Senior Solutions Architect, IPP

Nvidia

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Quick summary

Work type: On-site
Location: Santa Clara, CA
Employment: Full-time
Posted: 137 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Similar $198k

$142k $252k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $159,937–$235,750.

Based on 240 similar postings.

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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 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Senior Solutions Architect, IPP

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The Senior Solutions Architect joins the Infrastructure, Planning and Process Cloud Infrastructure Team to support internal software development workflows. This role involves architecting, implementing, and supporting end-to-end CI/CD systems using open-source and proprietary software to facilitate interactive development and QA testing. You will evaluate software solutions to optimize workflows, identify performance bottlenecks, and lead engineering teams to resolve complex issues within distributed systems. Key technical requirements include proficiency in Java, Python, Shell-script, REST APIs, and SQL/NoSQL databases like MySQL, Cassandra, and MongoDB. You must possess experience with Docker, Kubernetes, OpenStack, and Chef/Puppet. The role addresses the technical challenge of managing a private cloud hosting Windows, Linux, and Android operating systems across thousands of servers to improve efficiency for global software engineering teams.

What does a Solutions Architect earn in California?

Median $235750 from 57 postings across 11 companies.

See salary data

Skills

Python Java Shell-script Kubernetes Docker OpenStack CI/CD REST APIs MySQL Cassandra MongoDB Elasticsearch Kafka Hadoop Ceph SwiftStack Git Perforce JFrog Machine Learning Deep Learning Linux Windows Android Virtual Machines LXC

What you'll do

Architect, implement, and support end-to-end CI/CD systems using open-source and proprietary software.
Develop software solutions to optimize critical development workflows across various internal organizations.
Onboard internal development teams to private cloud infrastructure by identifying specific use cases and solutions.
Identify performance bottlenecks to improve the speed and cost efficiency of AI development and testing systems.
Lead software development projects and provide technical direction to a team of engineers.
Troubleshoot and resolve complex problems within software systems.
Craft and implement critical metrics using various analytics methods and dashboards.

What we're looking for

BS in EE/CS or equivalent experience with 12+ years of systems software development.
At least 1 year of experience dedicated to developing or exploring AI.
Experience maintaining cloud infrastructure and highly available production environments.
Strong programming skills in JAVA, Python, and Shell-script with an understanding of distributed systems and REST APIs.
Experience with SQL/NoSQL database systems such as MySQL, Cassandra, MongoDB, or Elasticsearch.
Excellent knowledge and working experience with Docker containers and Virtual Machines.
Good background in Cloud technologies including OpenStack, Kubernetes, Chef/Puppet, Hadoop/Ceph/SwiftStack, LXC, Git, Perforce, JFrog, and Kafka.
Depth in AI, Machine Learning, and Deep Learning algorithms and techniques (preferred).

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