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AI Summary
Build ML capabilities for electronic warfare systems, detecting, classifying, and reasoning about RF signals in congested, contested spectrum. Own problems end-to-end from literature review and prototyping on real recorded data to deployment on edge hardware under hard latency and compute budgets. Requires a PhD (or equivalent research track record) in ML, signal processing, physics, electrical engineering, or a related field, plus shipped non-trivial ML into a real product.
Key Highlights
ML on RF data for electronic warfare systems
End-to-end ownership from research to edge deployment
PhD or equivalent research track record required
Python required; Rust where deployment demands
Relocation support offered
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Key Responsibilities
Build AI capabilities inside electronic warfare systems: models that detect, classify, and reason about RF signals in congested, contested spectrum
Own problems end-to-end: read literature, prototype on real recorded data, push to the edge, watch it run
Work in a small research team alongside RF and hardware engineers and system operators
Focus on self-supervised representation learning on signal data, deinterleaving and emitter identification, mode recognition, and anomaly detection on embedded hardware
Technical Skills Required
Discover our full range of relocation jobs with comprehensive support packages to help you relocate and settle in your new location.
Benefits & Perks
Competitive salary and VSOP options
Relocation support up to €2,500 and 4 weeks temporary accommodation
Learning allowance €500/£450 yearly
Gym membership and mental health support
Regular company events and monthly social allowances
Enhanced parental leave
Family support and phased return to work
Interested in relocating to Germany? Check out our comprehensive Relocation Jobs in Germany page with detailed relocation packages and benefits.
Nice to Have
Experience with EW, SIGINT, ESM/ELINT, RWR, or radar concepts
Familiarity with RF signal theory (modulation, propagation, antenna patterns)
Experience deploying ML to edge or embedded hardware (ONNX, TensorRT, quantisation, profiling on constrained GPUs)
Job Description
Who we are
Helsing is a defence AI company with the mission is to protect our liberal democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards. We believe we have a responsibility to be thoughtful about the development and deployment of powerful technologies like AI and take this responsibility seriously.
We are an ambitious and committed team of software and deployment engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems today.
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