National University of Singapore

Research Engineer (AI Hardware-Software Co-Design)

Q: What qualifications do I need for this Research Engineer role?

You need a minimum bachelor’s degree in Electrical Engineering, Computer Engineering, or a related field . The ideal candidate should have prior experience in AI hardware-software co-design and be familiar with using AI tools . A strong background in simulation methodologies that capture interactions between device characteristics, circuits/systems, and algorithm performance is essential. For more on building a competitive application, browse our research jobs resources .

Q: Where is the position located?

The role is based at the Kent Ridge Campus of the National University of Singapore . Kent Ridge is the university’s main campus, housing world‑class research facilities and a vibrant academic community. Use our university jobs tool to explore other opportunities at NUS.

Closes: Oct 10, 2026

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Job Description

Candidate will collaborate with the research team to develop methodologies for co-design of AI hardware accelerators.

The key focus will be to develop simulation methodologies, models and tools that capture interactions between device characteristics, circuits/systems behaviours and algorithm performance.

Qualifications

Min bachelor’s degree in Electrical Engineering, Computer Engineering or related fields
Familiarity with AI tool use and prior experience on AI hardware-software co-design
Open to Fixed Term Contract

Req ID: 34001

Apply now

Job details

Title: Research Engineer (AI Hardware-Software Co-Design)
Employer: National University of Singapore
Location: Kent Ridge Campus
Published: Aug 11, 2026
Closes:: Oct 10, 2026
Job type: Contractor, Staff / Administration
Field: Laboratory and Research

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Frequently Asked Questions

🎓What qualifications do I need for this Research Engineer role?

You need a minimum bachelor’s degree in Electrical Engineering, Computer Engineering, or a related field. The ideal candidate should have prior experience in AI hardware-software co-design and be familiar with using AI tools. A strong background in simulation methodologies that capture interactions between device characteristics, circuits/systems, and algorithm performance is essential. For more on building a competitive application, browse our research jobs resources.

🤖What is AI hardware-software co-design?

AI hardware-software co-design is an interdisciplinary approach that jointly optimizes AI algorithms and the hardware accelerators they run on. Instead of designing software and hardware separately, co-design ensures that device characteristics, circuit behaviour, and algorithm performance are tightly integrated. This leads to more efficient AI accelerators with higher performance and lower energy consumption. Explore related opportunities on our research jobs page.

📝Is this position open to fixed-term contracts?

Yes, the job posting explicitly states that the candidate must be open to a Fixed Term Contract. This type of employment is common for research‑focused roles at universities, offering flexibility for project‑based work. For similar fixed‑term research roles, see our research jobs listings.

📍Where is the position located?

The role is based at the Kent Ridge Campus of the National University of Singapore. Kent Ridge is the university’s main campus, housing world‑class research facilities and a vibrant academic community. Use our university jobs tool to explore other opportunities at NUS.

📋How can I apply for this Research Engineer job?

Applications are submitted directly through the university’s portal. Click the Apply now link in the job posting or visit this application link. The reference Req ID: 34001 should be kept handy for your records. For tips on preparing a strong application, check our guide to writing a winning academic CV.

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About the employer

National University of Singapore

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The National University of Singapore (NUS) offers a dynamic work environment with opportunities for growth, research excellence, and a commitment to global impact.

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Research Engineer (AI Hardware-Software Co-Design)