Research Scientist Circuits jobs at Nvidia in Taiwan, Taipei

What you'll be doing:

• Designing and implementing cutting-edge techniques in the field of vehicle autonomy.
• Publishing your original research.
• Collaborating with other research team members, a diverse set of internal product teams, and external researchers.
• Transferring technology you've developed to relevant product groups.

What we need to see:

• Pursuing a PhD in Robotics, Computer Science, Computer Engineering or related field.
• Relevant research experience in the field of vehicle / robot autonomy.
• Strong knowledge of theory and practice of vehicle / robot autonomy, or a related area with a strong interest in connecting your work to autonomous vehicles.
• A track record of research excellence with your work published in top conferences and journals such as RSS, ICRA, IJRR, NeurIPS, ICML, CVPR, TAC, etc, and other research artifacts such as software projects.
• Exceptional programming skills in Python; C++ and parallel programming (e.g., CUDA) are a plus.
• Knowledge of common machine learning frameworks such as PyTorch and Tensorflow.
• Strong communication and interpersonal skills are required along with the ability to work in a dynamic, research-focused team.

What you will be doing:

• Research, design, and implement novel AI and deep learning methods

• Publish original research

• Collaborate with other team members and teams

• Speak at conferences and events

• Collaborate with external researchers

What we need to see:

• Ph.D. students in Computer Science/Engineering, Electrical Engineering, etc.

• Excellent knowledge of theory and practice of computer vision, natural language processing, speech/audio processing, and deep learning methods

• Excellent programming skills in some rapid prototyping environment, such as Python, C++, and parallel programming (e.g., CUDA) is a plus.

• Knowledge of common machine learning frameworks, such as PyTorch

• Outstanding research track record

• Very good publication record

• Excellent communication skills

What you'll be doing:

• Developing a high-performance, highly available real-time analytics system for both internal teams and external partners.

• Designing and building various services and agentic applications utilizing diverse AI models and machine learning techniques to address challenges in GPU server manufacturing.

• Continuously improving AI/ML model performance through ongoing finetuning or training.

• Participating in planning and design meetings with stakeholders, offering professional suggestions, and consistently tracking follow-up actions.

What we need to see:

• BS or MS in Computer Science, Artificial Intelligence, or equivalent experience

• 6+ years of demonstrable experience in AI / ML

• Expertise in the full lifecycle of AI model development, from training to real-world production deployment, with a deep understanding of machine learning algorithms.

• Proficient in developing sophisticated agentic applications, especially those using RAG architecture or MCP protocol.

• Comprehensive knowledge and hands-on experience with various ML strategies (Regression, Classification, Clusterization), understanding their principles and optimal use.

• Proven track record in designing, implementing, and maintaining robust, scalable distributed systems for large data and computational demands.

• Strong ability to clearly articulate complex technical concepts to diverse audiences and collaborate effectively.

• Highly proficient in spoken and written English for international professional communication.

• Self-motivated, takes initiative, owns tasks, delivers high-quality results, and meets deadlines consistently.

Ways to stand out from the crowd:

• Proficient in programming languages such as Python, R, or C/C++.

• Experienced with the Linux development environment.

• Familiar with data science libraries and tools, including scikit-learn, SciPy, NumPy, pandas, Matplotlib, PyTorch, natural language processing (NLP), and searching/indexing techniques.

• Skilled in SQL and other data query languages.

• Knowledgeable in various database systems (SQL, NoSQL, embedding databases, etc.).

Advanced circuit design is critically important in the post-Moore’s Law age. Without the ability to scale process to increase performance and reduce power, we must rely more and more on creative architectural and underlying circuit solutions to provide continuing advancement from generation to generation.

What you’ll be doing:

• Explore circuit approaches to optimizing processor computation and interconnect performance and power

• Design and implement circuit approaches in prototype systems

• Collaborate with external researchers and a diverse set of internal product teams across research and product roles

• Transfer technology to product groups

• Publish original research and speak at conferences and events

What we need to see:

• PhD in Electrical Engineering, Computer Science/Engineering, or related field. A strong publication, patent, and research collaboration history is a huge advantage.

• Recent PhD graduates (Research Scientist) or candidates with more years of relevant work or research experience (Senior Research Scientists) can be considered for similar open positions.

