Used Tools & Technologies
Go IaC LLM GPURequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Kubernetes @ 4
Redis @ 4
Python @ 4
Java @ 4
NoSQL @ 4
Distributed Systems @ 7
gRPC @ 4
OpenStack @ 3
Microservices @ 4
API @ 4
HTTP @ 4
Cassandra @ 4
Spring Boot @ 4
Deep Learning @ 4
Observability @ 7
AI @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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 http://www.geforce.com/geforce-now.
You will design, build, and deploy highly scalable cloud-based solutions for GeForce NOW. The role requires a deep understanding of programming languages, distributed systems, multi-threading, and cloud services. Your work will craft scalable and efficient cloud services to drive Visual Computing, Deep Learning, and Artificial Intelligence.
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.
- Raise the engineering bar through mentorship and driving technical excellence.
Requirements
- B.S. or M.S. in Computer Science or equivalent (or equivalent experience).
- Minimum 12+ years of hands-on industry experience delivering SaaS/PaaS.
- Strong self-initiative, 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 (reliability, fault tolerance, scalability, observability).
- Demonstrated skills in multiple languages, including Java, Golang, and Python.
- Experience with Spring Boot / Java-based microservices architecture and Golang Kubernetes operators.
- Familiarity with infrastructure as code and container orchestration (Kubernetes, ECS, OpenStack).
- Experience with NoSQL databases (Cassandra) and caching solutions (Redis).
- Strong emphasis on writing testable, maintainable, and performant codebases.
Preferred / Ways to stand out
- Proven track record delivering high-quality distributed systems with operational excellence.
- Drives cross-team alignment and collaboration to deliver complex initiatives.
- Exposure to AI-assisted development tools and interest in using LLMs to enhance development productivity.
- Experience analyzing data to study cloud services and identify improvements.
Compensation & Benefits
- Base salary range for Level 5: 224,000 USD - 356,500 USD per year.
- Base salary range for Level 6: 272,000 USD - 431,250 USD per year.
- Eligible for equity and benefits (see: https://www.nvidia.com/en-us/benefits/).
Applications for this job will be accepted at least until May 25, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is an equal opportunity employer and is committed to fostering a diverse work environment.