Senior Solutions Architect, Media and Broadcasting

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🔥 0 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Architect, build, and ship end-to-end AI and media solutions for broadcasting and sports use cases • Build multi-agent systems, long-horizon reasoning, planning, tool-use solutions, and high-performance RAG pipelines over heterogeneous media assets • Act as a hands-on technical advisor and domain expert during pre-sale and post-sale stages • Collaborate with customer AI researchers, engineers, and developers to prototype and deploy solutions on NVIDIA platforms • Optimize performance and total cost of ownership using NVIDIA’s AI and media stack • Build proofs of concept, reference architectures, and reusable production blueprints • Post-train open-source models to meet requirements • Partner with NVIDIA engineering, product, and sales teams to secure build wins • Translate customer feedback into product and 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 related field, or equivalent experience • 8+ years of experience in the broadcast and/or telco CDN industry • Expertise transitioning from SDI to IP • Expertise with media-over-IP technologies including SMPTE 2110, SRT, and RIST • Understanding of broadcast control technologies such as NMOS and LAWO VSM • 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 with EKS, SageMaker, EC2 GPU instances, Lambda, VPC, IAM, S3, NLB/load balancing and proxies, CloudWatch Logs, and Kinesis • Understanding of Ansible and/or Terraform • Understanding of IP-based networking, including multicast capabilities and applications 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 • Cloud certifications 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) • Working experience with timing technologies such as PTP • Knowledge of NVIDIA SDKs and accelerated computing for vision, including Rivermax, DeepStream, NVENC, and NVDEC • Expertise deploying AI models or tools within production media and video-streaming workflows

🏖️ Benefits

• Competitive salaries • Generous benefits package • Equity • Benefits