America is critically deficient in production of defensive munitions- we currently produce shipborne interceptors in the few hundreds per year while our adversaries are producing offensive threats in the tens of thousands per year. Furientis was started to help solve this problem- introducing a new class of cost-effective, high production rate, interceptor missiles. We're seeking motivated individuals who internalize this problem and are eager to apply their past experience in similar industries (aerospace, defense, automotive/racing, robotics) and out of the box thinking to solve this problem for the US and its allies.
About the Team
The Seeker Team builds the eyes and the targeting logic of our weapon system: a low-cost, mass-producible, multimodal missile seeker that leans on commercial supply chains where they outperform, and vertically integrates wherever possible. On a modern missile, the seeker is 40 to 60% of unit cost and often drives overly long delivery cycles; accordingly, the seeker team is at the tip of the spear for delivering capability to our customers and value to the taxpayer.
Seeker design has exactly two real constraints: physics and mission. Nothing else is a show-stopper, only an obstacle to overcome. We are a small, deeply technical team that drives capability through ingenuity and bias for action and ships hardware that flies. This is a wear-many-hats environment where you must be comfortable "building the airplane in flight" and stepping well outside your comfort zone; a narrowly scoped role with clean handoffs is not what this team offers.
This is an AI-native team. Through fluent use of cutting-edge agentic coding tools, one engineer here consistently out-delivers a much larger conventional team. You will have opinions about where these tools help and where they do not, provide governance input, and build out an AI-centric workflow from day one.
About the Role
You build the worlds this seeker trains and fights in. World building and encounter building are the job: the environments (terrain, atmosphere, backgrounds, clutter) and the encounters staged in them (targets, kinematics, countermeasures, timelines). The scenario space is your product, constructed deliberately for coverage, so the algorithms team never discovers a gap the hard way. Physics correctness of the world belongs to the modeling and simulation engineer; rendering it at volume belongs to the Seeker Data and Tooling Engineer; what worlds and encounters exist is yours.
What You'll Do
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Build environments: terrain from real geospatial data, atmospheres, backgrounds, and clutter representative of the mission set.
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Build encounters: target sets, kinematics and behaviors, countermeasure employment, and engagement timelines.
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Own coverage as a product: the corpus spans aspect angles, ranges, conditions, and countermeasures by design, with gaps found by you first.
Skills We're Hiring For
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5+ years building synthetic environments or scenarios: game, simulation, autonomous vehicle, or defense.
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Hands-on work in Unreal, Unity, or Blender, or an equivalent, including C++ or C# scripting for Unreal or Unity.
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Geospatial data craft: DTED, imagery, and map projections, with careful handling of coordinate systems.
Bonus Points For
