Nvidia Senior System Software Engineer – GeForce Cloud 

United States, California 

106990971

For more details, see .

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. In this role, you are required to leverage a deep understanding of programming languages, distributed systems, multithreading, cloud services, and system software to design, build, and deploy system services that run in the GeForce NOW cloud. Your work will craft scalable and efficient cloud services to drive Visual Computing, Deep Learning, and Artificial Intelligence.

What you’ll be doing:

• Design and build system services that operate in a cloud environment for a high-performance SaaS/PaaS platform.

• Develop microservices and APIs to support our scalable gaming infrastructure.

• 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 comprehensive testing.

• Drive standardization and best practices across multiple teams.

• Guide and mentor junior engineers, enabling high-quality code delivery and best practices.

What we need to see:

• BS in Computer Science or equivalent program from an accredited University/College (or equivalent experience).

• 8+ years of hands-on industry experience delivering complex C++ projects - especially those that leverage dynamically-linked shared C++ or C libraries across multiple platforms.

• Proven experience in developing system services for multiple operating systems.

• Strong self-initiative, passion, interpersonal skills, and adaptability to new technology.

• Deep understanding and experience in writing testable, maintainable, and performant codebases as well as building test frameworks that validate functionality at scale.

• Experience designing and implementing observability solutions for C++ projects, in particular ones involving metrics and tracing.

• Knowledge of cloud infrastructure, distributed system design (load balancing, microservices, service discovery), and security best practices for distributed cloud systems.

Ways to stand out from the crowd:

• Background with technologies like gRPC, Protobuf, CMake, Python 3, Go, C, and/or Rust.

• Familiarity with infrastructure as code, container orchestration (Kubernetes, ECS, OpenStack).

• Experience with package management systems like vcpkg and CI/CD pipelines (Jenkins, GitLab CI)

• Exposure to AI-assisted development tools and a passion for leveraging LLMs to enhance development productivity.

• Experience analyzing data to study system services and/or cloud systems and identify potential areas of improvement.