# Senior Solutions Architect, AI Hyperscalers

**Company**: NVIDIA
**Location**: Santa Clara
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $95,000–$150,000
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Solutions-Architect--AI-Hyperscalers_JR2017895?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_dbc5f152-59f

## Description

We're searching for an AI/ML Solutions Architect focusing on Hyperscale customers and Cloud Service Providers. Your primary responsibilities will be to lead software customer technical engagement for AI training, inference and infrastructure being deployed at vast scale.

As a key technical member of a focused account team, you will serve as the main point of contact for NVIDIA products, enabling internet giants and cloud providers to have an innovative AI/ML software infrastructure.

Work directly with best-in-class engineering teams to secure design wins, address challenges, bring solutions to production, and support them throughout their lifecycle.

Become a trusted advisor to your customer by understanding their environment, constraints, and long-term strategy. Translate these insights into product requirements and innovative solutions.

Help your customer enhance the value of NVIDIA technology, and provide feedback to NVIDIA for future product improvements.

Facilitate the resolution of customer issues, offering timely and proactive communications to mitigate risks.

Lead workshops, demos, and proof-of-concepts to showcase NVIDIA's AI/ML capabilities.

Guide customers on standard processes for scalable AI model deployment and inference optimization.

## Skills

### Required
- Linux
- Python
- GPU acceleration
- AI/ML infrastructure
- Data science
- Machine learning

### Nice to have
- Chatbots
- RAG pipelines
- Vector databases
- Distributed training or inference workloads
- HPC environments
- Multi-node GPU clusters
- Performance tuning for large-scale AI workloads
- Cloud and/or virtualized environments
- Containerized solutions
- Docker
- Kubernetes
- PyTorch
- JAX

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Solutions-Architect--AI-Hyperscalers_JR2017895?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)