Lead Embedded FPGA Firmware Engineer Neuranics Lab

3.0 - 6.0 years

6 - 12 Lacs

Gurugram

Work from Office

Role & Responsibilities: Collaborate with cross-functional teams including hardware engineers, software developers, and medical experts to design, develop, and test embedded software and FPGA solutions. Develop firmware for FPGAs from vendors such as Xilinx Zynq, Lattice Semiconductor, and Texas Instruments , including SoC implementations and hardware/software co-design . Optimize and implement image and video processing algorithms on embedded platforms and FPGA architectures. Integrate and support FPGA/ASIC-based ISP blocks , ensuring high performance and accuracy in medical imaging applications. Work with SoCs with integrated ISP (e.g., Qualcomm, NVIDIA Jetson, Ambarella, MediaTek) and manage interaction with hardware accelerators. Design and develop firmware for STM32 microcontrollers , with a focus on motion control , real-time responsiveness , and precision actuation . Develop and implement motion control algorithms, including PID control and motor driver integration, for high-precision diagnostic instruments. Implement and optimize communication protocols such as SPI and UART to support system communication and control flows. Utilize real-time operating systems (RTOS) or bare-metal firmware development for deterministic system behavior. Perform thorough testing, debugging, and optimization using tools like oscilloscopes , logic analyzers , and JTAG debuggers . Support product design lifecycle activities including requirements specification , firmware documentation , and design reviews . Preferred candidate profile: Education: Bachelors or Masters degree in Electrical Engineering, Computer Science, or related field. A Ph.D . is a plus for R&D or algorithm-intensive roles, particularly in imaging or signal processing. Professional Experience: 3+ years of hands-on experience in embedded firmware development with strong C/C++ proficiency. Proven experience with FPGA design using VHDL/Verilog , and development with tools like Vivado, Quartus, or Diamond. Experience working with STM32 microcontrollers , including development environments like STM32CubeIDE and IAR Embedded Workbench. Core Technical Expertise: Deep understanding of: SoC and camera architectures Memory hierarchy, DMA engines, cache control, and hardware accelerators Motion control techniques for motor and actuator systems Image Signal Processing (ISP) pipelines: demosaicing, AWB, AE, gamma, sharpening, etc. Familiarity with Linux kernel camera subsystems (e.g., V4L2) . Ability to optimize embedded code for performance, power, and latency. Desirable Knowledge Knowledge of medical device standards and regulations such as ISO 13485 and IEC 62304 . Familiarity with image quality tuning tools (e.g., Imatest, DxO Analyzer). Experience with real-time data acquisition, frame synchronization , and multithreaded image capture pipelines . Soft Skills Strong problem-solving and debugging skills in complex embedded systems. Excellent communication and collaboration abilities, with experience working in interdisciplinary teams .

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