NVIDIA

Technology

SeniorSystemSoftwareEngineer

Pune, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“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.

Technology
Problems you'll solve

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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