Senior System Software Engineer – Geforce Now Cloud

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA

Senior System Software Engineer for NVIDIA's GeForce NOW Cloud Gaming service, focusing on designing, building, and scaling distributed cloud-based systems for a high-performance SaaS/PaaS platform. The role involves influencing technology stack, architecture, and development methodology, driving automation, monitoring, and performance tuning, and mentoring engineers. Requires deep knowledge of cloud infrastructure, distributed systems, and experience with various programming languages (Java, Golang, Python) and microservices architecture.

What you'd actually do

  1. Design, build, and scale distributed cloud-based systems for a high-performance SaaS/PaaS platform.
  2. Collaborate cross-functionally to drive new features, optimize existing systems, and enhance overall platform reliability.
  3. Influence the technology stack, architecture, and development methodology.
  4. Drive automation, monitoring, and performance tuning.
  5. Build and maintain scalable test harnesses to validate system performance at scale.

Skills

Required

  • 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.
  • 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 have

  • 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.

What the JD emphasized

  • Minimum 12+ years of hands-on industry experience delivering SaaS/PaaS.
  • Deep knowledge of cloud infrastructure and distributed system design (high reliability, fault tolerance, scalability, observability).
  • Proven experience in developing and scaling RESTful, gRPC, MCP APIs and backend services.