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Senior Embedded Firmware Engineer – Imaging Systems

Job in Denver, Denver County, Colorado, 80285, USA
Listing for: Urban-Sky
Full Time position
Listed on 2026-08-23
Job specializations:
  • Software Development
    Embedded Systems/ Firmware/ IoT
Salary/Wage Range or Industry Benchmark: 140000 - 180000 USD Yearly USD 140000.00 180000.00 YEAR
Job Description & How to Apply Below

Senior Embedded Firmware Engineer - Imaging Systems

About Urban Sky

Urban Sky is a venture-backed aerospace startup on a mission to pioneer humanity's routine, easy access to the stratosphere and the value locked within it. We design, build, operate, and sell stratospheric balloon systems. The data we collect supports a wide range of applications, from real-time wildfire monitoring to urban mapping. Our technology is also employed by government customers including the Department of War (DoW), NASA, and others.

Urban Sky sends flight vehicles to the stratosphere on a weekly basis.

Our team consists of engineers, makers, developers, and doers who believe in the power of human potential when passion meets utility within a small, supportive team. At Urban Sky we strive to create a team culture grounded in candor, inclusion, respect and empowerment.

We aim to build the next chapter of stratospheric history in Denver and Texas and are seeking self-starting, open-minded, and hard-working team members.

Urban Sky is seeking a Senior Embedded Firmware 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.

Key Responsibilities
  • 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
Qualifications
  • 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)
  • 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
  • Solid grounding in networking, data routing, and command-and-control infrastructure
  • Strong hardware debugging skills and comfort working from schematics
  • Experience with optical calibration and characterization - distortion modeling, vignetting correction, MTF/sharpness measurement - and…
Position Requirements
10+ Years work experience
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