Senior Solutions Architect, AI Compute – NPN
AI summary of the role
NVIDIA seeks a Senior AI Compute Engineer to act as a forward-deployed technical liaison between the NVIDIA Partner Network, internal teams, and enterprise customers.
What you’ll do
- Deploy, manage, and validate AI Compute/HPC infrastructure in Linux-based environments for new and existing customers.
- Serve as domain expert with partners during planning calls through implementation.
- Create handover documentation and perform knowledge transfers to support customers and partners.
- Provide feedback to internal and partner teams by opening bugs, documenting workarounds, and suggesting improvements.
What you’ll bring
- 8+ years providing in-depth support and deployment services for hardware and software products.
- Knowledge and experience with Linux system administration, networking, and cluster management.
- Scripting proficiency in Bash, Python, Ansible, etc.
- Experience with schedulers such as SLURM, LSF, UGE.
Technologies
Linux · Bash · Python · Ansible · SLURM · LSF · UGE · Kubernetes · HPL · NCCL · MLPerf · InfiniBand
About NVIDIA
Designs and manufactures GPUs and system-on-chips powering data centers, AI workloads, gaming, autonomous vehicles, and HPC. The foundational hardware for modern deep learning.
Public
Source and classification
Implementation & delivery · Evidence for this classification:
automation and validation What you will be doing: Primary responsibilities will include deploying, managing, and validating AI Compute/HPC infrastructure in Linux-based environments for new and existing customers. Be the domain expert with partners during planning calls through implementation. Handover-related documentation and perform knowledge transfers required to support customers and partners as they begin rolling out some of the most sophisticated systems in the world! Provide feedback to internal and partners teams such as opening bugs, documenting workarounds, and suggesting improvements. What we need to see: 8+ years providing in-depth support and deployment services; solving problems for hardware and software products. Knowledge and experience with Linux system administration, process and package management, task scheduling, kernel management, boot procedures/fixing,
More from the job description
Want to join a team that's revolutionizing the field of AI with data center scale solutions? We are seeking a highly technical Senior AI compute Engineer to serve as a forward-deployed technical liaison between NVIDIA’s Partner Network (NPN), NVIDIA’s internal teams, and enterprise customers. Academic, Enterprise and government groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI Compute systems in the world! NVIDIA is looking for someone with the ability to work on a dynamic customer-focused team that requires excellent communication skills. This role will be interacting with customers, partners and internal teams to analyze, define, and implement large-scale AI Compute projects. These efforts include a combination of networking, system design and automation and validation What you will be doing: Primary responsibilities will include deploying, managing, and validating AI Compute/HPC infrastructure in Linux-based environments for new and existing customers. Be the domain expert with partners during planning calls through implementation. Handover-related documentation and perform knowledge transfers required to support customers and partners as they begin rolling out some of the most sophisticated systems in the world! Provide feedback to in [... source excerpt omitted ...] ting proficiency (Bash, Python, Ansible, etc.). Experience with schedulers such as SLURM, LSF, UGE, etc. Excellent interpersonal skills and the ability to deliver resolutions for customer issues as they arise. An ability to travel to customer sites within the United States up to 30% of the time. Experience with benchmarking tools such as HPL, NCCL tests, MLPerf as well as Kubernetes experience. Ways to Stand out from the crowd: InfiniBand experience. Experience with GPU (Graphics Processing Unit) focused hardware/software. Experience with MPI (Message Passing Interface). Storage technologies such as Lustre or GPFS. Familiarity with OEM GPU platforms Strong channel sales [... source excerpt omitted ...] e and partner co-selling experience This role embodies the forward-deployed engineer approach: you will spend significant time embedded with customer and partner technical teams. You will move fluidly between field deployments and internal NVIDIA collaboration. Your success is measured by the successful deployment and optimization of AI factories that enable customers and partners to achieve their AI ambitions. You will also provide critical feedback to refine NVIDIA’s reference architectures and partner enablement programs! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD
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