Multimodal Sensing & Fusion Engineer — Hardware

helsing.ai; Germany (OH); On-site; USD 80,580 - 126,626; Full time

Benefits offered by this job

Competitive salary

VSOP options

Relocation support

Learning: €500/£450 yearly allowance

Health & wellness: gym membership and

Social: monthly social allowances

Enhanced parental leave: 22 weeks

Remote work option during pregnancy

Job summary

Helsing is seeking a Multimodal Sensing and Fusion Engineer to own the sensing stack end-to-end, integrating EO/LWIR cameras, radar, LiDAR, and IMU to feed Helsing's AI. You will specify sensor selection, placement, synchronization, and calibration, and define safety concepts for field deployments.

You will work at the intersection of hardware, electrical engineering, and AI research, collaborating with teams across Europe.

Qualifications

• Ph.D. or M.Sc. in Electrical Engineering, Computer Engineering, Applied Physics, Robotics, or related field, or equivalent professional experience.
• Professional track record in multimodal sensing or sensor-fusion systems (two or more of cameras, radar, LiDAR, IMU).
• Experience with system-level synchronisation (PTP/gPTP, PPS, hardware triggers).
• Mastery of sensor calibration (intrinsic/extrinsic, spatial/temporal) and maintenance across multi-sensor rigs.
• Ability to derive safety concepts for sensing or perception subsystems (defence/auto safety standards).
• Strong systems design instincts for hardware-software-algorithm interfaces, and low-level debugging in C/C++ or Rust plus Python.

Responsibilities

• Define the multimodal sensing architecture: select and integrate EO and LWIR cameras, radar, LiDAR, and IMUs, aligning requirements with the AI team to optimise algorithm performance and balance trade-offs across size, weight, power, cost, and robustness.
• Own sensor synchronisation: design and implement time synchronisation across heterogeneous sensors using PTP/gPTP, PPS, and hardware triggers such as Hsync and Vsync.
• Own sensor calibration: develop intrinsic, extrinsic, spatial, and temporal calibration procedures, including online and continuous recalibration, across cameras, radar, and IMU.
• Define safety concepts: derive failure modes, fault detection, isolation, and recovery concepts for the sensing subsystem, drawing on defence mission-safety thinking and automotive functional-safety practice (ISO 26262, SOTIF).
• Drive system design and architecture: analyse the interplay of hardware, software, and algorithm architectures, and define interfaces and data pipelines from sensor to AI.
• Bring hardware to life: hands-on lab work to bring up prototypes, test performance, and support integration into the software stack.
• Tune data quality: analyse application-specific sensing performance and adjust designs and low-level algorithms to maximise sensor data value for downstream AI.

Skills

Multimodal sensing

Sensor fusion

C/C++

Python

System synchronization

Camera/LiDAR/IMU

Education

Ph.D. or M.Sc. in EE/CE/Applied Physics/Robotics

Tools

FPGA

Linux

Job description

Helsing is seeking a Multimodal Sensing and Fusion Engineer to own the sensing stack end-to-end, integrating EO/LWIR cameras, radar, LiDAR, and IMU to feed Helsing's AI. You will specify sensor selection, placement, synchronization, and calibration, and define safety concepts for field deployments.

You will work at the intersection of hardware, electrical engineering, and AI research, collaborating with teams across Europe.