Who we are
Helsing was built to keep our democracies from harm. We believe that software – and artificial intelligence in particular – will be the key capability to do just that. Our mission is to attract Europe’s best mission-driven tech talent and apply their capabilities to some of the most complex problems in defence technology.
We are looking for people with their heart in the right place, who share our conviction that our democratic values are worth protecting, for ourselves and for future generations. We are a diverse team of software engineers, deep learning specialists and customer-facing programme managers, working on some of the most challenging problems in the defence space.
We care about our work and mission, and we welcome open and transparent discussions about the use of AI, its benefits and its ethical implications.
The impact you will make
Effectively all data that our systems manage is indexed in space-time: sensors produce time series data tagged with the location it was recorded in, AI inference is parametrized by location and time of its inputs, sensor fusion is fundamentally a what∧where∧when correlation task, and applications and GUIs guide our users through information represented on maps and timelines.
We are looking for industry or academic expertise in GIS facets such as data modeling, algorithms, query languages, database systems (real-time/in-memory as well as long-term/stable), APIs, information exchange protocols, or user interfaces.
You will design and implement our GIS infrastructure, sometimes by selecting and assembling the right off-the-shelf components, and more often by building bespoke systems from the ground up. GIS systems have interfaces with many other components and you are comfortable working with teams across Helsing in order to architect for adaptable interoperability. We are looking for individual contributors as well as team leads.
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. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.