Software Solutions Architect - NVIS

Nvidia

Remote

Quick summary

Work type: Remote
Location: Santa Clara, CA · TX
Salary: $152,000–$241,500 / yr
Posted: 52 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k

This role $197k

$124k most similar roles pay here $254k

This role pays more than 66% of similar roles. Most pay $142,400–$218,293 — the shaded band above. At the midpoint, this role pays about $197k versus about $180k 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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View all roles at Nvidia

At a glance

TL;DR · Software Solutions Architect - NVIS

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As a Software Solution Architect at NVIDIA’s NVIS team in Israel, you will help customers deploy cloud-native software stacks such as NVIDIA AI to enhance their machine learning operations. You will collaborate closely with infrastructure administrators, data scientists, and ML engineers to integrate NVIDIA solutions like Run:ai and Mission Control into existing environments, developing scripts to optimize these processes. Your responsibilities include diagnosing issues in complex cloud setups, using profiling tools to improve deep learning model performance, and working with internal teams to understand customer needs and provide technical guidance. You will also develop new tools and scripts for seamless integration with other data science platforms. Ideal candidates have at least five years of experience in a customer-facing role, a B.Sc in Computer Science or equivalent, proficiency in Linux/Unix, hands-on Kubernetes and Docker expertise, software development skills, and a CKA certification.

Skills

Kubernetes Docker Linux Python CI/CD NVIDIA_Ai NVIDIA_Run:ai NVIDIA_Mission_Control AWS GCP Azure Terraform PostgreSQL MongoDB Git Jenkins Prometheus Grafana

What you'll do

Helping customers deploy NVIDIA AI cloud-native software stacks.
Collaborating with teams to integrate NVIDIA tools into existing environments.
Diagnosing and resolving issues in complex cloud-native setups.
Developing scripts for seamless integration of NVIDIA software.
Working with internal teams to provide technical insights on business requirements.

What we're looking for

At least 5 years of customer-facing technical experience.
B.Sc in Computer Science or equivalent practical experience.
Proficiency in Linux/Unix operating systems and Kubernetes administration.
Hands-on experience with Docker and containerization technologies.
Demonstrated software development skills and AI/ML tool proficiency.
Certification as a Kubernetes Administrator (CKA).
Ability to present technical content and solutions to developer audiences.

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