Job Title

6-10 years of experience in embedded/AI hardware design with a focus on high-performance computing   Proven experience designing PCBs for GPU integration (NVIDIA GeForce, Quadro, Tesla series)   Hands-on experience with NPU and AI accelerator integration (Intel VPU, Google TPU, Qualcomm NPU)   Deep understanding of AI hardware architectures and computational requirements for ML workloads  Expert proficiency in professional PCB design tools: (Altium Designer /Cadence Allegro / Mentor Graphics PADS / KiCad )  Experience with high-bandwidth memory interfaces (HBM2, HBM3, GDDR6/6X)  Knowledge of AI interconnect standards (NVLink, PCIe Gen4/5, CXL, InfiniBand)  Proficiency with hardware debugging and validation tools  Experience with DFM/DFT practices for AI hardware manufacturing  Knowledge of EMI/EMC compliance for high-frequency AI systems  Optimize signal integrity for high-frequency interfaces (DDR4, DDR5, HBM2/3)  Handle thermal design for 300W+ TDP processors with heatsinks or liquid cooling  Validate designs using high-speed oscilloscopes, logic analyzer  Strong understanding of CMOS/CCD camera sensors and video interface integration (MIPI, CSI, GMSL)  Lead end-to-end PCB design cycle – from concept, schematic, and layout to bring-up and validation  Select components based on AI compute, thermal, and power constraints (MCUs, GPUs, sensors, PMICs)  B.E./B.Tech in Electrical Engineering, Computer Engineering, or Electronics Engineering   M.E./M.Tech preferred with focus on VLSI Design, Computer Architecture, or AI Hardware  Minium 6 Years Experienced   Budget :  Max upto 18LPA