Distinguished Systems Software Engineer, Graphics Delivery Network Platform - Nvidia : Job Details

Distinguished Systems Software Engineer, Graphics Delivery Network Platform

Nvidia

Job Location : New York,NY, USA

Posted on : 2025-05-11T00:48:54Z

Job Description :

NVIDIA's GDN (Graphics Delivery Network) is a cloud streaming platform that uses the same technology as GeForce NOW to stream 3D content, including games, to almost any device. GDN enables game publishers to stream games built with any 3D engine, offering a seamless one-click play experience. It provides a turnkey solution, allowing publishers to upload their content to a developer portal and then let NVIDIA GDN handle the streaming process. Composed of world-class engineers, the team is responsible for crafting the next-generation infrastructure for game streaming. We are working to use this same infrastructure and streaming technology to build AI-powered, graphical interactive streaming experiences, such as digital humans or real-time video generation in the cloud.

GeForce Now is looking for a proven Distinguished Engineer for GDN (Graphics Delivery Network) to join our AI Streaming Services group. This position combines cloud infrastructure, knowledge of how GPUs work, and the application of AI technologies. You will focus on scaling out graphical rendering capabilities, coupled closely with various AI technologies provided by both internal Nvidia research teams and external partners. This is a hands-on production role, not a research position, involving coding production systems and applying the best solutions for cloud infrastructure, GPU understanding, and real-time video streaming.

Your day-to-day responsibilities will include:
  • Work on tooling to help scale and evolve our current streaming offerings.
  • Define and implement the APIs and tools our customers will rely upon to create these experiences.
  • Design state-of-the-art systems architecture for complex AI-based interactive experiences.
  • Integrate and work closely with multiple Nvidia organizations, including open-source models spanning computer vision, LLMs, Text2Audio/Audio2Text, to develop prototypes into full products.
  • Coding clear solutions and supporting them in production scenarios.
  • Writing effective, clear, and reliable architecture requirements and design specifications.
  • Collaborate closely with various Nvidia teams worldwide.
  • Work with high-profile customers to build and deploy innovative technologies and solutions.
  • What we need to see:
    • B.Sc./M.Sc./Ph.D. in Computer Science, Computer Engineering, or equivalent experience.
    • 18+ years of experience as a Software or Systems Architect, with proven full-stack systems software engineering experience.
    • Strong skills in design, coding, debugging, and problem-solving using high-level languages (Go/Java/RUST) and low-level languages (C/C++/ASM).
    • Hands-on experience with cloud virtualization, networking, and orchestration.
    • Broad knowledge of networking protocols, network topologies, and cloud-based audio/video streaming technologies.
    • Linux development experience.
    • Ability to collaborate and influence teams effectively internationally.
    • Excellent communication, documentation, and presentation skills.
    • Proven ability to translate customer requirements into technical and strategic guidance.
    Ways to stand out from a crowd:
    • Experience developing and deploying deep-learning models such as LLMs, text-to-speech, etc.
    • Background with data center technologies, network topologies, and cloud infrastructure.
    • Experience with containers, Docker, Kubernetes.
    • Good understanding of operating systems and drivers.
    • Experience with virtualization technologies like Proton.

    We offer competitive salaries and benefits. The base salary range is $308,000 - $471,500, depending on location and experience. You will also be eligible for equity and additional benefits. NVIDIA is committed to diversity and equal opportunity employment. We welcome applicants from all backgrounds and do not discriminate based on protected characteristics.

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