Senior Solutions Architect, Media and Broadcasting

Nvidia

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Employment
Full-time
Posted
85 days ago
Freshness
Confirmed live today

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How this pay compares to similar roles

Similar $199k
$152k $261k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $162,425–$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, Media and Broadcasting

The Senior Solutions Architect, Media and Broadcasting joins the Solutions Architect team to accelerate media broadcasting workflows and workload computations for broadcasters, OTT platforms, and content distribution companies. You will architect, build, and ship end-to-end solutions for media use cases, including multi-agent coordination, high-performance RAG pipelines, and AI-powered production automation. Key responsibilities include acting as a technical advisor, building proofs-of-concept, and optimizing performance across the media supply chain. Required skills include expertise in SDI to IP transitions, SMPTE 2110, SRT, and RIST, alongside proficiency in CUDA, Python, C++, and Kubernetes. You will deploy containerized AI/ML workloads using AWS services like EKS and SageMaker. The role addresses technical challenges in transcoding, quality enhancement, real-time player tracking, and automated highlights for sports and live production.

What does a Solutions Architect earn in California?

Median $235750 from 57 postings across 11 companies.

See salary data

What you'll do

  • Architect and ship end-to-end media solutions involving multi-agent coordination and high-performance RAG pipelines.
  • Serve as a technical advisor to build, prototype, and deploy AI solutions on NVIDIA platforms for customers.
  • Optimize performance and total cost of ownership using the full NVIDIA AI and media stack.
  • Build hands-on proofs-of-concept, reference architectures, and reusable blueprints to accelerate production time-to-value.
  • Post-train open-sourced models to meet specific customer requirements for media and sports workflows.
  • Translate customer feedback into actionable product insights and roadmap requirements for internal engineering teams.
  • Create technical collateral, workshops, and developer community content to scale global expertise.

What we're looking for

  • BS/MS/PhD in Computer Science, Engineering, Math, AI/ML, or a related field (or equivalent experience).
  • 8+ years of experience in the broadcast and/or telco CDN industry.
  • Expertise in engineering transitions from SDI to IP, including SMPTE 2110, SRT, and RIST technologies.
  • Proven knowledge of audio and video formats, codecs, and broadcast control technologies like NMOS and LAWO VSM.
  • Hands-on experience with CUDA, Python, or C++, and deploying containerized, GPU-accelerated, distributed AI/ML workloads.
  • Experience with at least one public cloud, specifically AWS services including EKS, SageMaker, and EC2 GPU instances.
  • Production Kubernetes experience including Docker, Helm, Git, CI/CD, and Ansible or Terraform for IP-based networking.
  • Knowledge of NVIDIA SDKs, timing technologies (PTP), or cloud architecture certifications (preferred).

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