NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled 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 looking for a strong senior back-end software engineer who can think out of the box, see the big picture, and be diligent to help redefine where GPU Cloud computing is headed. This essential role will give you an unrivaled opportunity to craft and deliver a new class of GPU service platforms for cloud computing in the up-and-coming fields of Deep Learning and AI. You will lead us into a new era of computing while working with the team to learn how we can tackle challenges in the cloud.
What you'll be doing:
Architect, Design, plan, implement and Operate complex PaaS for the GPU cloud services.
Help drive the underlying technology stack and implementation methodology.
Work closely with partners, stakeholders, UX and UI designers and front-end engineers on new products or features/improvements of existing products.
Obsessed with modules and/or product(s) consistency across the teams.
Nuts for test-driven development practices, help drive test automation, and CI/CD.
Customer focused - support, maintain, and document software functionality.
What we need to see:
BS/MS in CS or equivalent experience with 8+ years of hands-on experience building complex microservices
Strong background in building and operating large scale distributed cloud service.
Strong knowledge and experience in OOP concepts and Design Patterns. In-depth experience in design, architecture, building and operating complex large scale back-end systems - concurrent, distributed system, that’s performant, and highly available
Strong knowledge of core Java - Collections API, Streams API, Concurrency, I/O. Knowledge in RDBMS and NoSQL (Cassandra, DynamoDb, Redis) databases
Deep understanding of HTTP REST API, gRPC, security, and networking. Good understanding of API design as results of UX/UI/CLI requirements
- Managing and optimizing Kubernetes clusters for high availability, resilience, and performance.
- Monitoring system performance and implementing logging, metrics, and alerting through LGTM, Prometheus, Datadog, or Splunk.
- Implementing DevSecOps best practices, embedding security scans, compliance checks, and secret management in the CI/CD lifecycle.
- Supporting platform observability, diagnosing production incidents, and enhancing self-service for developer teams.
Ways to stand out from the crowd:
Expert in Java, Springboot, Golang, Gatling, Python, Kubernetes and Docker
Familiar with InfluxDB, Cassandra, RDS, Elasticsearch, Solr, Splunk
Cloud practitioner - comfortable to work in one or more cloud providers: AWS, GCP, Azure
Excel working in a dynamic, highly interactive environment. Drive to succeed as a team.
Hunger to achieve better results, dive deeper, invent and deliver faster, but simplify, desire to lead and mentor, and humble to learn new things to share with others
NVIDIA is widely considered to be one of the technology world’s most desirable employers (#1 in Blind and Glassdoor in 2022). We work with some of the most innovative technologies, forward-thinking and hardworking people in the world. If you are a great teammate who is inquisitive, innovative, driven to succeed, and autonomous, we want to hear from you! NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for extraordinary people like you to help us accelerate the next wave of artificial intelligence.
Skills Required
- BS/MS in Computer Science or equivalent experience with 8+ years building complex microservices
- Experience building and operating large-scale distributed cloud services
- Strong knowledge of OOP concepts, design patterns, and backend system architecture for concurrent, distributed, highly available systems
- Expertise in core Java (Collections, Streams, Concurrency, I/O)
- Knowledge of RDBMS and NoSQL databases (Cassandra, DynamoDB, Redis)
- Deep understanding of HTTP REST API, gRPC, security, and networking
- Manage and optimize Kubernetes clusters for high availability, resilience, and performance
- Implement logging, metrics, and alerting (LGTM, Prometheus, Datadog, Splunk)
- Apply DevSecOps best practices: security scans, compliance checks, secret management in CI/CD
- Test-driven development, test automation, and CI/CD practices
- Support, maintain, document software functionality and diagnose production incidents
- Experience with Spring Boot, Golang, Gatling, Python, Docker (ways to stand out)
- Familiarity with InfluxDB, RDS, Elasticsearch, Solr, Splunk (additional observability/data stores)
- Comfortable working in one or more cloud providers: AWS, GCP, Azure (preferred)
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
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.”
