Research Scientist Deep Learning Computer Vision - New College Graduate jobs at Nvidia in Taiwan, Taipei

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).

• 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.

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 will be doing:

• Design responsibility for the creation of new products designed around our GPUs, DPUs, and CPUs to cover Graphics, Self-driving platforms, Servers, and Data centers.

• The LDE is responsible for driving every aspect of design execution, initial testing, bringing, and managing the documentation required to release the product to manufacturing and partners. It also serves as the main interface to theSilicon/Thermal/Mechanical/SI/EMCengineers.

• The scope of the LDE role has been carefully tailored to allow these individuals to consistently deliver world-class product quality on a challenging schedule while applying great attention to detail and quality of execution.

• Research the newfeature/circuits/architectureand involve theestablishment/discussionof industry standards, then implement them in the next-generation product/platform development.

What we need to see:

• Completing your bachelor’s or master’s degree in Electrical Engineering, or Computer Science or Computer Engineering

• Knowledgeable in high-speed signal design rules and power design methodologies

• Proficiency in digital/analog circuit simulation and fault diagnosis.

• Exposure or internship experience with design tools (Multisim or equivalent simulation tools, design tools like Cadence, Concept, OrCAD).

• Your work displays your passion for circuit development and strong problem-solving skills.

• Strong communication and interpersonal skills are required.

Ways to stand out from the crowd:

• Prior hardware design experience related to high-speed subsystem design or DC-DC power module design is a huge plus.

• Successful Candidate will possess the following traits: Can-do attitude; Critical thinking; Leadership; Ability to learn complex concepts in a fast-paced environment; Strong desire for creativity; Strategic thinking and good decision-making skills; Good interpersonal 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.).

What you'll be doing:

• Be involved in the definition, architectural design, and development of security firmware for NVIDIA DGX products with an opportunity to craft its future.

• Assist with defining and making sure software development process meeting security/MCU standards.

• Perform security threat modelling for our software.

• Design and/or make recommendations for MCU solutions that apply to the software to satisfy DGX/GPU server security guidelines and requirements.

What we need to see:

• Bachelors or higher in electrical engineering, computer science, or computer engineering (or equivalent experience).

• 3+ years of experience.

• With HW experience in peripherals like I2C, I3C, SPI, USB, etc. will be a plus

• Have firmware design, development, analysis or equivalent experiences.

• Experience in building and implementing MCU software. Familiar with DMTF PLDM, MCTP, SPDM standards is a plus.

• Background in embedded software development in Linux environment. Background with FreeRTOS/Zephyr.

• Background with SBIOS and BMC firmware is a plus.

• Strong programming skills in Ada/Spark, C/C++, algorithms, and data structures.

• Strength being hands-on with development in addition to experience in software security. Deep understanding of computer architecture, operating system fundamentals.

• A strong teammate; self-motivated with positive attitude with a motivation to learn, grow and build.

Ways to stand out from the crowd:

• A successful candidate should be able to work independently and highly self-motivated. He or she should drive issues with little or no supervision.

• A key success for this position is not only a thorough understanding of system architecture, security and software, but also solid grasp of system design, use case requirements and software stacks.

• Excellent communication skills, flexible in task assignments and working under pressures are also indispensable for this candidate.

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