Senior Solutions Architect, Media and Broadcasting

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

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a senior, highly hands-on Solutions Architect to accelerate media broadcasting workflows and AI-powered production automation across ingestion, transcoding, enhancement, and content analysis. You will lead end-to-end, multi-agent, high-performance RAG pipelines on NVIDIA platforms, working closely with customers’ AI researchers and engineers.

You will design proofs-of-concept, reference architectures, and reusable templates to reduce time-to-value, while optimizing performance

Qualifications

• 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.

Responsibilities

• 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.

Skills

CUDA

Python

C++

REST APIs

gRPC

Streaming APIs

AI models familiarity

Shell scripting

Education

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

Tools

Kubernetes

Docker

Helm

kubectl

Git

CI/CD

Shell scripting

Terraform

Ansible

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.

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