Sr. FPGA Engineer

Everest Consultants, Inc.; Oregon; On-site; USD 170,000 - 210,000; Full time

Job summary

Everest Consultants, Inc. seeks a Senior FPGA Engineer to design, implement, and optimize FPGA-based solutions for AI workloads, focusing on RTL and HLS design and system-level verification on high-performance FPGA platforms.

You will collaborate with architecture, software and validation teams to meet performance, power and reliability targets, contribute to design reviews, and help define best practices for FPGA development within the organization.

Qualifications

• Bachelor's or Master's in Electrical Engineering, Computer Engineering, or related field, or equivalent practical experience.
• 8+ years FPGA or digital-design experience with complex production or advanced-development systems.
• Strong RTL design proficiency for FPGA/ASIC with Verilog-based work.
• Hands-on experience with PCIe-connected FPGA platforms, DMA, AXI4/AXI4-Lite/AXI4-Stream.
• Knowledge of HBM/DDR memory architectures and timing closure.
• Experience in FPGA hardware verification and debugging with simulations, assertions, and regression.
• Experience with Vivado/Vitis HLS, Linux, Python, Tcl, Git, and C/C++ host software.

Responsibilities

• Design, implement, and optimize FPGA modules for AI computing architectures.
• RTL and HLS design and system-level verification on high-performance FPGA platforms.
• Debug hardware issues and collaborate with architecture, software, and validation teams.
• Contribute to design reviews, maintain documentation, and define best practices for FPGA development.

Skills

FPGA/digital-design experience

RTL design proficiency

C/C++ HLS

Cross-functional collaboration

Documentation & test results

Education

Bachelor's or Master's in Electrical/Computer Engineering

Tools

Verilog

Vitis HLS

Vivado

Linux

Python

Tcl

Git

C/C++

Job description

Duration: FTE / Contract (3 - 6 months) / Part-Time

Our client is building groundbreaking heterogeneous architectures designed for the disaggregated computing needs of modern AI workloads. The company focuses on systems that can support 100x performance-to-bandwidth demands expected from future large-scale AI factories. By rethinking how compute, memory, and interconnects work together, our client enables highly efficient and scalable AI infrastructure.

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.

Day-to-day responsibilities include developing and refining FPGA modules, debugging complex hardware issues, collaborating with cross-functional teams (architecture, software, and validation), and ensuring designs meet performance, power, and reliability targets. The engineer will also contribute to design reviews, maintain documentation, and help define best practices and methodologies for FPGA development within the organization.

Minimum 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.

Preferred Qualifications

• Datacenter or cloud or edge FPGA platforms
• AWS F1/F2, distributed data-processing frameworks