Research Engineer
7 months ago
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.
• Hands-on experience in machine learning, deep learning, or related AI methodologies, preferably with a focus on industrial applications.
• 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
Candidates should submit a resume, cover letter detailing research achievements publication history, and references to the SIT career portal. Additional documents such as a research portfolio or evidence of previous project work may also be submitted.
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