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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Embedded Imaging Software Engineer - **Company:** Urban, Ltd. - **Location:** Denver, CO, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** C++ (Programming Language), Codecs, Nvidia CUDA, Linux on Embedded Systems, Embedded Software, Firmware, Field-Programmable Gate Array (FPGA), Graphics Software, Image Quality, Imaging Technology, Metadata Standards, PCI Express, Software Architecture, Real-Time Operating Systems, Software Engineering, Low Latency, Bare Metal, Super-Resolution, Machine Learning Operations, Front End Software Development, NVIDIA Jetson, Hardware Debugging - **Published:** November 4, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-embedded-imaging-software-engineer-denver-co--10c84902-b809-43f2-9f22-326e49aa00f2 ## About the Role Software Engineering, Imaging Application, Embedded Software, Imaging Application, Software Engineering, Computer Firmware, Wheel/Front-End Loader, Embedded Software, Aircraft Piloting, IR (Infrared), * Experience building end-to-end camera/imaging systems, from sensor to downstream consumer * Working experience with image processing pipelines (debayering, calibration, correction) and CUDA or GPU-accelerated processing * Experience with optical calibration and characterization - distortion modeling, vignetting correction, MTF/sharpness measurement - and building the correction steps that apply them in a processing pipeline * Familiarity with motion/temporal compensation techniques (registration, stabilization, temporal filtering) for imaging from moving platforms * 5+ years developing embedded firmware in C/C++ for embedded Linux and/or bare-metal/RTOS systems * Hands-on experience shipping on NVIDIA Jetson or comparable embedded Linux/SoC platforms * Deep experience moving high-rate data over PCIe (driver, DMA, endpoint/root-complex level) * Solid grounding in networking, data routing, and command-and-control infrastructure * Strong hardware debugging skills and comfort working from schematics Nice-to-Haves / Preferred Skills: * IR/thermal imaging experience, including NUC and radiometric calibration * GStreamer, V4L2, or other imaging/video pipeline frameworks * Computational imaging techniques (super-resolution, stacking, HDR) * Defense imagery and metadata standards (MISB/KLV, STANAG); defense or mission-critical development experience * FPGA workflows or high-speed serial interfaces (SerDes, Aurora, MIPI) * Experience with optics and optical hardware * Experience with multi-sensor and multispectral fusion - co-registering and combining imagery across sensors and bands into fused data products, in partnership with downstream data teams Requirements: * Must be US Citizen or Permanent Resident * Must be able to obtain and maintain a US security clearance (an active clearance is a plus) * Must be located near Denver, CO or willing to relocate; role is on-site at our Denver headquarters (4800 Race St) * Travel expected to support field events, exercises, and customer engagements ## Description Urban Sky is seeking a Senior Embedded Imaging Software Engineer to own the firmware, imaging pipeline, and data-movement stack behind our electro-optical (EO) and infrared (IR) payloads - from the sensor at the focal plane to the command-and-control link on the ground. You'll write the firmware that drives our cameras and edge compute, own the CUDA image processing pipeline that turns raw pixels into clean, calibrated, geo-tagged imagery, and architect the high-rate data paths and C2 infrastructure that connect the payload to the customer. Your goal: deliver clean, honest imagery. Much of this work proves out in the field - at events, exercises, and customer engagements., * Own embedded firmware for our EO and IR payloads: sensor bring-up, driver development, and edge compute on NVIDIA Jetson platforms * Integrate cameras and sensors over PCIe, MIPI/CSI, and USB, and develop board-support packages for custom carrier boards, system-on-modules, and companion microcontrollers * Own the L0 image processing pipeline running in CUDA at the edge: debayering, white balance, gamma, and camera/lens correction - applied to raw frames before any codec * Own IR-specific processing: non-uniformity correction (NUC), bad-pixel replacement, and radiometric calibration * Develop multi-frame super-resolution and related computational imaging capabilities * Implement imagery metadata (KLV/MISB) so every frame carries accurate pointing, position, and time * Architect high-throughput data paths across the vehicle - PCIe as a first-class specialty - and the routing infrastructure that carries imagery, telemetry, and C2 across satellite, tactical-radio, and IP links * Optimize for latency, throughput, and determinism, and balance pipeline compute against onboard ML workloads sharing the same CUDA resources * Integrate payload firmware with the gimbal and motion-control stack, consuming pointing and autonomy commands from the broader payload software architecture * Develop and maintain optical calibrations for our EO/IR payloads - lens distortion modeling, vignetting/flat-field correction, and MTF/sharpness characterization - so imagery quality is measured and repeatable across cameras and flights * Implement motion and temporal compensation (frame-to-frame registration, stabilization, and temporal filtering) to maximize effective image quality from a moving platform