Job Opportunities API

At Zone 5 Technologies, we're redefining what's possible in unmanned aircraft systems. Our team of engineers and innovators is developing cutting-edge autonomous solutions that push the boundaries of UAS technology - solving complex challenges that matter. We're building the future of UAS capabilities, and we're looking for exceptional talent to join us. If you're driven by hard problems, energized by rapid innovation, and ready to make an impact on next-generation flight systems, you belong here. We are looking for a Perception Simulation Engineer to build the  sensor-simulation and synthetic-data backbone  of our Unreal Engine simulation environment. Where a general mission-simulation engineer builds worlds and vehicle dynamics, this role is focused specifically on  making simulated perception good enough to develop and validate real perception and target-tracking software before flight  — high-fidelity RGB and thermal (IR) camera models, sensor feeds streamed onto ROS 2 topics, and synthetic data pipelines that feed our detection, tracking, and Target State Estimation (TSE) stacks.   You will work at the seam between the Unreal Engine and perception pipelines, turning "we can render a scene" into "we can trust the perception numbers coming out of the sim." This is a foundational effort.   We welcome both generalists and specialists—you do not need every skill listed below.   Responsibilities:   Synthetic Sensor Modeling (core of the role)   Build high-fidelity  RGB and long-wave IR (thermal)  camera models in Unreal Engine, and render both views from platform-mounted cameras.   Tune simulated camera output to  match (or closely approximate) real-world camera performance  — FOV, resolution, framerate, thermal response — driven by the specs of the sensors we actually fly (e.g. FLIR Boson / Boson+ LWIR).   Implement realistic sensor noise, artifacts, motion blur, and failure modes so perception software is tested against hard cases, not clean renders.   Support  camera articulation independent of vehicle orientation  (gimbal/boresight), so control-envelope requirements can be derived directly from camera specs.   ROS 2 Integration   Publish simulated camera imagery and sensor data onto  ROS 2 topics  using the shared  strive_msgs  /  strive_interfaces  contracts, so the same interface serves sim and hardware.   Implement and test developer contracts and fulfill deterministic simulation requirements.   Feed the perception pipeline and downstream  Target State Estimation (TSE)  with simulated sensor streams and ground-truth labels for evaluation.   Synthetic Data & Target Simulation   Build  synthetic-data generation and export pipelines  (imagery + bounding boxes / segmentation / range + pose ground truth) suitable for training and evaluating detection, tracking, and TSE models.   Implement  target injection : spawn and drive targets (vehicles, people, infrastructure) with configurable motion, including  dynamic add/remove during a running mission  to simulate delayed deployments and dynamic scenarios.   Support target-hint / track integration based on ground based sensor tracking and ground-truth generation for scoring TSE accuracy (position/velocity/acceleration error).   Asset & Scenario Pipeline   Own the process to  import external target CAD  (e.g. TurboSquid) and  Zone 5 platform CAD  into the sim as usable, correctly-scaled models.   Manage the 3D asset pipeline (models, materials, thermal material properties for the IR view).   Enforce scenario-driven rules