Join OCI AI compute infrastructure as a Core Infrastructure Engineer, shaping the future of GPU control and data planes. This role is pivotal in optimizing the software and systems that power advanced AI workloads. You'll leverage your combined software development and systems expertise to enhance the testing, provisioning, and operational efficiency of GPU and bare metal resources. Collaborate closely with engineering, operations, and product teams to tackle complex infrastructure challenges, boost workload performance, and ensure an exceptional customer experience.

This is an opportunity to make a significant impact on cutting-edge technology in a dynamic environment. You will be instrumental in building and refining the foundation upon which next-generation AI services are delivered.

Design and implement scalable infrastructure services for GPU control and data planes, supporting customer AI workloads.

Develop and enhance automation for testing, provisioning, and validating GPU and bare metal compute resources.

Create modular, reusable infrastructure components with robust security, diagnostics, and monitoring.

Apply system and distributed systems principles to resolve bottlenecks and improve performance.

Collaborate with cross-functional teams to translate requirements into practical infrastructure solutions.

Define benchmarks and automate performance and reliability measurements.

Provide technical guidance, mentor junior developers, and uphold high standards in design and code reviews.

A Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience is required.

Possess at least 5 years of software development experience in languages like Java, Go, C, C++, C#, or Rust.

Demonstrate at least 3 years of experience designing and developing large-scale infrastructure, distributed systems, and services.

Showcase at least 1 year of technical leadership experience, clarifying complex projects and collaborating with stakeholders.

Strong fundamentals in system design, distributed systems, and systematic troubleshooting across software and infrastructure are essential.

Excellent communication skills, a strong sense of ownership, and the ability to manage multiple priorities in a fast-paced setting are critical.