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.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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.Skills Required
- BS or MS in Computer Science or equivalent experience
- 12+ years delivering SaaS/PaaS focusing on software development and Kubernetes infrastructure automation
- Extensive experience with Golang and C++
- Experience with container orchestration such as Kubernetes
- Deep knowledge of cloud infrastructure and distributed system design
- Proven experience in developing and scaling RESTful, gRPC, MCP APIs and backend services
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
