Senior System Software Engineer for Cloud – GeForce NOW Platform

NVIDIA; Santa Clara (CA); On-site; USD 224,000 - 356,500; Full time

Job summary

NVIDIA is seeking a Senior System Software Engineer for Cloud to design and deploy scalable cloud solutions for GeForce NOW. This role requires deep technical expertise and over 12 years of experience in SaaS/PaaS software development.

Candidates should be proficient in Golang and C++, with a solid background in Kubernetes and cloud infrastructure. The position involves collaborating cross-functionally and mentoring team members on best practices.

Base salary ranges from $224,000 to $356,500 depending on level and experience, along with equity and benefits.

Qualifications

• 12+ years delivering SaaS/PaaS focusing on software development and Kubernetes infrastructure automation.
• Extensive experience with Golang and C++, knowledge in Python and Java valued.
• Experience with container orchestration (Kubernetes, EKS, GKE, AKS) and containers (Docker, containerd).
• Strong self-initiative and interpersonal skills, adaptability, and ability to write maintainable code.

Responsibilities

• Design, build, and scale distributed cloud-based systems.
• Collaborate cross-functionally to enhance platform reliability.
• Drive automation, monitoring, and performance tuning.
• Mentor team members and drive best practices in Kubernetes.

Skills

Golang

C++

Kubernetes

Docker

RESTful APIs

Cloud infrastructure

Observability

Education

BS or MS in Computer Science or equivalent experience

Tools

Terraform

Pulumi

Helm

Kustomize

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.

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.

Our 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.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.