Senior Solutions Architect, Media and Broadcasting

We are seeking a senior, highly hands-on Solutions Architect to accelerate Media Broadcasting workflows and workloads for broadcasters, OTT platforms, content distribution companies, and live production ISVs. This role also engages with Sports data companies, broadcast rights holders, and sports technology ISVs to leverage AI for real-time player tracking, event detection, automated highlights, content localization, and LLM-based sports commentary generation.

About the role

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.

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.

Responsibilities

• Architect, build, and ship end-to-end solutions for Media use cases, including multi-agent coordination, long-horizon reasoning, planning, and tool use.
• Develop high-performance RAG pipelines over heterogeneous media assets (text, code, images, audio, video).
• Act as a hands-on technical advisor and domain expert during pre- and post-sale stages.
• Optimize performance and total cost of ownership using the NVIDIA AI and media stack.
• Build proofs-of-concept, reference architectures, and reusable blueprints for production use.
• Post-train open-source models to meet specific requirements.
• Collaborate with NVIDIA engineering, product, and sales teams to secure build wins and translate customer feedback into product roadmap insights.
• Scale global expertise through technical collateral, workshops, and developer communities.

Requirements

• BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, 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, and media over IP technologies such as SMPTE 2110, SRT, and RIST.
• Understanding of traditional and new broadcast control technologies (e.g., 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 and video enhancement.
• Hands-on experience deploying containerized AI/ML, GPU-accelerated, distributed workloads.
• Experience with at least one public cloud; AWS experience preferred (EKS, SageMaker, EC2 GPU instances, Lambda, VPC, IAM, S3, load balancing, proxies, CloudWatch logs, streaming data with Kinesis).
• Solid understanding of Ansible and/or Terraform.
• Expertise in 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, and Streaming APIs.

Skills

• 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, Microsoft Certified: Azure Solutions Architect Expert, or Google Cloud Professional Cloud Architect.
• Certified Kubernetes Application Developer (CKAD).

Pay

Base salary range: $184,000 USD - $287,500 USD for Level 4, and $224,000 USD - $356,500 USD for Level 5. Eligible for equity and benefits.

Benefits

Competitive salaries and a generous benefits package. NVIDIA is widely considered one of the technology world’s most desirable employers, with a forward-thinking and hardworking team.