Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from China Telecom Singapore Innovation Research Institute
About the job
【About the Role】
Join our pioneering team to redefine the future of local inference for AI models and ecosystems. We are building an FPGA-based general computation systems as a superior alternative to GPUs for Large Language Model (LLM) acceleration in Edge and Open Radio Access Network (O-RAN) environments. You will lead the hardware design, optimizing and accelerating high-performance AI inference on FPGA-based platforms.
【Key Responsibilities】
- FPGA Development:
Architect, optimize, and develop hardware acceleration designs for local inference of LLMs on AMD FPGA platforms. Perform synthesis, place-and-route, timing closure, and power analysis. Debug FPGA-related issues using built-in logic analyzers with JTAG debuggers.
- IP Development and Integration:
Develop/optimize key IPs such as MIGs/PCIe/DMA cores/parallel computing entities at RTL. Create testbenches and verification environments for a full IP validation.
- Integration & Validation:
Support System-level integration, work alongside software engineers to transfer algorithms into FPGA hardware designs, using proper acceleration/ HDL languages. Perform end-to-end system-level testing, generate design description and testing documentations.
【Technical Requirements】
- Hardware:
5+ years of experience in
VHDL/Verilog/SystemVerilog
or
HLS
, especially in acceleration for parallel computation and/or neural networks. Expert in timing closure and resource optimization for large-scale FPGAs.
- AI background:
Understanding of architectures for Neural Networks such as CNNs/Transformers.
- Tools:
Mastery of Vivado/Vitis, and Python-based AI frameworks (PyTorch/TensorFlow).
- Interface & Protocols:
Proficiency in
PCIe
,
10/25/100G Ethernet
,
MIG
and
DMA
cores.
- Understanding of
digital signal processing (DSP)
fundamentals is a plus.
【Preferred Qualifications】
- Direct experience with
AMD Accelerator cards
for neural network acceleration applications.
- Knowledge of
HLS
for parallel computation/neural networks.
- Knowledge of
Python Domain-Specific Language
for parallel computation/neural networks.
【What We Offer】
- Opportunity to work on "World-First" AI-RAN integration projects.
- Collaborative environment with top-tier AI researchers and Telecom experts.
- Competitive salary and equity packages.
About the Company
China Telecom Singapore Innovation Research Institute stands as the first overseas R&D center of China Telecom, driving innovation in next-generation technologies.
Located in Singapore—a global hub for technology and research—the institute focuses on pioneering advancements in 6G and network AI. By fostering collaboration with industry and academic partners, we aim to promote the development of a comprehensive ecosystem and cutting-edge solutions in digital technology, operating technology, information technology, and communication technology on a global scale.
Source: China Telecom Singapore Innovation Research Institute careers