Solutions Architect, Supercomputing

Nvidia

Remote

Quick summary

Work type: Remote
Location: Santa Clara, CA
Salary: $152,000–$241,500 / yr
Posted: 47 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $204k

This role $197k

$139k most similar roles pay here $270k

This role pays less than 54% of similar roles. Most pay $172,500–$235,750 — the shaded band above. At the midpoint, this role pays about $197k versus about $204k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 563 open roles on FindRole.

Listed pay typically runs $168,000–$264,500 across 556 roles with salary data.

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At a glance

TL;DR · Solutions Architect, Supercomputing

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Join our dynamic team as a Solutions Architect at NVIDIA, where you will collaborate closely with customers, partners, and internal teams to support applications leveraging cutting-edge GPU and networking technology. Your day-to-day responsibilities include understanding customer needs, developing high-value solutions, documenting technical knowledge through various mediums like white papers and blogs, and leading industry discussions on integrating NVIDIA tech into AI workloads and HPC architectures. You will also partner with key customers and solution providers to drive adoption of our computing platform. This role demands expertise in data science, software development, and modern application deployment practices such as Docker and Kubernetes, along with a strong background in GPGPU programming and CUDA optimization. Ideal candidates possess experience in generative AI frameworks and have a proven track record of thought leadership in technical areas like deep learning or machine learning research.

Skills

NVIDIA CUDA Kubernetes Docker Slurm Python GPGPU AI Machine_Learning R_Development Agentic_AI Foundation_Models HPC Generative_AI Networking_Software_Development CI/CD Prometheus Grafana

What you'll do

Develop high-value solutions by understanding customer goals and technical needs.
Document knowledge through white papers, blogs, and targeted samples to educate others.
Lead integration of NVIDIA technology into advanced AI workloads and HPC architectures.
Partner with lighthouse customers and solution partners to target computing platforms.
Collaborate with internal developers and researchers on diverse projects and initiatives.

What we're looking for

5+ years of data science or software development experience with GPUs.
Bachelor’s degree in Engineering, Mathematics, Physics, Computer Science or equivalent.
Experience with modern application deployment practices like Slurm, Docker/Containers, Kubernetes.
Strong background in Generative AI and Agentic AI architecture and frameworks.
Proven ability to communicate effectively and educate customers on technical topics.
Experience supporting customers/partners in technical engagements and complex projects.