Senior Solutions Architect, Media and Broadcasting
$184,000–$287,500 year
RemoteCalifornia, United States or Santa Clara, California, United States
Job Summary
Architect, build, and ship end-to-end solutions for Media use cases spanning multi-agent coordination, long-horizon reasoning, and high-performance RAG pipelines over heterogeneous assets. Act as a hands-on technical advisor during pre- and post-sale stages, working with customer AI researchers to prototype and deploy solutions on NVIDIA platforms. Optimize performance and total cost of ownership using the full NVIDIA AI and media stack, building proofs-of-concept and reusable blueprints to accelerate time-to-value. Partner with engineering and sales teams to translate customer feedback into product insights and scale global expertise through workshops and developer communities. Requires 8+ years in broadcast and telco CDN industries with expertise in media over IP technologies, CUDA, and cloud deployment on AWS.
Required Qualifications
- BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, AI/ML, or a related field (or equivalent experience)
- 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
- 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
Desired Qualifications
- 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)
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