About Helsing
Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards. As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.
Responsibilities
•Own the product scope for offboard and cross-platform EW capabilities — leading problem framing, discovery, requirements, roadmap, and release across the full product lifecycle
•Engage directly with EW operators, analysts, and mission planners in their working environments, converting operationally complex and often second-hand inputs into clear, actionable product specifications
•Define and continuously improve the workflows by which customers adapt Helsing's products to their own data environments and operational contexts under security and data-availability constraints
•Drive the end-to-end process by which mission-critical data products are built, validated, and rolled out across teams and platforms — maintaining rigour at every stage
•Determine how Helsing's products integrate with customers' existing data sources, intelligence systems, and mission planning tools, ensuring operational coherence at the point of use
•Facilitate clear decision-making across a cross-functional team spanning RF, embedded software, ML, and ground-side tooling — making trade-offs visible and ensuring they are resolved with appropriate urgency
•Establish and maintain a regular, reliable shipping cadence into production environments where the conditions for frequent deployment are difficult by default
Requirements
•Have built and shipped data- or ML-driven products to specialist professional users in complex, high-stakes, or regulated domains — with real operational consequences for end users
•Have worked directly with end users in mission-critical or operational settings, translating ambiguous, real-world needs into precise and implementable product requirements
•Have successfully integrated products into existing customer data sources, intelligence systems, and operational toolchains — and maintained a consistent production shipping cadence in constrained environments
•Engage substantively with engineering teams spanning RF hardware, embedded software, and machine learning — bringing enough technical fluency to make trade-offs legible and decisions well-founded
•Hold a degree in electrical engineering, physics, computer science, or a related STEM discipline
•Hold a valid work permit for Germany, are eligible to undergo a German government security clearance at SÜ2 level, and have professional proficiency in English alongside working proficiency in German (B1 or above)
Nice to have
•Experience building products for defence, government, or other mission-critical customers, particularly in data-scarce or security-constrained environments
•A background in radar, RF, or electronic warfare — whether academic, industrial, or operational (for example, as an EW operator, SIGINT analyst, or radar/EW engineer)
•Direct experience with offboard EW, including mission data analysis workflows, or with cross-platform and networked EW architectures
What we offer
•Join Helsing and work with world-leading experts in their fields
•Helsing's work is important: you'll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns
•Unique work in a domain with highly unusual technical requirements and constraints, where robustness, safety, and ethical considerations are vital
•Work frequently at the state of the art in technical innovation — reinforcement learning, distributed systems, generative AI, or deployment infrastructure
•Helsing has already been selected for multiple significant government contracts
•A culture encouraging healthy, proactive, and diverse internal debate, with teams and individuals trusted to practise responsible autonomy and critical thinking
•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 ("Infraduction"), in which you will be building tooling and applications used across the company, learning the tech stack and working with other engineering teams from day one (specifically for engineering and AI roles)
