Solutions Architect Data Center Mep jobs at Nvidia in China, Beijing

What You’ll Be Doing:

• Conduct in-depth analysis of customers' latest needs and co-develop accelerated computing solutions with key customers.

• Assist in supporting industry accounts and drivingresearch/influencing/newbusiness in those accounts.

• Deliver technical projects, demos and client support tasks as directed by the Solution Architecture leadership team.

• Understand and analyze customers' workloads and demands for accelerated computing, including but not limited to: LLM training/inference acceleration and optimization, application optimization for Agent AI/RAG, kernel analysis, etc.

• Assist customers in onboarding NVIDIA's software and hardware products and solutions, including but not limited to: CUDA, TensorRT-LLM,NeMoFramework, etc.

• Be an industry thought leader on integrating NVIDIA technology into applications built on Deep Learning, High Performance Data Analytics, Robotics, Signal Processing and other key applications.

• Be an internal champion for Data Analytics, Machine Learning, and Cyber among the NVIDIA technical community.

What We Need To See:

• 3+ years’ experience withresearch/development/applicationof Machine Learning, data analytics, or computer vision work flows.

• Outstanding verbal and written communication skills

• Ability to work independently with minimal day-to-day direction

• Knowledge of industry application hotspots and trends in AI and large models.

• Familiarity with large model-related technology stacks and common inference/training optimization methods.C/C++/Python programming experience

• Desire to be involved in multiple diverse and innovative projects

• Experience using scale-out cloud and/or HPC architectures for parallel programming

• MS or PhD in Engineering, Mathematics, Physics, Computer Science, Data Science, Neuroscience, Experimental Psychology or equivalent experience.

Ways To Stand Out From The Crowd:

• AIGC/LLM/NLP experience

• CUDA optimization experience.

• Experience with Deep Learning frameworks and tools.

• Engineering experience in areas such as model acceleration and kernel optimization.

• Extensive experience designing and deploying large scale HPC and enterprise computing systems.

What you’ll be doing:

• Drive NVIDIA revenue in large auto accounts

• Engage with various NVIDIA technology partners and identify areas of collaboration. Identify complementary technologies needed to build complex solutions using our computing platforms.

• Create go-to-market execution w/ cross functional teams

• Prioritize and report on key business metrics to measure and guide global industry teams.

• Influence and align with sales and customer teams to understand customer requirements and build a scale out plan for target market technologies

• Generating technology trends and market analysis

• Represent and evangelize NVIDIA solutions at key industry events

What we need to see:

• BS/MS (or equivalent experience) with 10+ years of BD/Sales experience in enterprise, especially AUTO industry

• MBA/MS or advanced degree desired

• Fluent English in speaking, reading, and writing

• Experience in AI in autonomous driving is a plus

• Strong leadership skills, self-starter

• Excellent communication abilities and shared attitude

Ways to stand out from the crowd

• Experience in successfully leading to build strategic partnerships and a versatile ISV ecosystem in Autonomous driving

• Experience with deep learning and/or other AI technologies

What you'll be doing:

• Developing and implementing GPU solutions that cater to both graphics and computing workloads using NVIDIA’s innovative technology.

• Engaging directly with customers to understand their requirements and provide flawless solutions, ensuring their success with NVIDIA products.

• Working closely with internal teams to identify and effectively implement GPU solutions that align with our rigorous quality standards.

• Applying your expertise with NVIDIA GPUs, including CUDA, frameworks, and SDKs, to achieve world-class performance and reliability.

• Leading and participating in customer projects, encouraging a collaborative and inclusive environment to achieve shared objectives.

What we need to see:

• A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent program.

• 5+ years of experience.

• Demonstrated background working with NVIDIA GPU technology, encompassing Graphics, CUDA, frameworks, and SDKs.

• Proficient knowledge in handling graphics and computational tasks on NVIDIA GPUs.

• Outstanding communication prowess, adept at expressing thoughts in English verbally and in writing.

• Demonstrated ability to work effectively in a team setting, contributing to project success.

• Experience interacting with customers while comprehending and attending to their requirements.

• Familiarity with infrastructure skills such as Kubernetes (k8s) and a deep understanding of public cloud techniques is a plus.

What you'll be doing:

• Providing Ethernet and routing expertise to customers during project delivery to design, architect and test Ethernet networking solutions.

• Work on multi-functional teams to provide Ethernet network expertise to server infrastructure builds, accelerated computing workloads and GPU enabled AI applications.

