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Multimodal Sensing and Fusion Engineer

Helsing· Hardware Engineering
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Hybrid (Munich, Berlin, London)Posted 3mo ago

About the role

Multimodal sensing and fusion engineer responsible for end-to-end sensor stack integration (EO/LWIR cameras, radar, LiDAR, IMUs) to provide coherent input to Helsing's AI for defence applications. Role spans sensor selection, placement, synchronization, calibration, safety concepts, system architecture, hands-on hardware bring-up, and data-quality tuning in an operational environment.

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, 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.
  • Bring hardware to life: spend hands-on time in the lab bringing up prototypes, testing performance under varying conditions, and supporting integration into the software stack.
  • Tune data quality: analyse application-specific sensing performance and adjust designs and low-level algorithms to maximise the value sensor data provides to downstream AI applications.

Qualifications

  • 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.
  • Strong systems design instincts, comfortable reasoning about the interplay of hardware, software, and algorithms.
  • Proficiency in C/C++ or Rust for low-level firmware development and hardware-software interface debugging, plus Python.

Skills

Required:Multimodal sensing system designSensor synchronizationSensor calibrationSafety concepts for sensing subsystemsSystem architecture and interfacesHands-on hardware bring-upData quality and algorithm tuningLow-level programming

Benefits

  • Competitive salary
  • VSOP options
  • Relocation support: up to €2,500 and 4 weeks temporary accommodation
  • Learning: €500/£450 yearly allowance
  • Health & wellness: gym membership and mental health support (Nilo.health)
  • Social: regular company events and monthly social allowances
  • Enhanced parental leave: 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers
  • Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work
  • A hands-on onboarding program (Infraduction) to build tooling and apps used across the company
Last updated Aug 4, 2026. Interested? Apply on the company site.

About Helsing

Helsing | Artificial intelligence to protect our democracies

AI for electronic warfareAI-enabled precision mass and autonomous systemsAutonomous air dominanceMass defence manufacturingRecce strike softwareUnderwater autonomous massliquid-ai-recruiting-target
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