Senior AI Infrastructure & Applied ML Engineer

NVIDIA AI; Santa Clara (CA); On-site; USD 200,000 - 322,000; Full time

Job summary

NVIDIA is seeking a senior AI infrastructure engineer to advance Applied AI and Gen AI initiatives for design-for-test applications. You will lead deployment cycles, coordinate between on-prem and software teams, and tackle complex datasets with advanced analytics.

The role emphasizes scalable, multi-region systems, strong Python and C++ skills, and mentoring junior engineers. Competitive compensation with equity and full benefits are offered.

Qualifications

• 12+ years in AI infrastructure management or 10+ with MSEE; PhD with 6+ years.
• Experience building agents and multi-agent ecosystems.
• Experience with SQL, ETL, and data modeling.
• Hands-on cloud platforms (AWS, Azure, GCP).
• Architect and optimize multi-region distributed systems for availability, latency, throughput.

Responsibilities

• Work on Applied AI projects requiring ML and Gen AI expertise.
• Build and manage deployment cycles as part of AI infrastructure requirements.
• Liaise between on-prem infrastructure and software dev teams; monitor performance.
• Apply algorithms and statistics to analyze complex datasets.
• Develop and deploy DFT methodologies for next-gen products using Gen AI.
• Mentor junior engineers on test designs and trade-offs.

Skills

Python

C++

SQL

ETL

Data modeling

Multi-agent systems

Gen AI

AI infrastructure

Education

BSEE or equivalent

MSEE or equivalent

PhD in AI/related field

Tools

AWS

Azure

GCP

Job description

NVIDIA is seeking a senior AI infrastructure engineer to advance Applied AI and Gen AI initiatives for design-for-test applications. You will lead deployment cycles, coordinate between on-prem and software teams, and tackle complex datasets with advanced analytics.

The role emphasizes scalable, multi-region systems, strong Python and C++ skills, and mentoring junior engineers. Competitive compensation with equity and full benefits are offered.