Solutions Architect – OEM AI

Nvidia

Remote

Quick summary

Work type
Remote
Location
Canada · Santa Clara, CA
Salary
$152,000–$241,500 / yr
Posted
47 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $200k
This role $197k
$141k most similar roles pay here $252k

This role pays more than 52% of similar roles. Most pay $163,496–$235,750 — the shaded band above. At the midpoint, this role pays about $197k 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 985 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 971 roles with salary data.

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At a glance

TL;DR · Solutions Architect – OEM AI

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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 and developing proof-of-concept solutions to address real-world customer issues, while also guiding the integration of Agentic AI workflows like semantic search and Graph Neural Networks for threat detection. You will collaborate closely with NVIDIA engineering teams and OEM partners to drive technical innovation and align product strategies. Ideal candidates have a strong background in machine learning, deep expertise in Python, C/C++, Bash, and Linux, as well as experience with big data frameworks such as Spark and GPU acceleration. Additionally, hands-on knowledge of integrating AI workloads with Splunk or similar security ecosystems is highly valued.

Skills

Python C/C++ Bash Linux Spark GPU Docker CI/CD Splunk Morpheus RAPIDS NVIDIA DPU DOCA Agentic AI LLM Graph Neural Networks RAG Semantic Search Prometheus Grafana

What you'll do

  • Design GPU-accelerated pipelines for processing multi-TB to PB-sized datasets.
  • Develop proof-of-concept solutions for addressing real customer issues with accelerated compute workloads.
  • Serve as a technical lead, bridging NVIDIA engineering and OEM partners on innovative strategies.
  • Guide the development of Agentic AI workflows for threat detection applications.
  • Translate complex cybersecurity research into actionable architectures for enterprise customers.

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.

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