Nvidia
Cloud Gaming
SeniorSystemSoftwareEngineerforCloud
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior System Software Engineer for Cloud at Nvidia. Skills: Golang, C++, Kubernetes, Cloud Services. Design, build, and scale distributed cloud-based systems. Collaborate cross-functionally”
What You'll Achieve.
Scalable and efficient cloud services; High-performance SaaS/PaaS platform; Overall platform reliability
Industry & Context.
Problem-solving; Analytical skills
What They're Looking For.
Must Have
12+ years delivering SaaS/PaaS focusing on software development and Kubernetes infrastructure automation, Extensive experience with Golang and C++, Developing/scaling backend services and microservices, Experience with container orchestration (Kubernetes, EKS, GKE, AKS), Containers (Docker, containerd), Infrastructure as Code (Terraform, Pulumi, Helm, Kustomize), Deep knowledge of cloud infrastructure, Distributed system design, Kubernetes-native patterns, Developing and scaling RESTful, gRPC, MCP APIs, Backend services, Self-initiative, Interpersonal skills, Adaptability, Experience writing testable, maintainable, performant codebases, Focus on observability, Collaboration skills across teams and time zones
Nice to Have
Python, Java, Experience using the latest AI tools like Codex and Claude Code, Experience analyzing observability data, Experience with cloud-scale analytics, Data-driven optimization of infrastructure and services, Proven ability to operate effectively in ambiguous or fast-changing environments, Breaking down uncertainty into clear technical direction and actionable execution plans, Bias for action/iteration, Able to prototype, validate, learn from feedback, and refine solutions quickly, Maintaining engineering quality and operational rigor
What You'll Do.
and scale distributed cloud-based systems
Collaborate cross-functionally
Optimize existing systems
Enhance platform reliability
Influence technology stack
Influence architecture
Influence development methodology
Drive performance tuning
Drive best practices in Kubernetes
Drive best practices in observability
Drive best practices in infrastructure automation
How You'll Work.
Team & Collaboration
Collaborate cross-functionally; Collaboration skills across teams and time zones
Process & Methodology
Actionable execution plans
Full Job Description
GeForce NOW is Nvidia’s Cloud Gaming service, streaming games at the highest quality to any and every user, regardless of their device type and capabilities - low-end PCs, Macs, TV or mobile devices. Using the most sophisticated GPUs and Nvidia proprietary software, GeForce NOW transforms the gaming experience with always up-to-date games on always the latest hardware, a streaming experience rivaling that of a local PC, and near-instant launch – just click and play! For more details, see[ _http://www.geforce.com/geforce-now_](http://www.geforce.com/geforce-now). We are looking for a Senior System Software Engineer for Cloud who sees the big picture of Cloud Computing and is deeply technical, creative, and hands-on. You will design, build, and deploy highly scalable cloud-based solutions for GeForce NOW. You will require a deep understanding of programming languages, distributed systems, multi-threading, and most importantly, cloud services. Your work will craft scalable and efficient cloud services to drive Visual Computing, Deep Learning, and Artificial Intelligence. **What you’ll be doing:** * Design, build, and scale distributed cloud-based systems for a high-performance SaaS/PaaS platform. * Collaborate cross-functionally to drive new features, optimize existing systems, and enhance overall platform reliability. * Influence the technology stack, architecture, and development methodology. * Drive automation, monitoring, and performance tuning. * Mentor team members and drive best practices in Kubernetes, observability, and infrastructure automation. **What we need to see:** * BS or MS in Computer Science or equivalent experience with 12+ years delivering SaaS/PaaS focusing on software development and Kubernetes infrastructure automation. * Extensive experience with Golang and C++ (Python and Java valued) and developing/scaling backend services and microservices. * Experience with container orchestration (Kubernetes, EKS, GKE, AKS), containers (Docker, containerd)
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