NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for 30 years. It’s an outstanding legacy of innovation that’s motivated by phenomenal technology—and outstanding people. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you will be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Join the team and explore how you can make a meaningful impact on the world.
We are seeking a Staff Integration Engineer to join the Integration Engineering Team, playing a key role in crafting, developing, and maintaining innovative software solutions. Our focus is on creating a developer-centric Unified Integration framework, facilitating seamless system/application connectivity with a self-service approach, particularly emphasizing datasets for AI application development. Collaboratively, we aim to design sophisticated capabilities for building and deploying leading solutions across diverse AI applications like autonomous vehicles, healthcare, virtual reality, graphics engines, and visual computing.
What you’ll be doing:
Develop and lead the roadmap for enterprise integrations, including Data Integration, B2B, API, and event-driven ecosystems.
Architect scalable, real-time data integrations across a large application landscape using modern Integration designs.
Design and implement solutions for sophisticated processes across Planning, Order-to-Cash, Operations, and cloud-based platforms (IaaS, PaaS, SaaS).
Collaborate multi-functionally with product, and engineering teams (SW, HW, AI, Automotive) to understand requirements and integrate production-grade algorithms.
Automate monitoring, alerting, and CI/CD processes to ensure resilient, self-healing integration pipelines.
What we need to see:
Bachelor’s/Master’s degree in Computer Science, or related Engineering Degree, or equivalent experience.
8+ years of proven experience in Enterprise Integration framework worked on crafting and developing software with microservices, integration patterns, reusable artifacts in heterogeneous applications, systems & external partners using SAP Cloud Integration-Data Services (CI-DS), SAP Integration Suite(CPI/API-M), Control-M, and MFT such as GoAnywhere.
Deep experience across the SAP IBP integration lifecycle using SAP CI-DS, including design, build, governance, and data transformation.
Strong understanding of integration across IBP, Anaplan, SAP S/4, Data warehouse and other SaaS/Cloud platforms using CI-DS Agents, API, RTI, and event-driven patterns.
Skilled in SOA and API design, including REST, GraphQL, and SOAP.
Proficiency in Java, with scripting experience in Groovy, PowerShell, or Python.
Familiarity with authentication frameworks like OAuth, SAML, JWT, API keys, and digital certificates.
Experience building CI/CD pipelines with Git, Jenkins, JFrog, and monitoring via Splunk or similar tools.
Ways to Stand Out from the Crowd:
Authored whitepapers or spoke at industry events, showcasing thought leadership that shaped enterprise integration strategies and accelerated digital transformation.
Pioneered reusable integration frameworks or accelerators that reduced development time and improved onboarding velocity across teams.
Top Skills
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.”
