דרושים Solution Architect Networking – Ncp Infra ב-אנבידיה ב-Taiwan, Taipei

What you'll be doing:

• Be a technical specialist on networking products, directly supporting sales account managers to secure design wins.

• Actively establish and nurture technical relationships with engineers, management, and architects at key customer accounts.

• Identify customer architectures and key product requirements in the CSP/OEM AI market to successfully implement NVIDIA's solutions.

• Provide onsite support to do system bring-up,benchmarking/testing/issuereplication, andsolving hardware and software problems.

• Lead the product through its entire lifecycle, from the design-in phase to end-of-life, ensuring flawless execution and customer happiness.

• Develop technical solutions including hardware & software demos and example system designs.

• Offer technical and sales training to direct sales teams and channel partners.

• Establish strong communication channels and collaborative relationships with internal teams to ensure a positive customer experience.

What we need to see:

• BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience).

• 3+ years of work-related experience in the high-tech electronics industry, particularly in networking product Hardware design or technical customer support roles.

• Capable of excelling in a dynamic, constantly evolving environment.

• Remarkable talent for effectively managing multiple initiatives and priorities.

• Expert analytical and problem-solving abilities.

• Strong time-management and organizational skills for coordinating complex projects.

• Excellent written and oral communication skills in English, with the ability to collaborate effectively with both management and engineering teams.

Ways to stand out from the crowd:

• Experience with Networking product Hardware/System architecture development, and the areas of high-speed board design/signalintegrity/qualificationtesting.

• In-depth understanding of networking protocols InfiniBand/Ethernet, RDMA/RoCE, BlueField DPU product, DOCA SW stacks.

• Proficiency in C/C++ and Python programming.

• Knowledge of Embedded Linux Systems, APIs, and similar embedded OS.

• Experience working with ODMs/EMs in industrial, military, and ruggedized computing spaces.

What you'll be doing:

• Be a technical specialist on networking products, directly supporting sales account managers to secure design wins.

• Actively establish and nurture technical relationships with engineers, management, and architects at key customer accounts.

• Identify customer architectures and key product requirements in the CSP/OEM AI market to successfully implement NVIDIA's solutions.

• Provide onsite support to solve hardware and software problems, with a focus on deep learning inference.

• Lead the product through its entire lifecycle, from the design-in phase to end-of-life, ensuring flawless execution and customer happiness.

• Develop technical solutions including hardware & software demos and example system designs.

• Offer technical and sales training to direct sales teams and channel partners.

• Establish strong communication channels and collaborative relationships with internal teams to ensure a positive customer experience.

What we need to see:

• BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience).

• 3+ years of work-related experience in the high-tech electronics industry, particularly in networking product Hardware design or technical customer support roles.

• Capable of excelling in a dynamic, constantly evolving environment.

• Remarkable talent for effectively managing multiple initiatives and priorities.

• Expert analytical and problem-solving abilities.

• Strong time-management and organizational skills for coordinating complex projects.

• Excellent written and oral communication skills in English, with the ability to collaborate effectively with both management and engineering teams.

Ways to stand out from the crowd:

• Experience with Networking product Hardware/System architecture development, and the areas of high-speed board design/signalintegrity/qualificationtesting.

• In-depth understanding of networking protocols InfiniBand/Ethernet, RDMA/RoCE, BlueField DPU product, DOCA SW stack.

• Proficiency in C/C++ and Python programming.

• Knowledge of Embedded Linux Systems, APIs, and similar embedded OS.

• Experience working with ODMs/EMs in industrial, military, and ruggedized computing spaces.

NVIDIA is looking for Senior CloudInfrastructure/DevOps

What you'll be doing:

• Maintain large scale HPC/AI clusters with monitoring, logging and alerting Manage Linux job/workload schedulers and orchestration tools.

• Develop and maintain continuous integration and delivery pipelines

• Develop tooling to automate deployment and management of large-scale infrastructure environments, to automate operational monitoring and alerting, and to enable self-service consumption of resources.

• Deploy monitoring solutions for the servers, network and storage.

• Perform troubleshooting bottom up from bare metal, operating system, software stack and application level.

• Being a technical resource, develop, re-define and document standard methodologies to share with internal teams Support Research & Development activities and engage in POCs/POVs for future improvements.

What we need to see:

• BS/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields.

• At least 8 years of professional experience in networking fundamentals, TCP/IP stack, and data center architecture.

