Senior AI Infrastructure Engineer — Scalable AI & Automation

NVIDIA Corporation; United States; On-site; USD 152,000 - 242,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation seeks a Senior Software Engineer for the AI Infrastructure Solutions team in the Modular Diagnostics group. You will build agentic AI solutions, scalable infrastructure, and end-to-end workflows that accelerate GPU validation and launch processes.

Ideal candidates have strong Python/C++ skills and a track record with AI agents, LLMs, and production software. You will collaborate across teams, drive projects to production, and shape enterprise-grade AI tooling and observability.

Qualifications

• BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
• 5+ years delivering production software, infrastructure, platform, or AI solutions.
• Strong programming skills in Python and C/C++.
• Track record of building applications with large language models, AI agents, retrieval-augmented generation, tool use, or workflow orchestration.
• Demonstrated ability to build scalable services, APIs, data pipelines, and production software infrastructure.
• Strong problem-solving, debugging, and system-design skills with a history of shipping reliable systems.
• Effective collaboration across technical and business teams, with clear communication and the ability to drive solutions from idea to production.

Responsibilities

• Build and deliver agentic AI solutions—autonomous systems that reason, plan, and take actions to automate silicon bring-up, test and validation workflows.
• Build scalable AI infrastructure, services, APIs, and reusable platforms for NVIDIA teams to develop and deploy AI-powered applications.
• Integrate AI agents with engineering tools, knowledge bases, data platforms, and existing business processes to build end-to-end intelligent workflows.
• Partner with multi-functional teams across Modular Diagnostics and adjacent organizations to identify high-impact use cases, define requirements, develop prototypes, and deploy production-ready solutions.
• Establish evaluation, observability, security, and reliability practices for AI systems to ensure solutions perform at scale and meet enterprise standards.
• Drive projects from concept through adoption, measure their impact against clear success criteria, and continuously improve their efficiency.

Skills

Python

C/C++

Production software

AI solutions

Distributed systems

Problem solving

Collaboration

Education

BS or MS in Computer Science, Computer Engineering, Electrical Engineering or equivalent

Job description

NVIDIA Corporation seeks a Senior Software Engineer for the AI Infrastructure Solutions team in the Modular Diagnostics group. You will build agentic AI solutions, scalable infrastructure, and end-to-end workflows that accelerate GPU validation and launch processes.

Ideal candidates have strong Python/C++ skills and a track record with AI agents, LLMs, and production software. You will collaborate across teams, drive projects to production, and shape enterprise-grade AI tooling and observability.