Research Engineer II (Computer Science/Electrical Engineering/Artificial Intelligence)
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We are seeking a Research Engineer to join a university-level research centre collaborating with industry. The position is for one year, renewable subject to satisfactory performance. Successful candidates will be involved in a project that is related to generative design.
Key Responsibilities:
Deploy, optimize, and integrate generative AI models onto edge devices, ensuring efficient performance in real-world applications.
Develop robust pipelines and frameworks for AI model inference on edge platforms, considering hardware constraints and latency requirements.
Optimize AI models for power efficiency, memory footprint, and computational speed, utilizing techniques like quantization, pruning, and model distillation.
Conduct thorough testing, debugging, and performance validation of deployed models under various real-world conditions.
Work closely with researchers, data scientists, and software engineers to bridge the gap between research prototypes and deployable solutions.
Job Requirements:
Master’s degree or above in Computer Science, Electrical Engineering, Artificial Intelligence, or a related discipline.
Bachelor’s degree holders with relevant industry experience are also encouraged to apply.
Strong background in machine learning and deep learning, particularly in generative AI models.
Proficiency with relevant programming languages and frameworks such as Go, Python, C++, and CUDA.
Additional Criteria:
Industrial experience in relevant areas such as AI deployment, edge computing, or R&D is desirable.
Ability to work independently with limited supervision and collaborate effectively within a multidisciplinary team.
Strong problem-solving skills and the ability to adapt to hardware constraints and real-world challenges.
Familiarity with edge computing platforms (e.g., NVIDIA Jetson, ARM Cortex, and mobile chipsets) and related tools.
We regret that only shortlisted candidates will be notified.
Hiring Institution: NTU