Senior System Software Engineer for Cloud – GeForce Now Platform
at Nvidia
USD 224,000-431,200 per year
Used Tools & Technologies
Go IaC GPURequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Software Development @ 8
Docker @ 4
Kubernetes @ 4
Terraform @ 4
Python @ 4
Java @ 4
gRPC @ 4
Helm @ 4
Microservices @ 4
API @ 4
Cloud Computing @ 4
Codex @ 4
Claude Code @ 4
Deep Learning @ 4
Observability @ 4
AI @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
GeForce NOW is NVIDIA’s Cloud Gaming service, streaming games at the highest quality to many device types using sophisticated GPUs and NVIDIA proprietary software. The platform delivers up-to-date games on the latest hardware with a streaming experience comparable to a local PC.
Role overview
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 and craft scalable and efficient cloud services to drive Visual Computing, Deep Learning, and Artificial Intelligence.
Responsibilities
- 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 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.
Requirements
- 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 across teams and time zones.
Ways to stand out
- Experience using modern AI-assisted development tools (e.g., Codex, 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 and iterate quickly while maintaining engineering quality and operational rigor.
Compensation and benefits
- Base salary range (Level 5): 224,000 USD - 356,500 USD.
- Base salary range (Level 6): 272,000 USD - 431,250 USD.
- Eligible for equity and benefits. Base salary will be determined based on location, experience, and pay of employees in similar positions.
Additional information
- Applications accepted at least until May 26, 2026.
- This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes.
- NVIDIA is an equal opportunity employer committed to fostering a diverse work environment.