Senior AI Infrastructure Engineer — Autonomous GPU Validation

NVIDIA Corporation; Santa Clara (CA); Presencial; USD 152.000 - 242.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity

Benefits

Descripción de la vacante

NVIDIA Corporation in Santa Clara, California, seeks a Senior Software Engineer for AI Infrastructure Solutions to build autonomous AI workflows, scalable services, and integration with engineering tools to accelerate GPU validation and launches.

You will collaborate across Modular Diagnostics to deliver production-grade AI platforms, establish observability, security, and reliability practices, and contribute to toolchains powering AI-assisted GPU development.

Formación

• BS or MS degree 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.

Responsabilidades

• Build and deliver agentic AI solutions—autonomous systems that reason, plan, and take actions.
• Build scalable AI infrastructure, services, APIs, and reusable platforms that enable 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.
• Establish evaluation, observability, security, and reliability practices for AI systems to ensure solutions perform at scale and meet enterprise standards.

Conocimientos

Python

C/C++

AI/ML systems

Debugging

System design

Educación

BS/MS in CS/CE/EE

Herramientas

MLOps

AI observability tools

Data pipelines

Descripción del empleo

NVIDIA Corporation in Santa Clara, California, seeks a Senior Software Engineer for AI Infrastructure Solutions to build autonomous AI workflows, scalable services, and integration with engineering tools to accelerate GPU validation and launches.

You will collaborate across Modular Diagnostics to deliver production-grade AI platforms, establish observability, security, and reliability practices, and contribute to toolchains powering AI-assisted GPU development.