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🌟 加入 NVIDIA ，共创未来！🚀

我们正在寻找对 NVIS 领域充满热情的人才。如果你对网络、存储、DevOps 或 AI/ML 感兴趣，快来投递简历吧！

📧 发送英文简历至 [ sh-recruitment@nvidia.com ] ，并注明感兴趣的方向。

#NVIDIA 职等你来 💼✨

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准备好加入我们了吗？

[ Senior Solutions Architect, Industry Customer Success and Partnership – NVIS *3 ]

What you'll be doing:

• Engage with NVIDIA Cloud Partners (NCP) to drive initiatives, shape new business opportunities, and cultivate collaborations in the field of Artificial Intelligence (AI), contributing to the advancement of our cloud solutions.

• Identify and pursue new business opportunities for NVIDIA products and technology solutions in datacenters and artificial intelligence applications, closely collaborating with Engineering, Product Management, and Sales teams.

• Serve as a technical specialist for GPU and networking products, collaborating closely with sales account managers to secure design wins and actively engaging with customer engineers, management, and architects at key accounts.

What we need to see:

• BS/MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields with at least 8 years work or research experience in networking fundamentals, TCP/IP stack, and data center architecture.

• Ideal candidate possesses 8+ years of Solution Architect or similar Sales Engineering experience, demonstrating motivation and skills to drive the technical pre-sales process.

• Deep expertise in datacenter engineering, GPU, networking, including a solid understanding of network topologies, server and storage architecture.

• Proficiency in system-level aspects, encompassing Operating Systems, Linux kernel drivers, GPUs, NICs, and hardware architecture.

• Demonstrated expertise in cloud orchestration software and job schedulers, including platforms like Kubernetes, Docker Swarm, and HPC-specific schedulers such as Slurm. Strong written, verbal, and listening skills in English are critical.

Location: Beijing,Shanghai,Shenzhen

[ Senior Solutions Architect, Cloud Infrastructure and DevOps – NVIS *3 ]

What you'll be doing:

• Design, implement and 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, Data Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields with at least 8 years work or research experience in networking fundamentals, TCP/IP stack, and data center architecture.

• Knowledge of HPC and AI solution technologies from CPU’s and GPU’s to high speed interconnects and supporting software.

• Direct design, implementation and management experience with cloud computing platforms (e.g. AWS, Azure, Google Cloud).

• Experience with job scheduling workloads and orchestration technologies such as Slurm, Kubernetes and Singularity.

• Excellent knowledge of Windows and Linux (Redhat/CentOS and Ubuntu) networking (sockets, firewalld, iptables, wireshark, etc.) and internals, ACLs and OS level security protection and common protocols e.g. TCP, DHCP, DNS, etc.

• Experience with multiple storage solutions such as Lustre, GPFS, zfs and xfs. Familiarity with newer and emerging storage technologies.

• Python programming and bash scripting experience.

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

• Deep knowledge of Networking Protocols like InfiniBand, Ethernet Deep understanding and experience with virtual systems (for example VMware, Hyper-V, KVM, or Citrix).

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

Location: Beijing,Shanghai,Shenzhen

[ Senior Solutions Architect, NIC and DPU – NVIS *3 ]

What you'll be doing:

• Support GPU, NIC, and networking applications on the converged GPU/DPU/NIC and x86 platforms work on customer production activities, introducing and integrating NVIDIA networking products to new and existing customers.

• Gain customers’ trust and understand their needs.

• Work closely with support cross-functional teams, optimize customer environment, and maintain resiliency.

• Help with customer production requirements alongside engineering and product teams.

• Address sophisticated and obvious customer issues.

What we need to see:

• BS/MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields with at least 8 years work or research experience in networking fundamentals, TCP/IP stack, and data center architecture.

• 8+ years of experience with configuring, testing, validating, and issue resolution of LAN and InfiniBand networking, including use of validation tools for InfiniBand health and performance including medium to large scale HPC/AI network environments.

• Knowledge and experience with Linux system administration/dev ops, process management, package management, task scheduling, kernel management, boot procedures, solving, performance reporting/optimization/logging, and network-routing/advanced networking (tuning and monitoring).

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

Location: Beijing, Shanghai, Shenzhen

[ Senior Solutions Architect, Infiniband and Networking Ethernet – NVIS *6 ]

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, Data Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields with at least 8 years work or research experience in networking fundamentals, TCP/IP stack, and data center architecture.

• 8+ years of experience with configuring, testing, validating, and issue resolution of LAN and InfiniBand networking, including use of validation tools for InfiniBand health and performance including medium to large scale HPC/AI network environments.

• Knowledge and experience with Linux system administration/dev ops, process management, package management, task scheduling, kernel management, boot procedures, troubleshooting, performance reporting/optimization/logging, and network-routing/advanced networking (tuning and monitoring). • Strong written, verbal, and listening skills in English are critical.

Location: Beijing, Shanghai, Shenzhen

[ Senior Solution Architect, HPC and AI – NVIS *3 ]

What You’ll Be Doing:

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

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

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

• Your primary focus would be on understanding the AI workload and how it interacts with other parts of the system like networking, storage, deep learning frameworks, data cleaning tools, etc.

• Help maintain services once they are live by measuring and monitoring progress of AI jobs and helping engineering design solutions for more robust training at scale.

• 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, Data Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields with at least 8 years work or research experience with Python/ C++ / other software development.

• Track record of medium to large scale AI training and understanding of key libraries used for NLP/LLM/VLA training (NeMo Framework, DeepSpeed etc.)

• You are excited to work with multiple levels and teams across organizations (Engineering, Product, Sales and Marketing team) Capable of working in a constantly evolving environment without losing focus. Ability to multitask in a fast-paced environment. Strong written, verbal, and listening skills in English are critical.

Location: Beijing, Shanghai, Shenzhen

[ How to apply?] Send your resume to [ sh-recruitment@nvidia.com ] with email subject: NVIS + Position Name

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