Senior Solutions Architect
NVIDIA • Santa Clara, CA7d • $184,000 - $356,500
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Senior Solutions Architect, AI Hyperscalers
NVIDIA•Santa Clara, CA
•$184,000 - $356,500
About The Position
NVIDIA is seeking an AI/ML Solutions Architect focused on hyperscale customers and Cloud Service Providers. The role leads software customer technical engagement for AI training, inference, and infrastructure deployed at vast scale, working across NVIDIA and customer organizations to ensure successful deployments. The architect partners with customers to build automation and management for robust, large-scale AI infrastructure and to optimize and characterize customer-specific AI models and pipelines. As a key technical member of a focused account team, the architect serves as the main point of contact for NVIDIA products and helps internet giants and cloud providers develop innovative AI/ML software infrastructure. The role involves partnering with engineering teams to secure design wins, resolve challenges, deliver solutions to production, and support them throughout their lifecycle. It also includes advising customers on their environments, constraints, and long-term strategies, translating those insights into product requirements and solutions, and providing feedback to NVIDIA for product improvements. The architect facilitates customer issue resolution with timely, proactive communication; leads workshops, demos, and proof-of-concepts; and guides customers on scalable AI model deployment and inference optimization.
Requirements
- Minimum BS/MS in Computer Science, Electrical Engineering, or equivalent experience.
- 8+ years of engineering experience with a proven track record in AI/ML-focused projects or enterprise-grade solutions.
- Proven understanding of Linux, including solving, optimization, and customization for AI/ML workloads.
- Strong understanding of data science and machine learning infrastructure, including software and hardware.
- Professional-level communication skills, including tailoring messages to different technical audiences and maintaining composure in high-pressure situations.
- Excellent follow-up and interpersonal skills, with a passion for problem-solving.
- Proficiency in Python, with the ability to develop scripts and build custom tools.
- Eagerness to learn and apply new technologies.
Nice To Haves
- Experience with parallel programming or GPU acceleration, such as CUDA.
- Experience with chatbots, RAG pipelines, vector databases, and distributed training or inference workloads.
- Experience or background in HPC environments for AI or ML applications.
- Familiarity with multi-node GPU clusters and performance tuning for large-scale AI workloads.
- Experience developing in cloud or virtualized environments and containerized solutions, with knowledge of Docker and Kubernetes.
- Background with deep learning frameworks such as PyTorch or JAX.
Responsibilities
- Serve as the main NVIDIA product contact for hyperscale and cloud provider customers, enabling innovative AI/ML software infrastructure.
- Work directly with engineering teams to secure design wins, address challenges, bring solutions to production, and support them throughout their lifecycle.
- Understand customer environments, constraints, and long-term strategies, and translate these into product requirements and solutions.
- Help customers enhance the value of NVIDIA technology and provide feedback to NVIDIA for future product improvements.
- Facilitate resolution of customer issues through timely and proactive communication to mitigate risks.
- Lead workshops, demos, and proof-of-concepts to showcase NVIDIA AI/ML capabilities.
- Guide customers on scalable AI model deployment processes and inference optimization.
Benefits
- Equity
- Benefits (unspecified)
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What This Job Offers
Job Type
Full-time
Career Level
Senior
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