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, 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 geforce.com . 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. 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. • Build and maintain scalable test harnesses to validate system performance at scale. • Raises the engineering bar through dedicated mentorship and driving technical excellence. What we need to see: • 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. Ways to stand out from the crowd: • 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. 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. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until September 4, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.

Requirements

Must-haves

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.
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.
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.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until September 4, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

javagolangpythonkubernetesai

Platform: eightfold
Effort: medium