AI Systems Engineer (OCI/AI Infrastructure)

Ll Oefentherapie; Montpelier (VT); On-site; USD 120,000 - 170,000; Full time

Job summary

Oracle is seeking an AI Systems Engineer to evaluate and characterize next-generation GPU and AI accelerator platforms for OCI. This hands-on role focuses on bringing up hardware platforms, enabling AI training and inference software stacks, running representative workloads, and analyzing system performance in real operating conditions.

You will identify workload bounds (HBM/memory-bound, compute-bound, scale-up/out) and conduct comparative architecture analysis to translate findings into

Qualifications

• Hands-on engineering role focused on bringing up hardware platforms.
• Experience debugging hardware–software integration issues.

Responsibilities

• Evaluate and characterize GPU and AI accelerator platforms for OCI.
• Bring up new hardware platforms and enable AI training/inference software stacks.
• Run workloads, debug hardware/software integration issues, and analyze performance.
• Perform comparative architecture analysis across GPUs and accelerators and provide actionable recommendations.
• Collaborate with hardware and software teams and partners to shape next-gen AI infrastructure.

Skills

Hardware debugging

Performance analysis

Comparative architecture

Job description

Oracle Hardware Platform Development Engineering is seeking a highly driven AI Systems Engineer to evaluate and characterize next-generation GPU and AI accelerator platforms for Oracle Cloud Infrastructure (OCI). This is a hands-on engineering role focused on bringing up new hardware platforms, enabling AI training and inference software stacks, running representative workloads, and analyzing system performance under real operating conditions.

The engineer will identify whether workloads are HBM/memory-bandwidth, compute, scale-up, or scale-out bound, while characterizing power, thermals, memory behavior, utilization, scaling, and performance efficiency. Working directly in the lab, you will debug hardware/software integration issues, design and execute experiments, and develop data-driven insights that explain system behavior beyond benchmark results.

A key part of the role is comparative architecture analysis across GPUs and emerging AI accelerators. You will evaluate architectural tradeoffs and translate performance findings into clear, actionable recommendations on which platforms are best suited for specific AI training and inference workloads. You will work closely with internal hardware and software teams as well as technology partners to help shape Oracle’s next generation of high-performance AI infrastructure.

Position Overview:

This position is ideal for someone who loves deep systems engineering, debugging complex hardware–software interactions, and optimizing performance at every layer of the ML stack. You will play a pivotal role in enabling the training and deployment of next-generation LLMs and generative AI models.