NVIDIA
Technology
SeniorSystemSoftwareEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior System Software Engineer at NVIDIA. Skills: full-stack development, microservices architecture, cloud-native applications, Docker, Kubernetes, Node.js, Python, RESTful APIs, event-driven architectures, CI/CD. Lead full-stack development end-to-end. design and implement responsive front-end interfaces”
What You'll Achieve.
make a lasting impact on the world; translate requirements into production-ready features; deploy updates to cloud environments
Industry & Context.
problem-solving skills; comfortable with LeetCode-style questions; troubleshoot complex issues
What They're Looking For.
Must Have
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), integrating with databases (PostgreSQL, Elasticsearch), Good understanding of cloud fundamentals, Docker basics, Kubernetes basics, Git, modern development workflows (CI/CD, testing: unit/integration/E2E), grasp of algorithms, data structures, time/space complexity, problem-solving skills (comfortable with LeetCode-style questions)
Nice to Have
Familiarity with real-time technologies (WebSockets, Socket. io), message queues, event-driven systems, AI/ML integration: working with LLMs, prompt engineering, Retrieval-Augmented Generation (RAG), vector databases (Pinecone, Milvus), Agentic AI workflows, DevOps practices (Terraform, Helm, monitoring with Prometheus/Grafana), serverless architectures, micro-frontends, Contributions to open-source projects, personal side projects with live demos, experience optimizing applications for high traffic/low latency
What You'll Do.
Lead full-stack development end-to-end
design and implement responsive front-end interfaces
design and implement robust back-end services
design and implement microservices architecture
design and implement cloud-native applications using containers (Docker) and orchestration (Kubernetes)
Build high-performance
low-latency systems including real-time features
event-driven architectures with message brokers (e. g.
and scalable RESTful APIs
Troubleshoot complex issues across the stack
optimize application performance
implement CI/CD pipelines
deploy updates to cloud environments (AWS
How You'll Work.
Team & Collaboration
Collaborate closely with Architects, designers, DevOps, and AI/ML teams to translate requirements into production-ready features; participate in code reviews; contribute to architectural decisions
Full Job Description
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 experi
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