Software Development Snr Director

Oracle•Seattle, WA

12h•$141,200 - $338,500

About The Position

As part of this focus on AI workloads and customers, we’re building provisioning, repair, monitoring, maintenance, configuration, and validation systems that enable us to deliver high-quality GPU clusters to our customers and operate them with high availability. These systems are responsible for firmware management of the GPUs, the high-speed backend NICs, and automated validation for GPU servers. Together, they build the GPU specialization on top of the general compute Data plane, which enables us to deliver high-performing and high-availability offerings to our customers. In this role, you would lead the software development organization building out and operating these systems and work with some of the largest players in the AI space, building systems that operate at unprecedented speed, scale, and reliability. You should be a systems specialist with exposure to low-level drivers and firmware, knowledge of repair systems, able to architect broad systems interactions, while being very hands-on, able to dive deep into any part of the stack and lower-level system interactions. You should value simplicity and scale, work comfortably in a collaborative, agile environment, and be excited to learn.

Requirements

Systems specialist with exposure to low-level drivers and firmware.
Knowledge of repair systems.
Ability to architect broad systems interactions.
Hands-on approach, able to dive deep into any part of the stack and lower-level system interactions.
Value simplicity and scale.
Comfortable working in a collaborative, agile environment.
Excited to learn.

Responsibilities

Lead the software development organization building out and operating provisioning, repair, monitoring, maintenance, configuration, and validation systems for GPU clusters.
Develop systems responsible for firmware management of GPUs and high-speed backend NICs.
Oversee automated validation for GPU servers.
Architect broad systems interactions and dive deep into any part of the stack and lower-level system interactions.
Work with customers in the AI space to build systems that operate at unprecedented speed, scale, and reliability.