Senior Solutions Architect, Media and Broadcasting

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 184,000 - 357,000; Full time

Job summary

NVIDIA is seeking a senior, hands-on Solutions Architect to accelerate media broadcasting workflows on NVIDIA platforms. You will design end-to-end solutions for complex media use cases, guide customers through pre- and post-sales stages, and optimize performance and cost with our AI and media stack.

The role requires 8+ years in broadcast/telco CDN, expertise in IP transitions, SMPTE 2110, and AI-enabled media production.

Qualifications

• BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, AI/ML, or related field (or equivalent) and 8+ years in broadcast/telco CDN industry.
• Expertise in transitions from SDI to IP, media over IP technologies (SMPTE 2110, SRT, RIST).
• Understanding of traditional and new broadcast control technologies (NMOS, LAWO VSM).
• Proven knowledge of audio and video formats and codecs.
• Hands-on experience with CUDA, Python, or C++.
• Familiarity with AI models for audio/video enhancement and deploying containerized AI/ML workloads.
• Experience with at least one public cloud (AWS, Azure, GCP).
• Solid understanding of IP networking, multicast, and Kubernetes deployments.

Responsibilities

• Architect, build, and ship end-to-end solutions for Media use cases using multi-agent coordination, planning, and RAG pipelines over diverse media assets.
• Serve as hands-on technical advisor during pre- and post-sale, collaborating with customer teams to deploy solutions on NVIDIA platforms.
• Optimize performance and cost with NVIDIA AI/media stack; develop proofs-of-concept, reference architectures, and production templates.
• Partner with engineering, product, and sales to translate customer feedback into roadmap insights and scalable collateral.

Skills

CUDA

Python

C++

Kubernetes

Docker

REST APIs

Cloud (AWS)

SMPTE 2110

Ansible/Terraform

GIT

Education

BS/MS/PhD in CS/EE/Physics/Math or related field

Tools

AWS SageMaker

Docker

CUDA toolkit

Terraform

Ansible

Git

Job description

We at the NVIDIA’s Solutions Architect team are looking for a senior, highly hands‑on Solutions Architect! The role involves accelerating Media Broadcasting workflows and workloads computations for broadcasters, OTT platforms, content distribution companies, and live production ISVs. Workloads span the full media supply chain: ingestion, transcoding, quality enhancement, content analysis, and AI-powered production automation. We also engage with Sports data companies, broadcast rights holders, and sports technology ISVs by using AI for real-time player tracking, event detection, automated highlights, content localisation, and LLM‑based sports commentary generation!

What you’ll be doing:

• Architect, build, and ship end-to-end solutions for Media use cases—spanning multi-agent coordination, long-horizon reasoning, planning, and tool use—along with high-performance RAG pipelines over heterogeneous media assets (text, code, images, audio, video) to tackle real production challenges such as content generation, localization, metadata enrichment, personalization, recommendation, and ad operations.
• Act as a hands‑on technical advisor and main domain expert during the pre- and post-sale stages. Work closely with customer AI researchers, engineers, and developers to build, prototype, and deploy solutions on NVIDIA platforms.
• Optimize performance and total cost of ownership using the full NVIDIA AI and media stack—and build hands‑on proofs‑of‑concept, reference architectures, and reusable blueprints that serve as production templates and accelerate time-to-value. Post‑training open sourced models to meet the requirements.
• Partner with NVIDIA engineering, product, and sales teams to secure build wins, translate customer feedback into actionable product and roadmap insights, and scale global expertise through technical collateral, workshops, and developer communities.

What we need to see:

• BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, AI/ML, or a related field (or equivalent experience) and 8+ years in broadcast and/or telco CDN industry.
• Expertise in engineering of transitions from SDI to IP, media over IP technologies such as SMPTE 2110, SRT, and RIST.
• Understanding of traditional and new broadcast control technologies (such as NMOS, LAWO VSM).
• Proven knowledge of audio and video formats and codecs
• Hands‑on experience with CUDA, Python, or C++.
• Familiarity working with AI models for audio and video enhancement. Hands‑on experience deploying containerized AI/ML, GPU-accelerated, distributed workloads.
• Experience with at least one public cloud; AWS experience with EKS, SageMaker, EC2 GPU instances, lambda, VPC, IAM, S3, load balancing and proxies (NLB), cloudwatch logs, streaming data (Kinesis).
• Solid understanding of Ansible and/or Terraform and IP based networking, specifically multicast capabilities and its application in media and telco networks.
• Production Kubernetes experience, including deployments, services, ingress, storage, networking, RBAC, secrets, resource management, autoscaling, and troubleshooting. knowledge of Docker, Helm, kubectl, Git, CI/CD, and shell scripting.
• Exposure to REST APIs, gRPC, Streaming APIs.

Ways to stand out from the crowd:

• Working experience in timing technologies (PTP).
• Knowledge of NVIDIA SDKs and accelerated computing for vision (Rivermax, Deepstream, NVENC, NVDEC).
• Expertise in deployment of AI models or tools within media and video streaming workflows in production.
• Cloud certificates such as AWS Certified Solutions Architect – Associate or higher or Microsoft Certified: Azure Solutions Architect Expert or Google Cloud Professional Cloud Architect
• Certified Kubernetes Application Developer (CKAD)

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. This role presents an opportunity to have a wide impact at NVIDIA by improving the factory planning function. Are you creative, hard‑working, dedicated, and determined? Do you love a challenge? If so, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 7, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.