Research Engineer

4 days ago

Queenstown, Singapore Singapore Institute of Technology Full time

**Job no**: 498658
**Department**: Infocomm Technology
**Contract type**: Contract

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

**Key Responsibilities**

**1. Research Development and Implementation**
- Assist in designing and executing AI research projects that meet both academic and industry standards.
- Develop, test, and optimize AI prototypes and simulation models using modern technology stacks.
- Adhere to SIT’s rigorous operational guidelines and ethical standards in all research activities.

**2. Technical Support and Collaboration**
- Provide robust technical support to the team, aiding in data analysis, software development, and system troubleshooting.
- Collaborate closely with engineers and researchers from NVIDIA and other industry partners to enhance AI model accuracy and utility.
- Contribute to technical documentation and project reports, ensuring thoroughness and accuracy.

**3. Knowledge Dissemination and Training**
- Help prepare materials for scholarly publications and presentations at academic and industry conferences.
- Facilitate the training of students and new team members on AI technologies and project protocols.

**4. Project and Resource Management**
- Assist in managing project timelines and resources, ensuring projects progress smoothly and efficiently.
- Identify potential technical challenges and participate in strategic planning sessions to address them effectively.

**Job Requirements**
- Bachelor’s or Master’s degree in computer science, data science, data analytics, AI, or related fields.
- Proficiency in programming languages such as Python, and C++, and familiarity with AI frameworks like TensorFlow or PyTorch.

**Key Competencies**
- Experience with NVIDIA’s hardware and software ecosystems.
- Excellent problem-solving skills and a collaborative spirit.
- Strong communication skills, capable of conveying complex information clearly and engagingly.

**Application Process

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