Senior System Software Engineer – GeForce NOW Cloud

NVIDIA•Santa Clara, CA

6d•$224,000 - $431,250

About The Position

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, 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! We are looking for a Senior System Software Engineer 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.

Requirements

B.S. or M.S. in Computer Science or equivalent program from an accredited University/College (or equivalent experience).
Minimum 12+ years of hands-on industry experience delivering SaaS/PaaS.
Strong self-initiative, passion, interpersonal skills, and adaptability to new technology.
Proven experience in developing and scaling RESTful, gRPC, MCP APIs and backend services.
Deep knowledge of cloud infrastructure and distributed system design (high reliability, fault tolerance, scalability, observability).
Demonstrated skills in a wide variety of languages, including Java, Golang, and Python.
Experience with Spring Boot/Java-based microservices architecture and Golang Kubernetes operators.
Familiarity with infrastructure as code, container orchestration (Kubernetes, ECS, OpenStack).
Experience with NoSQL databases (Cassandra) and caching solutions (Redis).
Deep understanding and experience in writing testable, maintainable, and performant codebases.

Nice To Haves

Proven track record of delivering high-quality distributed systems with a strong sense of ownership and operational excellence.
Drives cross-team alignment and collaboration through clear, effective communication to deliver complex initiatives.
Exposure to AI-assisted development tools and a passion for using LLMs to enhance development productivity.
Experience analyzing data to study cloud services and foresee potential areas of improvement.

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 the technology stack, architecture, and development methodology.
Drive automation, monitoring, and performance tuning.
Build and maintain scalable test harnesses to validate system performance at scale.
Raises the engineering bar through dedicated mentorship and driving technical excellence.