We are looking for a Solutions Architect Intern to work with Robotics and Quantum Computing researchers in Taiwan, focused on academic society to adopt NVIDIA GPU platform on VLM, Digital Twin, AI, Accelerated Analytics, Simulation, Deep Learning or Machine learning technologies. NVIDIA’s platform for HPC/MIG and Omniverse (OM), deep learning and high-performance computing have already made a major impact on industry. At NVIDIA, our Solution Architects are drawn from elite developers and scientists who enjoy working with the latest GPU hardware and software. We need a passionate, hard-working, and creative individual to help us pursue more of these opportunities in fields. Your primary focus is on Robotics and Quantum Computing with researchers and developers at universities, research institutes and labs.
What you’ll be doing:
Assist in data collection, cleaning, and preprocessing for quantum computing and applied AI projects.
Implement baseline models and prototypes under the guidance of senior engineers, including training, evaluation, and visualization of results.
Conduct literature reviews and benchmarking of existing methods, and summarize key findings.
Help run experiments, tune hyperparameters, and maintain clear experiment logs to ensure reproducibility.
Prepare demo scripts, notebooks, and internal documentation to showcase project outcomes to internal stakeholders and collaborators.
Currently pursuing a Master’s or Ph.D. degree in Computer Science, Electrical Engineering, Physics, Mathematics, or a related discipline.
Basic knowledge of machine learning or deep learning, with course or project experience in at least one of the following: NLP, speech, computer vision, reinforcement learning, or scientific ML.
Proficiency in Python and familiarity with at least one deep learning framework such as PyTorch or TensorFlow.
Experience with data processing and model training.
Strong willingness to learn, good communication skills, and the ability to work in a collaborative team environment.
Ways to stand out from the crowd:
Experience in research or projects related to AI for Science.
Exposure to NVIDIA GPU computing or GPU-accelerated libraries is a plus.
Ability to read, understand, and summarize academic papers and convert them into implementable ideas or experiments.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you are creative and autonomous, we want to hear from you!
NVIDIA is committed to encouraging a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
