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Helsing

Multimodal Sensing and Fusion Engineer

RemoteGermany, United Kingdom only
Published
Role
Research
Employment
Full-time
Salary not disclosed
Check eligibility

Open to DE, GB only. Set where you work from to check your eligibility.

Required skills

CC++RustPythonPTPgPTPPPSHsyncVsyncISO 26262SOTIF

What you'll do

  • 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, so all modalities share a common, precise time base.
  • 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 both 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 the interfaces and data pipelines from sensor to AI.

What they require

  • A Ph.D. or M.Sc. in Electrical Engineering, Computer Engineering, Applied Physics, Robotics, or a related field, or equivalent professional experience.
  • A 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, including strategies for maintaining calibration across a multi-sensor rig over its operational lifetime.
  • The ability to derive safety concepts for a sensing or perception subsystem, from a defence or mission-critical background, an automotive functional-safety background (ISO 26262, SOTIF), or both.

town and seat of Helsingborg Municipality, in Scania County, Sweden

Defense Technology

What people say about this company

5.0/ 5

Salary not disclosed