דרושים מדען נתונים ב-אנבידיה ב-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.

As a Data Center Infrastructure Specialist, you will be interacting with customers, partners, and internal teams, to analyze, define and implement large scale Datacenter projects. The scope of these efforts includes a combination of Datacenter Infrastructure design and cluster deployment planning.

What you will be doing:

• Design and implement flawless data center infrastructure solutions to meet the needs of our customers.

• Collaborate with cross-functional teams to ensure the successful deployment of data center infrastructure.

• Datacenter Planning: Floor Plan, Rack Elevation, Simulation

• Cable deployment planning including - ensuring requirements are accurate such as number and type of connections, port assignments, and timing of activity while following standard methodologies, Point-to-Point Design.

• Deploy and Support NVIDIA products.

• Validating and updating all related work instructions for Datacenter activities.

• Responsible for providing input for Data Center Standards updates as required; balancing multiple activities and priorities; participate in projects calls.

• Documenting processes and keeping event logs

What we need to see:

• 5+ years of proven experience as a data center infrastructure engineer, field service engineer or similar with background in designing and implementing data center infrastructures.

• Bachelor's degree or equivalent experience in a relevant field.

• In-depth knowledge of data center environments, servers, and network equipment.

• Extensive experience in installing, monitoring, and maintaining data center equipment.

• Solid understanding of networking, storage, and virtualization technologies.

• Excellent problem-solving skills and attention to detail.

• Ability to work as part of a team, in a fast and highly dynamic environment.

• Exceptional communication and interpersonal skills.

• Proficiency in documenting processes.

• Willingness to travel (25%).

Ways to stand out from the crowd:

• Network certification such as: Cisco Certified Network Associate (CCNA), Juniper Networks Certified Associate - Junos (JNCIA-Junos)

• Knowledge with InfiniBand Technology

• Collaboration with R&D and network engineering teams.

• Outstanding interpersonal skill.

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.).

• Deploy and support NVIDIA products

• Guide and supervise 3rd party contractors in field or remote settings

• Ensure accurate cable installations, including the number and type of connections, port assignments, and timing of activity while following standard methodologies

• Print labels for re-labeling cables based on a Point to Point (P2P) scheme

• Conduct quality testing of all cables used

• Resolve issues involving cabling components

• Validate and update all related work instructions for cabling activities

• Provide input on Data Center Standards updates as needed, while balancing multiple tasks and priorities and actively participating in project calls

• Ensure all relevant physical assets are recorded in Asset Manager and that all inventory-related fields are accurately recorded

• Inspect all received hardware shipments and receiving duties

• Document processes and maintain event logs

• Install various network systems at customer sites

• 2-3 years of experience as a data center technician, field service engineer, or similar

• Bachelor's degree or equivalent experience

• In-depth knowledge of data center environments, servers, and network equipment

• Experience with liquid-cooled systems

• Extensive experience in installing, monitoring, and maintaining data center equipment

• Outstanding ability to work as part of a team, provide IT support, and resolve errors

• Proficiency in detailing network processes

• Willingness to travel (~30-35%)

• BICSI, CNCDP

• FOA Data center - CFOSDC - certified fabrics optics specialist, Datacenter

• CNCI – certified network cable installer

• Network fix, including looking at port counters, errors, etc.

• Collaboration with R&D and network engineering teams

• Positive interaction capabilities

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

NVIDIA Diag Team is now seeking an extraordinaryData Engineerto build up a data platform enabling advanced and intelligent log data analysis to assist engineers in solving GPU server manufacturing challenges. We aim at delivering a platform to streamline the server manufacturing process. As a data engineer, you will partner with Data Scientists, engineers, and key stakeholders to design and implement the data architecture turning data into insights for opportunities of optimization and efficiency in the server manufacturing process.

What you’ll be doing:

• Build up robust, flexible, idempotent ELT data pipelines

• Ensure the data integrity and keep queries performant per database’s indexing, partitioning, clustering, caching characteristics

• Adopt best practices to secure data access internally and externally and identify potential security leaks with proposed solutions

• Maintain and operate performant reporting system and interactive analytical dashboard given different business requirement

• Solve data-related bugs in a timely manner

• Enable the architecture and the use of off-the-shelf technologies for rolling update with minimal downtime

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

• Skillful in SQL and relational databases systems

• Demonstrable production experience in custom ELT design, implementation, maintenance, and performance tuning

• Familiar with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, and etc)

• Extensive experience in Data Modeling for different database systems

• Solid hand-on experience in tuning database systems read/write performances

• Familiar with NoSQL technologies and Linux development environment

• 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:

• Experience with interactive analytical BI tools

• Background with search/index systems

• We appreciate additional programming skills in R, Java, or C/C++

• Experience with notebook-based Data Science workflow

• Background with anomaly/outlier detection

As a Solutions Architect, you will be the first line of technical expertise between NVIDIA and our customers. Your duties will vary from working on proof-of-concept demonstrations, to driving relationships with key executives and managers to evangelize accelerated computing. Dynamically engaging with developers, scientific researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience with a range of partners and concerns.

What you’ll be doing:

• Develop HPC solutions using NVIDIA SDKs like Modulus and CUDA for physics simulations.

• Design GPU-accelerated workflows for complex simulations in optics, electromagnetics, and fluid dynamics.

• Deploy AI models for physics modeling and simulations.

• Support customers in leveraging NVIDIA platforms for physics modeling.

• Enhance NVIDIA's GPU capabilities in scientific computing applications.

• Apply NVIDIA Inference Microservices (NIM) to various domains, including language processing, computer vision, and scientific simulations.

What we need to see:

• Master's or Ph.D. in Electrical Engineering, Physics, Applied Mathematics, or related field.

• 5+ years in HPC, focusing on physics modeling and simulations.

• Sufficient experience in physics and GPU-accelerated frameworks.

• Proficient in Python; C++ and CUDA experience preferred.

• Expertise in numerical methods and computational physics.

Ways to stand out from the crowd:

• Experience with NVIDIA Modulus for physics-informed machine learning.

• Proficiency in NVIDIA tools for AI model deployment.

• Skill in optimizing physics simulations on NVIDIA GPUs.

• Background in simulation software for engineering applications.

• Ability to solve complex challenges in GPU-accelerated physics simulations.

• Familiarity with NIM for deploying and managing AI models.