- Outram Central Region (Singapore) Singapore
Kerja Sepenuh Masa FPGA Hardware Acceleration Researcher, Gaji tinggi SGD 12,000 di STARRY RECRUITMENT PTE. LTD. Central Region (Singapore) - Maukerja
FPGA Hardware Acceleration Researcher
STARRY RECRUITMENT PTE. LTD.
Kongsi
Simpan
Lokasi Kerja
Penerangan Kerja
Tanggungjawab
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:
*************
Licence No. : 25S2734Registration ID: R22107458
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
- 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
*************
Licence No. : 25S2734Registration ID: R22107458
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