Senior Solutions Architect, AdTech and Media

Nvidia

Remote

Quick summary

Work type
Remote
Location
San Francisco, CA · New York, NY · Chicago, IL
Salary
$224,000–$356,500 / yr
Posted
50 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $197k
This role $290k
$127k most similar roles pay here $381k

This role pays more than 97% of similar roles. Most pay $158,175–$235,750 — the shaded band above. At the midpoint, this role pays about $290k versus about $197k 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 563 open roles on FindRole.

Listed pay typically runs $168,000–$264,500 across 556 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior Solutions Architect, AdTech and Media

As a senior Solutions Architect at NVIDIA’s AdTech and Media distribution team, you will collaborate with industry leaders to drive the adoption of NVIDIA's accelerated computing platform by conducting proof-of-concept evaluations and providing technical guidance. Your daily tasks include optimizing AI/ML models and data processing pipelines for peak performance on GPU architectures, interacting directly with customer teams to deploy and scale solutions, and translating feedback into actionable insights for product development. You will leverage Python, C++, PyTorch, TensorFlow, Spark, and CUDA-X libraries while deploying ML/DL models at scale on public clouds or in data centers. This role requires a deep understanding of the AdTech and Media distribution landscape, proficiency in MLOps technologies, and excellent communication skills to articulate complex technical concepts effectively.

What you'll do

  • Partner with teams to secure design wins and drive NVIDIA tech adoption.
  • Provide deep technical guidance on best use of NVIDIA hardware/software.
  • Analyze and optimize AI/ML models for peak performance on GPU architectures.
  • Directly interact with customer data scientists, engineers, and developers.
  • Translate customer feedback into actionable insights for product development.

What we're looking for

  • 10+ years experience as an ML/Software Engineer or Solutions Architect with production-level code writing.
  • Deep understanding of AdTech, MarTech, Media distribution landscape including key workflows and platforms.
  • Expertise in ML/DL algorithms and frameworks like PyTorch, TensorFlow, Spark, Dask.
  • Proficiency in deploying ML/DL models at scale on public cloud platforms or on-premise data centers.
  • Hands-on experience with NVIDIA GPU architectures and development tools such as CUDA-X libraries.
  • Excellent communication skills to articulate complex technical concepts to various audiences.
  • Familiarity with MLOps technologies including Docker, Kubernetes, and cluster management software.

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