Staff Integration Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Automotive, Healthcare, Virtual RealityIndustries

Requirements

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

Responsibilities

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

Skills

Key technologies and capabilities for this role

Data IntegrationB2B IntegrationAPIEvent-Driven ArchitectureCI/CDIaaSPaaSSaaSMonitoringAlertingIntegration FrameworksReal-Time Data ProcessingSelf-Healing Pipelines

Questions & Answers

Common questions about this position

What experience level is required for the Staff Integration Engineer role?

The role requires 8+ years of proven experience in Enterprise Integration frameworks, along with a Bachelor’s/Master’s degree in Computer Science or related field, or equivalent experience.

What are the key technical skills needed for this position?

Key skills include deep experience with SAP Cloud Integration-Data Services (CI-DS), SAP Integration Suite (CPI/API-M), proficiency in Java, Groovy, PowerShell or Python, SOA and API design (REST, GraphQL, SOAP), and CI/CD pipelines with Git, Jenkins, JFrog.

What is the company culture like at NVIDIA?

NVIDIA offers a diverse, encouraging environment where everyone is inspired to do their best work, motivated by phenomenal technology and outstanding people.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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