Electronics Team Lead

Job Description:We are seeking an experienced (8 - 10 yrs) Team Lead with expertise in FPGA (Xilinx) and Embedded Linux to drive the development of a thermal imaging system comprising a thermal core, FPGA-based Accelerator, and an embedded Linux Multicore SOM. The system shall process thermal images and display them on an OLED screen.Leading a team of development engineers while ensuring seamless integration between FPGA and Linux subsystems and delivering a high-performance, low-latency thermal imaging HW and SW solution.Key Responsibilities:- Leading team of FPGA, Embedded Linux, and firmware engineers in designing and developing the thermal imaging software for the defined Architecture - Architect and implement real-time thermal image processing pipelines on Xilinx FPGA (Zynq/Artix/Kintex) and multicore ARM based SOM - Develop and optimize embedded Linux drivers and middleware for thermal data acquisition, processing, and display. - Interface thermal sensors (e.g. LYNRED/ FLIR Lepton/IADIY series UC Bolometer cores,) with FPGA and Embedded Linux subsystems. - Implement low-latency DMA, image processing algorithms (NUC, AGC), Noise cancellation Algorithm and display drivers - Ensure seamless FPGA-Linux communication (AXI, UART, SPI, I2C,USB, custom IP cores). - Define and enforce coding standards, version control (Git) and CI/CD pipelines. Optimize system performance for power, latency, and throughput. - Collaborate with hardware engineers on PCB design, signal integrity, and thermal management. - Conduct design reviews, assist in debugging, and validation with HW and SW tools. - Review Design DocumentationRequired Skills & Experience:- Min 8 - 10 years in FPGA (Xilinx Vitis/Vivado) + Embedded Linux development. - Strong expertise in real-time image processing (thermal preferred). - Hands-on experience with: - Xilinx SoCs (Zynq, MPSoC), AXI, VHDL/Verilog, HLS (C/C++) - Embedded Linux (Yocto, Buildroot), Device Drivers, U-Boot, Kernel Modules - Sensor interfacing (I2C, SPI, MIPI), DMA, and low-level optimizations - OLED,HDMI display controllers - Proficiency in Python/C/C++ for embedded applications. - Experience with thermal imaging cores. - Knowledge of bare board bring-up, SW and HW debugging - Prior work in defense, medical, or industrial thermal imaging is desirable . - Experience with AI/ML acceleration on FPGA (TensorFlow Lite, PyTorch).will be added advantageEducation:- Bachelor’s/Master’s in ECE, Electrical Engineering, or Computer Science.

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