• Excellent knowledge and broad background of theory and practice of circuit design

• Depth in one or more areas of high-performance circuit design (PLLs and clocking, SerDes and high-speed signaling, photonics, SRAMs, power delivery/regulation, security circuits, and high-speed logic)

• Track record of research excellence or significant product development

• Excellent communication and collaboration skills

What you will be doing:

• Research, design and implement novel computer vision and deep learning methods.

• Publish original research.

• Collaborate with other team members and teams.

• Mentor interns.

• Speak at conferences and events.

• Transfer technology to product groups.

• Collaborate with external researchers.

What we need to see:

• Must hold a Ph.D. in Computer Science/Engineering, Electrical Engineering,or a related field (or equivalent experience).

• 3+ years of relevant research experience in the field of deep learning and artificial intelligence. NCG also welcome.

• Excellent knowledge of theory and practice of computer vision and deep learning methods.

• A track record of research excellence with your work published in top conferences and journals such as NeurIPS, ICML, ICLR, CVPR, PAMI, etc., and other research artifacts such as software projects.

• Knowledge of common machine learning frameworks, such as PyTorch.

• Excellent programming skills in some rapid prototyping environments such as Python; C++ and parallel programming (e.g., CUDA) is a plus.

• Excellent communication skills.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.

What you will be doing:

• NVIDIA Design Automation research group is seeking research scientists in the areas of AI for chip design and GPU accelerated EDA. Deep learning and GPU advancement are changing the landscape of chip design. In this position, you will conduct original research across broad technical areas including EDA algorithms and software, machine learning, and VLSI chip design methodology. Specific areas of research interest include but are not limited to applications of supervised learning, unsupervised learning, reinforcement learning and GPU acceleration to EDA algorithms.

• Apply deep learning and GPU acceleration to EDA software and ASIC and VLSI design tool flows.

• Research and develop creative and innovative EDA software and algorithms.

• Collaborate with circuits, VLSI, and architecture team members in research and product teams.

• Publish and present your original research, speak at conferences and events

• Collaborate with external researchers and a diverse set of internal product teams.

What we need to see:

• PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field. (open for PhD New College Graduate)

• Strong publication record in leading EDA or ML conferences on DL for EDA or GPU accelerated EDA.

• Strong knowledge in one or more EDA/VLSI fields and deep learning

• Excellent programming skills in two ofPython/PyTorch/C++/CUDA.

• Ability to work independently.

Ways to stand out from the crowd:

• Publishing record on top AI conferences

• High impact open-source tools developer

• Strong communication skills. Creative and dynamic presenter.

NVIDIA Diag Team is now seeking an extraordinaryData Scientistto solve challenges in the GPU server manufacturing process. As a team member, you will be designing a Machine Learning / Deep Learning platform for valuable internal and external products and systems. You will participate in Data Analysis and Reporting system development and communicating with internal and external customers.

What you'll be doing:

• Develop a high-performance and high-availability in-house real-time analytics system with other engineers from different teams

• We will also design and develop various ML pipelines and train and evaluate ML models

• Lead many DL/ML projects related to various NVIDIA products in GPU server areas

• Participate in the development of an automatic data cleanup and validation system owned by your team

• At the same time, you will communicate with external teams to help them in their Data Analytics projects

What we need to see:

• BS or MS degree in one of the areas of Electrical Engineering, Computer Engineering, Computer Science (or equivalent) with 5+yearsof meaningful work experience

• Fully understand parallel computing on multi-threads and multi-processes

• You are expected to be fluent in DL/ML (Statistics, Fraud/Anomaly detection, A/B testing, etc) and Data Analytics

• Flawless understanding of Regression, Classification, Clusterization (transactional and real variables), and embedding methodologies, their pros/cons are very significant

• We expect to see excellent communication skills, ability to document and present the current status and final project deliveries

• Intermediate/upper-intermediateoral and written technical English

• Skills of working in an internationally distributed team

• Self-motivated, engaged, eager for self-education

Ways to stand out from the crowd:

• We appreciate additional programming skills in R, Python, C/C++as well as it'simportant to have basic Linux skills

• Experience in any of sklearn, scipy, numpy, pandas, matplotlib, pytorch, NLP, and searching/indexing

• Deep understanding of DL models development (Transformers, MLPs, Convolution) is valuable