedures
• Define safety concepts for the sensing subsystem
• Drive system design and architecture
• Bring hardware to life through lab prototyping and testing
• Tune data quality for downstream AI applications

Required qualifications

• Ph.D. or M.Sc. in Electrical Engineering, Computer Engineering, Applied Physics, Robotics, or a related field, or equivalent professional experience
• Professional track record building multimodal sensing or sensor-fusion systems combining at least two of: cameras (EO and/or LWIR), radar, LiDAR, and IMU
• Demonstrated understanding of system-level synchronisation, including PTP/gPTP, PPS, and hardware triggers such as Hsync and Vsync
• Mastery of sensor calibration, intrinsic and extrinsic, spatial and temporal
• Ability to derive safety concepts for a sensing or perception subsystem from a defence, mission-critical, or automotive functional-safety background
• Strong systems design instincts
• Proficiency in C/C++ or Rust
• Proficiency in Python

Nice to have

• Depth in thermal imaging (LWIR design, calibration, and programming)
• FMCW radar signal processing (detection, clustering, and tracking)
• LiDAR and point-cloud processing including cross-calibration with cameras and radar
• IMU and inertial navigation expertise, including GNSS/INS integration, bias and error modelling, and sensor alignment
• Sensor-fusion estimation experience: Kalman/EKF/UKF, particle filters, factor graphs, multi-object tracking, and data association
• Low-level hardware experience: FPGA development using Verilog, SystemVerilog, or VHDL, Linux kernel driver development, or experience with high-bandwidth sensor interfaces such as MIPI CSI-2 or LVDS
• Background in automotive, robotics, or aerospace sensor fusion, covering ADAS, AUTOSAR, ROS, or ISO 26262 and SOTIF

Benefits

• Competitive salary and VSOP options
• Relocation support: up to €2,500 and 4 weeks temporary accommodation
• Learning: €500/£450 yearly allowance
• Gym membership and mental health support (Nilo.health)
• Regular company events and monthly social allowances
• Enhanced parental leave: 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers
• 5 days of paid family emergency leave
• 100% remote work option during pregnancy and phased return to work
• Hands-on onboarding program

About the company

Helsing is a defence AI company with a mission to protect democracies. They aim to achieve technological leadership so that open societies can continue to make sovereign decisions.