Senior Solutions Architect, AI Hyperscalers

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 184,000 - 287,500; Full time

Benefits offered by this job

Equity

Comprehensive benefits

Job summary

NVIDIA Gruppe is seeking an AI/ML Solutions Architect to lead technical engagements for AI training and infrastructure deployments. You will be the main point of contact for customers, ensuring successful implementations while collaborating with top engineering teams.

The ideal candidate will have a BS/MS in Computer Science or Electrical Engineering and extensive experience in AI/ML projects. Strong problem-solving skills and proficiency in Python are required. A competitive salary starting from $184,000 with potential equity and comprehensive benefits are offered.

Qualifications

• 8+ years of engineering experience with a proven track record in AI/ML-focused projects.
• Excellent follow-up and interpersonal skills.
• Strong understanding of machine learning infrastructure.

Responsibilities

• Serve as the main point of contact for NVIDIA products.
• Work directly with engineering teams to secure design wins.
• Facilitate resolution of customer issues and provide feedback.

Skills

AI/ML projects experience

Linux optimization for AI/ML

Data science understanding

Professional communication skills

Python proficiency

Problem-solving skills

Education

BS/MS in Computer Science or Electrical Engineering

Tools

Docker

Kubernetes

CUDA

PyTorch

JAX

Job description

AI/ML Solutions Architect – NVIDIA

Lead software customer technical engagement for AI training, inference, and infrastructure deployments at hyperscale customers and cloud service providers. Work across multiple NVIDIA organizations and at the customer to ensure successful and trouble‑free deployments.

Responsibilities

• Serve as the main point of contact for NVIDIA products, enabling internet giants and cloud providers to build 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.
• Be a trusted advisor by understanding the customer’s environment, constraints, and long‑term strategy, and translate these insights into product requirements and innovative solutions.
• Help customers enhance the value of NVIDIA technology and provide feedback 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.

Qualifications

• 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 optimization and customization for AI/ML workloads.
• Strong understanding of data science and machine learning infrastructure—software and hardware.
• Professional‑level communication skills, including tailoring messages for varying technical audiences and maintaining composure in high‑pressure situations.
• Excellent follow‑up and interpersonal skills, with a true passion for problem‑solving.
• Proficient in Python, with the ability to develop scripts and build custom tools. Experience with parallel programming or GPU acceleration (e.g., CUDA) is helpful.
• Shown eagerness to learn and apply new technologies.

Stand Out

• Experience with chatbots, RAG pipelines, vector databases, and distributed training or inference workloads.
• Experience or background in HPC (High Performance Computing) environments for AI or ML applications.
• Familiarity with multi‑node GPU clusters and performance tuning for large‑scale AI workloads.
• Experience developing in cloud and/or virtualized environments, containerized solutions, with knowledge of Docker, Kubernetes.
• Background with common deep learning frameworks such as PyTorch or JAX.

Salary

Base salary: Level 4 – $184,000 to $287,500; Level 5 – $224,000 to $356,500. Eligible for equity and benefits.

Benefits

Equity and benefits.

EEO Statement

NVIDIA is a committed equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.