Multimodal Sensing and Fusion Engineer

Berlin, Germany; London, United Kingdom; Munich, Germany

About the Position

Helsing is a defence AI company dedicated to protecting democracies. We are seeking a mission-driven Multimodal Sensing and Fusion Engineer to join our European teams in Berlin, London, or Munich. In this role, you will architect the multimodal perception front-end that combines various sensors into a single input for Helsing's AI, ensuring precise and synchronised data for operational environments.

Responsibilities

• Define the multimodal sensing architecture: select and integrate EO and LWIR cameras, radar, LiDAR, and IMUs, aligning requirements with the AI team.
• Own sensor synchronisation: design and implement time synchronisation across heterogeneous sensors.
• Own sensor calibration: develop intrinsic, extrinsic, spatial, and temporal calibration procedures.
• Define safety concepts: derive failure modes, fault detection, isolation, and recovery concepts for the sensing subsystem.
• Drive system design and architecture: analyse the interplay of hardware, software, and algorithm architectures.
• Bring hardware to life: spend hands-on time in the lab bringing up prototypes and supporting integration into the software stack.
• Tune data quality: analyse application-specific sensing performance and adjust designs and low-level algorithms.

Requirements

• A 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, including strategies for maintaining calibration across a multi-sensor rig.
• The ability to derive safety concepts for a sensing or perception subsystem.
• 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.

Nice to Have

• Depth in one or more of the following sensor modalities: thermal imaging, FMCW radar signal processing, or LiDAR and point-cloud processing.
• 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.
• A background in automotive, robotics, or aerospace sensor fusion, covering ADAS, AUTOSAR, ROS, or ISO 26262 and SOTIF.

We Offer

• Competitive salary and 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 (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company.

About the Company

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability, or gender identity. Join Helsing and work with world-leading experts in their fields to contribute to the protection of democratic countries while balancing both ethical and geopolitical concerns.