Senior Systems Engineer -- Agentic AI

vibehackers; United States; On-site; USD 150,000 - 210,000; Full time

Job summary

NVIDIA is seeking a Senior Systems Engineer to design, build, and operate the infrastructure enabling agentic AI capabilities across products and research efforts. You will own robust systems for AI workloads and ensure seamless deployment pipelines.

Collaborate with researchers, software engineers, and product teams to integrate systems, optimize performance, and scale reliability of AI deployments across environments.

Qualifications

• Senior-level systems engineering experience relevant to AI systems and infrastructure.
• Experience collaborating with researchers, software engineers, and product teams.
• Strong communication and collaboration skills.

Responsibilities

• Design, implement, and maintain AI infrastructure.
• Collaborate with cross-functional teams to integrate systems into pipelines.
• Optimize performance, scalability, and reliability of AI deployments.

Skills

Systems engineering

AI infrastructure

Cross-functional collaboration

Job description

Related to vibe coding in that it involves building AI systems and infrastructure; likely intersects with rapid prototyping using AI tools.

About the Role

Senior Systems Engineer role at NVIDIA focused on agentic AI systems. Responsible for designing, implementing, and operating the infrastructure and systems that enable agentic AI capabilities across products and research efforts.

Job Description

Role

This Senior Systems Engineer position at NVIDIA focuses on agentic AI systems. The role centers on designing, building, and operating the systems and infrastructure required to develop and deploy agentic AI capabilities.

Key Responsibilities

• Design, implement, and maintain robust systems and infrastructure that support agentic AI workloads.
• Collaborate with cross-functional teams (researchers, software engineers, product teams) to integrate systems into product and research pipelines.
• Optimize performance, scalability, and reliability of AI systems and deployment environments.

Requirements

• Senior-level systems engineering experience relevant to AI systems and infrastructure.
• Strong collaboration and communication skills to work with multidisciplinary teams.

Notes

• Original job posting text was not provided; the above is a concise structured summary based on the role title and company.