Senior Software Engineer, Platform Engineering

Jobverse.io; Santa Clara (UT); On-site; USD 140,000 - 210,000; Full time

Job summary

NVIDIA, a leader in accelerated computing, invites a Senior Software Engineer to architect, build, and scale AI platforms and agentic AI products using LLMs, RAG, enterprise integrations, and cloud-native technologies.

You will collaborate with Cloud and AI/ML teams to deliver end-to-end intelligent experiences across applications, integrating agents with enterprise data sources and internal microservices for real-world actions.

Qualifications

• Hands-on experience with test automation and production testing.
• Strong knowledge of Linux, embedded systems, firmware, and hardware/software integration.
• Experience with ITSM and ServiceNow modules (HR, Security, Finance) preferred.
• Ability to collaborate with cross-functional teams.
• Experience with end-to-end intelligent experiences using LLMs.

Responsibilities

• Hands-on experience with test automation, production testing, and automation frameworks
• Solid understanding of Linux, embedded systems, firmware, and hardware/software integration
• Deep knowledge of IT Service Management (ITSM) and ServiceNow (HR, Security, Finance modules preferred)
• Collaborate with cross-functional teams to deliver end-to-end intelligent experiences across applications
• Integrate agents with enterprise data sources, APIs, and internal microservices to enable real-world actions
• Architect and build agentic AI systems that leverage LLMs for reasoning, planning, and tool orchestration across enterprise workflows
• Develop scalable platforms for retrieval-augmented generation (RAG), long-term memory, and contextual reasoning
• Build reusable infrastructure for agent orchestration, tool integration, evaluation, and observability

Skills

Test automation

Linux

ITSM

ServiceNow

Collaboration

LLMs/RAG

Tools

Automation frameworks

Job description

NVIDIA is a technology company focused on accelerated computing, artificial intelligence, and generative AI. The Senior Software Engineer will architect, build, and scale AI platforms and agentic AI products using LLMs, RAG, enterprise integrations, and cloud-native technologies while collaborating with Cloud and AI/ML teams.

Responsibilities

• Hands-on experience with test automation, production testing, and automation frameworks
• Solid understanding of Linux, embedded systems, firmware, and hardware/software integration
• Deep knowledge of IT Service Management (ITSM) and ServiceNow (HR, Security, Finance modules preferred)
• Collaborate with cross-functional teams to deliver end-to-end intelligent experiences across applications
• Integrate agents with enterprise data sources, APIs, and internal microservices to enable real-world actions
• Architect and build agentic AI systems that leverage LLMs for reasoning, planning, and tool orchestration across enterprise workflows
• Develop scalable platforms for retrieval-augmented generation (RAG), long-term memory, and contextual reasoning
• Build reusable infrastructure for agent orchestration, tool integration, evaluation, and observability