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Team Lead

2 weeks ago

Noida, Uttar Pradesh, India TAK Technologies Pvt. Ltd. Full time

We are seeking an experienced
years)
 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 systems to process thermal images and display them on an OLED screen.

Leading a team of engineers, ensure seamless integration between FPGA and subsystems and deliver a high-performance, low-latency thermal imaging HW and SW solution.

Key Responsibilities:

  • Leading team of FPGA, Embedded system, 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 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 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.

Required Skills & Experience:

  • Min 8 years in FPGA (Xilinx Vitis/Vivado) + Embedded development.
  • Strong expertise in real-time image processing (thermal preferred).
  • Hands-on experience with:
  • Xilinx SoCs (Zynq, MPSoC), AXI, VHDL/Verilog, HLS (C/C++)
  • 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, be added advantage

Education:

  • Bachelor's/Master's in 
    ECE, Electrical Engineering, or Computer Science
    .