Solutions Architect, OEM AI

Nvidia

Remote Actively hiring
Remote · Santa Clara, US Posted 22 days ago $152,000–$241,500 / year
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At a glance

AI generated

TL;DR

Join NVIDIA’s Solutions Architecture and Engineering team as a Solutions Architect specializing in accelerated compute data and security. This role involves designing GPU-accelerated pipelines for processing massive datasets, developing proof-of-concept solutions to address real-world customer issues, and serving as a liaison between engineering teams and OEM partners to drive innovative strategies. You will guide the development of advanced AI workflows like semantic search and Graph Neural Networks for threat detection. Ideal candidates have deep expertise in machine learning, strong coding skills with Python, C/C++, Bash, and Linux, experience with big data frameworks such as Spark and GPU acceleration, and a background in integrating AI workloads within security ecosystems. Direct involvement with NVIDIA’s open-source projects like Morpheus or RAPIDS is highly valued.

Skills

Python C/C++ Bash Linux Spark GPU Docker Kubernetes CI/CD NVIDIA_Morpheus RAPIDS DOCA Splunk Agentic_AI LLM_Deployment Graph_Neural_Networks Semantic_Search RAG

What you'll do

  • Design GPU-accelerated pipelines for processing multi-TB to PB-sized datasets.
  • Develop proof-of-concept solutions for addressing accelerated compute workloads.
  • Serve as a technical lead between NVIDIA and OEM partners on innovative strategies.
  • Guide the development of Agentic AI workflows for threat detection applications.
  • Integrate AI workloads with Splunk or similar data pipeline architectures.
  • Build ingestion/retrieval technologies for secure enterprise projects.
  • Contribute to NVIDIA open-source projects like Morpheus and RAPIDS.

What we're looking for

  • 5+ years of experience in technology roles such as Solutions Architecture, Data Science, or AI Research.
  • Deep expertise in machine learning, deep learning, and statistics applied to unstructured data and security logs.
  • Strong coding skills with Python, C/C++, Bash, and Linux utilities for pipeline development.
  • Hands-on experience with big data and AI frameworks like GPU acceleration, Spark, and distributed computing environments.
  • Direct experience contributing to NVIDIA open-source projects such as Morpheus or RAPIDS.
  • Demonstrated expertise integrating AI workloads with Splunk or similar security protection ecosystems.
  • Background in Agentic AI, LLM deployment, and building ingestion/retrieval technologies.

Market check

Salary context

This $152,000–$241,500 range sits above 46% of similar postings on FindRole.

Peer median band

$163,350–$241,500

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$162,000–$239,337

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

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 801 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 797 roles with salary data.

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