Senior Architect, AI Solutions Engineering

Nvidia

Actively hiring
Santa Clara, CA Posted 63 days ago $224,000$356,500 / year

At a glance

AI generated

TL;DR

NVIDIA is hiring an AI Solutions Architect at the senior level to join its Infrastructure Planning and Process (IPP) team, focusing on scaling up key AI solutions for internal cloud infrastructure. This role involves managing tools used by thousands of NVIDIA employees globally, identifying gaps in these tools, and resolving issues that are better suited for AI solutions. The architect will collaborate with various teams to define system goals, optimize performance bottlenecks, and introduce technologies enabling parallel systems to enhance development efficiency. Key responsibilities include developing APIs, deploying in hybrid multi-cloud environments, and working on large-scale distributed software systems. Required skills encompass extensive experience in Java, Python, Shell-scripting, REST APIs, SQL/NoSQL databases, Docker containers, Kubernetes, and cloud technologies like OpenStack and Hadoop. The ideal candidate will have a strong background in AI, machine learning, and deep learning, along with excellent collaborative and leadership abilities to guide teams across organizational boundaries effectively.

Skills

Python Java Shell-script Kubernetes Docker SQL NoSQL MySQL Cassandra MongoDB Elasticsearch OpenStack Hadoop Git Puppet Chef JFrog Kafka CI/CD REST_APIs Large_Language_Models RAG Fine-Tuning_LLMs LangChain LangGraphs Cascading_models

What you'll do

  • Identify gaps and issues in AI solutions versus conventional approaches.
  • Divide AI category into 'buy versus build' options by researching market tools.
  • Align with cross-NVIDIA teams to establish overall AI system goals.
  • Drive sub-system leads to achieve improvements with agility and speed.
  • Identify performance bottlenecks and optimize cost efficiency of AI systems.

What we're looking for

  • 12+ years of experience in systems software development, including at least 1 year in AI.
  • Extensive experience architecting and deploying large-scale distributed software systems.
  • Strong programming skills in Java, Python, Shell-script, and knowledge of REST APIs.
  • Experience with hybrid, multi-cloud architecture and edge computing environments.
  • Ability to identify performance bottlenecks and optimize system efficiency.
  • Excellent understanding of cloud technologies including Docker, Kubernetes, and Hadoop.
  • Depth in AI, machine learning, and deep learning algorithms and techniques.

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $216k
This role $290k
$159k most similar roles pay here $378k

This role pays more than 95% of similar roles. Most pay $184,900–$246,150 — the shaded band above. At the midpoint, this role pays about $290k versus about $216k 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 824 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 812 roles with salary data.

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