• Crafting and evaluating DevOps automation scripts for network operations, crafting network architectures, and developing switch fabric configurations.

• Implementing tasks related to network configuration and validation for data centers.

• Create Methods of Procedure and deployment documents.

• Use software tools to validate and monitor network performance.

What we need to see:

• Bachelor’s degree in engineering, Computer Science, Mathematics or Physics or equivalent experience.

• 6+ years of proficiency in networking fundamentals, Switching, Routing, TCP/IP, and data center architecture.

• Strong Routing hands-on experience including BGP, VxLAN and EVPN (5+ years)

• Engages with clients for network requirement analysis, designs next-gen data center network architectures, and validates functionality through simulations. (5+ years)

• Plays a pivotal role in automation, delivering fully automated network provisioning solutions using Ansible, Salt, and Python. (5+ years)

• Provides ad-hoc knowledge transfers, develops handover materials, and offers deployment support for engagements. (5+ years)

• Background in datacenter engineering, networking architecture, or cloud applications is advantageous.

• Requires understanding of system-level issues, Linux OS, kernel drivers, PCIe devices, and computer hardware architecture.

• Values familiarity with NetDevOps workflows, automation,infrastructure-as-code,digital simulation, continuousintegration/deployment,and automated validation.

• Proactive individual with the ability to work independently, prioritizing tasks to optimize technology and enhance customer experience.

• Strong interpersonal skills for technical presentations, architectural designs, and acting as a trusted advisor to customers. (Extensive experience in consulting or/and support).

• Ability to travel Domestic and international up to 20% of the time.

Ways to stand out from the crowd:

• Combination of interpersonal skills and technical competence.

• Linux certifications.

• Internetwork Expert(CCIE, JNCIE, ACE-E) certification in Data Centers.

• Experience with Cumulus OS.

• Infiniband certifications.

What you'll be doing:

• Providing Ethernet and routing expertise to customers during project delivery to design, architect and test Ethernet networking solutions.

• Work on multi-functional teams to provide Ethernet network expertise to server infrastructure builds, accelerated computing workloads and GPU enabled AI applications.

• Crafting and evaluating DevOps automation scripts for network operations, crafting network architectures, and developing switch fabric configurations.

• Implementing tasks related to network configuration and validation for data centers.

• Create Methods of Procedure and deployment documents.

• Use software tools to validate and monitor network performance.

What we need to see:

• Bachelor’s degree in engineering, Computer Science, Mathematics or Physics or equivalent experience.

• 6+ years of proficiency in networking fundamentals, Switching, Routing, TCP/IP, and data center architecture.

• Strong Routing hands-on experience including BGP, VxLAN and EVPN (5+ years)

• Engages with clients for network requirement analysis, designs next-gen data center network architectures, and validates functionality through simulations. (5+ years)

• Plays a pivotal role in automation, delivering fully automated network provisioning solutions using Ansible, Salt, and Python. (5+ years)

• Provides ad-hoc knowledge transfers, develops handover materials, and offers deployment support for engagements. (5+ years)

• Background in datacenter engineering, networking architecture, or cloud applications is advantageous.

• Requires understanding of system-level issues, Linux OS, kernel drivers, PCIe devices, and computer hardware architecture.

• Values familiarity with NetDevOps workflows, automation,infrastructure-as-code,digital simulation, continuousintegration/deployment,and automated validation.

• Proactive individual with the ability to work independently, prioritizing tasks to optimize technology and enhance customer experience.

• Strong interpersonal skills for technical presentations, architectural designs, and acting as a trusted advisor to customers. (Extensive experience in consulting or/and support).

• Ability to travel Domestic and international up to 20% of the time.

Ways to stand out from the crowd:

• Combination of interpersonal skills and technical competence.

• Linux certifications.

• Internetwork Expert(CCIE, JNCIE, ACE-E) certification in Data Centers.

• Experience with Cumulus OS.

• Infiniband certifications.

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, performancereporting/optimization/logging,andnetwork-routing/advancednetworking (tuning and monitoring).

• Driven focus on customer needs and satisfaction. Self-motivated with excellent leadership skills including working with customers.

• Extensive knowledge of automation, delivering fully automated network provisioning solutions using Ansible, Salt, and Python.

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

Ways to stand out from the crowd:

• Linux or Networking Certifications.

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

• Proven knowledge of Python or Bash. Infrastructure Specialist's delivery experience

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

• Experience with GPU (Graphics Processing Unit) focused hardware/software as well as experience with MPI (Message Passing Interface.)