Here at OCI we’re building the world’s largest AI clusters and we’re the fastest at bringing them to market. The AI Infrastructure organization at OCI is leading this effort.

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 and 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.

• Candidate will be responsible for providing leadership, direction and strategy.

• Establishing and development of organization to meet and execute on strategy.

• Working with geographically distributed teams and contribute to the success of their and of other related teams.

• Delivering large scale project on-time with the high quality

Required Qualifications

MS or BS in Computer Science, or equivalent experience

5+ years of experience managing Software Engineering teams.

12+ years of software engineering experience

Strong communication skills, analytical skills, and project management skills

Preferred Qualifications:

7 - 10+ years’ experience delivering and operating large scale, highly available systems with exposure to low level drivers, firmware and systems debugging.

Strong knowledge of data structures, algorithms, operating systems, and distributed systems fundamentals.

Working familiarity with networking protocols (TCP/IP, HTTP) and standard network architectures.

Strong experience and detailed technical knowledge in high performance computing and GPU systems.