Tech Lead-Electronics

We are seeking an experienced 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, define architecture, ensure seamless integration between FPGA and Linux subsystems and deliver 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 Documentation

Required Skills & Experience:

• Min 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 advantage