NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s motivated by great technology and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. NVIDIA is at the forefront of generative AI models, from language to images. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work.
We are looking for a passionate, extraordinary engineer for the Metropolis team as Sr System Software Engineer to develop microservices that runs on Nvidia software. Come join the team and see how you can make a lasting impact on the world.
What you will be doing:
Lead full-stack development end-to-end: design and implement responsive front-end interfaces, robust back-end services, microservices architecture, and cloud-native applications using containers (Docker) and orchestration (Kubernetes).
Build high-performance, low-latency systems including real-time features, streaming pipelines, event-driven architectures with message brokers (e.g., Kafka, MQTT, Redis Streams), and scalable RESTful APIs.
Collaborate closely with Architects, designers, DevOps, and AI/ML teams to translate requirements into production-ready features, participate in code reviews, and contribute to architectural decisions.
Troubleshoot complex issues across the stack, optimize application performance, implement CI/CD pipelines, and deploy updates to cloud environments (AWS, Azure, or GCP).
What we need to see:
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience).
3+ years of hands-on full-stack development experience.
Solid back-end experience with Node.js (Express/NestJS) or Python (FastAPI, Django/Flask), building REST APIs, GraphQL, authentication (JWT, OAuth), and integrating with databases (PostgreSQL, Elasticsearch).
Good understanding of cloud fundamentals, Docker, Kubernetes basics, Git, and modern development workflows (CI/CD, testing: unit/integration/E2E).
Strong grasp of algorithms, data structures, time/space complexity, and problem-solving skills (comfortable with LeetCode-style questions).
Ways to stand out from the crowd:
Familiarity with real-time technologies (WebSockets, Socket.io), message queues, or event-driven systems.
Exposure to AI/ML integration: working with LLMs, prompt engineering, Retrieval-Augmented Generation (RAG), vector databases (Pinecone, Milvus), or Agentic AI workflows.
Knowledge of DevOps practices (Terraform, Helm, monitoring with Prometheus/Grafana), serverless architectures, or micro-frontends.
Contributions to open-source projects, personal side projects with live demos, or experience optimizing applications for high traffic/low latency.
NVIDIA is widely considered to be 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. If you're creative and autonomous, we want to hear from you!
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
