Senior System Software Engineer for Cloud – GeForce NOW Platform

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.

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), and Infrastructure as Code (Terraform, Pulumi, Helm, Kustomize).

Deep knowledge of cloud infrastructure, distributed system design, and Kubernetes-native patterns.

Proven experience in developing and scaling RESTful , gRPC, MCP APIs and backend services.

Strong self-initiative, interpersonal skills, adaptability, and experience writing testable, maintainable, performant codebases with focus on observability and collaboration skills across teams and time zones.

Ways to stand out from the crowd:

Experience using the latest AI tools like Codex and Claude Code.

Experience analyzing observability data to identify bottlenecks and improvement areas.

Experience with cloud-scale analytics and 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.

Strong bias for action/iteration: able to prototype, validate, learn from feedback, and refine solutions quickly while maintaining engineering quality and operational rigor.

With competitive salaries and a generous benefits package, NVIDIA is widely considered one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Due to unprecedented growth, our best-in-class engineering teams are rapidly growing. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people on the planet working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 26, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.