Senior FPGA Engineer

Principal / Senior Staff FPGA Engineer – Thermal Imaging & ISP

Location: Sunrise, FL

Employment Type: Full-Time, On-Site

Pixels on Target builds high-performance thermal imaging and electro-optical systems designed for demanding, mission-critical environments. We combine advanced sensing, embedded computing, FPGA acceleration, image processing, and AI/ML technologies to deliver real-time intelligence at the edge.

Our team moves quickly from concept through production, developing highly optimized systems where image quality, latency, power consumption, size, and reliability matter. We are looking for engineers who enjoy solving difficult technical problems, taking ownership of complex systems, and turning advanced algorithms into field-ready products.

We are seeking a Principal / Senior Staff FPGA Engineer to lead the architecture, development, and optimization of FPGA-based image processing systems for advanced thermal cameras and imaging products.

This is a senior individual-contributor role with significant technical ownership. You will architect and implement real-time Image Signal Processing (ISP) pipelines
, integrate infrared imaging sensors and displays, translate image-processing algorithms into highly optimized hardware architectures, and drive FPGA designs from initial concept through verification, timing closure, hardware bring-up, and production.

The ideal candidate has deep experience building high-throughput, low-latency FPGA systems and understands how to balance image quality, FPGA resources, memory bandwidth, latency, power, and system-level constraints.

You will work closely with imaging scientists, hardware engineers, embedded software engineers, AI/ML engineers, and system engineers to develop next-generation thermal imaging platforms.

• Architect and own FPGA-based real-time ISP pipelines for thermal imaging systems from sensor input through display and downstream processing.
• Design, implement, optimize, and verify complex FPGA architectures using System Verilog, Verilog, and/or VHDL
  .
• Implement thermal-camera image-processing functions such as:
• Non-Uniformity Correction (NUC)
• Bad-pixel detection and replacement
• Dynamic range compression
• Automatic gain control (AGC)
• Histogram-based image enhancement
• Spatial and temporal filtering
• Image sharpening and edge enhancement
• Digital zoom, scaling, cropping, and interpolation
• Image registration and stabilization
• Graphical overlays and video compositing
• Translate MATLAB, Python, C/C++, or algorithmic reference models into efficient, deterministic FPGA implementations.
• Develop highly pipelined and parallel hardware architectures optimized for throughput, latency, FPGA utilization, memory bandwidth, and power consumption
  .
• Architect streaming video datapaths and manage buffering, clock-domain crossings, synchronization, and frame-level timing.
• Integrate infrared focal plane arrays, digital video interfaces, displays, memory, processors, and other high-speed peripherals.
• Lead FPGA architecture decisions, design reviews, interface definitions, and technical trade studies.
• Own timing analysis and timing closure for large, complex FPGA designs.
• Develop simulation environments, self-checking test benches, assertions, and automated verification infrastructure.
• Perform hardware bring-up and debug using oscilloscopes, logic analyzers, embedded logic analyzers, and FPGA debug tools.
• Develop Python and Tcl automation for simulation, builds, testing, regression, and FPGA tool flows.
• Collaborate with AI/ML engineers to implement or accelerate computer-vision and machine-learning algorithms within FPGA-based imaging pipelines.
• Work closely with PCB and hardware engineers on FPGA pinout, memory architecture, power, clocking, interfaces, and board-level design decisions.
• Mentor FPGA engineers and establish best practices for architecture, RTL development, verification, timing closure, and design reuse.
• Drive FPGA designs through qualification, production release, and lifecycle support.

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical discipline.

• 10+ years of professional experience developing FPGA-based systems.
• Extensive experience architecting and implementing complex, production-quality RTL.
• Proven experience developing real-time image processing, video processing, computer vision, or ISP pipelines on FPGA platforms
  .
• Strong understanding of streaming image-processing architectures and pixel-level datapaths.
• Demonstrated experience optimizing algorithms through pipelining, parallelization, fixed-point implementation, memory optimization, and resource sharing.
• Extensive experience performing static timing analysis and achieving timing closure in complex FPGA designs.
• Experience developing sophisticated simulation and verification environments.
• Experience taking FPGA designs from architecture through hardware bring-up and production.
• Experience integrating…