Senior Solutions Architect, IPP

Nvidia

Remote

Quick summary

Work type: Remote
Location: Santa Clara, CA
Salary: $224,000–$356,500 / yr
Posted: 4 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $200k

This role $290k

$127k most similar roles pay here $381k

This role pays more than 98% of similar roles. Most pay $164,209–$235,750 — the shaded band above. At the midpoint, this role pays about $290k versus about $200k 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 980 open roles on FindRole.

Listed pay typically runs $168,000–$270,250 across 966 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior Solutions Architect, IPP

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NVIDIA seeks a Senior Solutions Architect for its Cloud Infrastructure Team within IPP to work on sophisticated cloud services used by thousands of NVIDIA engineers globally. This role involves evaluating and developing software solutions to optimize critical workflows across various internal teams, architecting end-to-end CI/CD systems using open-source and proprietary tools, and identifying performance bottlenecks to enhance AI development efficiency. The ideal candidate will have over 12 years of experience in systems software development with a focus on AI, strong programming skills in Java, Python, and shell-script, and expertise in cloud technologies like Docker, Kubernetes, and OpenStack. They should also possess excellent collaborative and interpersonal skills to guide teams effectively across multinational boundaries, ensuring alignment and productivity in a dynamic environment.

Skills

Python Java Shell-script Kubernetes Docker MySQL Cassandra MongoDB Elasticsearch Git Puppet Hadoop CI/CD REST APIs OpenStack LXC JFrog Kafka AWS Azure GCP Prometheus Grafana

What you'll do

Evaluate and develop software solutions to optimize critical workflows for NVIDIA’s internal teams.
Architect and implement end-to-end CI/CD systems using open-source and proprietary tools.
Onboard internal development teams to private cloud infrastructure, identifying use cases and available solutions.
Identify performance bottlenecks in AI development and testing systems and optimize them for efficiency.
Lead software development projects and guide a team of engineers to deliver efficient solutions.

What we're looking for

12+ years of systems software development experience, including at least 1 year dedicated to AI.
Strong programming skills in Java, Python, Shell-script, and understanding of distributed systems and REST APIs.
Experience maintaining cloud infrastructure and highly available production environments.
Expertise with SQL/NoSQL databases like MySQL, Cassandra, MongoDB, or Elasticsearch.
Deep knowledge of Cloud technologies including Docker, Kubernetes, Chef/Puppet, Hadoop/Ceph/SwiftStack, Git, Perforce, JFrog, Kafka.
Ability to work effectively across organizational boundaries in a multi-national environment.

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