• Knowledge of HPC and AI solution technologies, including CPUs, GPUs, high-speed interconnects, and supporting software.

• Extensive knowledge and hands-on experience with Kubernetes, including container orchestration for AI/ML workloads, resource scheduling, scaling, and integration with HPC environments.

• Experience in managing and installing HPC clusters, including deployment, optimization, and troubleshooting.

• Excellent knowledge of Linux systems (Redhat/CentOS and Ubuntu), including internals, ACLs, OS-level security protections, and common protocols like TCP, DHCP, DNS, etc.

• Experience with multiple storage solutions, including Lustre, GPFS, ZFS, and XFS. Familiarity with newer and emerging storage technologies is a plus.

• Proficiency in Python programming and bash scripting.

• Comfortable with automation and configuration management tools, including Jenkins, Ansible, Puppet/Chef, etc.

Ways to stand out from the crowd:

• Knowledge of CI/CD pipelines for software deployment and automation.

• Knowledge of Kubernetes, container related microservice technologies.

• Experience with GPU-focused hardware/software (DGX, CUDA.)

• Background with RDMA (InfiniBand or RoCE) fabrics.

What you'll be doing:

• Primary responsibilities will include building AI/HPC infrastructure for new and existing customers.

• Support operational and reliability aspects of large-scale AI clusters, focusing on performance at scale, real-time monitoring, logging, and alerting.

• Engage in and improve the whole lifecycle of services—from inception and design through deployment, operation, and refinement.

• Maintain services once they are live by measuring and monitoring availability, latency, and overall system health.

• Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements.

What we need to see:

• BS/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields.

• At least 8 years of professional experience in networking fundamentals, TCP/IP stack, and data center architecture

• Proficiency in configuring, testing, validating, and resolving issues in LAN and InfiniBand networks, especially in medium to large-scale HPC/AI environments.

• Advanced knowledge of EVPN, BGP, OSPF, VXLAN protocols.

• Hands-on experience with network switch/router platforms like Cumulus Linux, SONiC, IOS, JunosOS, and EOS.

• Extensive experience delivering automated network provisioning solutions using tools like Ansible, Salt, and Python.

• Ability to develop CI/CD pipelines for network operations.

• Strong focus on customer needs and satisfaction.

• Self-motivated with leadership skills to work collaboratively with customers and internal teams.

• Strong written, verbal, and listening skills in English are essential.

Ways to stand out from the crowd:

• Familiarity with cloud networks (AWS, GCP, Azure) is a plus.

• Linux or Networking Certifications.

• Experience with High-performance computing architectures. Understanding of how job schedulers(Slurm, PBS) work.

• luster management technologies knowledge (bonus credit for BCM (Base Command Manager).)

• Experience with GPU (Graphics Processing Unit) focused hardware/software.

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.

What you’ll be doing:

• Supporting Higher Education and Research customers drivingresearch/influencing/newbusiness in those customers and academic collaborations.

• Co-work withprofessors/researcherson their GPU computing research works and assisting customer in building innovative solutions.

• We make heavy use of conferencing tools, but some travel is required for this role. You are empowered to find the best way to get your job done and do what it takes to make our customers successful.

For HPC on DPU/GPU

• Develop data center solutions utilizing NVIDIA DPU and MIG technologies

• Design and implement high-performance, secure networking and storage acceleration solutions

• Optimize MIG configurations for optimal GPU resource utilization and isolation

• Support customers in deploying and managing DPU-based infrastructure

• Develop DPU applications and services using DOCA SDK

• Implement DPU and MIG applications in cloud computing, AI inference, and high-performance computing

For Omniverse

• Develop 3D simulation and collaboration solutions using NVIDIA Omniverse platform

• Design and implement real-time rendering, physics simulations, and AI-driven virtual environments

• Integrate various industrial software with Omniverse for cross-application data interoperability

• Support customers in building digital twin and virtual world applications on Omniverse

• Optimize Omniverse performance in various domains such as manufacturing, architecture, and entertainment

• Develop Omniverse extensions and connectors to expand platform capabilities

What we need to see:

• Master or Ph.D. degree in Physics, Mathematics, Computer Science, Electrical or Computer Engineering or equivalent experience

• 5+ years of related experience

• Experience with Python, C/C++, or similar languages

• Proven ability to engage and collaborate across organizations

Ways to stand out from the crowd:

• Experience with CUDA and GPU Computing

• Have lots of experience working with HPC/DPU or OM