AI Systems Engineer (OCI/AI Infrastructure)

Ll Oefentherapie; Nashville (TN); On-site; USD 120,000 - 180,000; Full time

Job summary

Oracle is seeking a driven AI Systems Engineer to evaluate and characterize next-gen GPU and AI accelerator platforms for OCI. This hands-on role brings up hardware, enables AI training/inference stacks, runs workloads, and analyzes system performance in real operating conditions.

You will perform comparative architecture analysis across GPUs and accelerators, identify bound regimes (memory, compute, scale), debug hardware/software integration, and design experiments to produce data-driven,

Qualifications

• Hands-on hardware bring-up experience in lab environments.
• Experience evaluating GPU/AI accelerator platforms for AI workloads.
• Ability to design and execute experiments and analyze data.

Responsibilities

• Evaluate and characterize next-generation GPU and AI accelerator platforms for OCI.
• Bring up hardware, enable AI training/inference stacks, run workloads, and analyze performance under real operating conditions.
• Perform comparative architecture analysis across GPUs and accelerators; identify memory/computing/scale-bound regimes; debug hardware/software issues.

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.