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Helsing

AI software and autonomous defense systems

Multimodal Sensing and Fusion Engineer

Electrical EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • 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 intrinsic and extrinsic, spatial and temporal sensor calibration, including strategies for maintaining calibration across a multi-sensor rig over its operational lifetime.
  • 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 and comfort 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.

Responsibilities

  • Define the multimodal sensing architecture by selecting and integrating EO and LWIR cameras, radar, LiDAR, and IMUs; align requirements with the AI team to optimise algorithm performance and balance trade-offs across size, weight, power, cost, and robustness.
  • 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.
  • Develop intrinsic, extrinsic, spatial, and temporal calibration procedures, including online and continuous recalibration, across cameras, radar, and IMU.
  • Define safety concepts by deriving 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).
  • Analyse the interplay of hardware, software, and algorithm architectures, and define interfaces and data pipelines from sensor to AI.
  • Bring up prototypes in the lab, test performance under varying conditions, and support integration into the software stack.
  • Analyse application-specific sensing performance and adjust designs and low-level algorithms to maximise the value sensor data provides to downstream AI applications.

Desired Qualifications

  • Depth in one or more sensor modalities: thermal imaging (LWIR design, calibration, and programming), FMCW radar signal processing (detection, clustering, and tracking), or 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 with Kalman/EKF/UKF, particle filters, factor graphs, multi-object tracking, and data association.
  • Low-level hardware experience, including FPGA development using Verilog, SystemVerilog, or VHDL; Linux kernel driver development; or high-bandwidth sensor interfaces such as MIPI CSI-2 or LVDS.
  • A background in automotive, robotics, or aerospace sensor fusion, covering ADAS, AUTOSAR, ROS, or ISO 26262 and SOTIF, and familiarity with how sensor data feeds downstream computer-vision or AI pipelines.

About the Company

Helsing

AI software and autonomous defense systems

Helsing develops AI software and autonomous systems for democratic governments, covering air, land, sea, and sub-surface domains. Its software combines data from drones, radar, satellites, cameras and other sensors to create a real-time operational picture that helps commanders detect threats and move quickly, while keeping key decisions under human control. Its product lineup includes AI-enabled strike drones (HF-1 / HX-2) for contested environments and underwater surveillance systems (SG-1 Fathom) for critical infrastructure. Helsing collaborates with European armed forces and partners such as Saab, Airbus and Kongsberg, and has supported Ukraine since 2022. The company has raised large rounds of funding, with a focus on expanding AI platforms and autonomous systems for partner nations. Its goal is to provide robust, field-ready AI-powered platforms that enable faster, safer decision-making and action in defense while maintaining governance over critical choices.

Company size
501-1,000
Company stage
Series E
Total funding
$3.3B
Headquarters
Munich, Germany
Founded
2021

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