FPGA Hardware Acceleration Researcher

About the Role

We are looking for an experienced

FPGA Hardware Acceleration Engineer

to design, implement, and deploy high-performance compute pipelines on modern heterogeneous FPGA platforms, including

AMD Versal AI Edge

.

You will be responsible for the end-to-end hardware acceleration pipeline, from

RTL/HLS development and simulation through synthesis, timing closure, and physical board bring-up

. You will work closely with AI researchers and embedded software engineers to translate algorithms into efficient, low-latency, and deterministic hardware implementations.

Key Responsibilities

Design and implement custom FPGA compute engines and high-throughput streaming data paths using

Verilog/SystemVerilog or C/C++ HLS

.

Develop and optimize memory and data-transfer interfaces, including

AXI4, AXI-Stream, DMA, DDR4/LPDDR

, and related architectures.

Perform

logic synthesis, place-and-route, timing analysis, and timing closure

using

AMD Vivado, Vitis, and Vitis AI

.

Bring up and validate FPGA designs on physical evaluation boards and hardware-in-the-loop test environments.

Debug hardware issues using logic analyzers and on-chip debugging tools.

Integrate FPGA acceleration kernels with

ARM-based host processors

and embedded software stacks.

Optimize hardware architectures for

throughput, latency, resource utilization, memory bandwidth, and deterministic execution

.

Collaborate with AI/ML researchers and software engineers to map computational workloads onto FPGA-based acceleration platforms.

Requirements

Master’s degree or above

in Electrical/Electronic Engineering, Computer Engineering, Computer Science, or a related field.

Hands-on experience taking FPGA designs through the complete development cycle, including

RTL/HLS, simulation, synthesis, implementation, and on-board validation

.

Strong programming and hardware design skills in

Verilog/SystemVerilog, VHDL, or C/C++ HLS

.

Practical experience with

AMD Vivado/Vitis

or equivalent FPGA development tools.

Solid understanding of

FPGA architecture, pipelining, parallel processing, memory hierarchy, and hardware optimization

.

Strong knowledge of

AXI4 / AXI-Stream

and high-performance data movement architectures.

Experience with

DMA, PCIe, DDR4/LPDDR, or other high-speed memory and I/O interfaces

.

Experience with hardware debugging, board bring-up, and timing closure.

Preferred Qualifications

Experience with

AMD Versal, Versal AI Edge, Zynq UltraScale+, or other heterogeneous FPGA platforms

.

Experience accelerating

AI/ML, computer vision, signal processing, or other compute-intensive workloads

on FPGA.

Familiarity with

Vitis AI, FPGA-based AI acceleration, or heterogeneous CPU/FPGA architectures

.

Experience integrating FPGA accelerators with

ARM processors or embedded Linux systems

.

Strong understanding of performance optimization and hardware/software co-design.

With a strong focus on supporting startups in Singapore, we’re committed to driving your global success through exceptional leadership hires.Industries that I am specialised in:

• Artificial Intelligent
• Semicondutor
• B2B: Cloud, SaaS

Roles that we are expert with:

• CTO, VP | Director of Engineering
• Legal | Financial Director
• HR Director
• Sales Director
• Software Engineer (Backend, Frontend, Fullstack, QA, Mobile)
• DevOps | Site Reliability Engineer
• Machine Learning | Algorithm Engineer
• AI Researcher | Scientist
• Product Manager
• Solution Architect

Feel free to reach out to learn more about how we can support your team-building needs!

wendywu@starryhire.com

Licence No. : 25S2734Registration ID: R22107458