Research Engineer II (Trust Technologies)
At a glance
Mid-level AI Research role at Ntu. NTU Main Campus · full-time.
Pay not stated Research Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Turn algorithms into efficient FPGA architectures, then build prototypes that show what the research can enable
- Work with centre researchers to turn early ideas into proof-of-concept FPGA systems
- Build demonstration and transfer platforms that let research partners try new capabilities
- Tune FPGA designs for demanding privacy, cryptography, AI/ML and secure-computing workloads
- Prepare technical papers, presentations and documentation, while engaging global researchers on trusted hardware trends
What you bring
- A master's in computer science, engineering or a related discipline; a bachelor's plus at least four relevant years can also qualify
- Strong grounding in digital design, FPGA workflows, embedded systems and hardware-software co-design
- Linux, shell scripting, automation and version-control experience, including Git or comparable tools
- You can work independently under tight deadlines and explain complex hardware concepts clearly to varied stakeholders
Who this fits
This mid-level, hands-on research engineering role suits someone who enjoys building FPGA prototypes and communicating technical work across research and partner teams. The position is based at NTU's main campus in Singapore.
From the employer
Nanyang Technological University’s National Centre for Research in Digital Trust (DTC) is a Trust Technology Research Centre to execute a national program to help put Singapore into a strong trust hub. The key objective is to support efforts to create a trusted digital environment for its people and businesses by providing businesses and consumers with greater assurance and confidence as they digitalize.
We are looking for a Research Engineer to develop and implement FPGA based systems and hardware acceleration techniques in Trust Technology and related areas such as privacy and security, which are important components of digital trust platforms. The role will focus on emerging hardware technologies that enhance efficiency in trust and support the values of fairness, safety, efficiency, and privacy in digital systems.
Key Responsibilities:
Conduct research and development in FPGA and hardware acceleration technologies, translating algorithms into efficient hardware architectures, tools, and frameworks, and implementing working prototypes that demonstrate how research outputs can be innovated to build new capabilities.
Work closely with the Centre’s researchers to design and develop research prototypes into proof of concept FPGA based systems.
Design and build working platforms that support technology transfer of new capabilities to research partners and can be used to showcase the value of research outcomes.
Develop and optimize FPGA implementations for compute intensive workloads such as privacy preserving systems, cryptography, AI/ML, and secure computing applications.
Write and maintain technical documentation, presentations, and papers on FPGA systems, hardware acceleration, and trust technologies, helping to raise overall competency in these emerging areas.
Engage global partners and researchers to understand latest trends in FPGA, reconfigurable computing, and trusted hardware systems, and advance Singapore’s mindshare in this domain.
Job Requirements:
Master's in computer science/ engineering or related fields required,
Bachelor’s degree with at least 4 years of relevant experience can be considered.
Good communication skills and some interdisciplinary interests are desired, to be able to interact with researchers at the Centre.
Ability to work independently and to develop solutions under strict timelines is a must.
Ability to explain complex hardware and system concepts clearly to stakeholders, engineers, and business partners.
Good knowledge of digital design, FPGA development flow, embedded systems, and hardware software co design.
Familiarity with FPGA toolchains such as AMD/Xilinx Vivado, Vitis, Intel Quartus, or equivalent platforms.
Experience with interfaces and system integration such as PCIe, DDR, HBM, Ethernet, AXI, or similar technologies is preferred.
Good understanding of Linux environments, Unix shell scripting, automation workflows, and version control tools such as Git.
We regret to inform that only shortlisted candidates will be notified.
Hiring Institution: NTU