[Hiring] Senior FPGA Engineer @Everest Consultants

Role Description

The Senior FPGA Engineer will design, implement, and optimize FPGA-based solutions that support client's advanced AI computing architectures. This position involves RTL and HLS design, and system-level verification on high-performance FPGA platforms.

• Developing and refining FPGA modules
• Debugging complex hardware issues
• Collaborating with cross-functional teams (architecture, software, and validation)
• Ensuring designs meet performance, power, and reliability targets
• Contributing to design reviews
• Maintaining documentation
• Defining best practices and methodologies for FPGA development within the organization

Qualifications

• Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related field, or equivalent practical experience
• 8+ years of FPGA or digital-design experience with complex production or advanced-development systems
• Solid foundation in Electrical Engineering principles, particularly digital logic, timing, and hardware interfaces
• Strong proficiency in RTL Design for FPGA/ASIC, hands-on practical experience with HDLs such as Verilog, and strong practical experience with C/C++ HLS
• Hands-on experience with PCIe-connected FPGA platforms, DMA, AXI4/AXI4-Lite/AXI4-Stream, interrupts, and host integration
• Strong knowledge of HBM/DDR and on-chip memory architecture, pipelining, buffering, backpressure, CDC, reset, and timing closure
• Demonstrated capability in FPGA hardware verification and debug using simulation, assertions, coverage, reference models, automated regression, and ILA or equivalent tools
• Experience with AMD/Xilinx Vivado and Vitis HLS, plus Linux, Python, Tcl, Git, and C/C++ host software
• Familiarity with high-speed interfaces, memory subsystems, or networking protocols is beneficial
• Ability to collaborate in a multidisciplinary team, communicate technical concepts clearly, and document designs and test results
• Background in high-performance computing, AI and data analytics acceleration, or heterogeneous architectures is a plus

Requirements

• Datacenter or cloud or edge FPGA platforms
• AWS F1/F2, distributed data-processing frameworks
• Database or analytics acceleration
• RDMA/networking, multi-FPGA systems
• Early-stage product development

Benefits

• Base salary (DOE) plus equity, medical insurance, and 401(k) for full-time positions
• Medical, dental, & vision insurance, short-term disability, life and AD&D insurance, and a 401(k) retirement plan for contract positions