Description
Job Overview
As the Lead System Engineer for EO/IR Sensing at Helsing, a defence AI company, you will oversee the complete end-to-end integration of the airborne electro-optical/infrared targeting system. This role involves translating mission needs into specific performance requirements for detection, tracking, and identification, defining the sensor's concept of operations and algorithm integration, guiding the technical supplier interface, directing the verification and test campaign, and ensuring seamless data integration with the core mission system.
Responsibilities
- Direct system engineering and integration of the airborne EO/IR targeting system to ensure operational readiness
- Translate mission needs into specific performance requirements, including detection, recognition, identification ranges, and environmental limits
- Define and maintain sensor mode sets and concepts of operations to ensure effective sensor scheduling across mission phases
- Integrate target detection, tracking, and classification pipelines by selecting algorithms and tuning thresholds for operational false-alarm tolerance
- Ensure robust multi-sensor cueing and seamless data interfaces to mission computers and command systems
- Plan and execute verification and test campaigns with a focus on installed sensor performance and objective evidence gathering
- Coordinate technical supplier relationships, reviewing specifications, acceptance tests, and algorithm releases to ensure compliance
Requirements
- Hold a degree in Electrical Engineering, Aerospace Engineering, Systems Engineering, or a related discipline
- Have delivered EO/IR targeting systems through integration, test, and operational release
- Can translate complex mission scenarios into concrete detection, recognition, and identification requirements
- Possess practical expertise with sensor mode design and sensor scheduling across various mission phases
- Have integrated detection and classification pipelines, including confidence metrics and false-alarm control
- Can guide verification and testing processes while debugging issues across imagery, algorithms, and avionics
Nice to Have
- Practical experience with ML-based Automatic Target Recognition (ATR)
- Understanding of multi-sensor cueing and track association, such as radar or ESM to EO/IR handover
Benefits
- Competitive salary and VSOP options
- Relocation support: up to €2,500 and 4 weeks temporary accommodation
- Learning: €500/£450 yearly allowance
- Health and 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 and 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